94 citations · 300 across the 71 of their papers we have counts for
6 papers · 2 filters
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz, Christian Desrosiers, Li Wang +3
Precise 3D segmentation of infant brain tissues is an essential step towards comprehensive volumetric studies and quantitative analysis of early brain developement. However, comput…
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network
Jose Dolz, Ismail Ben Ayed, Jing Yuan +1
Neonatal brain segmentation in magnetic resonance (MR) is a challenging problem due to poor image quality and low contrast between white and gray matter regions. Most existing appr…
Unbiased Shape Compactness for Segmentation
Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
We propose to constrain segmentation functionals with a dimensionless, unbiased and position-independent shape compactness prior, which we solve efficiently with an alternating dir…
A 3D fully convolutional neural network and a random walker to segment the esophagus in CT
Tobias Fechter, Sonja Adebahr, Dimos Baltas +3
Precise delineation of organs at risk (OAR) is a crucial task in radiotherapy treatment planning, which aims at delivering high dose to the tumour while sparing healthy tissues. In…
DOPE: Distributed Optimization for Pairwise Energies
Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
We formulate an Alternating Direction Method of Mul-tipliers (ADMM) that systematically distributes the computations of any technique for optimizing pairwise functions, including n…
A deep learning classification scheme based on augmented-enhanced features to segment organs at risk on the optic region in brain cancer patients
Jose Dolz, Nicolas Reyns, Nacim Betrouni +4
Radiation therapy has emerged as one of the preferred techniques to treat brain cancer patients. During treatment, a very high dose of radiation is delivered to a very narrow area.…