Peter Hirsch

According to our database, Peter Hirsch authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.

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

Medical Image Anal., February, 2024

FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range thin Filamentous Structures.

Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Segmentation and Tracking of Cells and Nuclei Using Deep Learning.

Peter Hirsch

PhD thesis, 2023

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

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

CoRR, 2023

ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation.

Josef Lorenz Rumberger, Jannik Franzen, Peter Hirsch, Jan Philipp Albrecht, Dagmar Kainmueller

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Panoptic segmentation with highly imbalanced semantic labels.

Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Dagmar Kainmueller

CoRR, 2022

Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineages.

Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

How Shift Equivariance Impacts Metric Learning for Instance Segmentation.

Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images.

Peter Hirsch, Dagmar Kainmueller

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

PatchPerPix for Instance Segmentation.

Lisa Mais, Peter Hirsch, Dagmar Kainmueller

Proceedings of the Computer Vision - ECCV 2020, 2020