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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

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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; 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Strack, Christian; Seifert, Robert; Kleesiek, Jens
    Künstliche Intelligenz in der Hybridbildgebung
    In: Der Radiologe Jg. 60 (2020) Nr. 5, S. 405 - 412
  • 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
  • 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

  • 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
  • Darr, C.; Fragoso Costa, P.; 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
  • 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
  • Beiträge in Sammelwerken und Tagungsbänden

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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