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Crowdsourced Emphysema Assessment.

S. Ørting, V. Cheplygina, J. Petersen, L. Thomsen, M. Wille, and M. de Bruijne. CVII-STENT/LABELS@MICCAI, volume 10552 of Lecture Notes in Computer Science, page 126-135. Springer, (2017)

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H. Binz

Laura Kleckner University of Stuttgart

H. Bungartz

H. Binz

H. Binz

Other publications of authors with the same name

Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees.A. Feragen, M. Owen, J. Petersen, M. Wille, L. Thomsen, A. Dirksen, and M. de Bruijne. IPMI, volume 7917 of Lecture Notes in Computer Science, page 74-85. Springer, (2013)A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees.A. Feragen, J. Petersen, M. Owen, P. Lo, L. Thomsen, M. Wille, A. Dirksen, and M. de Bruijne. MICCAI (3), volume 7512 of Lecture Notes in Computer Science, page 147-155. Springer, (2012)Deep Learning from Label Proportions for Emphysema Quantification.G. Bortsova, F. Dubost, S. Ørting, I. Katramados, L. Hogeweg, L. Thomsen, M. Wille, and M. de Bruijne. MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 768-776. Springer, (2018)Crowdsourced Emphysema Assessment.S. Ørting, V. Cheplygina, J. Petersen, L. Thomsen, M. Wille, and M. de Bruijne. CVII-STENT/LABELS@MICCAI, volume 10552 of Lecture Notes in Computer Science, page 126-135. Springer, (2017)Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans.S. Ørting, J. Petersen, V. Cheplygina, L. Thomsen, M. Wille, and M. de Bruijne. CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 140-149. Springer, (2018)Learning to quantify emphysema extent: What labels do we need?S. Ørting, J. Petersen, L. Thomsen, M. Wille, and M. de Bruijne. CoRR, (2018)Detecting emphysema with multiple instance learning.S. Ørting, J. Petersen, L. Thomsen, M. Wille, and M. de Bruijne. ISBI, page 510-513. IEEE, (2018)