| 2025 | AISTATS | M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling. | Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Matteo Wohlrapp, Emilio Dorigatti, Carla Feistner, Felix Drost, Daniele Scarcella, Lisa Beer, Carsten Marr |
| 2025 | ICCV | CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics. | Jan Carreras Boada, Rao Muhammad Umer, Carsten Marr |
| 2025 | ICML | Feature Importance Metrics in the Presence of Missing Data. | Henrik von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr |
| 2025 | MICCAI | CytoSAE: Interpretable Cell Embeddings for Hematology. | Muhammed Furkan Dasdelen, Hyesu Lim, Michle Buck, Katharina S. Gtze, Carsten Marr, Steffen Schneider |
| 2025 | MICCAI | Neural Cellular Automata for Weakly Supervised Segmentation of White Blood Cells. | Michael Deutges, Chen Yang, Raheleh Salehi, Nassir Navab, Carsten Marr, Ario Sadafi |
| 2025 | MICCAI | Continual Multiple Instance Learning for Hematologic Disease Diagnosis. | Zahra Ebrahimi, Raheleh Salehi, Nassir Navab, Carsten Marr, Ario Sadafi |
| 2025 | MICCAI | RedDino: A Foundation Model for Red Blood Cell Analysis. | Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Carsten Marr |
| 2024 | MICCAI | Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images. | Michael Deutges, Ario Sadafi, Nassir Navab, Carsten Marr |
| 2024 | MICCAI | DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. | Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr |
| 2023 | MICCAI | BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. | Yu Liu, Gesine Mller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng |
| 2023 | MICCAI | A Continual Learning Approach for Cross-Domain White Blood Cell Classification. | Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr |
| 2022 | ICANN | Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification. | Sayedali Shetab Boushehri, Ahmad Bin Qasim, Dominik Jens Elias Waibel, Fabian Schmich, Carsten Marr |
| 2022 | MICCAI | Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. | Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr |
| 2022 | MICCAI | DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy. | Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng |
| 2022 | MICCAI | Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. | Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr |
| 2022 | MICCAI | Capturing Shape Information with Multi-scale Topological Loss Terms for 3D Reconstruction. | Dominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck |
| 2021 | MICCAI | Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. | Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr |
| 2021 | MICCAI | Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. | Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng |
| 2020 | MICCAI | Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground. | Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder, Carsten Marr |
| 2020 | MICCAI | Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. | Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr |
| 2019 | ICANN | Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net. | Manish Mishra, Sabine Schmitt, Hans Zischka, Michael K. Strasser, Nassir Navab, Carsten Marr, Tingying Peng |
| 2019 | ICANN | Evaluation of Domain Adaptation Approaches for Robust Classification of Heterogeneous Biological Data Sets. | Michael Schneider, Lichao Wang, Carsten Marr |
| 2019 | ICANN | In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning. | Dominik Jens Elias Waibel, Ulf Tiemann, Valerio Lupperger, Henrik Semb, Carsten Marr |
| 2019 | MICCAI | Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval. | Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr |
| 2019 | MICCAI | Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. | Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng |