Klaus H. Maier-Hein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
61
Venues
7
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
61 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging. | Maximilian Rokuss, Yannick Kirchhoff, Seval Akbal, Balint Kovacs, Saikat Roy, Constantin Ulrich, Tassilo Wald, Lukas T. Rotkopf, Heinz-Peter Schlemmer, Klaus H. Maier-Hein |
| 2025 | CVPR | Revisiting MAE Pre-training for 3D Medical Image Segmentation. | Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei Goncharov, Alberto Paderno, Maximilian Miller, Leander Maerkisch, Paul F. Jaeger, Klaus H. Maier-Hein |
| 2025 | ICLR | ReSi: A Comprehensive Benchmark for Representational Similarity Measures. | Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus H. Maier-Hein, Markus Strohmaier, Florian Lemmerich |
| 2025 | MICCAI | The Missing Piece: A Case for Pre-training in 3D Medical Object Detection. | Katharina Eckstein, Constantin Ulrich, Michael Baumgartner, Jessica Kchele, Dimitrios Bounias, Tassilo Wald, Ralf Floca, Klaus H. Maier-Hein |
| 2025 | MICCAI | Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation. | Karol Gotkowski, Klaus H. Maier-Hein, Fabian Isensee |
| 2025 | MICCAI | On Tackling Domain Shift in Breast MRI Using Only Publicly-Available Data: Reproducible Breast Cancer Segmentation and pCR Prediction. | Jessica Kchele, Dimitrios Bounias, Alexandra Ertl, Klaus H. Maier-Hein |
| 2025 | MICCAI | Cross-Modality Supervised Prostate Segmentation on CBCT for Adaptive Radiotherapy. | Balint Kovacs, Goran Stanic, Fabian Weykamp, Florian Ebert, Dimitrios Bounias, Bouchra Tawk, Martin Niklas, Jakob Liermann, Oliver Jkel, Klaus H. Maier-Hein, Ralf Floca, Kristina Giske |
| 2025 | WACV | Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect Analysis. | Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein |
| 2024 | CVPR | Segment Anything in Medical Images with nnUNet. | Raphael Stock, Yannick Kirchhoff, Maximilian Rokuss, Ashis Ravindran, Klaus H. Maier-Hein |
| 2024 | ECCV | Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. | Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein |
| 2024 | ICLR | ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation. | Kim-Celine Kahl, Carsten T. Lth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger |
| 2024 | MICCAI | Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series. | Nico Disch, Robin Peretzke, Saikat Roy, Constantin Ulrich, David Zimmerer, Rainer Stiefelhagen, Jens Kleesiek, Klaus H. Maier-Hein |
| 2024 | MICCAI | Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution. | Maximilian Fischer, Peter Neher, Tassilo Wald, Silvia Dias Almeida, Shuhan Xiao, Peter J. Schffler, Rickmer Braren, Michael Gtz, Alexander Muckenhuber, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein |
| 2024 | MICCAI | Scaling nnU-Net for CBCT Segmentation. | Fabian Isensee, Yannick Kirchhoff, Lars Krmer, Maximilian Rokuss, Constantin Ulrich, Klaus H. Maier-Hein |
| 2024 | MICCAI | nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. | Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jger |
| 2024 | MICCAI | Evaluating Pretraining Strategies for OCT-Based Macular Degeneration Classification. | Jessica Kchele, Robin Peretzke, Alexandra Ertl, Maximilian Fischer, Marlin Hanstein, Florian M. Hauptmann, Dimitrios Bounias, Marco Nolden, Peter Neher, Klaus H. Maier-Hein |
| 2024 | MICCAI | Enhanced nnU-Net Architectures for Automated MRI Segmentation of Head and Neck Tumors in Adaptive Radiation Therapy. | Jessica Kchele, Maximilian Zenk, Maximilian Rokuss, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein |
| 2024 | MICCAI | Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net. | Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee |
| 2024 | MICCAI | Efficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND Descriptors. | Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee |
| 2024 | MICCAI | Optimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ Segmentation. | Yannick Kirchhoff, Ashis Ravindran, Maximilian Rokuss, Benjamin Hamm, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee |
| 2024 | MICCAI | Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting. | Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Stefan Denner, Fabian Isensee, Philipp Vollmuth, Jens Kleesiek, Klaus H. Maier-Hein |
| 2024 | MICCAI | Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images. | David Zimmerer, Klaus H. Maier-Hein |
| 2024 | WACV | RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. | Gregor Khler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jrg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein |
| 2023 | CVPR | Why is the Winner the Best? | Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulm, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martn-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rdsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brngel, J. Cho, C. Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, lvaro Garca-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, lodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hlne Urien, Joo L. Vilaa, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jger, Annette Kopp-Schneider, Lena Maier-Hein |
| 2023 | MICCAI | cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations. | Silvia Dias Almeida, Carsten T. Lth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jger, Claus Peter Heussel, Jrgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein |
| 2023 | MICCAI | RPTK: The Role of Feature Computation on Prediction Performance. | Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Gtz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heussel, Tobias Norajitra |
| 2023 | MICCAI | Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. | Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein |
| 2023 | MICCAI | Shape-Based Pose Estimation for Automatic Standard Views of the Knee. | Lisa Kausch, Sarina Thomas, Holger Kunze, Jan Siad El Barbari, Klaus H. Maier-Hein |
| 2023 | MICCAI | Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. | Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Goertz, Viktoria Schuetz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein |
| 2023 | MICCAI | atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning. | Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher |
| 2023 | MICCAI | MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. | Saikat Roy, Gregor Khler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jger, Klaus H. Maier-Hein |
| 2023 | MICCAI | MultiTalent: A Multi-dataset Approach to Medical Image Segmentation. | Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein |
| 2022 | BMVC | Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding. | Constantin Marc Seibold, Simon Rei, M. Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon-Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen |
| 2022 | MICCAI | Accurate Detection of Mediastinal Lesions with nnDetection. | Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein |
| 2022 | MICCAI | Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. | Maximilian Fischer, Peter Neher, Michael Gtz, Shuhan Xiao, Silvia Dias Almeida, Peter J. Schffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein |
| 2022 | MICCAI | Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana. | Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein |
| 2022 | MICCAI | A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation. | Gregor Khler, Fabian Isensee, Klaus H. Maier-Hein |
| 2021 | MICCAI | nnDetection: A Self-configuring Method for Medical Object Detection. | Michael Baumgartner, Paul F. Jger, Fabian Isensee, Klaus H. Maier-Hein |
| 2021 | MICCAI | C-Arm Positioning for Spinal Standard Projections in Different Intra-operative Settings. | Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, Andr Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein |
| 2021 | MICCAI | Continuous-Time Deep Glioma Growth Models. | Jens Petersen, Fabian Isensee, Gregor Khler, Paul F. Jger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jrgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein |
| 2021 | UAI | GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. | Jens Petersen, Gregor Khler, David Zimmerer, Fabian Isensee, Paul F. Jger, Klaus H. Maier-Hein |
| 2020 | MICCAI | Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI. | Peter M. Full, Fabian Isensee, Paul F. Jger, Klaus H. Maier-Hein |
| 2019 | MICCAI | Deep Probabilistic Modeling of Glioma Growth. | Jens Petersen, Paul F. Jger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jrgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein |
| 2019 | MICCAI | Reg R-CNN: Lesion Detection and Grading Under Noisy Labels. | Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein |
| 2019 | MICCAI | Unsupervised Anomaly Localization Using Variational Auto-Encoders. | David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein |
| 2018 | MICCAI | No New-Net. | Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein |
| 2018 | MICCAI | Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images. | Jennifer Kamphenkel, Paul F. Jger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Knig, Klaus H. Maier-Hein |
| 2018 | MICCAI | Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. | Peter F. Neher, Bram Stieltjes, Klaus H. Maier-Hein |
| 2018 | MICCAI | Tract Orientation Mapping for Bundle-Specific Tractography. | Jakob Wasserthal, Peter F. Neher, Klaus H. Maier-Hein |
| 2017 | MICCAI | Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. | Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein |
| 2017 | MICCAI | Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. | Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein |
| 2017 | MICCAI | Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. | Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein |
| 2017 | MICCAI | Learn to Track: Deep Learning for Tractography. | Philippe Poulin, Marc-Alexandre Ct, Jean-Christophe Houde, Laurent Petit, Peter F. Neher, Klaus H. Maier-Hein, Hugo Larochelle, Maxime Descoteaux |
| 2017 | MICCAI | Physiological Parameter Estimation from Multispectral Images Unleashed. | Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Gtz Kenngott, Sara Moccia, Michael Gtz, Benjamin F. B. Mayer, Klaus H. Maier-Hein, Daniel S. Elson, Lena Maier-Hein |
| 2016 | MICCAI | Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. | Lena Maier-Hein, Tobias Ro, Janek Grhl, Ben Glocker, Sebastian Bodenstedt, Christian Stock, Eric Heim, Michael Gtz, Sebastian J. Wirkert, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein |
| 2015 | MICCAI | Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. | Michael Gtz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein |
| 2015 | MICCAI | A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. | Peter F. Neher, Michael Gtz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein |
| 2013 | MICCAI | Global Changes in the Connectome in Autism Spectrum Disorders. | Caspar J. Goch, Basak Oztan, Bram Stieltjes, Romy Henze, Jan Hering, Luise Poustka, Hans-Peter Meinzer, Blent Yener, Klaus H. Maier-Hein |
| 2013 | MICCAI | A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging. | Jan Hering, Ivo Wolf, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein |
| 2013 | MICCAI | Fiberfox: An Extensible System for Generating Realistic White Matter Software Phantoms. | Peter F. Neher, Frederik B. Laun, Bram Stieltjes, Klaus H. Maier-Hein |
| 2013 | MICCAI | Model-Based Super-Resolution of Diffusion MRI. | Alexandra Tobisch, Peter F. Neher, Matthew C. Rowe, Klaus H. Maier-Hein, Hui Zhang |