Mehdi Naouar
Preprints
- Yannick Vogt, Mehdi Naouar, Maria Kalweit, Cornelius Miething, Justus Duyster, Joschka Boedecker and Gabriel Kalweit. BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design. arxiv
- Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Metzger, Joschka Boedecker, Maria Kalweit Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. arxiv
Publications
2025
- Mehdi Naouar, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, and Maria Kalweit. One for All: A Unified Approach to Classification and Self-Explanation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025. web
- Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit and Maria Kalweit. Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification. ICLR 2025. web
- Jens Rahnfeld*, Mehdi Naouar*, Gabriel Kalweit*, Joschka Boedecker, Estelle Dubruc and Maria Kalweit. A Comparative Study of Explainability Methods for Whole Slide Classification of Lymph Node Metastases using Vision Transformers. PLOS Digital Health. web
- Gabriel Kalweit, Anusha Klett, Paula Silvestrini, Jens Rahnfeld, Mehdi Naouar, Yannick Vogt, Diana Infante, Rebecca Berger, Jesus Duque-Afonso, Tanja Nicole Hartmann, Marie Follo, Elitsa Bodurova-Spassova, Michael Lübbert, Roland Mertelsmann, Joschka Boedecker, Evelyn Ullrich, Maria Kalweit Leveraging a foundation model zoo for cell similarity search in oncological microscopy across devices. Frontiers in Oncology
2024
- Paul Schmidt-Barbo, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiss, Bruno Markl, Stefan Dirnhofer, Alexandar Tzankov, Mascha Binder and Maria Kalweit. Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning. In PLOS Computational Biology.
- Gabriel Kalweit, Anusha Klett, Mehdi Naouar, Jens Rahnfeld, Yannick Vogt, Diana Laura Infante Ramirez, Rebecca Berger, Jesus Duque Afonso, Tanja Nicole Hartmann, Marie Follo, Michael Luebbert, Roland Mertelsmann, Evelyn Ullrich, Joschka Boedecker and Maria Kalweit. Unsupervised Feature Extraction from a Foundation Model Zoo for Cell Similarity Search in Oncological Microscopy Across Devices. Accepted at the ICML 2024 Workshop on Foundation Models in the Wild.
2023
- Matthias Heizmann, Max Barth, Daniel Dietsch, Leonard Fichtner, Jochen Hoenicke, Dominik Klumpp, Mehdi Naouar, Tanja Schindler, Frank Schüssele, Andreas Podelski Ultimate Automizer and the CommuHash Normal Form. TACAS 2023. web
- Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Infante, Roland Mertelsmann, Joschka Boedecker and Maria Kalweit. CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. NeurIPS 2023 Workshop on Medical Imaging. arxiv
- Yannick Vogt, Mehdi Naouar, Maria Kalweit, Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit and Joschka Boedecker. Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design. NeurIPS 2023 Workshop on Machine Learning in Structural Biology. arxiv
2022
- Silvio Galesso, Maria Alejandra Bravo, Mehdi Naouar, Thomas Brox. Probing Contextual Diversity for Dense Out-of-Distribution Detection. ECCV 2022 Workshop on Safe Artificial Intelligence for Automated Driving. arxiv
2021
- Daniel Dietsch, Matthias Heizmann, Dominik Klumpp, Mehdi Naouar, Andreas Podelski, Claus Schätzle. Verification of Concurrent Programs Using Petri Net Unfoldings. VMCAI 2021. web
Student Supervisions
- Jens Rahnfeld: Treating Explanation as Diffusion-Like Mask Synthesis
- Jens Rahnfeld: Enhancing Interpretability in Digital Histopathology, together with Maria Kalweit and Gabriel Kalweit
- Tim Krautschneider: Transformer Segmenter based 3D Medical Image Segmentation
- Matthias Eberle: Leveraging vision features from segment anything and DINOv2 for cell classification, together with Maria Kalweit and Gabriel Kalweit
Teaching
- Deep learning Lab (SS2025)
- Seminar on World models (SS2025)
- Seminar on Machine Learning in Health (WS2024/25)
- Seminar on Causality and Reinforcement Learning (SS2024)
- Seminar on Machine Learning in Health (WS2023/24)
- Seminar on Current Works in Deep Reinforcement Learning (SS2023)