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ORCIDJosef Lorenz Rumberger
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2020 – today
- 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)- [c5]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 - [c4]Melanie Dohmen, Mirja Mittermaier, Josef Lorenz Rumberger, Li-Ling Yang, Achim D. Gruber, Mario Toennies, Stefan Hippenstiel, Dagmar Kainmueller, Andreas C. Hocke:
Simultaneous Lung Cell and Nucleus Segmentation From Labelled Versus Unlabelled Human Lung DIC Images. ISBI 2024: 1-5 - [i6]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
- [c3]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 - [i5]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
- [i4]Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Dagmar Kainmueller:
Panoptic segmentation with highly imbalanced semantic labels. CoRR abs/2203.11692 (2022) - 2021
- [c2]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 - [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
- [c1]Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller:
Probabilistic Deep Learning for Instance Segmentation. ECCV Workshops (1) 2020: 445-457 - [i2]Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller:
Probabilistic Deep Learning for Instance Segmentation. CoRR abs/2008.10678 (2020)
2010 – 2019
- 2018
- [i1]Elias Baumann, Josef Lorenz Rumberger:
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers. CoRR abs/1811.09539 (2018)
Coauthor Index
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