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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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Univ. -Prof. Dr. -Ing. habil. Jörg Wagner University of Stuttgart

Edgar Torres University of Stuttgart

Edgar Gamero University of Stuttgart

F. Dörr

F. Laufer

Other publications of authors with the same name

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)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)Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model?M. Zuluaga, E. Leyton, M. Hoyos, and M. Orkisz. ICCVG (2), volume 6375 of Lecture Notes in Computer Science, page 385-392. Springer, (2010)Feature Selection for SVM-Based Vascular Anomaly Detection.M. Zuluaga, E. Leyton, M. Hoyos, and M. Orkisz. MCV, volume 6533 of Lecture Notes in Computer Science, page 141-152. Springer, (2010)