65 citations · 160 across the 35 of their papers we have counts for
9 papers · 1 filter
Realistic Image Normalization for Multi-Domain Segmentation
Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers +1
Image normalization is a building block in medical image analysis. Conventional approaches are customarily utilized on a per-dataset basis. This strategy, however, prevents the cur…
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images
Adrian Galdran, José Dolz, Hadi Chakor +2
Assessing the degree of disease severity in biomedical images is a task similar to standard classification but constrained by an underlying structure in the label space. Such a str…
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models
Adrian Galdran, André Anjos, José Dolz +3
The segmentation of the retinal vasculature from eye fundus images represents one of the most fundamental tasks in retinal image analysis. Over recent years, increasingly complex a…
Medical Imaging with Deep Learning: MIDL 2020 -- Short Paper Track
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne +3
This compendium gathers all the accepted extended abstracts from the Third International Conference on Medical Imaging with Deep Learning (MIDL 2020), held in Montreal, Canada, 6-9…
Source-Relaxed Domain Adaptation for Image Segmentation
Mathilde Bateson, Hoel Kervadec, Jose Dolz +2
Domain adaptation (DA) has drawn high interests for its capacity to adapt a model trained on labeled source data to perform well on unlabeled or weakly labeled target data from a d…
Manifold-driven Attention Maps for Weakly Supervised Segmentation
Sukesh Adiga, Jose Dolz, Herve Lombaert
Segmentation using deep learning has shown promising directions in medical imaging as it aids in the analysis and diagnosis of diseases. Nevertheless, a main drawback of deep model…
Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis
Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert
Unpaired image-to-image translation has been applied successfully to natural images but has received very little attention for manifold-valued data such as in diffusion tensor imag…
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation
Karthik Gopinath, Christian Desrosiers, Herve Lombaert
The varying cortical geometry of the brain creates numerous challenges for its analysis. Recent developments have enabled learning surface data directly across multiple brain surfa…
Adversarial normalization for multi domain image segmentation
Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers +1
Image normalization is a critical step in medical imaging. This step is often done on a per-dataset basis, preventing current segmentation algorithms from the full potential of exp…