188 citations · 400 across the 22 of their papers we have counts for
4 papers · 1 filter
Newton-type Methods for Inference in Higher-Order Markov Random Fields
Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
Linear programming relaxations are central to {\sc map} inference in discrete Markov Random Fields. The ability to properly solve the Lagrangian dual is a critical component of suc…
Deformable Registration through Learning of Context-Specific Metric Aggregation
Enzo Ferrante, Puneet K Dokania, Rafael Marini +1
We propose a novel weakly supervised discriminative algorithm for learning context specific registration metrics as a linear combination of conventional similarity measures. Conven…
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis +3
During the past decade, with the significant progress of computational power as well as ever-rising data availability, deep learning techniques became increasingly popular due to t…
Slice-to-volume medical image registration: a survey
Enzo Ferrante, Nikos Paragios
During the last decades, the research community of medical imaging has witnessed continuous advances in image registration methods, which pushed the limits of the state-of-the-art…