activity
20182026
most citedSource-Relaxed Domain Adaptation for Image Segmentation

65 citations · 160 across the 35 of their papers we have counts for

collaborators
Showing eess.IVShow all

6 papers · 1 filter

eess.IV2026

Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking

Dexter Wen Jie Teo, Nairouz Shehata, Herve Lombaert

Cardiac cine-MRI serves as a direct visual indicator of cardiovascular hemodynamics by capturing the continuous wall motion of the aorta. Quantifying these dynamic structural chang…

eess.IV2020★ 7 cited

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…

eess.IV2020★ 1 cited

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…

eess.IV2020

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…

eess.IV2019★ 1 cited

Spectral Graph Transformer Networks for Brain Surface Parcellation

Ran He, Karthik Gopinath, Christian Desrosiers +1

The analysis of the brain surface modeled as a graph mesh is a challenging task. Conventional deep learning approaches often rely on data lying in the Euclidean space. As an extens…

eess.IV2019★ 3 cited

WaveletBrain: Characterization of human brain via spectral graph wavelets

Majid Masoumi, Matthew Toews, Herve Lombaert

Early diagnosis of Alzheimer's disease plays a key role in understanding the degree of the patient's mental decline and determining preventive therapies. In this study, we introduc…