KM
Klaus H. Maier-Hein
cs.CVeess.IVcs.LGDeep Learningcs.AIMagnetic Resonance ImagingDeep learningMRIImage Processing, Computer-AssistedAlgorithms
On Valency
published · living versionsW_m9v2fqa5·v1 · currentpublished
nnInteractive Agent: General-Purpose AI Agents as 3D Image Annotators
with Fabian Isensee, Constantin Ulrich Harsy, Maximilian Rokuss, Benjamin Hamm +1
1 version
W_ctyr365s·v1published
Preprints & journals
327 papers in the corpus · 2013–2026nnInteractive Agent: General-Purpose AI Agents as 3D Image Annotators2610.31080v1 · Fabian Isensee, Constantin Ulrich Harsy, Maximilian Rokuss et al.2026 · 0 citationsarXivon Valency
Arbitrary-Scale Anisotropic 3D MRI Super-Resolution with Gaussian Prototypes2610.24858v2 · Aditya Rastogi, Ramon Leiser, Prateek Singh et al.2026 · 0 citationsarXiv
Efficient Privacy-Preserving Medical Cross-Silo Federated Learning.42837231 · Hamm, Benjamin, Kirchhoff, Yannick, Rokuss, Maximilian et al.2026 · 0 citationsIEEE journal of biomedical and health informatics. 2026;PP
Anguinus Sculpturae: Compositional Synthesis of Peak-Enhancement Breast DCE-MRI Scans2609.33611v1 · Benjamin Hamm, Nico Albert Disch, Maximilian Rokuss et al.2026 · 0 citationsarXiv
Anatomy- and Time-Based Post-Processing with CT Perfusion-Derived Time-Vessel Maps to Reduce Incorrect Occlusion Detections in Late-Phase CT Angiography.42793757 · Martínez Mora, Andrés, Mojtahedi, Mahsa, de Vries, Lucas et al.2026 · 0 citationsDiagnostics (Basel, Switzerland). 2026;16(18)
Privacy Leakage in Federated Learning in Radiology Reports: Comparative Evaluation of Tokenizer and Batch-Size Privacy Risks.42727096 · Parampottupadam, Santhosh, Martínez Mora, Andrés, Bounias, Dimitrios et al.2026 · 0 citationsJMIR medical informatics. 2026;14:e88390
Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection.42671530 · Bujotzek, Markus, Bounias, Dimitrios, Denner, Stefan et al.2026 · 0 citationsJournal of imaging informatics in medicine. 2026
Resolution Meets Reduction: Efficient Visual Context for 3D Radiology Report Generation2608.08713v1 · Jonathan Suprijadi, Raphael Stock, Moritz Langenberg et al.2026 · 0 citationsarXiv
ToothSeg: Robust Tooth Instance Segmentation and Numbering in CBCT Using Deep Learning and Self-Correction.41477803 · Nistelrooij, Niels van, Kramer, Lars, Kempers, Steven et al.2026 · 3 citationsIEEE journal of biomedical and health informatics. 2026;30(8):6801-6812
Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks2607.14205v1 · Santhosh Parampottupadam, Andres Martinez, Dimitrios Bounias et al.2026 · 0 citationsarXiv
GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for F-FDG-PET/CT2607.03931v1 · Maksym Fritsak, Maximilian Rokuss, Hubert S. Gabry's et al.2026 · 0 citationsarXiv
Multi-class segmentation of aortic branches and zones in computed tomography angiography: The AortaSeg24 challenge.42413466 · Imran, Muhammad, Krebs, Jonathan R, Sivaraman, Vishal Balaji et al.2026 · 2 citationsMedical image analysis. 2026;113:104188
Rethinking Post-Hoc Calibration in Semantic Segmentation2607.01902v2 · Tristan Kirscher, Kim-Celine Kahl (DKFZ), Balint Kovacs (DKFZ) et al.2026 · 0 citationsTransactions on Machine Learning Research (2026)
Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.42340187 · Jaiswal, Astha, Rinneburger, Miriam, Meyer, Franziska et al.2026 · 1 citationRadiology. Artificial intelligence. 2026;8(4):e250200
An Open-Source Monitoring Framework for Data Exploration and Progress Tracking in Multi-Center Radiology Studies2606.16861v1 · Markus Bujotzek, Jonas Scherer, Stefan Denner et al.2026 · 0 citationsarXiv
Gut decisions based on the liver: prediction of colorectal neoplasia using AI-based liver analysis of routine CT scans.42318460 · Hinterberger, Anna, Bohn, Jonas, Trofimova, Darya et al.2026 · 0 citationsFrontiers in oncology. 2026;16:1842743
Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking2605.23118v1 · Yannick Kirchhoff, Maximilian Rokuss, Daniel Philipp Mertens et al.2026 · 0 citationsarXiv
Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation2605.18329v2 · Tristan Kirscher, Markus Bujotzek (DKFZ), Yannick Kirchhoff (DKFZ) et al.2026 · 0 citations29th International Conference On Medical Image Computing And Computer Assisted Intervention, Sep 2026, Strasbourg, France
The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization2605.05775v2 · Jakob Dexl, Katharina Jeblick, Andreas Mittermeier et al.2026 · 1 citationarXiv
Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection.42097246 · Kovacs, Balint, Zhang, Kevin Sun, Baumgartner, Michael et al.2026 · 0 citationsMagnetic resonance imaging. 2026;131:110698
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 Challenge.41477796 · Sang, Yudi, Liu, Yanzhen, Yibulayimu, Sutuke et al.2026 · 2 citationsIEEE transactions on medical imaging. 2026;45(5):2212-2228
Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge.42102640 · Bolelli, Federico, Lumetti, Luca, van Nistelrooij, Niels et al.2026 · 3 citationsMedical image analysis. 2026;112:104095
TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation2604.15950v2 · Tristan Kirscher, Alexandra Ertl (DKFZ), Klaus Maier-Hein (DKFZ) et al.2026 · 0 citationsarXiv
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge2604.11679v2 · Asbj\orn Munk, Stefano Cerri, Vardan Nersesjan et al.2026 · 0 citationsarXiv
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance2603.29941v1 · Vanessa Emanuela Guarino, Claudia Winklmayr, Jannik Franzen et al.2026 · 0 citationsarXiv
Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.41865530 · Bai, Jieyun, Zhou, Zihao, Tang, Yitong et al.2026 · 3 citationsMedical image analysis. 2026;111:104043
Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning2603.11827v2 · Robin Peretzke, Marlin Hanstein, Maximilian Fischer et al.2026 · 0 citationsarXiv
Age- and Sex-specific Reference Ranges for Cardiac Function and Structure in Germany: Cardiovascular Magnetic Resonance Imaging (CMR) in the German National Cohort (NAKO)10.64898/2026.03.09.26347892v1 · Schlett, C. L., Schuppert, C., Full, P. M. et al.2026 · 0 citationsmedRxiv
AutoPET Challenge on Fully Automated Lesion Segmentation in Oncologic PET/CT Imaging, Part 2: Domain Generalization.41469162 · Dexl, Jakob, Gatidis, Sergios, Früh, Marcel et al.2026 · 14 citationsJournal of nuclear medicine : official publication, Society of Nuclear Medicine. 2026;67(3):481-488
Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos2602.12922v1 · Jieyun Bai, Zihao Zhou, Yitong Tang et al.2026 · 1 citationarXiv
Radiomics for the Prediction of Postoperative Chronic Kidney Disease in Renal Tumor Patients Undergoing Surgical Resection.41662343 · Holzschuh, Julius C, Bohn, Jonas, Norajitra, Tobias et al.2026 · 0 citationsUrologia internationalis. 2026:1-12
Explainable AI-based analysis of human pancreas sections identifies traits of type 2 diabetes.41663377 · Klein, Lukas, Ziegler, Sebastian, Gerst, Felicia et al.2026 · 6 citationsNature communications. 2026;17(1):1558
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging2601.13677v1 · Carsten T. Luth, Jeremias Traub, Kim-Celine Kahl et al.2026 · 0 citationsarXiv
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge.41564637 · Zalevskyi, Vladyslav, Sanchez, Thomas, Kaandorp, Misha et al.2026 · 6 citationsMedical image analysis. 2026;109:103941
MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation2512.17774v1 · Saikat Roy, Yannick Kirchhoff, Constantin Ulrich et al.2025 · 0 citationsarXiv
Bridging Radiology and Pathology: A DICOM-Based Framework for Multimodal Mapping and Integrated Visualization2601.11558v1 · Nilesh P. Rijhwani, Titus J. Brinker, Peter Neher et al.2025 · 0 citationsarXiv
Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments2512.09644v1 · Unal Akunal, Markus Bujotzek, Stefan Denner et al.2025 · 1 citationarXiv
Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload.40985463 · Bounias, Dimitrios, Simons, Lina, Baumgartner, Michael et al.2025 · 0 citationsJournal of the American Medical Informatics Association : JAMIA. 2025;32(12):1908-1915
Delineating white matter phenotypes of sensori-/psychomotor functioning in large-scale cohorts of healthy individuals and patients with mental disorders across the lifespan (whiteSPAN): rationale and methods of an interdisciplinary bicentric project.41288695 · Hirjak, Dusan, Volkmer, Sebastian, Peretzke, Robin et al.2026 · 0 citationsEuropean archives of psychiatry and clinical neuroscience. 2026;276(3):1073-1085
LINNDA: Lymphoma identification through neural network detection aid.41476950 · Naser, Paul Vincent, Fischer, Maximilian, Maurer, Miriam Cindy et al.2026 · 1 citationiScience. 2025;28(12):114153
Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, confirmatory, observational study.41275871 · Alves, Natalia, Schuurmans, Megan, Rutkowski, Dawid et al.2025 · 26 citationsThe Lancet. Oncology. 2026;27(1):116-124
VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation2511.11450v1 · Maximilian Rokuss, Moritz Langenberg, Yannick Kirchhoff et al.2025 · 0 citationsarXiv
Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores.41188199 · Fischer, Maximilian, Muckenhuber, Alexander, Peretzke, Robin et al.2026 · 4 citationsThe Journal of pathology. 2026;268(1):89-98
u-LINNDA: A protocol for user-optimized lymphoma identification through neural network detection aid.41196676 · Fischer, Maximilian, Maurer, Miriam Cindy, Peretzke, Robin et al.2026 · 2 citationsSTAR protocols. 2025;6(4):104176
Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation.40767616 · Häntze, Hartmut, Xu, Lina, Mertens, Christian J et al.2025 · 16 citationsRadiology. Artificial intelligence. 2025;7(6):e240777
Risk-adjusted training and evaluation for breast cancer detection.41197191 · Bounias, Dimitrios, Baumgartner, Michael, Neher, Peter et al.2025 · 0 citationsComputers in biology and medicine. 2025;198(Pt B):111277
MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI2510.27326v1 · Benjamin Hamm, Yannick Kirchhoff, Maximilian Rokuss et al.2025 · 0 citationsarXiv
Automated AI detection of thoracic aortic dissection on CT imaging.41123773 · Norajitra, Tobias, Baumgartner, Michael A, Cusumano, Lucas R et al.2025 · 3 citationsEuropean radiology experimental. 2025;9(1):102
Comprehensive language-image pre-training for 3D medical image understanding2510.15042v3 · Tassilo Wald, Ibrahim Ethem Hamamci, Yuan Gao et al.2025 · 0 citationsarXiv
Automated radiomics model for prediction of therapy response and minimal residual disease from baseline MRI in multiple myeloma.41073448 · Bauer, Fabian, Hajiyianni, Marina, Weinhold, Niels et al.2025 · 3 citationsScientific reports. 2025;15(1):35400
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