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RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

Publications associées (32)

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

Graph Chatbot

Chattez avec Graph Search

Development and clinical validation of computational imaging biomarkers for neurodegenerative diseases

Multiparametric Characterization and Spatial Distribution of Different MS Lesion Phenotypes

Aggregating Spatial and Photometric Context for Photometric Stereo

Enabling Uncertainty Estimation in Iterative Neural Networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction

Neurobiological and metabolic basis of motivation and effort-based decision-making - A human 1H-MRS, fMRI and machine learning study

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Development and clinical validation of computational imaging biomarkers for neurodegenerative diseases

Aggregating Spatial and Photometric Context for Photometric Stereo

Enabling Uncertainty Estimation in Iterative Neural Networks

Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Neurobiological and metabolic basis of motivation and effort-based decision-making - A human 1H-MRS, fMRI and machine learning study

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Multiparametric Characterization and Spatial Distribution of Different MS Lesion Phenotypes