Overall Objectives
Research Program
Application Domains
- Representation Learning for Network Biology
- Breast tomosynthesis
- Inference of gene regulatory networks
- Imaging biomarkers and characterization for chronic lung diseases
- Imaging radiomics and genes to assess immunotherapy
- Restoration of old video archives
- Development of a heart ventricle vessel generation model for perfusion analysis
New Software and Platforms
New Results
- Invertible Deep Networks
- Compression of CNNs inputs
- Interstitial lung disease segmentation
- Image Registration with 3D Convolutional Neural Networks
- Radiomics for response to immunotherapy
- Semantic Segmentation Techniques for Brain Tumor Patients
- Demystification of AI-driven medical image interpretation
- Semantic Segmentation for Remote Sensing Data
- BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement
- Proximity Operators of Discrete Information Divergences
- Stochastic quasi-Fejèr block-coordinate fixed point iterations with random sweeping
- Rational optimization for nonlinear reconstruction with approximate penalization
- Representation Learning on Real-World Graphs
- Anonymity on Directed Networks
- Influence Maximization in Complex Networks
- Graph-based Text Analytics
- Auxiliary Variable Method for MCMC Algorithms in High Dimension
- Generation of patient-specific cardiac vascular networks
- Curvilinear structure analysis using path operators
- High throughput automated detection of axial malformations in fish embryo
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
- Representation Learning for Network Biology
- Breast tomosynthesis
- Inference of gene regulatory networks
- Imaging biomarkers and characterization for chronic lung diseases
- Imaging radiomics and genes to assess immunotherapy
- Restoration of old video archives
- Development of a heart ventricle vessel generation model for perfusion analysis
New Software and Platforms
New Results
- Invertible Deep Networks
- Compression of CNNs inputs
- Interstitial lung disease segmentation
- Image Registration with 3D Convolutional Neural Networks
- Radiomics for response to immunotherapy
- Semantic Segmentation Techniques for Brain Tumor Patients
- Demystification of AI-driven medical image interpretation
- Semantic Segmentation for Remote Sensing Data
- BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement
- Proximity Operators of Discrete Information Divergences
- Stochastic quasi-Fejèr block-coordinate fixed point iterations with random sweeping
- Rational optimization for nonlinear reconstruction with approximate penalization
- Representation Learning on Real-World Graphs
- Anonymity on Directed Networks
- Influence Maximization in Complex Networks
- Graph-based Text Analytics
- Auxiliary Variable Method for MCMC Algorithms in High Dimension
- Generation of patient-specific cardiac vascular networks
- Curvilinear structure analysis using path operators
- High throughput automated detection of axial malformations in fish embryo
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
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