Jens Kleesiek

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 98

Top Venues

CoRR

Bildverarbeitung für die Medizin

Medical Image Anal.

Comput. Methods Programs Biomed.

University of Hamburg (PHD)

Education History

University of Hamburg

PHD

Publications

Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. J. Medical Syst. 48 (1) (2024)
Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR (2024)
Wen Li, Saikit Lam, Yinghui Wang, Chenyang Liu, Tian Li, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai
Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. Comput. Methods Programs Biomed. 243 (2024)
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. CoRR (2024)
Zdravko Marinov, Moon S. Kim, Jens Kleesiek, Rainer Stiefelhagen
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods. CoRR (2024)
Michael Lackner, Behrus Puladi, Jens Kleesiek, Jan Egger, Jianning Li
A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction. CoRR (2024)
Markus R. Bujotzek, Ünal Akünal, Stefan Denner, Peter Neher, Maximilian Zenk, Eric Frodl, Astha Jaiswal, Moon S. Kim, Nicolai R. Krekiehn, Manuel Nickel, Richard Ruppel, Marcus Both, Felix Döllinger, Marcel Opitz, Thorsten Persigehl, Jens Kleesiek, Tobias Penzkofer, Klaus H. Maier-Hein, Rickmer Braren, Andreas Bucher
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain. CoRR (2024)
André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy. Medical Image Anal. 93 (2024)
Moritz Rempe, Fabian Hörst, Constantin Seibold, Boris Hadaschik, Marc Schlimbach, Jan Egger, Kevin Kröninger, Felix Breuer, Martin Blaimer, Jens Kleesiek
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information. CoRR (2024)
Lukas Heine, Fabian Hörst, Enrico Nasca, Jens Siveke, Jan Egger, Moon S. Kim, Fin Hendrik Bahnsen, Jens Kleesiek
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting. HICSS (2024)
Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING (2024)
Amin Dada, Marie Bauer, Amanda Butler Contreras, Osman Alperen Koras, Constantin Marc Seibold, Kaleb E. Smith, Jens Kleesiek
CLUE: A Clinical Language Understanding Evaluation for LLMs. CoRR (2024)
Ana Carolina Alves, André Ferreira, Gijs Luijten, Jens Kleesiek, Behrus Puladi, Jan Egger, Victor Alves
Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review. CoRR (2024)
Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek
CellViT: Vision Transformers for precise cell segmentation and classification. Medical Image Anal. 94 (2024)
Yannick Kirchhoff, Maximilian R. Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. CoRR (2024)
Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. CoRR (2024)
André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation. CoRR (2024)
Fabian Hörst, Sajad H. Schaheer, Giulia Baldini, Fin Hendrik Bahnsen, Jan Egger, Jens Kleesiek
Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline. Bildverarbeitung für die Medizin (2024)
Jianning Li, Amin Dada, Behrus Puladi, Jens Kleesiek, Jan Egger
ChatGPT in healthcare: A taxonomy and systematic review. Comput. Methods Programs Biomed. 245 (2024)
Maximilian Fischer, Peter F. Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. Bildverarbeitung für die Medizin (2024)
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images. Comput. Methods Programs Biomed. 252 (2024)
Maximilian Weber, Daniel Wild, Jens Kleesiek, Jan Egger, Christina Gsaxner
Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery. CoRR (2024)
Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter J. Schüffler, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution. CoRR (2024)
André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]. Medical Image Anal. 96 (2024)
Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek
Anatomy-guided Pathology Segmentation. CoRR (2024)
Maximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Abstract: Deep-learning on Lossily Compressed Pathology Images - Adverse Effects for ImageNet Pre-trained Models. Bildverarbeitung für die Medizin (2023)
Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek
Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology. Comput. Medical Imaging Graph. 107 (2023)
Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images. MICCAI (3) (2023)
Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek
"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. BMC Medical Imaging 23 (1) (2023)
Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen
Multimodal extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine. CoRR (2023)
Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi
Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision. CoRR (2023)
Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. ICCV (Workshops) (2023)
Maximilian Fischer, Peter F. Neher, Peter Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. MLMI@MICCAI (2) (2023)
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
FAM: Relative Flatness Aware Minimization. CoRR (2023)
Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. ISBI (2023)
Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images. CoRR (2023)
Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. CoRR (2023)
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
Open-source skull reconstruction with MONAI. SoftwareX 23 (2023)
Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines. CoRR (2023)
Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn
Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. CoRR (2023)
Verena Jasmin Hallitschke, Tobias Schlumberger, Philipp Kataliakos, Zdravko Marinov, Moon Kim, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues. CoRR (2023)
Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR (2023)
Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling. CoRR (2023)
Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger
The HoloLens in medicine: A systematic review and taxonomy. Medical Image Anal. 85 (2023)
Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoff Webb, Michael Kamp
Protecting Sensitive Data through Federated Co-Training. CoRR (2023)
Matthias Hadlich, Zdravko Marinov, Moon S. Kim, Enrico Nasca, Jens Kleesiek, Rainer Stiefelhagen
Sliding Window FastEdit: A Framework for Lesion Annotation in Whole-body PET Images. CoRR (2023)
Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. CoRR (2023)
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) (2023)
Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
On the Impact of Cross-Domain Data on German Language Models. CoRR (2023)
Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
FAM: Relative Flatness Aware Minimization. TAG-ML (2023)
Fabian Hörst, Moritz Rempe, Lukas Heine, Constantin Seibold, Julius Keyl, Giulia Baldini, Selma Ugurel, Jens Siveke, Barbara Grünwald, Jan Egger, Jens Kleesiek
CellViT: Vision Transformers for Precise Cell Segmentation and Classification. CoRR (2023)
Jianning Li, Antonio Pepe, Gijs Luijten, Christina Schwarz-Gsaxner, Jens Kleesiek, Jan Egger
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction. ShapeMI@MICCAI (2023)
Zdravko Marinov, Paul F. Jäger, Jan Egger, Jens Kleesiek, Rainer Stiefelhagen
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. CoRR (2023)
Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88 (2023)
Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform. Bildverarbeitung für die Medizin (2022)
Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek
Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training. MICCAI (5) (2022)
Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. MAD@MICCAI (2022)
Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek
Medical deep learning - A systematic meta-review. Comput. Methods Programs Biomed. 221 (2022)
Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger
The HoloLens in Medicine: A systematic Review and Taxonomy. CoRR (2022)
Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C. Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Bjoern H. Menze
Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs. GeoMedIA (2022)
Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek
Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare. CoRR (2022)
Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training. CoRR (2022)
Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. CoRR (2022)
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. CoRR (2022)
Lars Heiliger, Zdravko Marinov, André Ferreira, Jana Fragemann, Jacob Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier. CoRR (2022)
Jianning Li, Jana Fragemann, Seyed-Ahmad Ahmadi, Jens Kleesiek, Jan Egger
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder. MAD@MICCAI (2022)
Constantin Marc Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. BMVC (2022)
Constantin Marc Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. AAAI (2022)
Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. CoRR (2022)
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. CoRR (2022)
Oliver Ester, Fabian Hörst, Constantin Seibold, Julius Keyl, Saskia Ting, Nikolaos Vasileiadis, Jessica Schmitz, Philipp Ivanyi, Viktor Grünwald, Jan Hinrich Bräsen, Jan Egger, Jens Kleesiek
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology. CoRR (2022)
Marvin Schmidt, Sebastian Gebauer, Annette Bartholmes, Dennis Kadioglu, Jens Kleesiek, Bernd Hamm, Thomas J. Vogl, Tobias Penzkofer, Andreas Michael Bucher, Holger Storf
CODEX Meets RACOON - A Concept for Collaborative Documentation of Clinical and Radiological COVID-19 Data. GMDS (2022)
Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR (2022)
Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. CoRR (2022)
Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR (2022)
Maximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein
Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. MOVI@MICCAI (2022)
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
Open-Source Skull Reconstruction with MONAI. CoRR (2022)
André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
GAN-based generation of realistic 3D data: A systematic review and taxonomy. CoRR (2022)
Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism. CoRR (2021)
Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Hanno Gao, Peter F. Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus H. Maier-Hein
Abstract: Joint Imaging Platform for Federated Clinical Data Analytics. Bildverarbeitung für die Medizin (2021)
Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jens Kleesiek, Alejandro F. Frangi, Jan Egger
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. CoRR (2021)
Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation. CoRR (2021)
Gabriel Alexander Salg, Maria-Katharina Ganten, Andreas Michael Bucher, Hannes Götz Kenngott, Matthias A. Fink, Constantin Seibold, Ricarda Fischbach, Kai Schlamp, Carlos Alberto Velandia, Philipp Fervers, Felix Doellinger, Anna Luger, Saif Afat, Uta Merle, Markus K. Diener, Philippe L. Pereira, Tobias Penzkofer, Thorsten Persigehl, Ahmed Othman, Claus Peter Heußel, Matthias Baumhauer, Gerlig Widmann, Konstantinos Stathopoulos, Bernd Hamm, Thomas J. Vogl, Konstantin Nikolaou, Hans-Ulrich Kauczor, Jens Kleesiek
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data. npj Digit. Medicine 4 (2021)
Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone
A Relational-Learning Perspective To Multi-Label Chest X-Ray Classification. ISBI (2021)
Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. CoRR (2021)
Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas
The Federated Tumor Segmentation (FeTS) Challenge. CoRR (2021)
Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
Common Limitations of Image Processing Metrics: A Picture Story. CoRR (2021)
Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone
A Relational-learning Perspective to Multi-label Chest X-ray Classification. CoRR (2021)
Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek
Prediction of Low-Kev Monochromatic Images From Polyenergetic CT Scans For Improved Automatic Detection of Pulmonary Embolism. ISBI (2021)
Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen
Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. ACCV (5) (2020)
Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. CoRR (2020)
Tobias Stein, Jasmin Metzger, Jonas Scherer, Fabian Isensee, Tobias Norajitra, Jens Kleesiek, Klaus H. Maier-Hein, Marco Nolden
Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images. Bildverarbeitung für die Medizin (2019)
Jens Kleesiek, Gregor Urban, Alexander Hubert, Daniel Schwarz, Klaus H. Maier-Hein, Martin Bendszus, Armin Biller
Deep MRI brain extraction: A 3D convolutional neural network for skull stripping. NeuroImage 129 (2016)
Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. IEEE Trans. Medical Imaging 35 (1) (2016)
Jens Kleesiek, Armin Biller, Andreas J. Bartsch, Kai Ueltzhöffer
Crutchfield Information Metric: A Valid Tool for Quality Control of Multiparametric MRI Data? BIOSTEC (Selected Papers) (2015)
Jens Kleesiek, Armin Biller, Kai Ueltzhöffer
Crutchfield Information Metric for Quantifying the Inter-sequence Relationship of Multiparametric MRI Data. BIOIMAGING (2015)
Jens Kleesiek, Stephanie Badde, Stefan Wermter, Andreas K. Engel
What do Objects Feel Like? - Active Perception for a Humanoid Robot. ICAART (1) (2012)
Jens Kleesiek, Stephanie Badde, Stefan Wermter, Andreas K. Engel
Action-Driven Perception for a Humanoid. ICAART (Revised Selected Papers) (2012)

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Jens Kleesiek