Selected papers of Thomas M. Deserno, né Lehmann

Arwed Masch, Jonas Walkling, Luca Sander, Thomas M. Deserno.
Evaluating FlexTail: a wearable device for spinal posture tracking.
Biomedical Engineering / Biomedizinische Technik. 2026; 71:1-9.
doi: 10.1515/bmt-2025-0369

Haas P, Benedikt W, Deserno V, Deserno TM.
Standardized horse hoof photography and documentation.
J Sports Med Anim Rehabil Physiother. 2026; 4:200045.
doi: 10.1016/j.jsmarp.2026.200045

Tegegne MD, Rostam Niakan Kalhori S, Haas P, Sobotta VMG, Warnecke J, Deserno TM.
Wearable devices for remote monitoring of chronic diseases: systematic review.
JMIR Mhealth Uhealth. 2026; 14(1):1–22.
doi: 10.2196/74071

Masresha Derese Tegegne, Samson W. Tu , Islam Ibrahim, Ronald Cornet, Sharareh Rostam Niakan Kalhori , Thomas M. Deserno.
Mapping the terminology of the early rescue chain to the Foundation of ICD-11: Registered report protocol.
PLOS One. 2026; 21(6):1-17.
doi: 10.1371/journal.pone.0350733

Goldschmidt AJW, Deserno TM, Winter A.
Kurzfassung der ethischen Leitlinien der GMDS e.V. in 10 Punkten.
GMS Med Inform Biom Epidemiol. 2025; 21:1–3.
doi: 10.3205/mibe000295

Haghi M, Abani S, Khooyooz S, Jahanjoo A, Rashidibajgan S, TaheriNejad N, Deserno TM, Volk H.
One digital health through wearables: a viewpoint on human-pet integration towards healthcare 5.0.
Front Digit Health. 2025; 7:1–9.
doi: 10.3389/fdgth.2025.1668739

Sobotta VMG, Kuhlmann SB, Awad M, Breininger K, Decker S, Deserno TM.
Digital twin framework for interpretable real-time injury prediction in road traffic accidents.
Proc IEEE ICECCME. 2025; 738–43.
doi: 10.1109/iceccme64568.2025.11277673

Haas P, Winter B, Deserno V, Deserno TM.
Real-time localization and view detection of horse hooves from photographs.
Proc IEEE ICECCME. 2025; 369–75.
doi:  10.1109/ICECCME64568.2025.11277903

Tegegne MD, Ibrahim I, Cornet R, Deserno TM.
Mapping automatic alerting concepts in the early rescue chain to ICD-11.
Proc MedInfo. 2025; 329:93–7.
doi: 10.3233/SHTI250808

Lobbes J, Rostam Niakan Kalhori S, Tanhapour M, Deserno TM.
Medwings: a remote warning monitoring system for clinical deterioration detection.
Proc MedInfo. 2025; 329:411–15.
doi: 10.3233/SHTI250872

Haas P, Deserno TM.
Signal quality of smart shirts recording electrocardiography.
Proc MedInfo. 2025; 329:1920–1.
doi:  10.3233/SHTI251279

Tegegne MD, Ibrahim I, Cornet R, Deserno TM.
Terminology for automatic alerts in the early rescue chain.
Proc MedInfo. 2025; 329:1580–1.
doi:  10.3233/SHTI251111

Warnecke JM, Sander L, Moraitopoulos A, Bollmann J, Deserno TM.
Integrated respiratory rate detection for vehicle drivers using multi-modal signal fusion.
Proc IEEE EMBS. 2025; 47:1–4.
doi:  10.1109/EMBC58623.2025.11253573

Walkling J, Sander L, Masch A, Deserno TM.
Wearable spine tracker vs. video-based pose estimation for human activity recognition.
Sensors. 2025; 25(12):3806.
doi: 10.3390/s25123806

Ji D, Flormann M, Bollmann J, Henze R, Deserno TM.
Exploring the correlation between physiological states and driving behavior on highways with integrated ECG measurements.
SAE Int Tech Pap. 2025; 01(0292):1–9.
doi: 10.4271/2025-01-0292

Mackwan BS, Haas P, Deserno V, Deserno TM.
Automatic measurement of hoof conformation in horses.
Proc SPIE. 2025; 13411:134110Y.
doi: 10.1117/12.3047664

Deserno TM, Baumgartner C.
Minitrack: healthcare in motion: innovations in mobility-integrated health systems.
Proc HICSS. 2025; 3399–400.
doi: 10.24251/HICSS.2025.409

Warnecke JM, Bollmann J, Ryll L, Singh H, Deserno TM.
Mobilizing health monitoring: the development and integration of a health-eScooter system.
Proc HICSS. 2025; 3411–20.
doi: 10.24251/HICSS.2025.411

Lesta GD, Deserno TM, Abani S, Janisch J, Hänsch A, Laue M, Winzer S, Dickinson PJ, S DD, Gutierrez, Quintana R, Subbotin A, Bocharova K, McLarty E, Lemke L, Wang, Leandro A, Spohn F, Volk HA, Nessler JN.
Automated brain extraction for canine magnetic resonance images.
BMC Vet Res. 2025; 21(1):1–13.
doi:  10.1186/s12917-025-05003-4

Rittner L, Baumgartner C, Deserno TM.
Appendix: summary of best papers selected for the IMIA yearbook 2024, sensors, signals, and imaging informatics section.
IMIA Yearb Med Inform. 2024; 33:280–2.
doi: 10.1016/j.media.2023.102744

Rittner L, Baumgartner C, Deserno TM.
Sensors, signals, and imaging informatics: best contributions from 2023.
IMIA Yearb Med Inform. 2024; 33:277–9.
doi: 10.1055/s-0044-1800757

Li J, Zhou Z, Yang J, Pepe A, Gsaxner C, Luijten G, Qu C, Zhang T, Chen X, Li W, Wodzinski M, Friedrich P, Xie K, Jin Y, Ambigapathy N, Nasca E, Solak N, Melito GM, Vu VD, Memon AR, Schlachta C, De Ribaupierre S, Patel R, Eagleson R, Chen X, Mächler H, Kirschke JS, de la Rosa E, Christ PF, Li HB, Ellis DG, Aizenberg MR, Gatidis S, Küstner T, Shusharina N, Heller N, Andrearczyk V, Depeursinge A, Hatt M, Sekuboyina A, Löffler MT, Liebl H, Dorent R, Vercauteren T, Shapey J, Kujawa A, Cornelissen S, Langenhuizen P, Ben-Hamadou A, Rekik A, Pujades S, Boyer E, Bolelli F, Grana C, Lumetti L, Salehi H, Ma J, Zhang Y, Gharleghi R, Beier S, Sowmya A, Garza-Villarreal EA, Balducci T, Angeles-Valdez D, Souza R, Rittner L, Frayne R, Ji Y, Ferrari V, Chatterjee S, Dubost F, Schreiber S, Mattern H, Speck O, Haehn D, John C, Nürnberger A, Pedrosa J, Ferreira C, Aresta G, Cunha A, Campilho A, Suter Y, Garcia J, Lalande A, Vandenbossche V, Van Oevelen A, Duquesne K, Mekhzoum H, Vandemeulebroucke J, Audenaert E, Krebs C, van Leeuwen T, Vereecke E, Heidemeyer H, Röhrig R, Hölzle F, Badeli V, Krieger K, Gunzer M, Chen J, van Meegdenburg T, Dada A, Balzer M, Fragemann J, Jonske F, Rempe M, Malorodov S, Bahnsen FH, Seibold C, Jaus A, Marinov Z, Jaeger PF, Stiefelhagen R, Santos AS, Lindo M, Ferreira A, Alves V, Kamp M, Abourayya A, Nensa F, Hörst F, Brehmer A, Heine L, Hanusrichter Y, Weßling M, Dudda M, Podleska LE, Fink MA, Keyl J, Tserpes K, Kim MS, Elhabian S, Lamecker H, Zukić D, Paniagua B, Wachinger C, Urschler M, Duong L, Wasserthal J, Hoyer PF, Basu O, Maal T, Witjes MJH, Schiele G, Chang TC, Ahmadi SA, Luo P, Menze B, Reyes M, Deserno TM, Davatzikos C, Puladi B, Fua P, Yuille AL, Kleesiek J, Egger J.
MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.
Biomed Tech (Berl). 2024; 70:71-90.
doi: 10.1515/bmt-2024-0396

Farhadi Ghalati P, Samadi ME, Verket M, Balfanz P, Müller-Wieland D, Jonas S, Napp A, Wanner C, Ketteler M, Vassiliadou A, Heidenreich S, Deserno TM, Hetzel G, Fliser D, Kelm M, Floege J, Marx N, Schuppert A.
Monitoring individualized glucose levels predicts risk for bradycardia in type 2 diabetes patients with chronic kidney disease: a pilot study.
Sci Rep. 2024; 14:30290.
doi: 10.1038/s41598-024-81983-x

Tegegne MD, Krips M, Ibrahim I, Deserno TM.
Challenges of integrating ICD-11 into automatic alerting systems.
Stud Health Technol Inform. 2024; 316:267-71.
doi: 10.3233/SHTI240395

Sobotta VMG, Deserno TM.
Creating digital rescue sheets.
Stud Health Technol Inform. 2024; 316:1844-8.
doi: 10.3233/SHTI240790

Ahmed N, Saeed K, Rodrigues JL, Naeem M, Correa A, Sanabboon C, Rostam Niakan Kalhori S, Deserno TM.
Deep learning-based prediction of daily COVID-19 cases using X (Twitter) data.
Stud Health Technol Inform. 2024; 316:1989-93.
doi: 10.3233/SHTI240824

Singh H, Warnecke JM, Picker A, Ganapathy N, Deserno TM.
Multimodal signal fusion for heartbeat monitoring on eScooters.
Stud Health Technol Inform. 2024; 316:973-7.
doi: 10.3233/SHTI240573

Haas P, Spicher N, Warnecke JM, Deserno TM.
Quality of electrocardiography recorded with consumer smart shirts.
Stud Health Technol Inform. 2024; 316:487-91.
doi: 10.3233/SHTI240455

Senthilkumar L, Warnecke JM, Bollmann J, Deserno TM.
Robust in-vehicle signal quality assessment using multimodal signal fusion.
Stud Health Technol Inform. 2024; 316:988-92.
doi: 10.3233/SHTI240576

Rostam Niakan Kalhori S, Tanhapour M, Deserno TM.
Unobtrusive monitoring of clinical deterioration in smart homes.
Stud Health Technol Inform. 2024; 316:513-7.
doi: 10.3233/SHTI240462

Singh Roha V, Gaber Gendy ME, Pavan K, Deserno TM, Ganapathy N, Yuce MR.
Enhanced driver stress prediction from multiple biosignals via CNN encoder-decoder model.
Proc IEEE EMBS. 2024; 46:1–4.
doi: 10.1109/EMBC53108.2024.10781529

Samantaraya S, Nair K, Baffa MFO, Deserno TM.
Breast cancer diagnostics using angular view infrared images.
Proc SPIE. 2024; 12931:129310U-9.
doi: 10.1117/12.3009158

Schüler W, Bente LM, Deserno TM, Kacprowski T.
Real-time ECG-monitoring in virtual reality.
Proc SPIE. 2024; 12931:1293113-10.
doi: 10.1117/12.3006472

Baffa MFO, Schaadt NS, Feuerhake F, Deserno TM.
Unsupervised deep learning for clustering tumor subcompartments histopathological images in non small cell lung cancer.
Proc SPIE. 2024; 12931:129310Z-8.
doi: 10.1117/12.3009180

Mahmood U, Shukla-Dave A, Chan HP, Drukker K, Samala RK, Chen Q, Vergara D, Greenspan H, Petrick N, Sahiner B, Huo Z, Summers RM, Cha KH, Tourassi G, Deserno TM, Grizzard KT, Nappi JJ, Yoshida H, Regge D, Mazurchuk R, Suzuki K, Morra L, Huisman H, Armato SG III, Hadjiiski L.
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.
BJR Artif Intell. 2024; 1:1-8.
doi: 10.1093/bjrai/ubae003

Baffa MFO, Zezell DM, Bachmann L, Pereira TM, Deserno TM, Felipe JC.
Deep neural networks can differentiate thyroid pathologies on infrared hyperspectral images.
Comput Methods Programs Biomed. 2024; 247:1-8.
doi: 10.1016/j.cmpb.2024.108100

Schwarze S, Schaadt NS, Sobotta VMG, Spicher N, Skripuletz T, Esmaeilzadeh M, Krauss JK, Hartmann C, Deserno TM, Feuerhake F.
Task design for crowdsourced glioma cell annotation in microscopy images.
Sci Rep. 2024; 14:1965.
doi: 10.1038/s41598-024-51995-8

Warnecke JM, Baumgartner C, Breitner MH, Briechle DF, Deserno TM, Heumann M, Johns M, Picker A, Rausch A, Wolf L.
Continuous health monitoring on shared mobility devices:a health-escooter prototype.
Proc HICSS. 2024; 3485-94.
doi: 10.24251/HICSS.2024.422

Deserno TM, Baumgartner C, Breitner MH, Rausch A.
Minitrack: healthcare applications for personal vehicles.
Proc HICSS. 2024; 3483-4.
doi: 10.24251/HICSS.2024.421

Ji D, Flormann M, Warnecke JM, Henze R, Deserno TM.
Set-up of an in-car system for investigating driving style on the basis of the 3D-method.
SAE Int Tech Pap. 2024; 01(3001):1–8.
doi: 10.4271/2024-01-3001

Baffa M, Bachmann L, Zezell DM, Pereira TM, Deserno TM, Felipe JC.
Advancing thyroid pathologies detection with recurrent neural networks and micro-FTIR hyperspectral imaging.
Proc IEEE CBMS. 2023; 611-15.
doi: 10.1109/CBMS58004.2023.00288

Benis A, Haghi M, Tamburis O, Darmoni SJ, Grosjean J, Deserno TM.
Digital emergency management for a complex one health landscape: the need for standardization, integration, and interoperability.
IMIA Yearb Med Inform. 2023; 32:27-35.
doi: 10.1055/s-0043-1768742

Baumgartner C, Rittner L, Deserno TM.
Machine and deep learning dominate recent innovations in sensors, signals and imaging informatics.
IMIA Yearb Med Inform. 2023; 32:282-85.
doi: 10.1055/s-0043-1768743

Spicher N, Wesemeyer T, Deserno TM.
Crowdsourcing image segmentation for deep learning: integrated platform for citizen science, paid microtask, and gamification.
Biomed Tech (Berl). 2023; 69:1-13.
doi: 10.1515/bmt-2023-0148

Warnecke JM, Lasenby J, Deserno TM.
Robust in-vehicle heartbeat detection using multimodal signal fusion.
Sci Rep. 2023; 13:20864.
doi: 10.1038/s41598-023-47484-z

Warnecke JM, Lasenby J, Deserno TM.
Robust in-vehicle respiratory rate detection using multimodal signal fusion.
Sci Rep. 2023; 13:20435.
doi: 10.1038/s41598-023-47504-y

Vergara D, Armato SG 3rd, Hadjiiski L, Drukker K, Cha K, Chan HP, Morra L, Näppi JJ, Sahiner B, Yoshida H, Chen Q, Deserno TM, Greenspan H, Huisman H, Huo Z, Mazurchuk R, Petrick N, Regge D, Samala R, Summers RM, Suzuki K, Tourassi G, Shukla-Dave A, Mahmood U.
Best practices for artificial intelligence and machine learning for computer-aided diagnosis in medical imaging.
J Am Coll Radiol. 2023; 21:1-3.
doi: 10.1016/j.jacr.2023.10.021

Wittau J, Celik S, Kacprowski T, Deserno TM, Seifert R.
Fake paper identification in the pool of withdrawn and rejected manuscripts submitted to Naunyn Schmiedeberg’s Archives of Pharmacology.
Naunyn Schmiedebergs Arch Pharmacol. 2023; 397:1-11.
doi: 10.1007/s00210-023-02741-w

Shirur N, Birkner C, Bleeck M, Forster A, Deserno TM, Henze R.
3D simulations and laboratory experiments to evaluate a dynamic airbag valve.
Int J Crashworthiness. 2023; 1-11.
doi: 10.1080/13588265.2023.2252214

Roha VS, Ganapathy N, Spicher N, Saha S, Deserno TM.
Assessment of driver's stress using multimodal biosignals and regularized deep kernel learning.
Proc IEEE EMBS. 2023; 45:1-4.
doi: 10.1109/EMBC40787.2023.10340564

Rostam Niakan Kalhori S, Deserno TM, Soleiman J, Kasiri Habibabadi S.
Data sharing platform for MIMIC-IV and MIMIC-ED data marts: designing a data retrieving system based on the intra-hospital patient transfer pathway.
Stud Health Technol Inform. 2023; 302:98-102.
doi: 10.3233/SHTI230072

Sobotta VMG, Flormann M, Henze R, Deserno TM.
Towards prediction of injuries in traffic accidents.
Stud Health Technol Inform. 2023; 302:118-22.
doi: 10.3233/SHTI230076

Haas P, Deserno TM.
Technological assessment of smart wearables and 5G-integrated edge computing for real-time health monitoring.
Stud Health Technol Inform. 2023; 302:1002-6.
doi: 10.3233/SHTI230326

Benis A, Haghi M, Deserno TM, Tamburis O.
One digital health intervention for monitoring human and animal welfare in smart cities: viewpoint and use case.
JMIR Med Inform. 2023; 11(e43871):1-18.
doi: 10.2196/43871

Srivastava S, Ershadi A, Haghi M, Deserno TM.
Reliability estimation of armchair-based capacitive ECG using video-based pose estimation.
Proc SPIE. 2023; 12469:124690E.
doi: 10.1117/12.2654327

Ramachandran A, Gokhale K, Kripps M, Deserno TM.
Video-based in-vehicle action recognition for continuous health monitoring.
Proc SPIE. 2023; 12469:124690V.
doi: 10.1117/12.2655116

Hadjiiski L, Cha K, Chan HP, Drukker K, Morra L, Näppi JJ, Sahiner B, Yoshida H, Chen Q, Deserno TM, Greenspan H, Huisman H, Huo Z, Mazurchuk R, Petrick N, Regge D, Samala R, Summers RM, Suzuki K, Tourassi G, Vergara D, Armato SG.
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Med Phys. 2023; 50(2):1-24.
doi: 10.1002/mp.16188

Kalhori SRN, Deserno TM, Haghi M, Ganapathy N.
A protocol for a systematic review of electronic early warning/track-and-trigger systems (EW/TTS) to predict clinical deterioration: focus on automated features, technologies, and algorithms.
PLoS One. 2023; 18(e0283010):1-11.
doi: 10.1371/journal.pone.0283010

Haghi M, Ershadi A, Deserno TM.
Recognizing human activity of daily living using a flexible wearable for 3D spine pose tracking.
Sensors. 2023; 23(2066):2066.
doi: 10.3390/s23042066

Baumgartner C, Deserno TM.
Best research papers in the field of sensors, signals, and imaging informatics 2021.
IMIA Yearb Med Inform. 2022; 31(01):296-302.
doi: 10.1055/s-0042-1742545

Deserno TM, Warnecke JM, Flormann M, Henze R.
Combining vehicle bus and vital sign sensors for continuous health monitoring during driving: concept and first results.
Proc IEEE ICECCME. 2022; 1-6.
doi: 10.1109/ICECCME55909.2022.9987896

Selvaraju V, Spicher N, Swaminathan R, Deserno TM.
Unobtrusive heart rate monitoring using near-infrared imaging during driving.
Proc IEEE EBMC. 2022; 1-5.
doi: 10.1109/EMBC48229.2022.9871416

Rostam Niakan Kalhori S, Deserno TM.
Requirement analysis for an intelligent warning system to alarm the rapid response team prior to patient deterioration.
Stud Health Technol Inform. 2022; 295:5-11.
doi: 10.3233/SHTI220646

Haghi M, Benis A, Deserno TM.
Accident & emergency informatics and one digital health.
IMIA Yearb Med Inform. 2022; 31(01):40-6.
doi: 10.1055/s-0042-1742506

Warnecke JM, Ganapathy N, Koch E, Dietzel A, Flormann M, Henze R, Deserno TM.
Printed and flexible ECG electrodes attached to the steering wheel for continuous health monitoring during driving.
Sensors. 2022; 22(11):4198.
doi: 10.3390/s22114198

Selvaraju V, Spicher N, Wang J, Ganapathy N, Warnecke JM, Leonhardt S, Swaminathan R, Deserno TM.
Continuous monitoring of vital signs using cameras: a systematic review.
Sensors. 2022; 22(11):4097.
doi: 10.3390/s22114097

Selvaraju V, Spicher N, Swaminathan R, Deserno TM.
Face detection from in-car video for continuous health monitoring.
Proc SPIE. 2022; 12037:12037088.
doi: 10.1007/978-3-658-36932-3_71

Meratwal M, Spicher N, Deserno TM.
Multi-camera and multi-person indoor activity recognition for continuous health monitoring using long short term memory.
Proc SPIE. 2022; 12037:120370A8.
doi: 10.1117/12.2612642

Nishikawa RM, Deserno TM, Madabhushi A, Krupinski EA, Summers RM, Hoeschen C, Mello-Thoms C, Myers KJ, Kupinski MA, Siewerdsen JH.
Fifty years of SPIE medical imaging proceedings papers.
J Med Imaging (Bellingham). 2022; S1:1-16.
doi: 10.1117/1.JMI.9.S1.012207

Jacob T, Krips M, Deserno TM.
Vehicle as a diagnostic space: action recognition while driving a car.
Proc SPIE. 2022; 12037:12037076.
doi: 10.1117/12.2612611

Varma H, Ganapathy N, Deserno TM.
Video-based driver emotion recognition using hybrid deep spatio-temporal feature learning.
Proc SPIE. 2022; 12037:12037097.
doi: 10.1117/12.2613118

Alvarez-Romero C, Martínez-García A, Sinaci AA, Gencturk M, Méndez E, Hernández-Pérez T, Liperoti R, Angioletti C, Löbe M, Ganapathy N, Deserno TM, Almada M, Costa E, Chronaki C, Cangioli G, Cornet R, Poblador-Plou B, Carmona-Pírez J, Gimeno-Miguel A, Poncel-Falcó A, Prados-Torres A, Kovacevic T, Zaric B, Bokan D, Hromis S, Djekic Malbasa J, Rapallo Fernández C, Velázquez Fernández T, Rochat J, Gaudet-Blavignac C, Lovis C, Weber P, Quintero M, Perez-Perez MM, Ashley K, Horton L, Parra Calderón CL..
FAIR4Health: findable, accessible, interoperable and reusable data to foster health research.
Open Res Europe. 2022; 2(34):1-8.
doi: 10.12688/openreseurope.14349.2

Wang J, Aguirre Mehlhorn M, Ditler K, Effner B, Deserno TM.
Tracking activities of daily living in the home office.
Stud Health Technol Inform. 2022; 289:162-5.
doi: 10.3233/SHTI210884

Keuchel D, Spicher N, Wang J, Völcker M, Gong Y, Deserno TM.
SHACL-based report quality evaluation for health IT-induced medication errors.
Proc MedInfo. 2021; 290:414-8.
doi: 10.3233/SHTI220108

Deserno TM, Stachowiak N, Wang J.
Beyond a three-dimensional digital rescue sheet.
Proc IEEE ICECCME. 2021; 1-6.
doi: 10.1109/ICECCME52200.2021.9590849

Spicher N, Schweins M, Thielecke L, Kürner T, Deserno TM.
Feasibility analysis of fifth-generation (5G) mobile networks for transmission of medical imaging data.
Proc IEEE EMBC. 2021; 43:1791-5.
doi: 10.48550/arXiv.2107.14661

Spicher N, Klingenberg A, Purrucker V, Deserno TM.
Edge computing in 5G cellular networks for real-time analysis of electrocardiography recorded with wearable textile sensors.
Proc IEEE EMBC. 2021; 43:1735-9.
doi: 10.48550/arXiv.2107.13767

Warnecke JM, Boecker N, Spicher N, Wang J, Flormann M, Deserno TM.
Sensor fusion for robust heartbeat detection during driving.
Proc IEEE EMBC. 2021; 43:447-50.
doi: 10.1109/EMBC46164.2021.9630935

Schüler W, Spicher N, Deserno TM.
Cardiopulmonary coupling analysis using smart wearables and mobile computing.
Curr Dir Biomed Eng. 2021; 7(2):291-4.
doi: 10.1515/cdbme-2021-2074

Maier A, Deserno TM, Handels H, Maier-Hein K, Palm C, Tolxdorff T.
IJCARS: BVM 2021 special issue.
Int J Comput Assist Radiol Surg. 2021; 16:2067-8.
doi: 10.1007/s11548-021-02534-7

Warnecke JM, Wang J, Cakir T, Spicher N, Ganapathy N, Deserno TM.
Registered report protocol: developing an artifact index for capacitive electrocardiography signals acquired with an armchair.
Plos One. 2021; 16(7):e0254780.
doi: 10.1371/journal.pone.0254780

Shirur N, Birkner C, Henze R, Deserno TM.
Tactile occupant detection sensor for automotive airbag.
Energies. 2021; 14(17):5288.
doi: 10.3390/en14175288

Haghi M, Barakat R, Spicher N, Heinrich C, Jageniak J, Öktem GS, Krips M, Wang J, Hackel S, Deserno TM.
Automatic information exchange in the early rescue chain using the International Standard Accident Number (ISAN).
Healthcare. 2021; 9(8):996.
doi: 10.3390/healthcare9080996

Ganapathy N, Baumgärtel D, Deserno TM.
Automatic detection of atrial fibrillation in ECG using co-occurrence patterns of dynamic symbol assignment and machine learning.
Sensors. 2021; 21(10):3542.
doi: 10.3390/s21103542

Deserno TM, Dugas M, Löbe M, Stausberg J.
A topical collection on ICT for health science research: EFMI special topic conference.
J Med Syst. 2021; 45(7):70.
doi: 10.1007/s10916-021-01739-2

Spicher N, Barakat R, Wang J, Haghi M, Jagieniak J, Öktem GS, Hackel S, Deserno TM.
Proposing an International Standard Accident Number (ISAN) for interconnecting ICT systems of the rescue chain.
Methods Inf Med. 2021; 60(S01):e20-e31.
doi: 10.1055/s-0041-1728676

Fernandez-Luque L, Kushniruk AW, Georgiou A, Basu A, Petersen C, Ronquillo C, Paton C, Nøhr C, Kuziemsky CE, Alhuwail D, Skiba D, Huesing E, Gabarron E, Borycki EM, Magrabi F, Denecke K, Peute LWP, Topaz M, Al-Shorbaji N, Lacroix P, Marcilly R, Cornet R, Iyengar S, Gogia SB, Kobayashi S, Deserno TM, Mettler T, Vimarlund V, Zhu X.
Evidence-based health informatics as the foundation for the COVID-19 response: a joint call for action.
Methods Inf Med. 2021; 59(06):183-92.
doi: 10.1055/s-0041-1726414

Haghi M, Danyali S, Ayasseh S, Wang J, Aazami R, Deserno TM.
Wearable devices in health monitoring from the environmental towards multiple domains: a survey.
Sensors. 2021; 21(4):2130.
doi: 10.3390/s21062130

Taufeeque M, Samad K, Spicher N, Deserno TM.
Multi-camera, multi-person, and real- time fall detection using long short term memory.
Proc SPIE. 2021; 11601:1160109.
doi: 10.1007/978-3-658-33198-6_29

Jauer ML, Spicher N, Deserno TM.
Gamification concept for acquisition of medical image segmentation via crowdsourcing.
Proc SPIE. 2021; 11601:116010D.
doi: 10.1117/12.2582259

Wesemeyer T, Jauer ML, Deserno TM.
Annotation quality vs. quantity for deep-learned medical image segmentation.
Proc SPIE. 2021; 11601:116010C.
doi: 10.1117/12.2582226

Beyerer J, Deserno TM, Straube S, Tchouchenkov I, Wedler.
Kompetent im Einsatz: Variable Autonomie Lernender Systeme in lebensfeindlichen Umgebungen.
Plattform Lernende Systeme. 2021; 11601:1-38.

Wang J, Spicher N, Warnecke JM, Haghi M, Schwartze J, Deserno TM.
Unobtrusive health monitoring in private spaces: the smart home.
Sensors. 2021; 21(3):864.
doi: 10.3390/s21030864

Ganapathy N, Swaminathan R, Deserno TM.
Adaptive learning and cross training improves R-wave detection in ECG.
Comput Methods Programs Biomed. 2021; 200:105931.
doi: 10.1016/j.cmpb.2021.105931

Hsu W, Baumgartner C, Deserno TM.
Notable papers and new directions in sensors, signals, and imaging informatics.
IMIA Yearb Med Inform. 2021; 30:87-95.
doi: 10.1055/s-0041-1726526

Deserno TM, Jakob R.
Accident & emergency informatics: terminologies and standards are needed for digital health in the early rescue chain.
Proc IEEE AICT. 2020; 17-21.
doi: 10.1109/AICT50176.2020.9368745

Goel S, Sharma Y, Jauer ML, Deserno TM.
WeLineation: crowdsourcing delineations for reliable ground truth estimation.
Proc SPIE. 2020; 11318:113180C.
doi: 10.1117/12.2551279

Jauer ML, Goelb S, Sharma Y, Deserno TM, Gijs M, Berendschot TTJM, Bertens CJF, Nuijts RMMA.
STAPLE performance assessed on crowdsourced sclera segmentations.
Proc SPIE. 2020; 11318:113180K.
doi: 10.1117/12.2551297

Barakat R, Deserno TM.
Automatic alerting of accidents and emergencies: the international standard accident number and vital sign data embedded in future PACS.
Proc SPIE. 2020; 11318:113180X.
doi: 10.1117/12.2567083

Haghi M, Danyali S, Thurow K, Warnecke JM, Wang J, Deserno TM.
Hardware prototype for wrist-worn simultaneous monitoring of environmental, behavioral, and physiological parameters.
Appl Sci. 2020; 10(16):5470.
doi: 10.3390/app10165470

Haghi M, Deserno TM.
General conceptual framework of future wearables in healthcare: unified, unique, ubiquitous, and unobtrusive (U4) for customized quantified output.
Chemosensors. 2020; 8(3):85.
doi: 10.3390/chemosensors8030085

Deserno TM.
Transforming smart vehicles and smart homes into private diagnostic spaces.
Proc ACM APIT. 2020; 165-71.
doi: 10.1145/3379310.3379325

Wang J, Warnecke JM, Haghi M, Deserno TM.
Unobtrusive health monitoring in private spaces: the smart vehicle.
Sensors. 2020; 20(9):2442.
doi: 10.3390/s20092442

Sinaci AA, Núñez-Benjumea FJ, Gencturk M, Jauer ML, Deserno TM, Chronaki C, Cangioli G, Rodríguez-Pérez JM, Pérez-Pérez MM, Erturkmen GBL, Hernández-Pére T, Méndez-Rodríguez E, Parra-Calderón CL.
From raw data to FAIR data: the FAIRification workflow for health research.
Methods Inf Med. 2020; 59(S 01):e21-e32.
doi: 10.1055/s-0040-1713684

Jauer ML, Deserno TM.
Data provenance standards and recommendations for FAIR data.
Stud Health Technol Inform. 2020; 270:1237-38.
doi: 10.3233/SHTI200380

Hsu W, Baumgartner C, Deserno TM.
Notable papers and trends from 2019 in sensors, signals, and imaging informatics.
IMIA Yearb Med Inform. 2020; 29:139-44.
doi: 10.1055/s-0040-1702004

Shirur N, Birkner C, Henze R, Deserno TM, Dudhat D.
Effect of airbag deployment phases on tactile occupant detection sensor.
XII International Science-Technical Conference AUTOMOTIVE SAFETY. 2020; 1-5.
doi: 10.1109/AUTOMOTIVESAFETY47494.2020.9435283

Hsu W, Baumgartner C, Deserno TM.
Advancing artificial intelligence in sensors, signals, and imaging informatics.
IMIA Yearb Med Inform. 2019; 28:122-26.
doi: 10.1055/s-0039-1677943

Beyerer J, Kirchner F, Albu-Schäffer A, Asfour T, Behnke S, Birk A, Burgard W, Deserno TM, Dzaack J, Egloffstein T, Gustmann M, Nüchter A, Rosen P, Speth H, Straube S, Tchouchenkov I, Zimmermann M.
Lernende Systeme in lebensfeindlichen Umgebungen: Potenziale, Herausforderungen und Gestaltungsoptionen.
Plattform Lernende Systeme. 2019; 30:1-32.

Kumar S, Jaglan D, Ganapathy N, Deserno TM.
A comparison of open source libraries ready for 3D reconstruction of wounds.
Proc SPIE. 2019; 10954:109540A.
doi: 10.1117/12.2513411

Wang J, Warnecke JM, Deserno TM.
In-vehicle respiratory rate estimation using accelerometers.
Stud Health Technol Inform. 2019; 261:97-102.

Le HP, Hackel S, Guenther A, Goldschmidt R, Daoud M, Deserno TM.
International standard accident number: a master case index linking accident & emergency with medical data.
Stud Health Technol Inform. 2019; 258:120-4.
doi: 10.3233/978-1-61499-959-1-120

Rahimbayli S, Lehmann J, Deserno TM.
Pay for performance in electronic data capture for clinical trials and medical registries.
Stud Health Technol Inform. 2019; 258:221-5.
doi: 10.3233/978-1-61499-959-1-221

Daoud M, Le HP, Deserno TM.
Registries for research and quality management in emergency care.
Stud Health Technol Inform. 2019; 258:169-73.
doi: 10.3233/978-1-61499-959-1-169

Wang J, Warnecke JM, Deserno TM.
The vehicle as a diagnostic space: efficient placement of accelerometers for respiration monitoring during driving.
Stud Health Technol Inform. 2019; 258:206-10.
doi: 10.3233/978-1-61499-959-1-206

Tuna T, Kuhlmann L, Bishti S, Sirazitdinova E, Deserno TM, Wolfart S.
Removal of simulated biofilm at different implant crown designs with interproximal oral hygiene aids: an in vitro study.
Clin Oral Implants Res. 2019; 30(7):627-36.
doi: 10.1111/clr.13448

Sirazitdinova E, Gijs M, Bertens CJF, Berendschot TTJM, Nuijts RMMA, Deserno TM.
Validation of computerized quantification of ocular redness.
Trans Vis Sci Tech. 2019; 8(6):1-13.
doi: 10.1167/tvst.8.6.31

Sirazitdinova E, Pesic I, Schwehn P, Song H, Satzger M, Sattler M, Weingärtner D, Deserno TM.
Sewer discharge estimation by stereoscopic imaging and synchronized frame processing.
Comput-Aided Civil and Infrastructure Eng. 2018; 33:602-13.
doi: 10.1111/mice.12365

Ganapathy N, Swaminathan R, Deserno TM.
Appendix to deep learning on 1-D biosignals.
IMIA Yearb Med Inform. 2018; 27:Online Supplement.

Ganapathy N, Swaminathan R, Deserno TM.
Deep learning on 1-D biosignals: a taxonomy-based survey.
IMIA Yearb Med Inform. 2018; 27:98-109.
doi: 10.1055/s-0038-1667083

Knaup P, Deserno TM, Prokosch HU, Sax U.
Implementation of a national framework to promote health data sharing: the German medical informatics initiative.
IMIA Yearb Med Inform. 2018; 27:302-4.
doi: 10.1055/s-0038-1641210

Hsu W, Deserno TM, Kahn CE Jr.
Sensor, signal, and imaging informatics in 2017.
IMIA Yearb Med Inform. 2018; 27:110-3.
doi: 10.1055/s-0038-1667084

Schramm W, Deserno TM.
Das Zertifikat Medizinische Informatik von GMDS, GI und BVMI.
Forum der Medizin_Dokumentation und Medizin_Informatik. 2018; 3:68-9.

Kamath S, Sirazitdinova E, Deserno TM.
Machine learning for mobile wound assessment.
Proc SPIE. 2018; 10579:1057917.
doi: 10.1117/12.2293704

Tatano R, Berkels B, Ehrlich EE, Deserno TM, Fritz UB.
Spatial agreement of demineralized areas in quantitative light-induced fluorescence images and digital photographs.
Dentomaxillofacial Radiol. 2018; 47:1-9.
doi: 10.1259/dmfr.20180099

Costin HN, Deserno TM.
Computational intelligence re-meets medical image processing.
Methods Inf Med. 2018; 57(5-6):270-1.
doi: 10.1055/s-0038-1675802

Keszei AP, Berkels B, Deserno TM.
Survey of non-rigid registration tools in medicine.
J Digit Imaging. 2017; 30(1):102-16.
doi: 10.1007/s10278-016-9915-8

Tatano R, Ehrlich EE, Berkels B, Sirazitdinova E, Deserno TM, Fritz UB.
Quantitative light-induced fluorescence images and digital photographs: reproducibility of manually marked demineralisations.
J Orofac Orthop. 2017; 78(2):136-43.
doi: 10.1007/s00056-016-0069-6

Sirazitdinova E, Pesic I, Schwehn P, Song H, Satzger M, Weingärtner D, Sattler M, Deserno TM.
Stereo vision for fully automatic volumetric flow measurement in urban drainage structures.
Proc SPIE. 2017; 10332:103320M.
doi: 10.1117/12.2270233

Bala S, Sirazitdinova E, Deserno TM.
Colorimetric calibration of wound photography with off-the-shelf devices.
Proc SPIE. 2017; 10136:1013617.
doi: 10.1117/12.2254721

Sirazitdinova E, Deserno TM.
System design for 3D wound imaging using low-cost mobile devices.
Proc SPIE. 2017; 10138:1013810.
doi: 10.1117/12.2254389

Deserno TM, Keszei AP.
Mobile access to virtual randomization for investigator-initiated trials.
Clin Trials. 2017; 14(4):1-10.
doi: 10.1177/1740774517706509

Tatano R, Berkels B, Deserno T M.
Mesh-to-raster region-of-interest-based nonrigid registration of multimodal images.
J Med Imaging. 2017; 4(4):1-15.
doi: 10.1117/1.JMI.4.4.044002

Kashif M, Jonas SM, Deserno TM.
Deterioration of R-wave detection in pathology and noise: a comprehensive analysis using simultaneous truth and performance level estimation.
IEEE Trans Biomed Eng. 2017; 64:2163-75.
doi: 10.1109/TBME.2016.2633277

Sirazitdinova E, Jonas SM, Lensen J, Kochanov D, Houben R, Slijp H, Deserno TM.
Towards efficient mobile image-guided navigation through removal of outliers.
EURASIP J Image Video Proc. 2016; 43:1-10.
doi: 10.1186/s13640-016-0146-1

Jonas SM, Deserno TM, Buhimschi CS, Makin J, Choma MA, Buhimschi IA.
Smartphone-based diagnostic for preeclampsia: an mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources.
J Am Med Inform Assoc. 2016; 23(1):166-73.
doi: 10.1093/JAMIA/OCV015

Berkels B, Deserno TM, Ehrlich EE, Fritz UB, Sirazitdinova E, Tatano R.
Non-rigid contour-to-pixel registration of photographic and quantitative light-induced fluorescence imaging of decalcified teeth.
Proc SPIE. 2016; 9784:97840Z.
doi: 10.1117/12.2216250

de Oliveira JEE, Giessler P, Keszei A, Herrler A, Deserno TM.
Surface mesh to voxel data registration for patient-specific anatomical modeling.
Proc SPIE. 2016; 9786:978625.
doi: 10.1117/12.2217491

Hahmann F, Böer G, Gabriel E, Deserno TM, Meyer C, Schramm H.
Classification of voting patterns to improve the generalized Hough transform for epiphyses localization.
Proc SPIE. 2016; 9785:978509.
doi: 10.1117/12.2216173

Haak D, Doma A, Gombert A, Deserno TM.
Interconnecting smartphone, image analysis server, and case report forms in clinical trials for automatic skin lesion tracking in clinical trials.
Proc SPIE. 2016; 9789:97890B.
doi: 10.1117/12.2216657

Haak D, Page CE, Deserno TM.
Electronic data capture and DICOM data management in multi-center clinical trials.
Proc SPIE. 2016; 9789:97890M.
doi: 10.1117/12.2218257

Deserno TM, Marx N.
Computational electrocardiography: revisiting Holter ECG monitoring.
Methods Inf Med. 2016; 55:305-11.
doi: 10.3414/ME15-05-0009

Jose A, Haak D, Jonas SM, Brandenburg V, Deserno TM.
Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color.
Proc SPIE. 2015; 9414:94143J.
doi: 10.1117/12.2081809

Tom M, Ramakrishnan V, van Oterendorp C, Deserno TM.
Automated detection of Schlemm's canal in spectral-domain optical coherence tomography.
Proc SPIE. 2015; 9414:941430.
doi: 10.1117/12.2082513

Kashif M, Jonas S, Haak D, Deserno TM.
Bone age assessment meets SIFT.
Proc SPIE. 2015; 9414:941439.
doi: 10.1117/12.2074572

Serrurier A, Bönsch A, Lau R, Deserno TM.
MRI visualisation by digitally reconstructed radiographs.
Proc SPIE. 2015; 9418:94180I.
doi: 10.1117/12.2081845

Haak D, Page CE, Kabino K, Deserno TM.
Evaluation of DICOM viewer software for workflow integration in clinical trials.
Proc SPIE. 2015; 9418:94180O.
doi: 10.1117/12.2082051

Haak D, Page CE, Reinartz S, Krüger T, Deserno TM.
DICOM for clinical research: PACS-integrated electronic data capture in multi-center trials.
J Digit Imaging. 2015; 28(5):558-66.
doi: 10.1007/s10278-015-9802-8

Jonas SM, Sirazitdinova E, Lensen J, Kochanov D, Mayzek H, de Heus T, Houben R, Slijp H, Deserno TM.
IMAGO: Image-guided navigation for visually impaired people.
JAISE. 2015; 1-15.
doi: 10.3233/AIS-150334

Haak D, Page CE, Deserno TM.
A survey of DICOM viewer software to integrate clinical research and medical imaging.
J Digit Imaging. 2015; 1-12.
doi: 10.1007/s10278-015-9833-1

Kashif M, Deserno TM, Haak D, Jonas SM.
Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment.
Comput Biol Med. 2015; 67-75.
doi: 10.1016/j.compbiomed.2015.11.006

Deserno TM, Sárándi I, Jose A, Haak D, Jonas S, Specht P, Brandenburg V.
Towards quantitative assessment of calciphylaxis.
Proc SPIE. 2014; 9035:90353C.
doi: 10.1117/12.2043820

Jonas S, Hanning A, Spreckelsen C, Deserno TM.
Wearable technology as a booster of clinical care.
Proc SPIE. 2014; 9039:90390F.
doi: 10.1117/12.2042986

Haak D, Gehlen J, Jonas S, Deserno TM.
OC ToGo: bed site image integration into OpenClinica with mobile devices.
Proc SPIE. 2014; 9039:903909.
doi: 10.1117/12.2042847

Pommerening K, Deserno TM, Ingenerf J, Lenz R, Schmücker P.
Der Impact der Medizinischen Informatik.
Info Spek. 2014; 37:1-25.
doi: 10.1007/s00287-014-0767-7

Dogan S, Astvatsatourov A, Deserno TM, Bock F, Shah-Hosseini K, Michels A, Mösges R.
Objectifying the conjunctival provocation test: photography-based rating and digital analysis.
Int Arch Allergy Immunol. 2014; 163(1):59-68.
doi: 10.1159/000355333

Handels H, Meinzer HP, Deserno TM, Tolxdorff T.
Medical image computing and image-based simulation: recent developments and advances in Germany.
Int J Comput Assist Radiol Surg. 2014; 9(2):341-3.
doi: 10.1007/s11548-014-1073-1

Deserno TM, Haak D, Brandenburg V, Deserno V, Classen C, Specht P.
Integrated image data and medical record management for rare disease registries: a general framework and its instantiation to the German calciphylaxis registry.
J Digit Imaging. 2014; 27(3):702-13.
doi: 10.1007/s10278-014-9698-8

Haak D, Samsel C, Gehlen J, Jonas S, Deserno TM.
Simplifying electronic data capture in clinical trials: workflow embedded image and biosignal file integration and analysis via web services.
J Digit Imaging. 2014; 27(5):571-80.
doi: 10.1007/s10278-014-9694-z

Sárándi I, Claßen DP, Astvatsatourov A, Pfaar O, Klimek L, Mösges R, Deserno TM.
Quantitative conjunctival provocation test for controlled clinical trials.
Methods Inf Med. 2014; 53(4):238-44.
doi: 10.3414/ME13-12-0142

Haak D, Yu J, Simon H, Schramm H, Seidl T, Deserno TM.
Bone age assessment using support vector regression with smart class mapping.
Proc SPIE. 2013; 8670:86700A.
doi: 10.1117/12.2008029

Bista SR, Sarandi I, Dogan S, Astvatsatourov A, Mösges R, Deserno TM.
Automatic conjunctival provocation test combining Hough circle transform and self-calibrated color measurements.
Proc SPIE. 2013; 8670:86702J.
doi: 10.1117/12.2007821

Jonas S, Zhou E, Huang B, Choma MA, Deserno TM.
Quantification of microfluidic dye mixing using front line tracking in curvature scale space.
Proc SPIE. 2013; 8672:867206.
doi: 10.1117/12.2006888

Deserno TM, Haak D, Samel C, Gehlen J, Kabino K.
Integration image management and analysis into OpenClinica using web services.
Proc SPIE. 2013; 8674:86740F.
doi: 10.1117/12.2008004

Harmsen M, Fischer B, Schramm H, Seidl T, Deserno TM.
Support vector machine classification based on correlation prototypes applied to bone age assessment.
IEEE J Biomed Health Inform. 2013; 17(1):190-7.
doi: 10.1109/TITB.2012.2228211

Deserno TM, Handels H, Meinzer HP, Tolxdorff T.
Recent advances in 3D medical image generation and analysis.
Curr Med Imaging Rev. 2013; 9(2):77-8.
doi: 10.2174/1573405611309020001

Deserno TM, Handels H, Maier-Hein KH, Mersmann S, Palm C, Tolxdorff T, Wagenknecht G, Wittenberg T.
Viewpoints on medical image processing: from science to application.
Curr Med Imaging Rev. 2013; 9(2):79-88.
doi: 10.2174/1573405611309020002

Röhrig R, Stausberg J, Dugas M, on behalf of the GMDS project group Medical Informatics Education in Medicine.
Development of national competency-based learning objectives medical informatics for undergraduate medical education.
Methods Inf Med. 2013; 52:184-8.
doi: 10.3414/ME13-04-0001

Geldermann I, Grouls C, Kuhl C, Deserno TM, Spreckelsen C.
Black-box-integration of computer-aided diagnosis into PACS deserves a second chance: results of a usability study concerning bone age assessment.
J Digit Imaging. 2013; 26(4):698-708.
doi: 10.1007/s10278-013-9590-y

Hahmann F, Berger I, Ruppertshofen H, Deserno T, Schramm H.
Bone age assessment using the classifying generalized Hough transform.
Lect Notes Computer Sci. 2013; 8142:313-22.
doi: 10.1007/978-3-642-40602-7_34

Jonas S, Zhou E, Deniz E, Huang B, Chandrasekera K, Bhattacharya D, Wu Y, Fan R, Deserno TM, Khokha MK, Choma MA.
A novel approach to quantifying ciliary physiology: microfluidic mixing driven by a ciliated biological surface.
Lab Chip. 2013; 13(21):4160-3.
doi: 10.1039/c3lc50571e

Kirstein S, Müller K, Walecki-Mingers M, Deserno TM.
Robust adaptive flow line detection in sewer pipes.
Autom Constr. 2012; 21(1):24-31.
doi: 10.1016/j.autcon.2011.05.009

Deserno TM, Soiron M, de Oliveira JEE, de Albuquerque Araújo A.
Computer-aided diagnostics of screening mammography using content-based image retrieval.
Proc SPIE. 2012; 8315:831527.
doi: 10.1117/12.912392

Ali ARA, Deserno TM.
A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data.
Proc SPIE. 2012; 8318:83181I.
doi: 10.1117/12.912389

Deserno TM, Welter P, Horsch A.
Towards a repository for standardized medical image and signal case data annotated with ground truth.
J Digit Imaging. 2012; 25(2):213-26.
doi: 10.1007/s10278-011-9428-4

Fischer B, Welter P, Günther RW, Deserno TM.
Web-based bone age assessment by content-based image retrieval for case-based reasoning.
Int J Comput Assist Radiol Surg. 2012; 7(3):389-99.
doi: 10.1007/s11548-011-0627-8

Handels H, Deserno TM, Meinzer HP, Tolxdorff T.
Image analysis and modeling in medical image computing: recent developments and advances.
Methods Inf Med. 2012; 51(5):395-7.
doi: 10.1055/s-0038-1627047

Deserno TM.
Inhaltsbasiertes Bildmanagement.
Med Eng. 2012; 7-8:34-9.

Deserno TM.
Automatische Bildanalyse in der Mammografie.
Med Eng. 2012; 9-10:60-3.

Deserno TM, Deserno V, Lowitsch V, Frank W, Willems J, Löbner H.
Aspekte des datenschutzgerechten Managements klinischer Forschungsdaten.
Proc GI. 2012; 208:1491-505.

Welter P, Fischer B, Günther RW, Deserno TM.
Generic integration of content-based image retrieval in computer-aided diagnosis.
Comput Methods Programs Biomed. 2012; 108(2):589-99.
doi: 10.1016/j.cmpb.2011.08.010

Deserno TM.
Practical imaging informatics: foundations and applications for PACS professionals.
J Digit Imaging. 2012; 25(1):11-3.
doi: 10.1007/s10278-011-9427-5

Deserno TM.
Literatur für interdisziplinäre Wissenschaft: Eine Anforderungsanalyse aus Anwendersicht.
GMS Med Bibl Inf. 2012; 12(3):Doc20.
doi: 10.3205/mbi000256

Piesch TC, Müller H, Kuhl CK, Deserno TM.
IRMA code II: Unique annotation of medical images for access and retrieval.
Quality of Life through Quality of Information. IOS Press. 2012; 159-63.
doi: 10.3233/978-1-61499-101-4-159

de Oliveira JEE, de A. Araújo A, Deserno TM.
Content-based image retrieval applied to BI-RADS tissue classification in screening mammography.
World J Radiol. 2011; 3(1):24-31.
doi: 10.4329/wjr.v3.i1.24

Deserno TM, Aach T, Amunts K, Hillen W, Kuhlen T, Scholl I.
Advances in medical image processing.
Comput Sci Res Dev. 2011; 26(1):1-3.
doi: 10.1007/S00450-010-0142-0

Scholl I, Aach T, Deserno TM, Kuhlen T.
Challenges of medical image processing: from kilo- to terabyte.
Comput Sci Res Dev. 2011; 26(1):5-13.
doi: 10.1007/s00450-010-0146-9

Spreckelsen C, Deserno TM, Spitzer K.
Visibility of medical informatics regarding bibliometric indices and databases.
BMC Med Inform Decis Mak. 2011; 11(24):1-11.
doi: DOI: 10.1186/1472-6947-11-24

Fischer B, Welter P, Grouls C, Guenther RW, Deserno TM.
Bone age assessment by content-based image retrieval and case-based reasoning.
Proc SPIE. 2011; 7963:179630P.
doi: 10.1117/12.878839

Gao X, Müller H, Deserno TM.
Integration of medical images into the digital hospital.
Open Med Inform J. 2011; 5 Suppl 1-M1:17-8.
doi: 10.2174/1874431101105010017

Depeursinge A, Fischer B, Müller H, Deserno TM.
Prototypes for content-based image retrieval in clinical practice.
Open Med Inform J. 2011; 5 Suppl 1-M7:58-72.
doi: 10.2174/1874431101105010058

Welter P, Riesmeier J, Fischer B, Grouls C, Kuhl C, Deserno TM.
Bridging the integration gap from imaging to information systems: a uniform data concept for content-based image retrieval in computer-aided diagnosis.
J Am Med Inform Assoc. 2011; 18(4):506-10.
doi: 10.1136/amiajnl-2010-000011

Deserno TM, Sorion M, de Oliveira JEE, de A Araujo A.
Towards computer-aided diagnostics of screening mammography using content-based image retrieval.
Proc IEEE SIBGRAPHI. 2011; 211-9.
doi: 10.1109/SIBGRAPI.2011.40

Welter P, Deserno TM, Fischer B, Guenther RW, Spreckelsen C.
Towards case-based medical learning in radiological decision making using content-based image retrieval.
BMC Med Inform Decis Mak. 2011; 11(68):1-16.
doi: 10.1186/1472-6947-11-68

de Oliveira JEE, Machado AMC, Chavez GC, Lopes APB, Deserno TM, de A Araujo A.
MammoSys: a content-based image retrieval system using breast density patterns.
Comput Methods Programs Biomed. 2010; 99(3):289-97.
doi: 10.1016/j.cmpb.2010.01.005

Grottke O, Ullrich S, Fried E, Deserno TM, Kuhlen T, Rossaint R.
Regional anaesthesia in virtual enviroments.
J Clin Monit Comput. 2010; 24(1):13-4.
doi: 10.1007/s10877-009-9211-y

Ithapu VK, Fritsche A, Oppelt A, Westhofen M, Deserno TM.
Fundus image registration for vestibularis research.
Proc SPIE. 2010; 7624:76243E.
doi: 10.1117/12.844475

Sikka K, Deserno TM.
Comparison of algorithms for ultrasound image segmentation without ground truth.
Proc SPIE. 2010; 7627:76271C.
doi: 10.1117/12.844504

Welter P, Deserno TM, Gülpers R, Wein BB, Grouls C, Günther RW.
Exemplary design of a DICOM Structured Report template for CBIR integration into radiological routine.
Proc SPIE. 2010; 7628:76280B.
doi: 10.1117/12.844170

Welter P, Hocken C, Deserno TM, Grouls C, Günther RW.
Workflow management of content-based image retrieval for CAD support in PACS environments based on IHE.
Int J Comput Assist Radiol Surg. 2010; 5(4):393-400.
doi: 10.1007/s11548-010-0416-9

Spreckelsen C, Deserno TM, Spitzer K.
The publication echo: effects of retrieving literature in PubMed by year of publication.
Int J Med Inform. 2010; 79(4):297-303.
doi: 10.1016/j.ijmedinf.2010.01.007

Handels H, Meinzer HP, Deserno TM, Tolxdorff T.
Special issue: BVM 2009 advances and recent developments in medical image computing.
Int J Comput Assist Radiol Surg. 2010; 5(6):555-6.
doi: 10.1007/s11548-010-0540-6

Tommasi T, Caputo B, Welter P, Guld M, Deserno TM.
Overview of the CLEF 2009 medical image annotation track.
Lect Notes Computer Sci. 2010; 6242:85-93.
doi: 10.1007/978-3-642-15751-6_9

Deserno TM, Muller K, Reiss M, Pentang G, Hofmann D, Niessen J.
Visualization and analysis of medical ultrasound processing applied to ground penetrating radar.
Water Asset Manage Int. 2010; 6(3):14-20.

Welter P, Topal F, Jansen S, Deserno TM, Riesmeier J, Grouls C, Günther RW.
Combined DICOM and HL7 viewer in support of a bridge from content-based image retrieval to computer-aided diagnosis.
Adv Intell Soft Comput. 2010; 69:145-52.
doi: 10.1007/978-3-642-13105-9_15

Deserno TM, Liao W, Metzger MC, Kleiner ME, Schulze D.
Ein routineintegrierbares Planungswerkzeug zur operativen Rekonstruktion der Orbita.
GMS Med Inform Biom Epidemiol. 2009; 5(3):17.
doi: 10.1007/978-3-540-78640-5_45

Wittenberg T, Deserno TM.
Medizinische Bild- und Signalverarbeitung.
GMS Med Inform Biom Epidemiol. 2009; 5(3):21.
doi: 10.3205/mibe000100

Long LR, Antani S, Deserno TM, Thoma GR.
Content-Based image retrieval in medicine: retrospective assessment, state of the art, and future directions.
Int J Healthc Inform Syst Informat. 2009; 4(1):1-16.
doi: 10.4018/jhisi.2009010101

Deserno TM, Long LR, Greenspan H.
Content-based image retrieval: major challenges for biomedical applications.
Int J Healthc Inform Syst Informat. 2009; 4(1):i-iii.

Névéol A, Deserno TM, Darmoni SJ, Güld MO, Aronson AR.
Natural language processing versus content-based image analysis for medical document retrieval.
J Am Soc Inf Sci Technol. 2009; 60(1):123-34.
doi: 10.1002/asi.20955

Deserno TM, Antani S, Long R.
Ontology of gaps in content-based image retrieval.
J Digit Imaging. 2009; 22(2):202-15.
doi: 10.1007/s10278-007-9092-x

Fischer B, Brosig A, Deserno TM, Ott B, Günther RW.
Structural scene analysis and content-based image retrieval applied to bone age assessment.
Proc SPIE. 2009; 7260:726004.
doi: 10.1117/12.811632

Elter M, Wittenberg T, Schulz-Wendtland R, Deserno TM.
A multi-image approach to CADx of breast cancer with integration into PACS.
Proc SPIE. 2009; 7264:72640X.
doi: 10.1117/12.810983

Welter P, Deserno TM, Fischer B, Wein BB, Ott B, Günther RW.
Integration of CBIR in radiological routine in accordance with IHE.
Proc SPIE. 2009; 7264:726404.
doi: 10.1117/12.812100

Deserno TM, Burtseva L, Secrieru I, Popcova O.
CASAD: Computer-aided sonography of abdominal diseases: The concept of joint technique impact.
Comput Sci J Moldova. 2009; 17(3):278-97.

Tolxdorff T, Deserno TM, Handels H, Meinzer HP.
Advances in medical image computing.
Methods Inf Med. 2009; 48(4):311-3.
doi: 10.1055/s-0038-1627070

Deserno TM, Antani S, Long RL.
Content-based image retrieval for scientific literature access.
Methods Inf Med. 2009; 48(4):371-80.
doi: 10.3414/ME0561

Deselaers T, Deserno TM.
Medical image annotation in ImageCLEF 2008.
Lect Notes Computer Sci. 2009; 5706:523-30.
doi: 10.1007/978-3-642-04447-2_64

Deserno TM, Rangarajan JR, Hoffmann J, Brägger U, Mericske-Stern R, Enkling N.
A posteriori registration and subtraction of panoramic compared with intraoral radiography.
Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2009; 108(2):39-45.
doi: 10.1016/j.tripleo.2009.03.036

Grottke O, Ntouba A, Ullrich S, Liao W, Fried E, Prescher A, Deserno TM, Kuhlen T, Rossaint R.
Virtual reality-based simulator for training in regional anaesthesia.
Br J Anaesth. 2009; 103(4):594-600.
doi: 10.1093/bja/aep224

Ullrich S, Grottke O, Fried E, Frommen T, Liao W, Rossaint R, Kuhlen T, Deserno TM.
An intersubject variable regional anesthesia simulator with a virtual patient architecture.
Int J Comput Assist Radiol Surg. 2009; 4(6):561-70.
doi: 10.1007/s11548-009-0371-5

Güld MO, Welter P, Deserno TM.
Baseline results for the ImageCLEF 2008 medical automatic annotation task in comparison over the years.
Lect Notes Computer Sci. 2009; 5706:752-5.
doi: 10.1007/978-3-642-04447-2_97

Fischer B, Sauren M, Güld MO, Deserno TM.
Scene analysis with structural prototypes for content-based image retrieval in medicine.
Proc SPIE. 2008; 6914:69141X.
doi: 10.1117/12.770541

de Oliveira JEE, Güld MO, de A. Araújo A, Ott B, Deserno TM.
Towards a standard reference database for computer-aided mammography.
Proc SPIE. 2008; 6915:69151Y.
doi: 10.1117/12.770325

Ullrich S, Frommen T, Eckert J, Schütz A, Liao W, Deserno TM, Ntouba A, Rossaint R, Prescher A, Kuhlen T.
Interactive modeling and simulation of peripheral nerve cords in virtual environments.
Proc SPIE. 2008; 6918:69182J.
doi: 10.1117/12.770354

Teich C, Liao W, Ullrich S, Kuhlen T, Ntouba A, Rossaint R, Ullisch M, Deserno TM.
MITK-based segmentation of co-registered MRI for subject-related regional anaesthesia simulation.
Proc SPIE. 2008; 6918:69182M.
doi: 10.1117/12.771106

Liao W, Deserno TM, Spitzer K.
Evaluation of free non-diagnostic DICOM software tools.
Proc SPIE. 2008; 6919:691903.
doi: 10.1117/12.770431

Fischer B, Deserno TM, Ott B, Günther RW.
Integration of a research CBIR system with RIS and PACS for radiological routine.
Proc SPIE. 2008; 6919:691914.
doi: 10.1117/12.770386

Horsch A, Deserno TM, Handels H, Meinzer HP, Tolxdorff T.
IJCARS special issue: BVM 2007 German conference on medical image processing.
Int J Comput Assist Radiol Surg. 2008; 2(2):253-4.
doi: 10.1007/s11548-008-0147-3

Gueld MO, Thies C, Fischer B, Deserno TM.
A framework and baseline results for the CLEF medical automatic annotation task.
Pattern Recognit Lett. 2008; 29(15):2025-31.
doi: 10.1016/j.patrec.2008.05.020

Deselaers T, Deserno TM, Müller H.
Automatic medical image annotation in ImageCLEF 2007: overview, results, and discussion.
Pattern Recognit Lett. 2008; 29(15):1988-95.
doi: 10.1016/j.patrec.2008.03.001

Deserno TM, Güld MO, Plodowski B, Spitzer K, Wein BB, Schubert H, Ney H, Seidl T.
Extended query refinement for medical image retrieval.
J Digit Imaging. 2008; 21(3):280-9.
doi: 10.1007/s10278-007-9037-4

Güld MO, Deserno TM.
Baseline results for the ImageCLEF 2007 medical automatic annotation task using global image features.
Lect Notes Computer Sci. 2008; 5152:637-40.
doi: 10.1007/978-3-540-85760-0_81

Müller H, Deselaers T, Kim E, Kalpathy-Cramer J, Deserno TM, Clough P, Hersh W.
Overview of the ImageCLEFmed 2007 medical retrieval and annotation tasks.
Lect Notes Computer Sci. 2008; 5152:473-91.
doi: 10.1007/978-3-540-85760-0_59

Deselaers T, Deserno TM, Müller H.
Editorial to the special issue on medical image annotation in ImageCLEF 2007.
Pattern Recognit Lett. 2008; 29(15):1987.
doi: 10.1016/j.patrec.2008.09.003

Güld MO, Thies C, Fischer B, Lehmann TM.
A generic concept for the implementation of medical image retrieval systems.
Int J Med Inform. 2007; 76(2-3):252-9.
doi: 10.1016/j.ijmedinf.2006.02.011

Deserno TM, Antani S, Long LR.
Gaps in content-based image retrieval.
Proc SPIE. 2007; 6516:65160J.
doi: 10.1117/12.709912

Deserno TM, Antani S, Long LR.
Exploring access to scientific literature using content-based image retrieval.
Proc SPIE. 2007; 6516:65160L.
doi: 10.1117/12.710072

Lehmann TM, Molander B, Güld MO, Thies C, Gröndahl HG.
Content-based access to oral and maxillofacial radiographs.
Dentomaxillofac Radiol. 2007; 36(6):328-35.
doi: 10.1259/dmfr/11645252

Deselaers T, Müller H, Clough P, Ney H, Lehmann TM.
The CLEF 2005 automatic medical image annotation task.
Int J Computer Vis. 2007; 74(1):51-8.
doi: 10.1007/s11263-006-0007-y

Güld MO, Thies C, Fischer B, Deserno TM.
Baseline results for the ImageCLEF 2006 medical automatic annotation task.
LNCS. 2007; 4730:686-9.
doi: 10.1007/978-3-540-74999-8_84

Müller H, Deselaers T, Deserno TM, Clough P, Kim E, Hersh W.
Overview of the ImageCLEFmed 2006 medical retrieval and annotation tasks.
LNCS. 2007; 4730:595-608.
doi: 10.1007/978-3-540-74999-8_72

Enkling N, Klimberg T, Boslau V, Mericske-Stern R, Jepsen S, Schilli W, Deserno TM, Jöhren P.
Platformswitching - Methodik zum Erhalt des periimplantären crestalen Knochens: Mythos oder Realität: Ein Vorabbericht zu einer klinisch prospektiven, randomisierten Splitmouthstudie an 26 Probanden.
ZWR - Das Deutsche Zahnärzteblatt. 2007; 116(11):527-37.
doi: 10.1055/s-2007-1004812

Müller H, Deselaers T, Lehmann TM, Geissbühler A.
Management und Verarbeitung multimedialer Daten.
Telemedizinführer Deutschland. 2007; 228-35.

Antani S, Lehmann TM, Long LR, Thoma G.
Geographically distributed complementary content-based image retrieval systems for biomedical image informatics.
Proc MedInfo. 2007; 493-7.
doi: 10.3233/978-1-58603-774-1-493.

Lehmann TM, Spitzer K.
Medical informatics: challenges of applied information technology in medicine.
It Inf Technol. 2006; 48(1):3-5.
doi: 10.1524/itit.2006.48.1.3

Lehmann TM, Aach T, Witte H.
Sensor, signal and image informatics: state of the art and current topics.
Methods Inf Med. 2006; 47(Suppl 1):57-67.
doi: 10.1055/s-0038-1638479

Müller H, Clough P, Hersh W, Deselaers T, Lehmann TM, Geissbuhler A.
Using heterogeneous annotation and visual information for the benchmarking of image retrieval systems.
Proc SPIE. 2006; 6061:606105.
doi: 10.1117/12.660259

Thies C, Schmidt-Borreda M, Seidl T, Lehmann TM.
A classification framework for content-based extraction of biomedical objects from hierarchically decomposed images.
Proc SPIE. 2006; 6144:61441N.
doi: 10.1117/12.653503

Lehmann TM, Abel J, Weiß C.
The impact of lossless image compression to radiographs.
Proc SPIE. 2006; 6145:614516.
doi: 10.1117/12.651697

Horsch A, Lehmann TM.
Standardization, interoperability and technology transfer in medical image processing.
Healthc IT Manage. 2006; 1(1):24-7.

Clark J, Müller H, Gao X, Lin Q, Lehmann TM, Thom S, Inchingolo P, Chen JC.
Medical imaging and telemedicine – from medical data production, to processing, storing, and sharing: a brief perspective.
Comput Med Imaging Graph. 2006; 30(6-7):329-31.
doi: 10.1016/j.compmedimag.2006.10.001

Lehmann TM.
Information logistics: editorial preface.
Int J Health Care Inf Sys Inform. 2006; 1(2):5-7.

Güld MO, Thies C, Fischer B, Lehmann TM.
Content-based retrieval of medical images by combining global features.
Lect Notes Computer Sci. 2006; 4022:702-11.
doi: 10.1007/11878773_77

Clough P, Müller H, Deselaers T, Grubinger M, Lehmann TM, Jensen J, Hersh W.
The CLEF 2005 cross language image retrieval track.
Lect Notes Computer Sci. 2006; 4022:535-58.
doi: 10.1007/11878773_60

Müller K, Fischer B, Lehmann TM, Hunger W, Schäfer T.
Entwicklung von Bilderkennungsverfahren zur Qualitätssicherung bei der Zustandserfassung von Kanalisationen: Ergebnisse der ersten Projektphase.
bi UmweltBau. 2006; 5(6):64-71.

Lehmann TM, Aach T, Witte H.
Sensor, signal and image informatics: state of the art and current topics.
Schattauer Verlag, Stuttgart. 2006; 15(1):57-67.
doi: 10.1055/s-0038-1638479

Lehmann TM, Güld MO, Deselaers T, Keysers D, Schubert H, Spitzer K, Ney H, Wein BB.
Automatic categorization of medical images for content-based retrieval and data mining.
Comput Med Imaging Graph. 2005; 29(2):143-55.
doi: 10.1016/j.compmedimag.2004.09.010

Thies C, Ostwald T, Fischer B, Lehmann TM.
Object-based modeling, identification and labeling of medical images for content-based retrieval by querying on intervals of attribute values.
Proc SPIE. 2005; 5748:382-91.
doi: 10.1117/12.596001

Thies C, Güld MO, Fischer B, Lehmann TM.
Content-based queries on the CasImage database within the IRMA framework: A field report.
Lect Notes Computer Sci. 2005; 3491(59):781-92.
doi: 10.1007/11519645_76

Hensler M, Lehmann TM, Ott B.
Ein internetbasierter Service zur automatischen Registrierung und Subtraktion von Radiographien.
Quintessenz. 2005; 56(6):627-39.

Lehmann TM, Bredno J.
Strategies to configure image analysis algorithms for clinical usage.
J Am Med Inform Assoc. 2005; 12(5):497-504.
doi: 10.1197/jamia.M1652

Fischer B, Thies C, Güld MO, Lehmann TM.
Content-based retrieval of medical images by matching hierarchical attributed region adjacency graphs.
Proc SPIE. 2004; 5370:598-606.
doi: 10.1117/12.536294

Thies C, Metzler V, Lehmann TM, Aach T.
Extraction of biomedical objects by sub-graph matching in attributed hierarchical region adjacency graphs.
Proc SPIE. 2004; 5370:1498-508.
doi: 10.1117/12.536019

Lehmann TM, Plodowski B, Spitzer K, Wein BB, Ney H, Seidl T.
Extended query refinement for content-based access to large medical image databases.
Proc SPIE. 2004; 5371:90-8.
doi: 10.1117/12.534964

Lehmann TM, Güld MO, Keysers D, Deselaers T, Schubert H, Wein BB, Spitzer K.
Similarity of medical images computed from global feature vectors for content-based retrieval.
Lect Notes Artif Intell. 2004; 3214:989-95.
doi: 10.1007/978-3-540-30133-2_131

Güld MO, Keysers D, Deselaers T, Leisten M, Schubert H, Ney H, Lehmann TM.
Comparison of global features for categorization of medical images.
Proc SPIE. 2004; 5371:211-22.
doi: 10.1117/12.535914

Lehmann TM, Meinzer HP, Tolxdorff T.
Advances in biomedical image analysis: past, present and future challenges.
Methods Inf Med. 2004; 43(4):308-14.
doi: 10.1055/s-0038-1633873

Linnenbrügger NI, Webber RL, Kobbelt LP, Lehmann TM.
Automated hybrid TACT(R) volume reconstructions.
Methods Inf Med. 2004; 43(4):315-9.
doi: 10.1055/s-0038-1633874

Lehmann TM, Güld MO, Thies C, Fischer B, Spitzer K, Keysers D, Ney H, Kohnen M, Schubert H, Wein BB.
Content-based image retrieval in medical applications.
Methods Inf Med. 2004; 43(4):354-61.
doi: 10.1055/s-0038-1633878

Lehmann TM.
Digitale Wasserzeichen - Bilder sicher übertragen: Techniken des "Watermarking" und die digitale Signatur werden für den Bilddatentransfer in der Medizin wichtig.
Dtsch Arztebl. 2004; 51-52:1-7.

Lehmann TM, Güld MO, Thies C, Plodowski B, Keysers D, Ott B, Schubert H.
IRMA - Content-based image retrieval in medical applications.
Proc MedInfo. 2004; 842-8.
doi: 10.3233/978-1-60750-949-3-842

Lehmann TM, Güld MO, Keysers D, Schubert H, Wenning A, Wein BB.
Automatic detection of the view position of chest radiographs.
Proc SPIE. 2003; 5032:1275-82.
doi: 10.1117/12.481404

Thies C, Malik A, Keysers D, Kohnen M, Fischer B, Lehmann TM.
Hierarchical feature clustering for content-based retrieval in medical image databases.
Proc SPIE. 2003; 5032:598-608.
doi: 10.1117/12.481393

Lehmann TM, Güld MO, Thies C, Fischer B, Keysers D, Kohnen M, Schubert H, Wein BB.
Content-based image retrieval in medical applications for picture archiving and communication systems.
Proc SPIE. 2003; 5033:109-17.

Lehmann TM, Schubert H, Keysers D, Kohnen M, Wein BB.
The IRMA code for unique classification of medical images.
Proc SPIE. 2003; 5033:440-51.
doi: 10.1117/12.480677

Güld MO, Thies C, Fischer B, Keysers D, Wein BB, Lehmann TM.
A platform for distributed image processing and image retrieval.
Proc SPIE. 2003; 5150:1109-20.
doi: 10.1117/12.503158

Keysers D, Dahmen J, Ney H, Wein B, Lehmann TM.
Statistical framework for model-based image retrieval in medical applications.
J Electron Imaging. 2003; 12(1):59-68.
doi: 10.1117/1.1525790

Lehmann TM, Bredno J, Spitzer K.
On the design of active contours for medical image segmentation: a scheme for classification and construction.
Methods Inf Med. 2003; 42(1):89-98.
doi: 10.1055/s-0038-1634213

Schmitt W, Lehmann TM.
Digitales Röntgen.
Quintessenz. 2003; 54(5):503-13.

Lehmann TM, Güld MO, Keysers D, Schubert H, Kohnen M, Wein BB.
Determining the view of chest radiographs.
J Digit Imaging. 2003; 16(3):280-91.
doi: 10.1007/s10278-003-1655-x

Bredno J, Lehmann TM, Spitzer K.
A general discrete contour modell in two, three, and four dimensions for topology-adaptive multichannel segmentation.
IEEE Trans Pattern Anal Mach Intell. 2003; 25(5):550-63.
doi: 10.1109/tpami.2003.1195990

Ilgner JFR, Palm C, Schütz AG, Spitzer K, Westhofen M, Lehmann TM.
Colour texture analysis for quantitative laryngoscopy.
Acta Otolaryngol. 2003; 123(6):730-4.
doi: 10.1080/00016480310000412

Lehmann TM, Goudarzi S, Linnenbrügger N, Keysers D, Wein B.
Automatic localization and delineation of collimation fields in digital and film-based radiographs.
Proc SPIE. 2002; 4684:1215-23.
doi: 10.1117/12.467080

Lehmann TM.
From plastic to gold: A unified classification scheme for reference standards in medical image processing.
Proc SPIE. 2002; 4684(3):1819-27.
doi: 10.1117/12.467156

Güld MO, Kohnen M, Keysers D, Schubert H, Wein B, Bredno J, Lehmann TM.
Quality of DICOM header information for image categorization.
Proc SPIE. 2002; 4685:280-7.
doi: 10.1117/12.467017

Lehmann TM, Hemler PF, Webber RL.
Virtual radiographs computed from TACT volume data as a gold standard for image registration prior to subtraction.
Dentomaxillofac Radiol. 2002; 31(3):187-92.
doi: 10.1038/sj/dmfr/4600682

Linnenbrügger NI, Webber RL, Lehmann TM.
Implementation of a generalized TACT(R) algorithm for arbitrary source-object distances.
Dentomaxillofac Radiol. 2002; 31(4):249-56.
doi: 10.1038/sj.dmfr.4600703

Lehmann TM, Troeltsch E, Spitzer K.
Image processing and enhancement provided by commercial dental software programs.
Dentomaxillofac Radiol. 2002; 31(4):264-72.
doi: 10.1038/sj.dmfr.4600707

Lehmann TM.
Bildverbesserung und -analyse in kommerzieller Software zur digitalen intraoralen Radiographie.
Quintessenz. 2002; 53(10):1099-111.

Palm C, Lehmann TM.
Classification of color textures by Gabor filtering.
Mach Graph Vis. 2002; 11(2-3):195-219.
doi: 10.5555/762282.762288

Lehmann TM, Bredno J, Metzler V, Brook G, Nacimiento W.
Computer-assisted quantification of axo-somatic boutons at the cell membrane of motoneurons.
IEEE Trans Biomed Eng. 2001; 48(6):706-17.
doi: 10.1109/10.923788

Metzler V, Thies C, Lehmann TM.
Segmentation of medical images by feature tracing in a self-dual morphological scale-space.
Proc SPIE. 2001; 4322(1):139-50.

Lehmann TM, Bredno J, Spitzer K.
Silver standards obtained from Fourier-based texture synthesis to evaluate segmentation procedures.
Proc SPIE. 2001; 4322(1):214-25.
doi: 10.1117/12.431091

Lehmann TM, Gönner C, Spitzer K.
Addendum: B-spline interpolation in medical image processing.
IEEE Trans Med Imaging. 2001; 20(7):660-5.
doi: 10.1109/42.932749

Lehmann TM, Bredno J, Spitzer K.
Texture-adaptive active contour models.
Lect Notes Computer Sci. 2001; 2013:387-96.
doi: 10.1007/3-540-44732-6_40

Lehmann TM, Palm C.
Color line search for illuminant estimation in real world scenes.
J Opt Soc Am. 2001; 18(11):2679-91.
doi: 10.1364/JOSAA.18.002679

Metzler V, Bienert H, Lehmann TM, Mottaghy K, Spitzer K.
Scale-independent shape analysis for quantitative cytology using mathematical morphology.
Comput Biol Med. 2000; 30(3):135-51.
doi: 10.1016/S0010-4825(00)00003-2

Lehmann TM, Gröndahl HG, Benn D.
Review: computer-based registration for digital subtraction in dental radiology.
Dentomaxillofac Radiol. 2000; 29(6):323-46.
doi: 10.1038/sj.dmfr.4600558

Metzler V, Lehmann TM, Aach T.
Morphological multi-scale shape analysis of light micrographs.
Proc SPIE. 2000; 3961:227-38.
doi: 10.1117/12.379396

Lehmann TM, Wein B, Dahmen J, Bredno J, Vogelsang F, Kohnen M.
Content-based image retrieval in medical applications: a novel multi-step approach.
Proc SPIE. 2000; 3972:312-20.
doi: 10.1055/s-0038-1633878

Bredno J, Kohnen M, Dahmen J, Vogelsang F, Wein B, Lehmann TM.
Synergetic impact obtained by a distributed developing platform for image retrieval in medical applications (IRMA).
Proc SPIE. 2000; 3972:321-31.
doi: 10.1117/12.383049

Bredno J, Lehmann TM, Spitzer K.
A general finite element model for segmentation in 2, 3, and 4 dimensions.
Proc SPIE. 2000; 3979(2):1174-84.
doi: 10.1117/12.387623 [1]

Bredno J, Lehmann TM, Spitzer K.
Automatic parameter setting for balloon models.
Proc SPIE. 2000; 3979(2):1185-94.
doi: 10.1117/12.387624

Egmont-Petersen M, Schreiner U, Tromp SC, Lehmann TM, Slaaf DW, Arts T.
Detection of leukocytes in contact with the vessel wall from in-vivo microscope recordings using a neural network.
IEEE Trans Biomed Eng. 2000; 47(7):941-51.
doi: 10.1109/10.846688

Rickert D, Jecker P, Metzler V, Lehmann TM, Ernst E, Westhofen M.
Color-coded duplex sonography of the cervical lymph nodes: improved differential diagnostic assessment after administration of the signal enhancer SH U 508A (Leovist®).
Eur Arch Otorhinolaryngol. 2000; 257:435-58.
doi: 10.1007/s004059900210

Metzler V, Bienert H, Lehmann TM, Mottaghy K, Spitzer K.
A novel method for quantifying shape deformation applied to biocompatibility testing.
ASAIO J. 1999; 45(4):264-71.
doi: 10.1097/00002480-199907000-00004

Lehmann TM, Gönner C, Spitzer K.
Survey: Interpolation methods in medical image processing.
IEEE Trans Med Imaging. 1999; 18(11):1049-75.
doi: 10.1109/42.816071

Metzler V, Bredno J, Lehmann TM, Spitzer K.
A deformable membrane for the segmentation of cytological samples.
Proc SPIE. 1998; 3338:1246-57.
doi: 10.1117/12.3338.1246

Lehmann TM, Gröndahl K, Gröndahl HG, Schmitt W, Spitzer K.
Observer-independent registration of perspective projection prior to subtraction of in-vivo radiographs.
Dentomaxillofac Radiol. 1998; 27(3):140-50.
doi: 10.1038/sj.dmfr.4600335

Lehmann TM, Kaser A, Repges R.
A simple parametric equation for pseudocoloring grey scale images keeping their original brightness progression.
Image Vis Comput. 1997; 15(3):251-7.
doi: 10.1016/S0262-8856(96)01120-1

Lehmann TM, Sovakar A, Schmitt W, Repges R.
A comparison of similarity measures for digital subtraction radiography.
Comput Biol Med. 1997; 27(2):151-67.
doi: 10.1016/S0010-4825(97)83769-9

Lehmann TM, Goerke C, Schmitt W, Kaupp A, Repges R.
A rotation-extended cepstrum technique optimized by systematic analysis of various sets of x-ray images.
Proc SPIE. 1996; 2710:390-401.
doi: 10.1117/12.237941

Peters B, Meyer-Ebrecht D, Lehmann TM, Schmitt W.
System analysis of x-ray-sensitive CCD's and adaptive restoration of intraoral radiographs.
Proc SPIE. 1996; 2710:450-61.
doi: 10.1117/12.237947

Lehmann TM, Schmitt W, Horn H, Hillen W.
IDEFIX: identification of dental fixtures in intraoral x-rays.
Proc SPIE. 1996; 2710:584-95.
doi: 10.1117/12.237961

Lehmann TM, Goerke C, Kaupp A, Schmitt W, Repges R.
A rotation-extended cepstrum technique and its application to medical images.
Pattern Recognit Image Anal. 1996; 6(3):592-604.
doi: 10.1117/12.237941