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12/28/2020
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration
This work presents a single-step deep-learning framework for longitudina...
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11/03/2020
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI
Analysis of longitudinal changes in imaging studies often involves both ...
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05/26/2020
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging
Subtle changes in white matter (WM) microstructure have been associated ...
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07/29/2019
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network
Localization of focal vascular lesions on brain MRI is an important comp...
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06/05/2019
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks
Weakly supervised detection methods can infer the location of target obj...
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07/12/2018
Hydranet: Data Augmentation for Regression Neural Networks
Despite recent efforts, deep learning techniques remain often heavily de...
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02/16/2018
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI
Enlarged perivascular spaces (EPVS) in the brain are an emerging imaging...
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03/15/2017