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08/22/2023
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer
We address the problem of learning Deep Learning Radiomics (DLR) that ar...
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08/18/2023
Decoupled conditional contrastive learning with variable metadata for prostate lesion detection
Early diagnosis of prostate cancer is crucial for efficient treatment. M...
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07/12/2023
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
Contrastive Analysis VAE (CA-VAEs) is a family of Variational auto-encod...
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07/10/2023
Weakly-supervised positional contrastive learning: application to cirrhosis classification
Large medical imaging datasets can be cheaply and quickly annotated with...
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02/16/2023
Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies
Identifying cirrhosis is key to correctly assess the health of the liver...
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11/14/2022
Contrastive learning for regression in multi-site brain age prediction
Building accurate Deep Learning (DL) models for brain age prediction is ...
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11/10/2022
Unbiased Supervised Contrastive Learning
Many datasets are biased, namely they contain easy-to-learn features tha...
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10/21/2022
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection
We propose a scalable and data-driven approach to learn shape distributi...
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10/04/2022
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Anatomical structures such as blood vessels in contrast-enhanced CT (ceC...
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07/27/2022
Optimizing transformations for contrastive learning in a differentiable framework
Current contrastive learning methods use random transformations sampled ...
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07/06/2022
Is the U-Net Directional-Relationship Aware?
CNNs are often assumed to be capable of using contextual information abo...
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06/03/2022
Rethinking Positive Sampling for Contrastive Learning with Kernel
Data augmentation is a crucial component in unsupervised contrastive lea...
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05/12/2022
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers
Augmented reality applications have rapidly spread across online platfor...
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02/08/2022
Hair Color Digitization through Imaging and Deep Inverse Graphics
Hair appearance is a complex phenomenon due to hair geometry and how the...
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02/01/2022
A deep residual learning implementation of Metamorphosis
In medical imaging, most of the image registration methods implicitly as...
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11/10/2021
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Contrastive Learning has shown impressive results on natural and medical...
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07/06/2021
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation
Due to a high heterogeneity in pose and size and to a limited number of ...
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07/05/2021
Fast and Scalable Optimal Transport for Brain Tractograms
We present a new multiscale algorithm for solving regularized Optimal Tr...
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07/05/2021
Template-Based Graph Clustering
We propose a novel graph clustering method guided by additional informat...
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07/05/2021
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning
Subtype Discovery consists in finding interpretable and consistent sub-p...
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06/17/2021
Knowledge distillation from multi-modal to mono-modal segmentation networks
The joint use of multiple imaging modalities for medical image segmentat...
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06/16/2021
Metamorphic image registration using a semi-Lagrangian scheme
In this paper, we propose an implementation of both Large Deformation Di...
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06/16/2021
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification
Traditional supervised learning with deep neural networks requires a tre...
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06/02/2021
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
Deep Learning (DL) and specifically CNN models have become a de facto me...
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05/12/2021
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
While makeup virtual-try-on is now widespread, parametrizing a computer ...
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02/22/2021
Approximation of dilation-based spatial relations to add structural constraints in neural networks
Spatial relations between objects in an image have proved useful for str...
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08/24/2020
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer
While existing makeup style transfer models perform an image synthesis w...
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09/18/2017
White Matter Fiber Segmentation Using Functional Varifolds
The extraction of fibers from dMRI data typically produces a large numbe...
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08/04/2017