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ORCIDPeter Hirsch 0001
Person information
- affiliation: Helmholtz Association, Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
Other persons with the same name
- Peter Hirsch 0002 (aka: Peter M. Hirsch) — Electric Power Research Institute, Palo Alto, CA, USA (and 1 more)
- Peter Hirsch 0003 — Bauhaus University Weimar, Germany
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Books and Theses
- 2023
[b1]Peter Hirsch:
Segmentation and Tracking of Cells and Nuclei Using Deep Learning. Humboldt University of Berlin, Germany, 2023
Journal Articles
- 2024
- [j1]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:
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92: 103047 (2024)
Conference and Workshop Papers
- 2024
- [c6]Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller:
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range thin Filamentous Structures. CVPR 2024: 22249-22259 - 2023
- [c5]Josef Lorenz Rumberger, Jannik Franzen, Peter Hirsch, Jan Philipp Albrecht, Dagmar Kainmueller:
ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation. ICCV (Workshops) 2023: 3792-3801 - 2022
- [c4]Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke:
Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineages. MICCAI (4) 2022: 25-35 - 2021
- [c3]Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller:
How Shift Equivariance Impacts Metric Learning for Instance Segmentation. ICCV 2021: 7108-7116 - 2020
- [c2]Lisa Mais, Peter Hirsch, Dagmar Kainmueller:
PatchPerPix for Instance Segmentation. ECCV (25) 2020: 288-304 - [c1]Peter Hirsch, Dagmar Kainmueller:
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. MIDL 2020: 304-321
Data and Artifacts
- 2024
- [d1]Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller:
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures. Zenodo, 2024
Informal and Other Publications
- 2026
- [i9]Rajalakshmi Palaniappan, Christoph Karg, Nemesio Navarro-Arambula, Peter Hirsch, Kristin Kraeker, Lisa Mais, Dagmar Kainmueller:
Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images. CoRR abs/2605.00538 (2026) - [i8]Xiaoyan Yu, Lisa Mais, Jannik Franzen, Peter Hirsch, Nick Lechtenbörger, Andreas Mardt, Dagmar Kainmüller:
Unsupervised Semantic Segmentation Facilitates Model Understanding. CoRR abs/2605.29691 (2026) - 2024
- [i7]Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller:
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures. CoRR abs/2404.00130 (2024) - 2023
- [i6]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:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - 2022
- [i5]Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Dagmar Kainmueller:
Panoptic segmentation with highly imbalanced semantic labels. CoRR abs/2203.11692 (2022) - [i4]Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke:
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages. CoRR abs/2208.11467 (2022) - 2021
- [i3]Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller:
How Shift Equivariance Impacts Metric Learning for Instance Segmentation. CoRR abs/2101.05846 (2021) - 2020
- [i2]Peter Hirsch, Lisa Mais, Dagmar Kainmueller:
PatchPerPix for Instance Segmentation. CoRR abs/2001.07626 (2020) - [i1]Peter Hirsch, Dagmar Kainmueller:
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. CoRR abs/2002.02857 (2020)
Coauthor Index
aka: Dagmar Kainmueller
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