Martin Weigert

21 papers A 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy. CoRR Albert Dominguez Mantes, Gioele La Manno, Martin Weigert
2024	J	`jnl`	CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2024	—	`conf`	TRACKASTRA: Transformer-Based Cell Tracking for Live-Cell Microscopy. ECCV (76) Benjamin Gallusser, Martin Weigert
2024	J	`jnl`	Trackastra: Transformer-based cell tracking for live-cell microscopy. CoRR Benjamin Gallusser, Martin Weigert
2023	J	`jnl`	CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets. BMC Bioinform. Léo Bürgy, Martin Weigert, Georgios Hatzopoulos, Matthias Minder, Adrien Journé, Sahand Jamal Rahi, Pierre Gonczy
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	J	`jnl`	Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets. CoRR Andreas Müller, Deborah Schmidt, Lucas Rieckert, Michele Solimena, Martin Weigert
2023	—	`conf`	Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction. MICCAI (8) Benjamin Gallusser, Max Stieber, Martin Weigert
2023	J	`jnl`	Self-supervised dense representation learning for live-cell microscopy with time arrow prediction. CoRR Benjamin Gallusser, Max Stieber, Martin Weigert
2022	J	`jnl`	Nuclei instance segmentation and classification in histopathology images with StarDist. CoRR Martin Weigert, Uwe Schmidt
2020	J	`jnl`	An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics. CoRR Sarah Schmell, Falk Zakrzewski, Walter de Back, Martin Weigert, Uwe Schmidt, Torsten Wenke, Silke Zeugner, Robert Mantey, Christian Sperling, Ingo Roeder, Pia Hoenscheid, Daniela Aust, Gustavo Baretton
2020	J	`jnl`	Fast and accurate aberration estimation from 3D bead images using convolutional neural networks. CoRR Debayan Saha, Uwe Schmidt, Qinrong Zhang, Aurelien Barbotin, Qi Hu, Na Ji, Martin J. Booth, Martin Weigert, Eugene W. Myers
2020	—	`conf`	Removing Structured Noise with Self-Supervised Blind-Spot Networks. ISBI Coleman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers
2020	A	`conf`	Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. WACV Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers
2019	J	`jnl`	Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. CoRR Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers
2018	J	`jnl`	Biobeam - Multiplexed wave-optical simulations of light-sheet microscopy. PLoS Comput. Biol. Martin Weigert, Kaushikaram Subramanian, Sebastian T. Bundschuh, Eugene W. Myers, Moritz Kreysing
2018	—	`conf`	Cell Detection with Star-Convex Polygons. MICCAI (2) Uwe Schmidt, Martin Weigert, Coleman Broaddus, Gene Myers
2018	J	`jnl`	Cell Detection with Star-convex Polygons. CoRR Uwe Schmidt, Martin Weigert, Coleman Broaddus, Gene Myers
2018	—	`—`	Computational Methods for Visualization, Simulation, and Restoration of Fluorescence Microscopy Data Martin Weigert
2017	—	`conf`	Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks. MICCAI (2) Martin Weigert, Loïc Royer, Florian Jug, Gene Myers
2017	J	`jnl`	Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks. CoRR Martin Weigert, Loïc Royer, Florian Jug, Gene Myers