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ORCIDLisa Mais
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- affiliation: Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association, MDC, Berlin, Germany
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Conference and Workshop Papers
- 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- 2021
- [c4]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
- [c3]Lisa Mais, Peter Hirsch, Dagmar Kainmueller:
PatchPerPix for Instance Segmentation. ECCV (25) 2020: 288-304 - [c2]Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller:
Probabilistic Deep Learning for Instance Segmentation. ECCV Workshops (1) 2020: 445-457 - 2018
- [c1]Jan Funke, Lisa Mais, Andrew Champion, Natalie Dye, Dagmar Kainmueller:
A Benchmark for Epithelial Cell Tracking. ECCV Workshops (6) 2018: 437-445
Informal and Other Publications
- 2024
- [i4]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) - 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]Josef Lorenz Rumberger, Lisa Mais, Dagmar Kainmueller:
Probabilistic Deep Learning for Instance Segmentation. CoRR abs/2008.10678 (2020)
Coauthor Index
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