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Mehdi Naouar

mehdi.jpg

PhD Student

 

Research topic: Computer vision in medical imaging       

 Application Areas:

  •  Cell Analysis
  •  Cell Segmentation and Tracking
  •  3D Medical Image Segmentation
  •  Digital Histopathology

 

 

Institut für Informatik
Albert-Ludwigs-Universität
Georges-Koehler-Allee 201
79110 Freiburg im Breisgau

 

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
  • Jens Rahnfeld*Mehdi Naouar*Gabriel Kalweit*Joschka BoedeckerEstelle DubrucMaria Kalweit. A Comparative Study of Explainability Methods for Whole Slide Classification of Lymph Node Metastases using Vision Transformers. arxiv

 

Publications

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: 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 Causality and Reinforcement Learning (SS2024)
  • Seminar on Machine Learning in Health (WS2023/24)
  • Seminar on Current Works in Deep Reinforcement Learning (SS2023)