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papers

Publications (14)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, Mauricio Reyes, Andras Jakab +421

Prior-based Coregistration and Cosegmentation

Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas +4

Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report

Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

Zhixin Shu, Mihir Sahasrabudhe, Alp Guler +3

Sub-cortical brain structure segmentation using F-CNN's

Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante +4

Linear and Deformable Image Registration with 3D Convolutional Neural Networks

Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou +4

Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration

Enzo Ferrante, Puneet K. Dokania, Rafael Marini Silva +1

Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields

Roque Porchetto, Franco Stramana, Nikos Paragios +1

Continuous Relaxation of MAP Inference: A Nonconvex Perspective

D. KhuÃª LÃª-Huu, Nikos Paragios

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis +3

Slice-to-volume medical image registration: a survey

Enzo Ferrante, Nikos Paragios

Alternating Direction Graph Matching

D. KhuÃª LÃª-Huu, Nikos Paragios

Deformable Registration through Learning of Context-Specific Metric Aggregation

Enzo Ferrante, Puneet K Dokania, Rafael Marini +1

Discriminative Parameter Estimation for Random Walks Segmentation

Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4