Constrative Learning for Kidney Transplant Analysis using MRI data and Deep Convolutional Networks

Context Aware 3D CNNs for Brain Tumor Segmentation

Deep learning based registration using spatial gradients and noisy segmentation labels

GHOST: Graph-based Higher-Order Similarity Transformation for Classification

Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment

Renal Transplant Survival Prediction From Unsupervised Deep Learning-Based Radiomics on Early Dynamic Contrast-Enhanced MRI

3D Unsupervised Kidney Graft Segmentation Based on Deep Learning and Multi-Sequence MRI

Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation

AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation

Multimodal Learning for Detecting Stress under Missing Modalities

Radiomics to predict outcomes and abscopal response of patients with cancer treated with immunotherapy combined with radiotherapy using a validated signature of CD8 cells

COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures

Assessment of Functional and Nutritional Status and Skeletal Muscle Mass for the Prognosis of Critically Ill Solid Cancer Patients

ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities

Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics

Counterfactual Analysis for Digital Histopathology Slides Using Human Interpretable Features

Elastic Registration–driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT

Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis

Prognostic value of automated assessment of interstitial lung disease on CT in systemic sclerosis

Deep Learning–based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images

Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis

Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology

Using chest CT scan and unsupervised machine learning for predicting and evaluating response to lumacaftor-ivacaftor in people with cystic fibrosis

MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation

Contrastive Masked Transformers for Forecasting Renal Transplant Function

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature

Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning

Autonomous vehicles: Scientometric and bibliometric studies

Les firmes face au développement durable : changement technologique et gouvernance au sein de la dynamique industrielle

Can single-driver car-users become multimodal travelers? A multi-actor multicriteria analysis

Assessing mobility offers to be deployed in heterogeneous geographical contexts: a two-phase decision-aid tool

Les enjeux de la smart city pour le développement durable du Maroc

Governance of shared automated electric vehicle in the urban transport system: insight from a willingness-to-use survey and Norwegian cultural context

A business platform for Autonomous Vehicles within Urban Mobility

Evaluer des solutions de mobilité à déployer dans des contextes géographiques hétérogènes : un outil d’aide à la décision en deux phases

GLOBALISATION, COMPETITIVENESS, GOVERNANCE AND ENVIRONMENT : What prospects for a sustainable development?

Promote and Support Eco-innovation

The quintuple helix model and the future of mobility: The case of autonomous vehicles

Commitment procedures in R&D investments: an examination of different varieties

Assessing 50 innovative mobility offers in low-density areas: a French application using a two-step decision-aid method

Environnement et croissance économique : risques et opportunités

From sustainable development to corporate social responsibility: an application to European aluminium sector

Product-Service System for Autonomous Vehicles: a preliminary typology studies

ECONOMIC GLOBALISATION, COMPETITIVENESS AND ENVIRONMENT

Indicateurs de Développement Durable dans les entreprises : Vers un contrat social ?

Eco-innovations et compétitivité internationale : enjeux et limites

LOCATING PERFORMANCE MEASUREMENTS IN CONSTRUCTION SECTOR COMPANIES: TO WHERE SHOULD WE GO?

Smart mobility providing smart cities