Martin Weigert
Martin Weigert
Group leader at EPFL
Verified email at
Cited by
Cited by
A liquid-to-solid phase transition of the ALS protein FUS accelerated by disease mutation
A Patel, HO Lee, L Jawerth, S Maharana, M Jahnel, MY Hein, S Stoynov, ...
Cell 162 (5), 1066-1077, 2015
Content-aware image restoration: pushing the limits of fluorescence microscopy
M Weigert, U Schmidt, T Boothe, A Müller, A Dibrov, A Jain, B Wilhelm, ...
Nature methods 15 (12), 1090-1097, 2018
Cell detection with star-convex polygons
U Schmidt, M Weigert, C Broaddus, G Myers
International Conference on Medical Image Computing and Computer-Assisted …, 2018
ClearVolume: open-source live 3D visualization for light-sheet microscopy
LA Royer, M Weigert, U Günther, N Maghelli, F Jug, IF Sbalzarini, ...
Nature methods 12 (6), 480-481, 2015
Differential lateral and basal tension drive folding of Drosophila wing discs through two distinct mechanisms
L Sui, S Alt, M Weigert, N Dye, S Eaton, F Jug, EW Myers, F Jülicher, ...
Nature communications 9 (1), 1-13, 2018
Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks
M Weigert, L Royer, F Jug, G Myers
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Star-convex polyhedra for 3d object detection and segmentation in microscopy
M Weigert, U Schmidt, R Haase, K Sugawara, G Myers
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
CLIJ: GPU-accelerated image processing for everyone
R Haase, LA Royer, P Steinbach, D Schmidt, A Dibrov, U Schmidt, ...
Nature methods 17 (1), 5-6, 2020
Biobeam—Multiplexed wave-optical simulations of light-sheet microscopy
M Weigert, K Subramanian, ST Bundschuh, EW Myers, M Kreysing
PLoS computational biology 14 (4), e1006079, 2018
Automated detection of the HER2 gene amplification status in Fluorescence in situ hybridization images for the diagnostics of cancer tissues
F Zakrzewski, W de Back, M Weigert, T Wenke, S Zeugner, R Mantey, ...
Scientific reports 9 (1), 1-12, 2019
Removing structured noise with self-supervised blind-spot networks
C Broaddus, A Krull, M Weigert, U Schmidt, G Myers
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 159-163, 2020
A convolutional neural network segments yeast microscopy images with high accuracy
N Dietler, M Minder, V Gligorovski, AM Economou, DAHL Joly, A Sadeghi, ...
Nature communications 11 (1), 1-8, 2020
Practical sensorless aberration estimation for 3D microscopy with deep learning
D Saha, U Schmidt, Q Zhang, A Barbotin, Q Hu, N Ji, MJ Booth, M Weigert, ...
Optics Express 28 (20), 29044-29053, 2020
3D FIB-SEM reconstruction of microtubule–organelle interaction in whole primary mouse β cells
A Müller, D Schmidt, CS Xu, S Pang, JV D’Costa, S Kretschmar, ...
Journal of Cell Biology 220 (2), 2021
Rod nuclear architecture determines contrast transmission of the retina and behavioral sensitivity in mice
K Subramanian, M Weigert, O Borsch, H Petzold, A Garcia-Ulloa, ...
ELife 8, e49542, 2019
Deep learning-enhanced light-field imaging with continuous validation
N Wagner, F Beuttenmueller, N Norlin, J Gierten, J Wittbrodt, M Weigert, ...
BioRxiv, 2020
Bidirectional neuronal migration coordinates retinal morphogenesis by preventing spatial competition
M Rocha-Martins, J Kretzschmar, E Nerli, M Weigert, J Icha, EW Myers, ...
bioRxiv, 2021
A Deep Learning-Based Pipeline for The Automation of the HER2 Gene Amplification Status Detection on Digitalized Whole Fluorescence in Situ Hybridization (Fish) Slides in …
F Zakrzewski, S Schmell, W De Back, M Weigert, T Wenke, S Zeugner, ...
Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features
Q Juppet, F De Martino, M Weigert, O Burri, M Unser, C Brisken, D Sage
bioRxiv, 2020
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics
GB Sarah Schmell, Falk Zakrzewski, Walter de Back, Martin Weigert, Uwe ...
Medical Imaging with Deep Learning (MIDL), 2020
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