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Prof. Prof. Dr. Dr. Jens Kleesiek

Funktionen

  • Direktor, Medizin

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Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.

    Artikel in Zeitschriften

  • van Baal, Lukas; Heinemann, Lutz; Reinold, Johanna; von Conta, Jill; Bahnsen, Fin Hendrik; Kleesiek, Jens; Führer, Dagmar; Tan, Susanne
    Accuracy and Reliability of Intermittent Scanning and Real-Time Continuous Glucose Monitoring Systems in Diabetes Emergencies
    In: Journal of Diabetes Science and Technology (JDST) 2025 , in press
    DOI (Open Access)
  • Siepmann, Robert M.; Baldini, Giulia; Schmidt, Cynthia S.; Truhn, Daniel; Müller-Franzes, Gustav Anton; Dada, Amin; Kleesiek, Jens; Nensa, Felix; Hosch, René
    An automated information extraction model for unstructured discharge letters using large language models and GPT-4
    In: Healthcare Analytics , Jg. 7 2025, 100378
    DOI (Open Access)
  • Salhöfer, Luca; Bonella, Francesco; Meetschen, Mathias; Umutlu, Lale; Forsting, Michael; Schaarschmidt, Benedikt; Opitz, Marcel; Kleesiek, Jens; Hosch, Rene; Koitka, Sven; Parmar, Vicky; Nensa, Felix; Haubold, Johannes
    Automated 3D-Body Composition Analysis as a Predictor of Survival in Patients with Idiopathic Pulmonary Fibrosis
    In: Journal of Thoracic Imaging , Jg. 40 2025, Nr. 2, e0803
    DOI (Open Access)
  • Pinnekamp, Hannah; Rentschler, Vanessa; Majjouti, Khalid; Brehmer, Alexander; Tapp-Herrenbrück, Michaela; Aleithe, Michael; Kleesiek, Jens; Hosters, Bernadette; Fischer, Uli
    Controlled Pilot Intervention Study on the Effects of an AI-Based Application to Support Incontinence-Associated Dermatitis and Pressure Injury Assessment, Nursing Care and Documentation: Study Protocol
    In: Research in Nursing & Health 2025 , in press
    DOI (Open Access)
  • Rempe, Moritz; Heine, Lukas; Seibold, Constantin; Hörst, Fabian; Kleesiek, Jens
    De-identification of medical imaging data : A comprehensive tool for ensuring patient privacy
    In: European Radiology 2025 , in press
    DOI (Open Access)
  • Keyl, Julius; Keyl, Philipp; Montavon, Grégoire; Hosch, René; Brehmer, Alexander; Mochmann, Liliana; Jurmeister, Philipp; Dernbach, Gabriel; Kim, Moon; Koitka, Sven; Bauer, Sebastian; Bechrakis, Nikolaos; Forsting, Michael; Führer-Sakel, Dagmar; Glas, Martin; Grünwald, Viktor; Hadaschik, Boris; Haubold, Johannes; Herrmann, Ken; Kasper, Stefan; Kimmig, Rainer; Lang, Stephan; Rassaf, Tienush; Roesch, Alexander; Schadendorf, Dirk; Siveke, Jens T.; Stuschke, Martin; Sure, Ulrich; Totzeck, Matthias; Welt, Anja; Wiesweg, Marcel; Baba, Hideo A.; Nensa, Felix; Egger, Jan; Müller, Klaus-Robert; Schuler, Martin; Klauschen, Frederick; Kleesiek, Jens
    Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
    In: Nature Cancer , Jg. 6 2025, Nr. 2, S. 307 – 322
    DOI (Open Access)
  • Dorfner, Felix J.; Dada, Amin; Busch, Felix; Makowski, Marcus R.; Han, Tianyu; Truhn, Daniel; Kleesiek, Jens; Sushil, Madhumita; Adams, Lisa C.; Bressem, Keno K.
    Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks
    In: Journal of the American Medical Informatics Association (JAMIA) , Jg. 32 2025, Nr. 6, S. 1015 – 1024
    DOI
  • Brehmer, Alexander; Seibold, Constantin; Egger, Jan; Majjouti, Khalid; Tapp-Herrenbrück, Michaela; Pinnekamp, Hannah; Priester, Vanessa; Aleithe, Michael; Fischer, Uli; Hosters, Bernadette; Kleesiek, Jens
    Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning : Algorithm Development and Validation Study
    In: JMIR AI , Jg. 4 2025, e67356
    DOI (Open Access)
  • Puladi, B.; Gsaxner, C.; Kleesiek, Jens; Hölzle, F.; Röhrig, R.; Egger, Jan
    In Reply
    In: International Journal of Oral and Maxillofacial Surgery , Jg. 54 2025, Nr. 1, S. 94 – 95
    DOI
  • Li, Jianning; Zhou, Zongwei; Yang, Jiancheng; Pepe, Antonio; Gsaxner, Christina; Luijten, Gijs; Qu, Chongyu; Zhang, Tiezheng; Chen, Xiaoxi; Li, Wenxuan; Wodzinski, Marek; Friedrich, Paul; Xie, Kangxian; Jin, Yuan; Ambigapathy, Narmada; Nasca, Enrico; Solak, Naida; Melito, Gian Marco; Vu, Viet Duc; Memon, Afaque R.; Schlachta, Christopher; De Ribaupierre, Sandrine; Patel, Rajnikant; Eagleson, Roy; Chen, Xiaojun; Mächler, Heinrich; Kirschke, Jan Stefan; De La Rosa, Ezequiel; Christ, Patrick Ferdinand; Li, Hongwei Bran; Ellis, David G.; Aizenberg, Michele R.; Gatidis, Sergios; Küstner, Thomas; Shusharina, Nadya; Heller, Nicholas; Andrearczyk, Vincent; Depeursinge, Adrien; Hatt, Mathieu; Sekuboyina, Anjany; Löffler, Maximilian T.; Liebl, Hans; Dorent, Reuben; Vercauteren, Tom; Shapey, Jonathan; Kujawa, Aaron; Cornelissen, Stefan; Langenhuizen, Patrick; Ben-Hamadou, Achraf; Rekik, Ahmed; Pujades, Sergi; Boyer, Edmond; Bolelli, Federico; Grana, Costantino; Lumetti, Luca; Salehi, Hamidreza; Ma, Jun; Zhang, Yao; Gharleghi, Ramtin; Beier, Susann; Sowmya, Arcot; Garza-Villarreal, Eduardo A.; Balducci, Thania; Angeles-Valdez, Diego; Souza, Roberto; Rittner, Leticia; Frayne, Richard; Ji, Yuanfeng; Ferrari, Vincenzo; Chatterjee, Soumick; Dubost, Florian; Schreiber, Stefanie; Mattern, Hendrik; Speck, Oliver; Haehn, Daniel; John, Christoph; Nürnberger, Andreas; Pedrosa, João; Ferreira, Carlos; Aresta, Guilherme; Cunha, António; Campilho, Aurélio; Suter, Yannick; Garcia, Jose; Lalande, Alain; Vandenbossche, Vicky; Van Oevelen, Aline; Duquesne, Kate; Mekhzoum, Hamza; Vandemeulebroucke, Jef; Audenaert, Emmanuel; Krebs, Claudia; Van Leeuwen, Timo; Vereecke, Evie; Heidemeyer, Hauke; Röhrig, Rainer; Hölzle, Frank; Badeli, Vahid; Krieger, Kathrin; Gunzer, Matthias; Chen, Jianxu; Van Meegdenburg, Timo; Dada, Amin; Balzer, Miriam; Fragemann, Jana; Jonske, Frederic; Rempe, Moritz; Malorodov, Stanislav; Bahnsen, Fin H.; Seibold, Constantin; Jaus, Alexander; Marinov, Zdravko; Jaeger, Paul F.; Stiefelhagen, Rainer; Santos, Ana Sofia; Lindo, Mariana; Ferreira, André; Alves, Victor; Kamp, Michael; Abourayya, Amr; Nensa, Felix; Hörst, Fabian; Brehmer, Alexander; Heine, Lukas; Hanusrichter, Yannik; Weßling, Martin; Dudda, Marcel; Podleska, Lars E.; Fink, Matthias A.; Keyl, Julius; Tserpes, Konstantinos; Kim, Moon-Sung; Elhabian, Shireen; Lamecker, Hans; Zukić, Dženan; Paniagua, Beatriz; Wachinger, Christian; Urschler, Martin; Duong, Luc; Wasserthal, Jakob; Hoyer, Peter F.; Basu, Oliver; Maal, Thomas; Witjes, Max J. H.; Schiele, Gregor; Chang, Ti-Chiun; Ahmadi, Seyed-Ahmad; Luo, Ping; Menze, Bjoern; Reyes, Mauricio; Deserno, Thomas M.; Davatzikos, Christos; Puladi, Behrus; Fua, Pascal; Yuille, Alan L.; Kleesiek, Jens; Egger, Jan
    MedShapeNet : a large-scale dataset of 3D medical shapes for computer vision
    In: Biomedical engineering = Biomedizinische Technik , Jg. 70 2025, Nr. 1, S. 71 – 90
    DOI, Online Volltext (Open Access)
  • Krieger, Kathrin; Egger, Jan; Kleesiek, Jens; Gunzer, Matthias; Chen, Jianxu
    Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine
    In: Journal of Imaging Informatics in Medicine , Jg. 38 2025, Nr. 1, S. 646 – 655
    DOI (Open Access)
  • Sadok, Nadia; Luijten, Gijs; Bahnsen, Fin H.; Gsaxner, Christina; Peters, Lorenz; Eichler, Theda; Rombach, Theresa; Lang, Stephan; Khattab, Sameh; Kleesiek, Jens; Holle-Lee, Dagny; Meyer, Moritz; Egger, Jan
    Performing the HINTS-exam using a mixed-reality head-mounted display in patients with acute vestibular syndrome : A feasibility study
    In: Frontiers in Neurology , Jg. 16 2025, 1576959
    DOI (Open Access)
  • Kersting, David; Borys, Katarzyna; Küper, Alina; Kim, Moon; Haubold, Johannes; Goerttler, Tsepo; Umutlu, Lale; Costa, Pedro Fragoso; Kleesiek, Jens; Rischpler, Christoph; Nensa, Felix; Herrmann, Ken; Fendler, Wolfgang; Weber, Manuel; Hosch, René; Seifert, Robert
    Staging of prostate Cancer with ultra-fast PSMA-PET scans enhanced by AI
    In: European Journal of Nuclear Medicine and Molecular Imaging , Jg. 52 2025, Nr. 5, S. 1658 – 1670
    DOI (Open Access)
  • Kasper, Stefan; Liszio, S.; Schorrmann, Katrin; Gerigk, Monja; Jovic, Slobodan; Basu, Oliver; Kostbade, Karina; Goraus, Beate; Elsakka, Abdelrahman; Puladi, B.; Kleesiek, Jens; Schuler, Martin; Luijten, G.; Egger, Jan
    Virtual reality support during systemic cancer therapy to improve anxiety/depressive symptoms and reduce toxicity in patients with gastrointestinal cancers—OncoVR
    In: ESMO Gastrointestinal Oncology , Jg. 7 2025, 100135
    DOI (Open Access)
  • Jonske, Frederic; Kim, Moon; Nasca, Enrico; Evers, Janis; Haubold, Johannes; Hosch, René; Nensa, Felix; Kamp, Michael; Seibold, Constantin; Egger, Jan; Kleesiek, Jens
    Why does my medical AI look at pictures of birds? : Exploring the efficacy of transfer learning across domain boundaries
    In: Computer Methods and Programs in Biomedicine , Jg. 261 2025, 108634
    DOI (Open Access)
  • Pucher, Gernot; Rostalski, Till; Nensa, Felix; Kleesiek, Jens; Reinhardt, Hans Christian; Sauer, Christopher Martin
    Why implementing machine learning algorithms in the clinic is not a plug-and-play solution : A simulation study of a machine learning algorithm for acute leukaemia subtype diagnosis
    In: eBioMedicine , Jg. 111 2025, 105526
    DOI (Open Access)
  • Spangenberg, Philippa; Bessler, Sebastian; Widera, Lars; Bottek, Jenny; Richter, Mathis; Thiebes, Stephanie; Siemes, Devon; Krauß, Sascha D.; Migas, Lukasz G.; Kasarla, Siva Swapna; Phapale, Prasad; Kleesiek, Jens; Führer, Dagmar; Möller, Lars; Heuer, Heike; Van de Plas, Raf; Gunzer, Matthias; Soehnlein, Oliver; Soltwisch, Jens; Shevchuk, Olga; Dreisewerd, Klaus; Engel, Daniel R.
    msiFlow : automated workflows for reproducible and scalable multimodal mass spectrometry imaging and microscopy data analysis
    In: Nature Communications , Jg. 16 2025, Nr. 1, 1065
    DOI (Open Access)
  • Müller, Lukas; Mähringer-Kunz, Aline; Auer, Timo Alexander; Fehrenbach, Uli; Gebauer, Bernhard; Haubold, Johannes; Schaarschmidt, Benedikt; Kim, Moon-Sung; Hosch, René; Nensa, Felix; Kleesiek, Jens; Diallo, Thierno D.; Eisenblätter, Michel; Kuzior, Hanna; Roehlen, Natascha; Bettinger, Dominik; Steinle, Verena; Mayer, Philipp; Zopfs, David; Pinto Dos Santos, Daniel; Kloeckner, Roman
    AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study
    In: JHEP Reports , Jg. 6 2024, Nr. 8, 101125
    DOI (Open Access)
  • Surov, Alexey; Wienke, Andreas; Borggrefe, Jan; Auer, Timo Alexander; Gebauer, Bernhard; Mähringer-Kunz, Aline; Nensa, Felix; Haubold, Johannes; Schaarschmidt, Benedikt; Hosch, René; Kleesiek, Jens; Diallo, Thierno D.; Roehlen, Natascha; Bettinger, Dominik; Eisenblätter, Michel; Steinle, Verena; Mayer, Philipp; Zopfs, David; Pinto dos Santos, Daniel; Müller, Lukas; Kloeckner, Roman
    Albumin-muscle density score predicts overall survival in patients with hepatocellular cancer undergoing treatment with transarterial chemoembolization
    In: Journal of Cancer Research and Clinical Oncology , Jg. 150 2024, Nr. 12, 515
    DOI (Open Access)
  • Li, Jianning; Ellis, David G.; Pepe, Antonio; Gsaxner, Christina; Aizenberg, Michele R.; Kleesiek, Jens; Egger, Jan
    Back to the Roots : Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
    In: Journal of Medical Systems , Jg. 48 2024, Nr. 1, 55
    DOI (Open Access)
  • Hörst, Fabian; Rempe, Moritz; Heine, Lukas; Seibold, Constantin; Keyl, Julius; Baldini, Giulia; Ugurel, Selma; Siveke, Jens; Grünwald, Barbara; Egger, Jan; Kleesiek, Jens
    CellViT : Vision Transformers for precise cell segmentation and classification
    In: Medical Image Analysis , Jg. 94 2024, 103143
    DOI (Open Access)
  • Li, Jianning; Dada, Amin; Puladi, Behrus; Kleesiek, Jens; Egger, Jan
    ChatGPT in healthcare : A taxonomy and systematic review
    In: Computer Methods and Programs in Biomedicine , Jg. 245 2024, 108013
    DOI (Open Access)
  • Karpinski, Madeleine J; Hüsing, Johannes; Claassen, Kevin; Möller, Lennart; Kajüter, Hiltraud; Oesterling, Florian; Grünwald, Viktor; Umutlu, Lale; Kleesiek, Jens; Telli, Tugce; Merkel-Jens, Anja; Hüsing, Anika; Kesch, Claudia; Herrmann, Ken; Eiber, Matthias; Hoberück, Sebastian; Meyer, Philipp T; Kind, Felix; Rahbar, Kambiz; Schäfers, Michael; Stang, Andreas; Hadaschik, Boris A.; Fendler, Wolfgang P.
    Combining PSMA-PET and PROMISE to re-define disease stage and risk in patients with prostate cancer : A multicentre retrospective study
    In: The Lancet Oncology , Jg. 25 2024, Nr. 9, S. 1188 – 1201
    DOI (Open Access)
  • Ferreira, André; Li, Jianning; Pomykala, Kelsey L.; Kleesiek, Jens; Alves, Victor; Egger, Jan
    Corrigendum to : GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy
    In: Medical Image Analysis , Jg. 96 2024, 103174
    DOI (Open Access)
  • Raufeisen, Johannes; Xie, Kunpeng; Hörst, Fabian; Braunschweig, Till; Li, Jianning; Kleesiek, Jens; Röhrig, Rainer; Egger, Jan; Leibe, Bastian; Hölzle, Frank; Hermans, Alexander; Puladi, Behrus
    Cyto R-CNN and CytoNuke Dataset : Towards reliable whole-cell segmentation in bright-field histological images
    In: Computer Methods and Programs in Biomedicine , Jg. 252 2024, 108215
    DOI (Open Access)
  • Marinov, Zdravko; Jäger, Paul F.; Egger, Jan; Kleesiek, Jens; Stiefelhagen, Rainer
    Deep Interactive Segmentation of Medical Images : A Systematic Review and Taxonomy
    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , Jg. 46 2024, Nr. 12, S. 10998 – 11018
    DOI (Open Access)
  • Lodde, Georg; Zhao, Fang; Herbst, Rudolf; Terheyden, Patrick; Utikal, Jochen; Pföhler, Claudia; Ulrich, Jens; Kreuter, Alexander; Mohr, Peter; Gutzmer, Ralf; Meier, Friedegund; Dippel, Edgar; Weichenthal, Michael; Jansen, Philipp; Kowall, Bernd; Galetzka, Wolfgang; Hörst, Fabian; Kleesiek, Jens; Hellwig, Birte; Rahnenführer, Jörg; Rajcsanyi, Luisa; Peters, Triinu; Hinney, Anke; Placke, Jan-Malte; Sucker, Antje; Paschen, Annette; Becker, Jürgen; Livingstone, Elisabeth; Zimmer, Lisa; Tasdogan, Alpaslan; Rösch, Alexander; Hadaschik, Eva; Schadendorf, Dirk; Griewank, Klaus; Ugurel, Selma
    Early versus late response to PD-1-based immunotherapy in metastatic melanoma
    In: European Journal of Cancer (EJC) , Jg. 210 2024, 114295
    DOI (Open Access)
  • Brehmer, Alexander; Sauer, Christopher Martin; Salazar Rodríguez, Jayson; Herrmann, Kelsey; Kim, Moon; Keyl, Julius; Bahnsen, Fin Hendrik; Frank, Benedikt; Köhrmann, Martin; Rassaf, Tienush; Mahabadi, Amir Abbas; Hadaschik, Boris; Darr, Christopher; Herrmann, Ken; Tan, Susanne; Buer, Jan; Brenner, Thorsten; Reinhardt, Hans Christian; Nensa, Felix; Gertz, Michael; Egger, Jan; Kleesiek, Jens
    Establishing Medical Intelligence - Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management : Retrospective Cohort and Clinical Implementation Study
    In: Journal of Medical Internet Research (JMIR) , Jg. 26 2024, e55148
    DOI, Online Volltext (Open Access)
  • Ferreira, André; Li, Jianning; Pomykala, Kelsey L.; Kleesiek, Jens; Alves, Victor; Egger, Jan
    GAN-based generation of realistic 3D volumetric data : A systematic review and taxonomy
    In: Medical Image Analysis , Jg. 93 2024, 103100
    DOI (Open Access)
  • Dada, Amin; Ufer, Tim Leon; Kim, Moon; Hasin, Max; Spieker, Nicola; Forsting, Michael; Nensa, Felix; Egger, Jan; Kleesiek, Jens
    Information extraction from weakly structured radiological reports with natural language queries
    In: European Radiology , Jg. 34 2024, Nr. 1, S. 330 – 337
    DOI (Open Access)
  • Egger, Jan; Gsaxner, Christina; Luijten, Gijs; Chen, Jianxu; Chen, Xiaojun; Bian, Jiang; Kleesiek, Jens; Puladi, Behrus
    Is the Apple Vision Pro the Ultimate Display? : A First Perspective and Survey on Entering the Wonderland of Precision Medicine
    In: JMIR Serious Games (JSG) , Jg. 12 2024, e52785
    DOI (Open Access)
  • Li, Wen; Lam, Saikit; Wang, Yinghui; Liu, Chenyang; Li, Tian; Kleesiek, Jens; Cheung, Andy Lai-Yin; Sun, Ying; Lee, Francis Kar-ho; Au, Kwok-hung; Lee, Victor Ho-fun; Cai, Jing
    Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-institutional Patient-based Data Normalization
    In: IEEE Journal of Biomedical and Health Informatics , Jg. 28 2024, Nr. 1, S. 100 – 109
    DOI, Online Volltext (Open Access)
  • Wiest, Isabella Catharina; Ferber, Dyke; Zhu, Jiefu; van Treeck, Marko; Meyer, Sonja K.; Juglan, Radhika; Carrero, Zunamys I.; Paech, Daniel; Kleesiek, Jens; Ebert, Matthias P.; Truhn, Daniel; Kather, Jakob Nikolas
    Privacy-preserving large language models for structured medical information retrieval
    In: npj Digital Medicine , Jg. 7 2024, Nr. 1, 257
    DOI (Open Access)
  • Keyl, Julius; Bucher, A.; Jungmann, F.; Hosch, R.; Ziller, A.; Armbruster, R.; Malkomes, P.; Reissig, T.M.; Koitka, S.; Tzianopoulos, I.; Keyl, P.; Kostbade, K.; Albers, David; Markus, P.; Treckmann, Jürgen-Walter; Naßenstein, Kai; Haubold, Johannes; Makowski, M.; Forsting, Michael; Baba, Hideo Andreas; Kasper, Stefan; Siveke, Jens T.; Nensa, Felix; Schuler, Martin; Kaissis, G.; Kleesiek, Jens; Braren, R.
    Prognostic value of deep learning-derived body composition in advanced pancreatic cancer : A retrospective multicenter study
    In: ESMO Open , Jg. 9 2024, Nr. 1, 102219
    DOI, Online Volltext (Open Access)
  • Gatidis, Sergios; Früh, Marcel; Fabritius, Matthias P.; Gu, Sijing; Nikolaou, Konstantin; Fougère, Christian La; Ye, Jin; He, Junjun; Peng, Yige; Bi, Lei; Ma, Jun; Wang, Bo; Zhang, Jia; Huang, Yukun; Heiliger, Lars; Marinov, Zdravko; Stiefelhagen, Rainer; Egger, Jan; Kleesiek, Jens; Sibille, Ludovic; Xiang, Lei; Bendazzoli, Simone; Astaraki, Mehdi; Ingrisch, Michael; Cyran, Clemens C.; Küstner, Thomas
    Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging
    In: Nature Machine Intelligence , Jg. 6 2024, Nr. 11, S. 1396 – 1405
    DOI
  • Koitka, Sven; Baldini, Giulia; Kroll, Lennard; van Landeghem, Natalie; Pollok, Olivia B.; Haubold, Johannes; Pelka, Obioma; Kim, Moon; Kleesiek, Jens; Nensa, Felix; Hosch, René
    SAROS : A dataset for whole-body region and organ segmentation in CT imaging
    In: Scientific Data , Jg. 11 2024, Nr. 1, 483
    DOI, Online Volltext (Open Access)
  • Puladi, Behrus; Gsaxner, Christina; Kleesiek, Jens; Hölzle, Frank W.; Röhrig, Rainer; Egger, Jan
    The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery : a narrative review
    In: International Journal of Oral and Maxillofacial Surgery , Jg. 53 2024, Nr. 1, S. 78 – 88
    DOI (Open Access)
  • Mayer, Christian; Pepe, Antonio; Hossain, Sophie; Karner, Barbara; Arnreiter, Melanie; Kleesiek, Jens; Schmid, Johannes; Janisch, Michael; Hannes, Deutschmann; Fuchsjäger, Michael; Zimpfer, Daniel; Egger, Jan; Mächler, Heinrich
    Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms
    In: Scientific Data , Jg. 11 2024, Nr. 1, 596
    DOI (Open Access)
  • Bucher, Andreas Michael; Egger, Jan; Dietz, Julia; Strecker, Ralph; Hilbert, Tom; Frodl, Eric; Wenzel, Mike; Penzkofer, Tobias; Hamm, Bernd; Chun, Felix KH; Vogl, Thomas; Kleesiek, Jens; Beeres, Martin
    Value of MRI - T2 Mapping to Differentiate Clinically Significant Prostate Cancer
    In: Journal of Imaging Informatics in Medicine , Jg. 37 2024, Nr. 6, S. 3304 – 3315
    DOI (Open Access)
  • Rempe, Moritz; Mentzel, Florian; Pomykala, Kelsey L.; Haubold, Johannes; Nensa, Felix; Kroeninger, Kevin; Egger, Jan; Kleesiek, Jens
    k-strip : A novel segmentation algorithm in k-space for the application of skull stripping
    In: Computer Methods and Programs in Biomedicine , Jg. 243 2024, 107912
    DOI (Open Access)
  • Luijten, Gijs; Gsaxner, Christina; Li, Jianning; Pepe, Antonio; Ambigapathy, Narmada; Kim, Moon; Chen, Xiaojun; Kleesiek, Jens; Hölzle, Frank; Puladi, Behrus; Egger, Jan
    3D surgical instrument collection for computer vision and extended reality
    In: Scientific Data , Jg. 10 2023, Nr. 1, 796
    DOI (Open Access)
  • Deininger, Luca; Jung-Klawitter, Sabine; Mikut, Ralf; Richter, Petra; Fischer, Manuel; Karimian-Jazi, Kianush; Breckwoldt, Michael O.; Bendszus, Martin; Heiland, Sabine; Kleesiek, Jens; Opladen, Thomas; Hübschmann, Oya Kuseyri; Hübschmann, Daniel; Schwarz, Daniel
    An AI-based segmentation and analysis pipeline for high-field MR monitoring of cerebral organoids
    In: Scientific Reports , Jg. 13 2023, Nr. 1, 21231
    DOI (Open Access)
  • Jacobs, Paul-Philipp; Ehrengut, Constantin; Bucher, Andreas Michael; Penzkofer, Tobias; Lukas, Mathias; Kleesiek, Jens; Denecke, Timm
    Challenges in Implementing the Local Node Infrastructure for a National Federated Machine Learning Network in Radiology
    In: Healthcare , Jg. 11 2023, Nr. 17, 2377
    DOI (Open Access)
  • Haubold, Johannes; Jost, Gregor; Theysohn, Jens Matthias; Ludwig, Johannes Maximilian; Li, Yan; Kleesiek, Jens; Schaarschmidt, Benedikt Michael; Forsting, Michael; Nensa, Felix; Pietsch, Hubertus; Hosch, René
    Contrast Agent Dose Reduction in MRI Utilizing a Generative Adversarial Network in an Exploratory Animal Study
    In: Investigative Radiology , Jg. 58 2023, Nr. 6, S. 396 – 404
    DOI
  • Keyl, Julius; Hosch, René; Berger, Aaron; Ester, Oliver; Greiner, Tobias; Bogner, Simon; Treckmann, Jürgen; Ting, Saskia; Schumacher, Brigitte; Albers, David; Markus, Peter; Wiesweg, Marcel; Forsting, Michael; Nensa, Felix; Schuler, Martin; Kasper, Stefan; Kleesiek, Jens
    Deep learning-based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer
    In: Journal of Cachexia, Sarcopenia and Muscle , Jg. 14 2023, Nr. 1, S. 545 – 552
    DOI, Online Volltext (Open Access)
  • Kim, Moon; Seifert, Robert; Fragemann, Jana; Kersting, David; Murray, Jacob; Jonske, Frederic; Pomykala, Kelsey L.; Egger, Jan; Fendler, Wolfgang; Herrmann, Ken; Kleesiek, Jens
    Evaluation of thresholding methods for the quantification of [⁶⁸Ga]Ga-PSMA-11 PET molecular tumor volume and their effect on survival prediction in patients with advanced prostate cancer undergoing [¹⁷⁷Lu]Lu-PSMA-617 radioligand therapy
    In: European Journal of Nuclear Medicine and Molecular Imaging , Jg. 50 2023, Nr. 7, S. 2196 – 2209
    DOI (Open Access)
  • Hörst, Fabian; Ting, Saskia; Liffers, Sven-Thorsten; Pomykala, Kelsey L.; Steiger, Katja; Albertsmeier, Markus; Angele, Martin K.; Lorenzen, Sylvie; Quante, Michael; Weichert, Wilko; Egger, Jan; Siveke, Jens T.; Kleesiek, Jens
    Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning
    In: JCO Clinical Cancer Informatics (JCO CCI) , Jg. 7 2023, S. e2300038
    DOI (Open Access)
  • Darr, Christopher; Costa, Pedro Fragoso; Kahl, Theresa; Moraitis, Alexandros; Engel, Jenna; Al-Nader, Mulham; Reis, Henning; Köllermann, Jens; Kesch, Claudia; Krafft, Ulrich; Maurer, Tobias; Köhler, Daniel; Klutmann, Susanne; Falkenbach, Fabian; Kleesiek, Jens; Fendler, Wolfgang P.; Hadaschik, Boris; Herrmann, Ken
    Intraoperative Molecular Positron Emission Tomography Imaging for Intraoperative Assessment of Radical Prostatectomy Specimens
    In: European Urology Open Science , Jg. 54 2023, S. 28 – 32
    DOI (Open Access)
  • Kleesiek, Jens
    Kommentar zu KI – Sarkoidose oder Lymphom? : Maschinelles Lernen performt gut
    In: RöFo: Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren , Jg. 195 2023, Nr. 8, S. 664 – 665
    DOI
  • Prinz, Sebastian; Murray, Jacob M.; Strack, Christian; Nattenmüller, Johanna; Pomykala, Kelsey L.; Schlemmer, Heinz-Peter; Badde, Stephanie; Kleesiek, Jens
    Novel measures for the diagnosis of hepatic steatosis using contrast-enhanced computer tomography images
    In: European Journal of Radiology , Jg. 160 2023, 110708
    DOI
  • Li, Jianning; Ferreira, André; Puladi, Behrus; Alves, Victor; Kamp, Michael; Kim, Moon; Nensa, Felix; Kleesiek, Jens; Ahmadi, Seyed-Ahmad; Egger, Jan
    Open-source skull reconstruction with MONAI
    In: SoftwareX , Jg. 23 2023, 101432
    DOI (Open Access)
  • Li, Jianning; Gsaxner, Christina; Pepe, Antonio; Schmalstieg, Dieter; Kleesiek, Jens; Egger, Jan
    Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution
    In: Scientific Reports , Jg. 13 2023, Nr. 1, 20229
    DOI, Online Volltext (Open Access)
  • Li, Jianning; Ellis, David G.; Kodym, Oldřich; Rauschenbach, Laurèl; Rieß, Christoph; Sure, Ulrich; Wrede, Karsten; Alvarez, Carlos M.; Wodzinski, Marek; Daniol, Mateusz; Hemmerling, Daria; Mahdi, Hamza; Clement, Allison; Kim, Evan; Fishman, Zachary; Whyne, Cari M.; Mainprize, James G.; Hardisty, Michael R.; Pathak, Shashwat; Sindhura, Chitimireddy; Gorthi, Rama Krishna Sai S.; Kiran, Degala Venkata; Gorthi, Subrahmanyam; Yang, Bokai; Fang, Ke; Li, Xingyu; Kroviakov, Artem; Yu, Lei; Jin, Yuan; Pepe, Antonio; Gsaxner, Christina; Herout, Adam; Alves, Victor; Španěl, Michal; Aizenberg, Michele R.; Kleesiek, Jens; Egger, Jan
    Towards clinical applicability and computational efficiency in automatic cranial implant design : An overview of the AutoImplant 2021 cranial implant design challenge
    In: Medical Image Analysis , Jg. 88 2023, 102865
    DOI
  • Ester, Oliver; Hörst, Fabian; Seibold, Constantin; Keyl, Julius; Ting, Saskia; Vasileiadis, Nikolaos; Schmitz, Jessica; Ivanyi, Philipp; Grünwald, Viktor; Bräsen, Jan Hinrich; Egger, Jan; Kleesiek, Jens
    Valuing vicinity : Memory attention framework for context-based semantic segmentation in histopathology
    In: Computerized Medical Imaging and Graphics , Jg. 107 2023, 102238
    DOI (Open Access)
  • Fijačko, Nino; Metličar, Špela; Kleesiek, Jens; Egger, Jan; Chang, Todd P.
    Virtual Reality, Augmented Reality, Augmented Virtuality, or Mixed Reality in cardiopulmonary resuscitation : Which Extended Reality am I using for teaching adult basic life support?
    In: Resuscitation , Jg. 192 2023, 109973
    DOI
  • Strack, Christian; Pomykala, Kelsey L.; Schlemmer, Heinz-Peter; Egger, Jan; Kleesiek, Jens
    “A net for everyone” : fully personalized and unsupervised neural networks trained with longitudinal data from a single patient
    In: BMC Medical Imaging , Jg. 23 2023, Nr. 1, 174
    DOI, Online Volltext (Open Access)
  • Hosch, René; Kattner, Simone; Berger, Marc; Brenner, Thorsten; Haubold, Johannes; Kleesiek, Jens; Koitka, Sven; Kroll, Lennard; Kureishi, Anisa; Flaschel, Nils; Nensa, Felix
    Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity
    In: Scientific Reports , Jg. 12 2022, Nr. 1, 16411
    DOI, Online Volltext (Open Access)
  • Kroll, Lennard; Mathew, Annie; Baldini, Giulia; Hosch, René; Koitka, Sven; Kleesiek, Jens; Rischpler, Christoph; Haubold, Johannes; Führer, Dagmar; Nensa, Felix; Lahner, Harald
    CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients
    In: Scientific Reports , Jg. 12 2022, Nr. 1, 13419
    DOI, Online Volltext (Open Access)
  • Haubold, Johannes; Jost, Gregor; Theysohn, Jens; Ludwig, Johannes Maximilian; Li, Yan; Kleesiek, Jens; Schaarschmidt, Benedikt Michael; Forsting, Michael; Nensa, Felix; Pietsch, Hubertus; Hosch, René
    Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study
    In: Investigative Radiology , Jg. 57 2022, Nr. 10, S. 696 – 703
    DOI
  • Fink, Matthias A.; Seibold, Constantin; Kauczor, Hans-Ulrich; Stiefelhagen, Rainer; Kleesiek, Jens
    Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism
    In: Diagnostics , Jg. 12 2022, Nr. 5, 1224
    DOI (Open Access)
  • Gonçalves, Maria; Gsaxner, Christina; Ferreira, André; Li, Jianning; Puladi, Behrus; Kleesiek, Jens; Egger, Jan; Alves, Victor
    Radiomics in Head and Neck Cancer Outcome Predictions
    In: Diagnostics , Jg. 12 2022, Nr. 11, 2733
    DOI, Online Volltext (Open Access)
  • Salg, Gabriel Alexander; Ganten, Maria-Katharina; Bucher, Andreas Michael; Kenngott, Hannes Goetz; Fink, Matthias Alexander; Seibold, Constantin; Fischbach, Ricarda Elisabeth; Schlamp, Kai; Velandia, Carlos Alberto; Fervers, Philipp; Doellinger, Felix; Luger, Anna; Afat, Saif; Merle, Uta; Diener, Markus K.; Pereira, Philippe L.; Penzkofer, Tobias; Persigehl, Thorsten; Othman, Ahmed; Heußel, Claus Peter; Baumhauer, Matthias; Widmann, Gerlig; Stathopoulos, Konstantinos; Hamm, Bernd; Vogl, Thomas J.; Nikolaou, Konstantin; Kauczor, Hans-Ulrich; Kleesiek, Jens
    A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
    In: npj Digital Medicine , Jg. 4 2021, Nr. 1, 69
    DOI, Online Volltext (Open Access)
  • Kleesiek, Jens; Kersjes, Benedikt; Ueltzhöffer, Kai; Murray, Jacob M.; Rother, Carsten; Köthe, Ullrich; Schlemmer, Heinz-Peter
    Discovering digital tumor signatures : using latent code representations to manipulate and classify liver lesions
    In: Cancers , Jg. 13 2021, Nr. 13, 3108
    DOI, Online Volltext (Open Access)
  • Bucher, Andreas M.; Kleesiek, Jens
    Künstliche Intelligenz in der onkologischen Radiologie : Ein (P)review
    In: Der Radiologe , Jg. 61 2021, Nr. 1, S. 52 – 59
    DOI
  • Kleesiek, Jens; Murray, Jacob M.; Strack, Christian; Prinz, Sebastian; Kaissis, Georgios A.; Braren, Rickmer F.
    Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung
    In: Best Practice Onkologie , Jg. 16 2021, Nr. 4, S. 176 – 185
    DOI
  • Murray, Jacob M.; Pfeffer, Phillip; Seifert, Robert; Hermann, Alexander; Handke, Jessica; Kummer, Laura; Janssen, Henrike; Weigand, Markus A.; Schlemmer, Heinz-Peter; Larmann, Jan; Kleesiek, Jens
    Vesseg : An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report
    In: Arteriosclerosis, Thrombosis, and Vascular Biology , Jg. 41 2021, Nr. 10, S. 2516 – 2522
    DOI (Open Access)
  • Strack, Christian; Seifert, Robert; Kleesiek, Jens
    Künstliche Intelligenz in der Hybridbildgebung
    In: Der Radiologe , Jg. 60 2020, Nr. 5, S. 405 – 412
    DOI
  • Kleesiek, Jens; Murray, Jacob M.; Strack, Christian; Prinz, Sebastian; Kaissis, Georgios; Braren, Rickmer
    Künstliche Intelligenz und maschinelles Lernen in der onkologischen Bildgebung
    In: Der Pathologe , Jg. 41 2020, Nr. 6, S. 649 – 658
    DOI

    • Vorworte / Nachworte

  • Fragemann, Jana; Li, Jianning; Liu, Xiao; Tsaftaris, Sotirios A.; Egger, Jan; Kleesiek, Jens
    Preface
    In: Medical Applications with Disentanglements: First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / Fragemann, Jana; Li, Jianning; Liu, Xiao; Tsaftaris, Sotirios A.; Egger, Jan; Kleesiek, Jens; First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, 22.09.2022, Singapore 2023, S. VI

    • Abstracts

  • Sauer, Christopher Martin; Brehmer, Alexander; Rostalski, Till; Schuler, Martin H.; Nensa, Felix; Reinhardt, Hans Christian; Kleesiek, Jens; Pucher, Gernot
    Predicting persistent fever in patients with cancer using machine learning
    In: Journal of Clinical Oncology (JCO) , Jg. 42 2024, Nr. 16_suppl, e13552
    DOI (Open Access)
  • Pedro, Costa Fragoso; Darr, Christopher; Moraitis, Alexandros; Kahl, T.; Engel, J.; Al-Nader, Mulham; Henning, Monika; Köllermann, J.; Kesch, Claudia; Krafft, Ulrich; Maurer, T.; Köhler, D.; Klutmann, S.; Falkenbach, F.; Kleesiek, Jens; Fendler, Wolfgang; Herrmann, Ken; Hadaschik, Boris
    Improving radical prostatectomy with intraoperative ex-vivo PSMA-PET/CT imaging
    Annual Congress of the European Association of Nuclear Medicine, 9-13 September 2023 Vienna, Austria,
    In: European Journal of Nuclear Medicine and Molecular Imaging , Jg. 50 2023, Nr. 1 supplement, S. S586
    DOI
  • Darr, Christopher; Fragoso Costa, Pedro; Kahl, T.; Alexandros, M.; Fendler, Wolfgang P.; Barbato, F.; Bartel, T.; Reis, H.; Köllermann, J.; Pullen, L.; Kesch, C.; Krafft, Ulrich; Kleesiek, Jens; Herrmann, Ken; Hadaschik, Boris A.
    Intraoperative microPET/CT imaging for PSMA-positive cancer foci in radical prostatectomy – feasibility study
    38th Annual EAU (European Association of Urology) Congress ; EAU23 ; 10 - 13 March 2023, Milan, Italy,
    In: European Urology , Jg. 83 2023, Nr. Supplement 1, S. S687
    DOI
  • Scherer, Jonas; Nolden, Marco; Kleesiek, Jens; Metzger, Jasmin; Kades, Klaus; Schneider, Verena; Gao, Hanno; Neher, Peter; Floca, Ralf; Schlemmer, Heinz-Peter; Maier-Hein, Klaus
    Joint Imaging Platform for Federated Clinical Data Analytics
    In: Bildverarbeitung für die Medizin 2021: Proceedings / German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021 / Palm, Christoph; Deserno, Thomas M.; Handels, Heinz; Maier, Andreas; Maier-Hein, Klaus; Tolxdorff, Thomas (Hrsg.) 2021, S. 127
    DOI (Open Access)

    • Beiträge in Sammelwerken und Tagungsbänden

  • Marinov, Zdravko; Jaus, Alexander; Kleesiek, Jens; Stiefelhagen, Rainer
    Filters, Thresholds, and Geodesic Distances for Scribble-Based Interactive Segmentation of Medical Images
    In: Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop / MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024; Seattle, USA; June 17–21, 2024 / Ma, Jun; Zhou, Yuyin; Wang, Bo (Hrsg.) 2025, S. 39 – 56
    DOI (Open Access)
  • Heinemann, Lena; Jaus, Alexander; Marinov, Zdravko; Kim, Moon; Spadea, Maria Francesca; Kleesiek, Jens; Stiefelhagen, Rainer
    LIMIS : Towards Language-Based Interactive Medical Image Segmentation
    In: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) / 22nd International Symposium on Biomedical Imaging (ISBI), 14-17 April 2025, Houston, TX, USA 2025
    DOI
  • Abourayya, Amr; Kleesiek, Jens; Rao, Kanishka; Ayday, Erman; Rao, Bharat; Webb, Geoffrey I.; Kamp, Michael
    Little is Enough : Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
    In: Proceedings of the AAAI Conference on Artificial Intelligence / Walsh, Toby; Shah, Julie; Kolter, Zico (Hrsg.) , Jg. 39 2025, Nr. 15, S. 15293 – 15301
    DOI (Open Access)
  • Marinov, Zdravko; Jaus, Alexander; Kleesiek, Jens; Stiefelhagen, Rainer
    Taking a Step Back : Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images
    In: Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop / MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024; Seattle, USA; June 17–21, 2024 / Ma, Jun; Zhou, Yuyin; Wang, Bo (Hrsg.) 2025, S. 101 – 125
    DOI (Open Access)
  • Van Meegdenburg, Timo; Luijten, Gijs; Kleesiek, Jens; Puladi, Behrus; Ferreira, Andre; Egger, Jan; Gsaxner, Christina
    A Baseline Solution for the ISBI 2024 Dreaming Challenge
    In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) / IEEE International Symposium on Biomedical Imaging (ISBI), 27-30 May 2024, Athens, Greece / IEEE (Hrsg.) 2024
    DOI
  • Hörst, Fabian; Schaheer, Sajad H.; Baldini, Giulia; Bahnsen, Fin H.; Egger, Jan; Kleesiek, Jens
    Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline
    In: Bildverarbeitung für die Medizin 2024: Proceedings / German Conference on Medical Image Computing; 10-12 March 2024; Erlangen / Maier, Andreas; Deserno, Thomas M.; Handels, Heinz; Maier-Hein, Klaus; Palm, Christoph; Tolxdorff, Thomas (Hrsg.) 2024, S. 356 – 361
    DOI
  • Jaus, Alexander; Seibold, Constantin; Reiß, Simon; Heine, Lukas; Schily, Anton; Kim, Moon; Bahnsen, Fin Hendrik; Herrmann, Ken; Stiefelhagen, Rainer; Kleesiek, Jens
    Anatomy-Guided Pathology Segmentation
    In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024: 27th International Conference, Marrakesh, Morocco, October 6–10, 2024, Proceedings, Part VIII / MICCAI 2024, 27th International Conference, Marrakesh, Morocco, October 6–10, 2024 / Linguraru, Marius George; Dou, Qi; Feragen, Aasa (Hrsg.) 2024, S. 3 – 13
    DOI
  • Idrissi-Yaghir, Ahmad; Dada, Amin; Schäfer, Henning; Arzideh, Kamyar; Baldini, Giulia; Trienes, Jan; Hasin, Max; Bewersdorff, Jeanette; Schmidt, Cynthia S.; Bauer, Marie; Smith, Kaleb E.; Bian, Jiang; Wu, Yonghui; Schlötterer, Jörg; Zesch, Torsten; Horn, Peter A.; Seifert, Christin; Nensa, Felix; Kleesiek, Jens; Friedrich, Christoph M.
    Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding
    In: 30th Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): Main Conference Proceedings / 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation (LREC-COLING 2024); Hybrid, Torino; 20 - 25 May 2024 / European Language Resources Association (ELRA) (Hrsg.) 2024, S. 3654 – 3665
  • Weber, Maximilian; Wild, Daniel; Kleesiek, Jens; Egger, Jan; Gsaxner, Christina
    Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery
    In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) / IEEE International Symposium on Biomedical Imaging (ISBI), 27-30 May 2024, Athens, Greece / IEEE (Hrsg.) 2024
    DOI, Online Volltext (Open Access)
  • Jonske, Frederic; Osthues, Kevin; Dada, Amin; Nasca, Enrico; Fragemann, Jana; Alff, Julian; Bakumenko, Oleh; Birnbach, Marcel; Kondratenko, Maxim; Reinike, Lars; Schulz, Benjamin; Siethoff, Fabian; Simon, Tobias; Wang, Joey; Zhang, Nils; Bahnsen, Fin H.; Egger, Jan; Kim, Moon-Sung; Lymbery, Maria; Kleesiek, Jens; Kraus, Johannes
    Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data
    In: Artificial Intelligence for Security: Enhancing Protection in a Changing World / Sipola, Tuomo; Alatalo, Janne; Wolfmayr, Monika; Kokkonen, Tero (Hrsg.) 2024, S. 259 – 292
    DOI
  • Ferreira, André; Solak, Naida; Li, Jianning; Dammann, Philipp; Kleesiek, Jens; Alves, Victor; Egger, Jan
    Enhanced Data Augmentation using Synthetic Data for Brain Tumour Segmentation
    In: Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation: MICCAI Challenges, BraTS 2023 and CrossMoDA 2023, held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024, Proceedings / Brain Tumor Segmentation (BraTS 2023) Challenge, October, 8th–12th, 2024, Vancouver, BC, Canada / Baid, Ujjwal; Dorent, Reuben; Malec, Sylwia; et al. (Hrsg.) 2024, S. 79 – 93
    DOI
  • Le, Phuong Quynh; Kleesiek, Jens; Seibold, Constantin
    Enhancing Contrastive Training for Semi-Supervised Chest X-Ray Analysis Through Gaussian Mixture Models
    In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) / IEEE International Symposium on Biomedical Imaging (ISBI), 27-30 May 2024, Athens, Greece / IEEE (Hrsg.) 2024
    DOI
  • Ferreira, Andre; Luijten, Gijs; Puladi, Behrus; Kleesiek, Jens; Alves, Victor; Egger, Jan
    Generalisation of Segmentation Using Generative Adversarial Networks
    In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) / IEEE International Symposium on Biomedical Imaging (ISBI), 27-30 May 2024, Athens, Greece / IEEE (Hrsg.) 2024
    DOI
  • Perz, Markus; Luijten, Gijs; Kleesiek, Jens; Schmalstieg, Dieter; Egger, Jan; Gsaxner, Christina
    MultiAR : A Multi-User Augmented Reality Platform for Biomedical Education
    In: Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024) / 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024): 15-19 July 2024; Orlando, USA 2024
    DOI, Online Volltext
  • Kirchhoff, Yannick; Rokuss, Maximilian R.; Roy, Saikat; Kovacs, Balint; Ulrich, Constantin; Wald, Tassilo; Zenk, Maximilian; Vollmuth, Philipp; Kleesiek, Jens; Isensee, Fabian; Maier-Hein, Klaus
    Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
    In: Proceedings of the 18th European Conference on Computer Vision (ECCV 2024) / 18th European Conference on Computer Vision (ECCV 2024): 29. September - 4. October 2024; Milan, Italy / Leonardis, Aleš; Ricci, Elisa; Roth, Stefan; Russakovsky, Olga; Sattler, Torsten; Varol, Gül (Hrsg.) 2024, S. 218 – 234
    DOI
  • Hadlich, Matthias; Marinov, Zdravko; Kim, Moon; Nasca, Enrico; Kleesiek, Jens; Stiefelhagen, Rainer
    Sliding Window Fastedit : A Framework for Lesion Annotation in Whole-Body Pet Images
    In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) / IEEE International Symposium on Biomedical Imaging (ISBI), 27-30 May 2024, Athens, Greece / IEEE (Hrsg.) 2024
    DOI, Online Volltext (Open Access)
  • Li, Jianning; Pepe, Antonio; Luijten, Gijs; Schwarz-Gsaxner, Christina; Kleesiek, Jens; Egger, Jan
    Anatomy Completor : A Multi-class Completion Framework for 3D Anatomy Reconstruction
    In: Shape in Medical Imaging: Proceedings / Wachinger, Christian; Paniagua, Beatriz; Elhabian, Shireen; Li, Jianning; Egger, Jan; International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, October 8, 2023, Vancouver, BC, Canada 2023, S. 1 – 14
    DOI
  • Fragemann, Jana; Liu, Xiao; Li, Jianning; Tsaftaris, Sotirios A.; Egger, Jan; Kleesiek, Jens
    Applying Disentanglement in the Medical Domain : An Introduction for the MAD Workshop
    In: Medical Applications with Disentanglements: First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / Fragemann, Jana; Li, Jianning; Liu, Xiao; Tsaftaris, Sotirios A.; Egger, Jan; Kleesiek, Jens; First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, 22.09.2022, Singapore 2023, S. 3 – 11
    DOI
  • Adilova, Linara; Abourayya, Amr; Li, Jianning; Dada, Amin; Petzka, Henning; Egger, Jan; Kleesiek, Jens; Kamp, Michael
    FAM: Relative Flatness Aware Minimization
    In: Proceedings of the 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning / 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning, TAG-ML 2023, held at the International Conference on Machine Learning, ICML 2023; Honolulu; 28 July 2023 2023, S. 37 – 49
  • Marinov, Zdravko; Stiefelhagen, Rainer; Kleesiek, Jens
    Guiding the Guidance : A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images
    In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: Proceedings, Part III / Greenspan, Hayit; Madabhushi, Anant; Mousavi, Parvin; Salcudean, Septimiu; Duncan, James; Syeda-Mahmood, Tanveer; Taylor, Russell; 26th International Conference, October 8–12, 2023, Vancouver, BC, Canada 2023, S. 637 – 647
    DOI
  • Marinov, Zdravko; Reiß, Simon; Kersting, David; Kleesiek, Jens; Stiefelhagen, Rainer
    Mirror U-Net : Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging
    In: 2023 IEEE/CVF International Conference on Computer Vision Workshops: Proceedings / ICCVW 2023, 2-6 October 2023, Paris, France, 2023, S. 2275 – 2285
    DOI, Online Volltext (Open Access)
  • Hallitschke, Verena Jasmin; Schlumberger, Tobias; Kataliakos, Philipp; Marinov, Zdravko; Kim, Moon; Heiliger, Lars; Seibold, Constantin; Kleesiek, Jens; Stiefelhagen, Rainer
    Multimodal Interactive Lung Lesion Segmentation : A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues
    In: Proceedings of the 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023) / 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023): Cartagena, Colombia; 18 - 21 April 2023 2023
    DOI, Online Volltext (Open Access)
  • Schmidt, Marvin; Gebauer, Sebastian; Bartholmes, Annette; Kadioglu, Dennis; Kleesiek, Jens; Hamm, Bernd; Vogl, Thomas J.; Penzkofer, Tobias; Bucher, Andreas Michael; Storf, Holger
    CODEX Meets RACOON : A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data
    In: German Medical Data Sciences 2022 – Future Medicine: More Precise, More Integrative, More Sustainable! / Joint Conference of the 67th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 14th Annual Meeting of the TMF – Technology, Methods, and Infrastructure for Networked Medical Research e.V.; 21–25 August 2022; Kiel, Germany / Röhrig, Rainer; Grabe, Niels; Hoffmann, Verena S.; Hübner, Ursula; König, Jochem; Sax, Ulrich; Schreiweis, Björn; Sedlmayr, Martin (Hrsg.) 2022, S. 58 – 65
    DOI (Open Access)
  • Seibold, Constantin; Reiß, Simon; Sarfraz, Saquib; Fink, Matthias A.; Mayer, Victoria; Sellner, Jan; Kim, Moon Sung; Maier-Hein, Klaus H.; Kleesiek, Jens; Stiefelhagen, Rainer
    Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
    In: The 33rd British Machine Vision Conference Proceedings / 33rd British Machine Vision Conference 21st - 24th November 2022, London, UK 2022
  • Kleesiek, Jens
    Introduction to Machine Learning: Definitions and Hybrid Imaging Applications
    In: Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging / Veit-Haibach, Patrick; Herrmann, Ken 2022, S. 13 – 28
    DOI
  • Sekuboyina, Anjany; Onoro-Rubio, Daniel; Kleesiek, Jens; Malone, Brandon
    A relational-learning perspective to multi-label chest x-ray classification
    In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) / 18th International Symposium on Biomedical Imaging (ISBI) ; April 13-16, 2021, Nice, France 2021, S. 1618 – 1622
    DOI, Online Volltext (Open Access)
  • Seibold, Constantin; Fink, Matthias A.; Goos, Charlotte; Kauczor, Hans-Ulrich; Schlemmer, Heinz-Peter; Stiefelhagen, Rainer; Kleesiek, Jens
    Prediction of low-kev monochromatic images from polyenergetic ct scans for improved automatic detection of pulmonary embolism
    In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) / 18th International Symposium on Biomedical Imaging (ISBI) ; April 13-16, 2021, Nice, France 2021, S. 1017 – 1020
    DOI, Online Volltext (Open Access)

    • Poster / Posterbeiträge

  • Sauer, Christopher M. M; Rostalski, Till; Kleesiek, Jens; Reinhardt, Hans Christian; Nensa, Felix; Pucher, Gernot
    Why Implementing Machine Learning Algorithms in Clinical Routine Is Not a Plug-and-Play Operation : A Simulation Study of a Recently Published ML Algorithm for Acute Leukemia Subtype Diagnosis
    The 66th ASH Annual Meeting, December 7-10, 2024, San Diego, USA,
    In: Blood , Jg. 144 2024, Nr. Supplement 1, S. 3592 – 3592
    DOI (Open Access)