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
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.
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.