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IEEE Transactions on Pattern Analysis and Machine Intelligence|June 14, 2016
Multiscale Centerline DetectionAmos Sironi, Engin Turetken, Vincent Lepetit, et al.
IEEE Transactions on Medical Imaging|July 21, 2022
Adjusting the Ground Truth Annotations for Connectivity-Based Learning to DelineateDoruk Oner, Mateusz Kozinski, Lenoardo Citraro, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 2, 2011
Multiple Object Tracking Using K-Shortest Paths OptimizationJérôme Berclaz, François Fleuret, Engin Türetken, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Reconstructing geometrically consistent tree structures from noisy imagesEngin Türetken, Christian Blum, Germán González, et al.
IEEE Transactions on Medical Imaging|June 18, 2013
Learning context cues for synapse segmentationCarlos Becker, Karim Ali, Graham Knott, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 26, 2021
Training Provably Robust Models by Polyhedral Envelope RegularizationChen Liu, Mathieu Salzmann, Sabine Susstrunk
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 30, 2021
An Analysis of Super-Net Heuristics in Weight-Sharing NASKaicheng Yu, Rene Ranftl, Mathieu Salzmann
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Learning context cues for synapse segmentation in EM volumesCarlos Becker, Karim Ali, Graham Knott, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 18, 2007
Multicamera people tracking with a probabilistic occupancy mapFrançois Fleuret, Jérôme Berclaz, Richard Lengagne, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Supervised feature learning for curvilinear structure segmentationCarlos Becker, Roberto Rigamonti, Vincent Lepetit, et al.
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