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Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images.

M. Zuluaga, D. Hush, E. Leyton, M. Hoyos, and M. Orkisz. MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 9-16. Springer, (2011)

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A. Laukemann

Claudia Marianowski University of Stuttgart

A. Laukemann

A. Laukemann

A. Vo{\ss}

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Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches.J. Bruse, M. Zuluaga, A. Khushnood, K. McLeod, H. Ntsinjana, T. Hsia, M. Sermesant, X. Pennec, A. Taylor, and S. Schievano. IEEE Trans. Biomed. Engineering, 64 (10): 2373-2383 (2017)Benchmarking Anomaly Detection Algorithms in an Industrial Context: Dealing with Scarce Labels and Multiple Positive Types.D. Renaudie, M. Zuluaga, and R. Acuna-Agost. BigData, page 1228-1237. IEEE, (2018)Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study.B. Biffi, M. Zuluaga, S. Ourselin, A. Taylor, and S. Schievano. STACOM@MICCAI, volume 9534 of Lecture Notes in Computer Science, page 80-89. Springer, (2015)Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images.M. Zuluaga, D. Hush, E. Leyton, M. Hoyos, and M. Orkisz. MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 9-16. Springer, (2011)Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries.M. Zuluaga, N. Burgos, A. Mendelson, A. Taylor, and S. Ourselin. Medical Image Analysis, 26 (1): 185-194 (2015)The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation.A. Mendelson, M. Zuluaga, L. Thurfjell, B. Hutton, and S. Ourselin. MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 236-243. Springer, (2014)Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases.M. Zuluaga, N. Burgos, A. Taylor, and S. Ourselin. ISBI, page 290-293. IEEE, (2015)Grey matter sublayer thickness estimation in themouse cerebellum.D. Ma, M. Cardoso, M. Zuluaga, M. Modat, N. Powell, F. Wiseman, V. Tybulewicz, E. Fisher, M. Lythgoe, and S. Ourselin. CoRR, (2019)Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines.M. Zuluaga, I. Magnin, M. Hoyos, E. Leyton, F. Lozano, and M. Orkisz. Int. J. Comput. Assist. Radiol. Surg., 6 (2): 163-174 (2011)VTrails: Inferring Vessels with Geodesic Connectivity Trees.S. Moriconi, M. Zuluaga, H. Jäger, P. Nachev, S. Ourselin, and M. Cardoso. CoRR, (2018)