Congratulations to Bo Wang, Marcel Prastawa, Avishek Saha, Suyash Awate, Andrei Irimia, Micah Chambers, Paul Vespa, John Van Horn, Valerio Pascucci, and Guido Gerig whose paper:
B. Wang, M. Prastawa, A. Saha, S.P. Awate, A. Irimia, M.C. Chambers, P.M. Vespa, J.D. Van Horn, V. Pascucci, G. Gerig. “Modeling 4D changes in pathological anatomy using domain adaptation: analysis of TBI imaging using a tumor database,” In Proceedings of the 2013 MICCAI-MBIA Workshop, Lecture Notes in Computer Science (LNCS), Vol. 8159, Note: Awarded Best Paper!, pp. 31--39. 2013.
DOI: 10.1007/978-3-319-02126-3_4
was awarded "Best Paper" at the 2013 MICCAI workshop on Multimodal Brain Image Analysis (MBIA). Their paper proposes a novel framework that models changes in pathological brain anatomy across time, and provides explicit mapping from a healthy template to subjects with pathology. Their framework uses transfer learning to leverage rich information from a known source domain (MR images of brain tumors), where a collection of completely segmented images is available, to learn appearance models automatically for the input target domain (MR images of traumatic brain injury patients).
