• 2017-08-05. Our team ranked among the top methods (1st and 2nd in most of the metrics) on the iSEG Grand MICCAI Challenge 2017 with our work: ur paper "Infant brain tissue segmentation: an ensemble of semi-dense fully CNNs approach.".
  • 2017-05-30. We have received the "Travel Student MICCAI award" for our paper "Unbiased shape compactness for segmentation".
  • 2017-05-16. Our latest paper "Unbiased shape compactness for segmentation" has been accepted at MICCAI 2017. Acceptance rate 32%.
  • 2017-05-03. The code of our paper "Unbiased shape compactness for segmentation" has been made publicly available in GitHub. Link.
  • 2017-04-17. Our paper "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study" has been accepted at NeuroImage.
  • 2017-04-03. The code of our paper "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study" has been released in GitHub. Link
  • 2017-02-28. Our paper "DOPE: Distributed Optimization for Pairwise Energies" has been accepted at CVPR 2017, Honolulu.
  • 2017-02-21. We are hiring!!!! We have several interesting and fully funded PhD positions in deep learning applied to medical image analysis. For further information, please visit this link.
  • 2017-02-13. I've been nominated Publicity and Sponsorship co-chair for the International Conference on Image Processing Theory, Tools and Applications (IPTA'17), which will be held in Montreal on November 28th to December 1st.
  • 2016-10-01. I have been invited as speaker at the summit "deep learning in healthcare" (https://www.re-work.co/events/deep-learning-health-boston-2017), which will be held in Boston on May 25-26th, 2017. There I'll talk about Segmentation of Medical Images via Deep Learning Techniques: Current State-Of-The-Art and Perspectives.