fhSPECT-US Guided Needle Biopsy of Sentinel Lymph Nodes in the Axilla: Is it Feasible? - Asli Okur; Christoph Hennersperger; Brent Runyan; José Gardiazabal; Matthias Keicher; Stefan Paepke; Thomas Wendler 001; Nassir Navab (MICCAI (1), 2014)

Decision Support for Intoxication Prediction Using Graph Convolutional Networks. - Hendrik Burwinkel; Matthias Keicher; David Bani-Harouni; Tobias Zellner; Florian Eyer; Nassir Navab; Seyed-Ahmad Ahmadi (MICCAI (2), 2020)

TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. - Tobias Czempiel; Magdalini Paschali; Matthias Keicher; Walter Simson; Hubertus Feussner; Seong Tae Kim 001; Nassir Navab (MICCAI (3), 2020)

Continual Class Incremental Learning for CT Thoracic Segmentation. - Abdelrahman Elskhawy; Aneta Lisowska; Matthias Keicher; Joseph Henry; Paul Thomson; Nassir Navab (DART/DCL@MICCAI, 2020)

Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. - Seong Tae Kim 001; Leili Goli; Magdalini Paschali; Ashkan Khakzar; Matthias Keicher; Tobias Czempiel; Egon Burian; Rickmer Braren; Nassir Navab; Thomas Wendler 001 (MICCAI (7), 2021)

GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images. - Aadhithya Sankar; Matthias Keicher; Rami Eisawy; Abhijeet Parida; Franz Pfister; Seong-Tae Kim 001; Nassir Navab (CoRR, 2021)

U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction. - Matthias Keicher; Hendrik Burwinkel; David Bani-Harouni; Magdalini Paschali; Tobias Czempiel; Egon Burian; Marcus R. Makowski; Rickmer Braren; Nassir Navab; Thomas Wendler 001 (CoRR, 2021)

Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. - Adeleh Bitarafan; Mohammad Farid Azampour; Kian Bakhtari; Mahdieh Soleymani Baghshah; Matthias Keicher; Nassir Navab (MICCAI (4), 2022)

Interpretable Vertebral Fracture Diagnosis. - Paul Engstler; Matthias Keicher; David Schinz; Kristina Mach; Alexandra S. Gersing; Sarah C. Foreman; Sophia S. Goller; Juergen Weissinger; Jon Rischewski; Anna-Sophia Dietrich; Benedikt Wiestler; Jan S. Kirschke; et al. (iMIMIC@MICCAI, 2022)

Longitudinal Self-Supervision for COVID-19 Pathology Quantification. - Tobias Czempiel; Coco Rogers; Matthias Keicher; Magdalini Paschali; Rickmer Braren; Egon Burian; Marcus R. Makowski; Nassir Navab; Thomas Wendler 001; Seong Tae Kim 001 (CoRR, 2022)

Few-shot Structured Radiology Report Generation Using Natural Language Prompts. - Matthias Keicher; Kamilia Mullakaeva; Tobias Czempiel; Kristina Mach; Ashkan Khakzar; Nassir Navab (CoRR, 2022)

U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images. - Marcel Kollovieh; Matthias Keicher; Stephan Wunderlich; Hendrik Burwinkel; Thomas Wendler 001; Nassir Navab (CoRR, 2022)

CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN. - Matan Atad; Vitalii Dmytrenko; Yitong Li; Xinyue Zhang; Matthias Keicher; Jan Kirschke; Benedikt Wiestler; Ashkan Khakzar; Nassir Navab (CoRR, 2022)

Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis. - Chantal Pellegrini; Matthias Keicher; Ege Özsoy; Petra Jiraskova; Rickmer Braren; Nassir Navab (MICCAI (5), 2023)

Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting. - Chantal Pellegrini; Matthias Keicher; Ege Özsoy; Nassir Navab (MICCAI (5), 2023)

Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays. - Yiheng Xiong; Jingsong Liu; Kamilia Zaripova; Sahand Sharifzadeh; Matthias Keicher; Nassir Navab (GRAIL/OCELOT@MICCAI, 2023)

FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays. - Matthias Keicher; Kamilia Zaripova; Tobias Czempiel; Kristina Mach; Ashkan Khakzar; Nassir Navab (MIDL, 2023)

Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading. - Matthias Keicher; Matan Atad; David Schinz; Alexandra S. Gersing; Sarah C. Foreman; Sophia S. Goller; Juergen Weissinger; Jon Rischewski; Anna-Sophia Dietrich; Benedikt Wiestler; Jan S. Kirschke; Nassir Navab (CoRR, 2023)

RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance. - Chantal Pellegrini; Ege Özsoy; Benjamin Busam; Nassir Navab; Matthias Keicher (CoRR, 2023)

MAGDA: Multi-agent Guideline-Driven Diagnostic Assistance. - David Bani-Harouni; Nassir Navab; Matthias Keicher (MedAGI@MICCAI, 2024)

ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling. - Ege Özsoy; Chantal Pellegrini; Matthias Keicher; Nassir Navab (MICCAI (6), 2024)

Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis. - Lukas Buess; Marijn F. Stollenga; David Schinz; Benedikt Wiestler; Jan Kirschke; Andreas K. Maier; Nassir Navab; Matthias Keicher (MIDL, 2024)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder. - Matan Atad; David Schinz; Hendrik Kristian Möller; Robert Graf; Benedikt Wiestler; Daniel Rueckert; Nassir Navab; Jan S. Kirschke; Matthias Keicher (CoRR, 2024)

MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments. - Ege Özsoy; Chantal Pellegrini; Tobias Czempiel; Felix Tristram; Kun Yuan 004; David Bani-Harouni; Ulrich Eck; Benjamin Busam; Matthias Keicher; Nassir Navab (CVPR, 2025)

NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks. - Bjørn Leth Møller; Sepideh Amiri; Christian Igel; Kristoffer Knutsen Wickstrøm; Robert Jenssen; Matthias Keicher; Mohammad Farid Azampour; Nassir Navab; Bulat Ibragimov (NLDL, 2025)

Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports. - Su Hwan Kim 007; Severin Schramm; Lisa C. Adams; Rickmer Braren; Keno K. Bressem; Matthias Keicher; Paul-Sören Platzek; Karolin J. Paprottka; Claus Zimmer; Dennis M. Hedderich; Benedikt Wiestler (npj Digit. Medicine, 2025)

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine. - Lukas Buess; Matthias Keicher; Nassir Navab; Andreas K. Maier; Soroosh Tayebi Arasteh (CoRR, 2025)

Rewarding Doubt: A Reinforcement Learning Approach to Confidence Calibration of Large Language Models. - Paul Stangel; David Bani-Harouni; Chantal Pellegrini; Ege Özsoy; Kamilia Zaripova; Matthias Keicher; Nassir Navab (CoRR, 2025)

ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling. - Ege Özsoy; Chantal Pellegrini; David Bani-Harouni; Kun Yuan 004; Matthias Keicher; Nassir Navab (CoRR, 2025)

From EHRs to Patient Pathways: Scalable Modeling of Longitudinal Health Trajectories with LLMs. - Chantal Pellegrini; Ege Özsoy; David Bani-Harouni; Matthias Keicher; Nassir Navab (CoRR, 2025)

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning. - David Bani-Harouni; Chantal Pellegrini; Ege Özsoy; Matthias Keicher; Nassir Navab (CoRR, 2025)