Jose Dolz
Associate Professor
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolJose Dolz is an associate professor and computer vision researcher with nine years of experience applying deep learning to medical image segmentation, particularly for organs-at-risk in radiotherapy and oncology. After engineering studies in Spain, he combined industry R&D—building AR, tracking and pose-estimation systems—with Marie Curie-funded PhD and postdoc work that fused hybrid segmentation and regularization techniques. At École de technologie supérieure in Montreal he leads research on CNN-based methods that integrate classical constraints to push state-of-the-art performance in clinical applications. His background building deployable vision products gives him a practical edge in translating algorithms into usable tools for healthcare. He is known for bridging signal-processing roots with modern deep learning to address persistent clinical segmentation challenges.
9 years of coding experience
7 years of employment as a software developer
Bachelor and M.Sc.Degree, Telecommunications, Image Processing, Bachelor and M.Sc.Degree, Telecommunications, Image Processing at Polytechnic University of ValenciaDoctor of Philosophy (PhD), Medical Imaging, Summa Cum Laude, Doctor of Philosophy (PhD), Medical Imaging, Summa Cum Laude at Ecole Doctorale Biologie SantéM.Sc. Student, Telecommunications & Radio Engineering focusing in Signal Processing, M.Sc. Student, Telecommunications & Radio Engineering focusing in Signal Processing at Högskolan i Gävle
Spanish, English, French, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
mri10
convolutional-neural-networks10
medicine10
unet-image-segmentation10
segmentation10
large-scale9
scale9
medical9
computer-vision9
medical-image-segmentation8
deep-learning8
image-segmentation8
ranking8
semantic-segmentation8
pytorch7
Programming languages (2)
Github contributions (5)
sinAshish/Multi-Scale-Attention
Jun 2019 - Apr 2020
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
Contributions:19 commits, 19 pushes, 12 comments in 10 months
pytorchsemantic-segmentationmedical-imagedeep-learningimage-segmentation
josedolz/LiviaNET
Mar 2017 - Nov 2019
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
Contributions:193 commits, 191 pushes, 1 branch in 2 years 8 months
deep-learningunet-image-segmentationconvolutional-neural-networkcomputer-visionconvolutional
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.