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

S. Graham, Q. Vu, M. Jahanifar, M. Weigert, U. Schmidt, W. Zhang, J. Zhang, S. Yang, J. Xiang, X. Wang, J. Rumberger, E. Baumann, P. Hirsch, L. Liu, C. Hong, A. Avilés-Rivero, A. Jain, H. Ahn, Y. Hong, H. Azzuni, M. Xu, M. Yaqub, M. Blache, B. Piégu, B. Vernay, T. Scherr, M. Böhland, K. Löffler, J. Li, W. Ying, C. Wang, D. Kainmueller, C. Schönlieb, S. Liu, D. Talsania, Y. Meda, P. Mishra, M. Ridzuan, O. Neumann, M. Schilling, M. Reischl, R. Mikut, B. Huang, H. Chien, C. Wang, C. Lee, H. Lin, Z. Liu, X. Pan, C. Han, J. Cheng, M. Dawood, S. Deshpande, R. Bashir, A. Shephard, P. Costa, J. Nunes, A. Campilho, J. Cardoso, H. S, D. Puthussery, D. G, J. V, Y. Zhang, Z. Fang, Z. Lin, Y. Zhang, C. Lin, L. Zhang, L. Mao, M. Wu, T. Vo, S. Kim, T. Lee, S. Kondo, S. Kasai, P. Dumbhare, V. Phuse, Y. Dubey, A. Jamthikar, T. Vuong, J. Kwak, D. Ziaei, H. Jung, T. Miao, D. Snead, S. Raza, F. Minhas, and N. Rajpoot. CoRR, (2023)

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Josef Lorenz

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ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation.J. Rumberger, J. Franzen, P. Hirsch, J. Albrecht, and D. Kainmueller. ICCV (Workshops), page 3792-3801. IEEE, (2023)CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.S. Graham, Q. Vu, M. Jahanifar, M. Weigert, U. Schmidt, W. Zhang, J. Zhang, S. Yang, J. Xiang, X. Wang and 25 other author(s). Medical Image Anal., (February 2024)How Shift Equivariance Impacts Metric Learning for Instance Segmentation.J. Rumberger, X. Yu, P. Hirsch, M. Dohmen, V. Guarino, A. Mokarian, L. Mais, J. Funke, and D. Kainmueller. ICCV, page 7108-7116. IEEE, (2021)Simultaneous Lung Cell and Nucleus Segmentation From Labelled Versus Unlabelled Human Lung DIC Images.M. Dohmen, M. Mittermaier, J. Rumberger, L. Yang, A. Gruber, M. Toennies, S. Hippenstiel, D. Kainmueller, and A. Hocke. ISBI, page 1-5. IEEE, (2024)CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.S. Graham, Q. Vu, M. Jahanifar, M. Weigert, U. Schmidt, W. Zhang, J. Zhang, S. Yang, J. Xiang, X. Wang and 79 other author(s). CoRR, (2023)FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range thin Filamentous Structures.L. Mais, P. Hirsch, C. Managan, R. Kandarpa, J. Rumberger, A. Reinke, L. Maier-Hein, G. Ihrke, and D. Kainmueller. CVPR, page 22249-22259. IEEE, (2024)State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers.E. Baumann, and J. Rumberger. CoRR, (2018)Probabilistic Deep Learning for Instance Segmentation.J. Rumberger, L. Mais, and D. Kainmueller. ECCV Workshops (1), volume 12535 of Lecture Notes in Computer Science, page 445-457. Springer, (2020)

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Disambiguation of "Rumberger, Josef Lorenz"

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

Please choose a person to relate this publication to

Josef Lorenz

Josef Lorenz

Josef Lorenz

Josef Lorenz

Josef Lorenz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rumberger, Josef Lorenz"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

Please choose a person to relate this publication to

Josef Lorenz

Josef Lorenz

Josef Lorenz

Josef Lorenz

Josef Lorenz

Other publications of authors with the same name

Disambiguation

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