Mehdi Naouar
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PhD Student
Research topic: Computer vision in medical imaging Application Areas:
Institut für Informatik |
Preprints
- 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
- Paul Schmidt-Barbo, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiß, Bruno Märkl, Stefan Dirnhofer, Alexandar Tzankov, Mascha Binder and Maria Kalweit Detection of disease-specific signatures in B1 cell repertoires of lymphomas using machine learning. arxiv
Publications
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: 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
- Seminar on Machine Learning in Health (WS2023/24)
- Seminar on Current Works in Deep Reinforcement Learning (SS2023)