Martin Weigert

Orcid: 0000-0002-7780-9057

Affiliations:
  • Technical University of Dresden, Dresden, Germany
  • École Polytechnique Fédérale de Lausanne, EPFL, Institute of Bioengineering, Switzerland (former)
  • Max Planck Institute of Molecular Cell Biology and Genetics, Center for Systems Biology Dresden, Germany (former)
  • TU Dresden, Faculty of Informatik, Germany (PhD 2019)


According to our database1, Martin Weigert authored at least 16 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy.
CoRR, February, 2026

2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Medical Image Anal., February, 2024

TRACKASTRA: Transformer-Based Cell Tracking for Live-Cell Microscopy.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets.
BMC Bioinform., December, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023

Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets.
CoRR, 2023

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Nuclei instance segmentation and classification in histopathology images with StarDist.
CoRR, 2022

2020
Fast and accurate aberration estimation from 3D bead images using convolutional neural networks.
CoRR, 2020

An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics.
CoRR, 2020

Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Removing Structured Noise with Self-Supervised Blind-Spot Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2018
Computational Methods for Visualization, Simulation, and Restoration of Fluorescence Microscopy Data
PhD thesis, 2018

Biobeam - Multiplexed wave-optical simulations of light-sheet microscopy.
PLoS Comput. Biol., 2018

Cell Detection with Star-Convex Polygons.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017


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