activity
20162023
most citedThe Importance of Skip Connections in Biomedical Image Segmentation

112 citations · 124 across the 13 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

physics.med-ph2017

UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-Arterial Procedures

Francois Parent, Maxime Gerard, Raman Kashyap +1

Shape tracking of medical devices using strain sensing properties in optical fibers has seen increased attention in recent years. In this paper, we propose a novel guidance system…

cs.CV2017

Liver lesion segmentation informed by joint liver segmentation

Eugene Vorontsov, An Tang, Chris Pal +1

We propose a model for the joint segmentation of the liver and liver lesions in computed tomography (CT) volumes. We build the model from two fully convolutional networks, connecte…

cs.CV2017★ 5 cited

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation

Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov +6

In this paper, we introduce a simple, yet powerful pipeline for medical image segmentation that combines Fully Convolutional Networks (FCNs) with Fully Convolutional Residual Netwo…

cs.LG2017

On orthogonality and learning recurrent networks with long term dependencies

Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury +1

It is well known that it is challenging to train deep neural networks and recurrent neural networks for tasks that exhibit long term dependencies. The vanishing or exploding gradie…

cs.LG2017

3D Morphology Prediction of Progressive Spinal Deformities from Probabilistic Modeling of Discriminant Manifolds

Samuel Kadoury, William Mandel, Marjolaine Roy-Beaudry +2

We introduce a novel approach for predicting the progression of adolescent idiopathic scoliosis from 3D spine models reconstructed from biplanar X-ray images. Recent progress in ma…