| Distance-based detection of out-of-distribution silent failures for covid-19 lung lesion segmentation C González, K Gotkowski, M Fuchs, A Bucher, A Dadras, R Fischbach, ... Medical image analysis 82, 102596, 2022 | 32 | 2022 |
| Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study Y Tolkach, LM Wolgast, A Damanakis, A Pryalukhin, S Schallenberg, ... The Lancet Digital Health 5 (5), e265-e275, 2023 | 16 | 2023 |
| Practical uncertainty quantification for brain tumor segmentation M Fuchs, C Gonzalez, A Mukhopadhyay Medical Imaging with Deep Learning, 2021 | 16 | 2021 |
| Federated stain normalization for computational pathology N Wagner, M Fuchs, Y Tolkach, A Mukhopadhyay International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 12 | 2022 |
| Artificial intelligence-based tool for tumor detection and quantitative tissue analysis in colorectal specimens J Griem, ML Eich, S Schallenberg, A Pryalukhin, A Bychkov, J Fukuoka, ... Modern Pathology 36 (12), 100327, 2023 | 7 | 2023 |
| Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models Y Frisch, M Fuchs, A Sanner, FA Ucar, M Frenzel, J Wasielica-Poslednik, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 7 | 2023 |
| Exploring sam ablations for enhancing medical segmentation in radiology and pathology A Ranem, N Babendererde, M Fuchs, A Mukhopadhyay arXiv preprint arXiv:2310.00504, 2023 | 5 | 2023 |
| Closing the loop for AI-ready radiology M Fuchs, C Gonzalez, Y Frisch, P Hahn, P Matthies, M Gruening, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2024 | 3 | 2024 |
| FrOoDo: Framework for Out-of-Distribution Detection J Stieber, M Fuchs, A Mukhopadhyay arXiv e-prints, 2022 | 3 | 2022 |
| Jointly exploring client drift and catastrophic forgetting in dynamic learning N Babendererde, M Fuchs, C Gonzalez, Y Tolkach, A Mukhopadhyay arXiv preprint arXiv:2309.00688, 2023 | 2 | 2023 |
| Preoperative planning for guidewires employing shape-regularized segmentation and optimized trajectories J Fauser, M Fuchs, A Ghazy, B Dorweiler, A Mukhopadhyay OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019 | 2 | 2019 |
| Temporally consistent sequence-to-sequence translation of cataract surgeries Y Frisch, M Fuchs, A Mukhopadhyay International Journal of Computer Assisted Radiology and Surgery 18 (7 …, 2023 | 1 | 2023 |
| Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology M Fuchs, M Konstantin, N Schrade, L Schweizer, Y Tolkach, ... IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| Navigating the Unknowns of Medical Imaging M Fuchs | | 2024 |
| HARP: Unsupervised Histopathology Artifact Restoration M Fuchs, SKR Sivakumar, M Schöber, N Woltering, ML Eich, L Schweizer, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning M Konstantin, M Fuchs, A Mukhopadhyay Medical Imaging with Deep Learning, 2024 | | 2024 |
| From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models C Harder, M Fuchs, Y Tolkach, A Mukhopadhyay arXiv preprint arXiv:2310.16695, 2023 | | 2023 |
| UnCLe SAM: Unleashing SAM’s Potential for Continual Prostate MRI Segmentation A Ranem, MAM Aflal, M Fuchs, A Mukhopadhyay Medical Imaging with Deep Learning, 0 | | |
Anirban MukhopadhyayTU DarmstadtVerified email at gris.tu-darmstadt.de
