Herve Lombaert | DeepAI

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Featured Co-authors

Ran He
100 publications
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29 publications
Adrian Galdran
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Maxime Descoteaux
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∙ 01/18/2023

Active learning for medical image segmentation with stochastic batches

The performance of learning-based algorithms improves with the amount of...

0 Mélanie Gaillochet, et al. ∙

∙ 01/16/2023

TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation

Deep learning methods typically depend on the availability of labeled da...

0 Mélanie Gaillochet, et al. ∙

∙ 01/11/2023

Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning

Finite element methods (FEM) are popular approaches for simulation of so...

0 Mohammad Karami, et al. ∙

∙ 06/18/2022

Attention-based Dynamic Subspace Learners for Medical Image Analysis

Learning similarity is a key aspect in medical image analysis, particula...

0 Sukesh Adiga V, et al. ∙

∙ 05/16/2022

Test-Time Adaptation with Shape Moments for Image Segmentation

Supervised learning is well-known to fail at generalization under distri...

9 Mathilde Bateson, et al. ∙

∙ 03/10/2022

Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation

Semi-supervised segmentation tackles the scarcity of annotations by leve...

0 Sukesh Adiga V, et al. ∙

∙ 11/26/2021

Medial Spectral Coordinates for 3D Shape Analysis

In recent years there has been a resurgence of interest in our community...

0 Morteza Rezanejad, et al. ∙

∙ 08/09/2021

Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging

The physical and clinical constraints surrounding diffusion-weighted ima...

6 Benoit Anctil-Robitaille, et al. ∙

∙ 08/06/2021

Source-Free Domain Adaptation for Image Segmentation

Domain adaptation (DA) has drawn high interest for its capacity to adapt...

16 Mathilde Bateson, et al. ∙

∙ 10/01/2020

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images

Assessing the degree of disease severity in biomedical images is a task ...

13 Adrian Galdran, et al. ∙

∙ 09/29/2020

Realistic Image Normalization for Multi-Domain Segmentation

Image normalization is a building block in medical image analysis. Conve...

0 Pierre-Luc Delisle, et al. ∙

∙ 09/03/2020

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

The segmentation of the retinal vasculature from eye fundus images repre...

13 Adrian Galdran, et al. ∙

∙ 05/07/2020

Source-Relaxed Domain Adaptation for Image Segmentation

Domain adaptation (DA) has drawn high interests for its capacity to adap...

7 Mathilde Bateson, et al. ∙

∙ 04/07/2020

Manifold-driven Attention Maps for Weakly Supervised Segmentation

Segmentation using deep learning has shown promising directions in medic...

69 Sukesh Adiga V, et al. ∙

∙ 04/01/2020

Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis

Unpaired image-to-image translation has been applied successfully to nat...

0 Benoit Anctil-Robitaille, et al. ∙

∙ 03/31/2020

Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation

The varying cortical geometry of the brain creates numerous challenges f...

0 Karthik Gopinath, et al. ∙

∙ 12/02/2019

Adversarial normalization for multi domain image segmentation

Image normalization is a critical step in medical imaging. This step is ...

0 Pierre-Luc Delisle, et al. ∙

∙ 11/22/2019

Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis

Brain surface analysis is essential to neuroscience, however, the comple...

24 Karthik Gopinath, et al. ∙

∙ 11/22/2019

Spectral Graph Transformer Networks for Brain Surface Parcellation

The analysis of the brain surface modeled as a graph mesh is a challengi...

0 Ran He, et al. ∙

∙ 08/08/2019

Constrained domain adaptation for segmentation

We propose to adapt segmentation networks with a constrained formulation...

3 Mathilde Bateson, et al. ∙

∙ 04/09/2018

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

Recently, dense connections have attracted substantial attention in comp...

0 Jose Dolz, et al. ∙

∙ 03/27/2018

Graph Convolutions on Spectral Embeddings: Learning of Cortical Surface Data

Neuronal cell bodies mostly reside in the cerebral cortex. The study of ...

0 Karthik Gopinath, et al. ∙

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