| Cellular and molecular probing of intact human organs S Zhao, MI Todorov, R Cai, AIM Rami, H Steinke, E Kemter, H Mai, ... Cell 180 (4), 796-812. e19, 2020 | 252 | 2020 |
| Spatial proteomics in three-dimensional intact specimens HS Bhatia, AD Brunner, F Öztürk, S Kapoor, Z Rong, H Mai, M Thielert, ... Cell 185 (26), 5040-5058. e19, 2022 | 62 | 2022 |
| Whole-body cellular mapping in mouse using standard IgG antibodies H Mai, J Luo, L Hoeher, R Al-Maskari, I Horvath, Y Chen, F Kofler, ... Nature Biotechnology 42 (4), 617-627, 2024 | 49 | 2024 |
| Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra K Yang, F Musio, Y Ma, N Juchler, JC Paetzold, R Al-Maskari, L Höher, ... ArXiv, 2023 | 16 | 2023 |
| Metgan: Generative tumour inpainting and modality synthesis in light sheet microscopy I Horvath, J Paetzold, O Schoppe, R Al-Maskari, I Ezhov, S Shit, H Li, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 11 | 2022 |
| Transfer learning from synthetic data reduces need for labels to segment brain vasculature and neural pathways in 3d JC Paetzold, O Schoppe, R Al-Maskari, G Tetteh, V Efremov, MI Todorov, ... | 11 | 2019 |
| Virtual reality-empowered deep-learning analysis of brain cells D Kaltenecker, R Al-Maskari, M Negwer, L Hoeher, F Kofler, S Zhao, ... Nature Methods, 1-10, 2024 | 10 | 2024 |
| blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation F Kofler, S Shit, I Ezhov, L Fidon, I Horvath, R Al-Maskari, HB Li, H Bhatia, ... International Conference on Information Processing in Medical Imaging, 755-767, 2023 | 10 | 2023 |
| Proteomics of spatially identified tissues in whole organs HS Bhatia, AD Brunner, Z Rong, H Mai, M Thielert, R Al-Maskari, ... BioRxiv, 2021.11. 02.466753, 2021 | 9 | 2021 |
| Whole mouse body histology using standard IgG antibodies H Mai, J Luo, L Hoeher, R Al-Maskari, I Horvath, JC Paetzold, M Todorov, ... bioRxiv, 2023.02. 17.528921, 2023 | 7 | 2023 |
| Approaching peak ground truth F Kofler, J Wahle, I Ezhov, SJ Wagner, R Al-Maskari, E Gryska, M Todorov, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-6, 2023 | 5 | 2023 |
| Panoptica--instance-wise evaluation of 3D semantic and instance segmentation maps F Kofler, H Möller, JA Buchner, E de la Rosa, I Ezhov, M Rosier, I Mekki, ... arXiv preprint arXiv:2312.02608, 2023 | 4 | 2023 |
| Deep Learning and 3D Imaging Reveal Whole-Body Alterations in Obesity D Kaltenecker, I Horvath, R Al-Maskari, ZI Kolabas, Y Chen, L Hoeher, ... bioRxiv, 2024.08. 18.608300, 2024 | 1 | 2024 |
| On the pitfalls of deep image segmentation for lightsheet microscopy R Al-Maskari, JC Paetzold, I Horvath, A Erturk Medical Imaging with Deep Learning, 2021 | 1 | 2021 |
| Virtual reality empowered deep learning analysis of brain activity D Kaltenecker, R Al-Maskari, M Negwer, L Hoeher, F Kofler, S Zhao, ... bioRxiv, 2023.05. 18.540970, 2023 | | 2023 |
| MetGAN-based Data Augmentation for Improved Metastasis Segmentation in Light-Sheet Microscopy I Horvath, JC Paetzold, R Al-Maskari, A Ertürk, BH Menze | | 2022 |
| VALDO challenge submission-task 2: dawai blob loss for microbleeds segmentation benchmark FS Kofler, S Shit, I Ezhov, I Horvath, R Al-Maskari, J Kirschke, C Zimmer, ... | | |
| VALDO challenge submission-task 3-dawai. blob loss for lacune segmentation benchmark FS Kofler, I Ezhov, I Horvath, R Al-Maskari, S Shit, J Kirschke, C Zimmer, ... | | |
