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20092026
most citedBrain Tumor Segmentation with Deep Neural Networks

3.3k citations · 4.8k across the 43 of their papers we have counts for

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17 papers · 1 filter

cs.CV2026

Robust-ComBat: Mitigating Outlier Effects in Diffusion MRI Data Harmonization

Yoan David, Pierre-Marc Jodoin, Alzheimer's Disease Neuroimaging Initiative +1

Harmonization methods such as ComBat and its variants are widely used to mitigate diffusion MRI (dMRI) site-specific biases. However, ComBat assumes that subject distributions exhi…

cs.CV2025★ 2 cited

Clinical-ComBAT: a diffusion-weighted MRI harmonization method for clinical applications

Gabriel Girard, Manon Edde, Félix Dumais +7

Diffusion-weighted magnetic resonance imaging (DW-MRI) derived scalar maps are effective for assessing neurodegenerative diseases and microstructural properties of white matter in…

cs.CV2025★ 4 cited

Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning

Anders Austlid Taskén, Thierry Judge, Erik Andreas Rye Berg +8

Segmental longitudinal strain (SLS) of the left ventricle (LV) is an important prognostic indicator for evaluating regional LV dysfunction, in particular for diagnosing and managin…

cs.CV2025

Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling

Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim +5

Echocardiography plays a fundamental role in the extraction of clinical parameters (e.g. left ventricular volume and ejection fraction) required to determine the presence and sever…

cs.CV2024★ 1 cited

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification

Nathan Painchaud, Jérémie Stym-Popper, Pierre-Yves Courand +4

Deep learning enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provi…

cs.CV2023★ 3 cited

Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering

Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux +1

One of the main issues of the current tractography methods is their high false-positive rate. Tractogram filtering is an option to remove false-positive streamlines from tractograp…