フォロー
Rami Al-Maskari
Rami Al-Maskari
Ph.D. Student of Computer Science, Technical University of Munich, Helmholtz Zentrum München
確認したメール アドレス: tum.de
タイトル
引用先
引用先
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
2572020
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
672022
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
592024
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, arXiv: 2312.17670 v3, 2024
202024
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
142024
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
122022
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
112023
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, ...
112019
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
92021
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
72023
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
52023
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
52023
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
22021
Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning
J Luo, M Molbay, Y Chen, I Horvath, K Kadletz, B Kick, S Zhao, ...
Nature Biotechnology, 1-14, 2025
12025
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
12024
SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation
Y Chen, R Al-Maskari, I Horvath, M Ali, L Höher, K Yang, Z Lin, Z Zhai, ...
arXiv preprint arXiv:2501.03880, 2025
2025
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, ...
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20