Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks. - Martin Weigert 001; Loïc Royer; Florian Jug; Gene Myers (MICCAI (2), 2017)

Cell Detection with Star-Convex Polygons. - Uwe Schmidt; Martin Weigert 001; Coleman Broaddus; Gene Myers (MICCAI (2), 2018)

Biobeam - Multiplexed wave-optical simulations of light-sheet microscopy. - Martin Weigert 001; Kaushikaram Subramanian; Sebastian T. Bundschuh; Eugene W. Myers; Moritz Kreysing (PLoS Comput. Biol., 2018)

Computational Methods for Visualization, Simulation, and Restoration of Fluorescence Microscopy Data - Martin Weigert 001 (2018)

Removing Structured Noise with Self-Supervised Blind-Spot Networks. - Coleman Broaddus; Alexander Krull; Martin Weigert 001; Uwe Schmidt; Gene Myers (ISBI, 2020)

Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. - Martin Weigert 001; Uwe Schmidt; Robert Haase 001; Ko Sugawara; Gene Myers (WACV, 2020)

An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics. - Sarah Schmell; Falk Zakrzewski; Walter de Back; Martin Weigert 001; Uwe Schmidt; Torsten Wenke; Silke Zeugner; Robert Mantey; Christian Sperling; Ingo Roeder; Pia Hoenscheid; Daniela Aust; et al. (CoRR, 2020)

Fast and accurate aberration estimation from 3D bead images using convolutional neural networks. - Debayan Saha; Uwe Schmidt; Qinrong Zhang; Aurelien Barbotin; Qi Hu; Na Ji; Martin J. Booth; Martin Weigert 001; Eugene W. Myers (CoRR, 2020)

Nuclei instance segmentation and classification in histopathology images with StarDist. - Martin Weigert 001; Uwe Schmidt (CoRR, 2022)

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction. - Benjamin Gallusser; Max Stieber; Martin Weigert 001 (MICCAI (8), 2023)

Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets. - Andreas Müller; Deborah Schmidt; Lucas Rieckert; Michele Solimena; Martin Weigert 001 (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets. - Léo Bürgy; Martin Weigert 001; Georgios Hatzopoulos; Matthias Minder; Adrien Journé; Sahand Jamal Rahi; Pierre Gonczy (BMC Bioinform., 2023)

TRACKASTRA: Transformer-Based Cell Tracking for Live-Cell Microscopy. - Benjamin Gallusser; Martin Weigert 001 (ECCV (76), 2024)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)