2019-02-13. Our paper 'Constrained CNN-losses for weakly supervised segmentation' has been accepted for publication at MedIA journal.
2018-10-20. Our latest
paper 'Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning'and its code have been made available at Arxiv and GitHub.
2018-10-20. Our paper 'HyperDense-Net: A hyper-densely connected CNN for multi-modal segmentation' has been accepted for publication at IEEE Transactions on Medical
2018-10-12.Our paper 'Multi-region segmentation of bladder cancer
structures in MRI with progressive dilated convolutional networks' has been accepted for publication at the journal of Medical Physics. Link.
collation study from the ENIGMA challenge comparing methods for cerebellum parcellation on MRI has been accepted at Neuroimage. Link.
2018-06-15. I have been appointed to Assistant Professor at the department of software and IT and the Ecole de Technologie Superieure, in Montreal,
starting from October,1st.
paper "Constrained-CNN losses for weakly supervised segmentation"has been accepted as oral at the 1st Conference on Medical Imaging with Deep Learning (MIDL) that will be held in Amsterdam.
2018-02-15. I'll be co-chairing a session on Brain Image
Segmentation at the IEEE International Symposium on Biomedical Imaging (ISBI) 2018 in Washington. DC, USA.
2018-02-08. OurHyperDense network has achieved the
first position at the MRBrains'13 Challenge among 47 teams.
2017-11-29. Our paper
"A 3D fully convolutional neural network and a
random walker to segment the esophagus in CT"has been selected as Editor's
Choice for December 2017 at Medical Physics.
2017-10-20.We have released the code
of our SemiDenseNet CNN for the segmentation of infant brain tissue. Link
2017-10-17. We have submitted our latest network, HyperDenseNet, to ISBI. The arXiv version is available here.
2017-09-14. I will be presenting our
work to segment infant brain tissue with an ensemble of CNNs at the iSEG Grand Challenge 2017 in MICCAI'17, Quebec, Canada.
2017-09-12.Our paper "A 3D fully convolutional neural network and a random walker to segment the esophagus
in CT"has been accepted for publication at Medical Physics. Link
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:"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%. Link
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. Link
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.