Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation

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In order to simulate the cardiac function for a patient-specific geometry, the generation of the computational mesh is crucially important. In practice, the input is typically a set of unprocessed polygonal surfaces coming either from a template geometry o ...

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Recovering the distribution from multi-echo magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing the tissue micro-structure, such as the myelin water fraction (MWF). In this work, we propose to comb ...

Despite the successes of deep neural networks on many challenging vision tasks, they often fail to generalize to new test domains that are not distributed identically to the training data. The domain adaptation becomes more challenging for cross-modality m ...

Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation

Chattez avec Graph Search

Live-cell imaging powered by computation

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OSSCAR, an open platform for collaborative development of computational tools for education in science

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics

Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI

On the logic of collapsibility for causal effect measures

Learning to sample in Cartesian MRI

Prospective motion correction in kidney MRI using FID navigators

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

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Medipix4, a high granularity four sides buttable pixel readout chip for high resolution spectroscopic X-ray imaging at rates compatible with medical CT scans

Diamond-Based Nanoscale Quantum Relaxometry for Sensing Free Radical Production in Cells

Polygonal surface processing and mesh generation tools for the numerical simulation of the cardiac function

Micrometer-resolution X-ray tomographic full-volume reconstruction of an intact post-mortem juvenile rat lung

Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction

Homogeneous multifocal excitation for high-throughput super-resolution imaging

Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Model-informed machine learning for multi-component T2 relaxometry

Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation