Diffusion Weighted

Diffusion-weighted imaging (DWI), a type of MRI, measures the diffusion of water molecules to reveal tissue microstructure and connectivity, primarily used to study brain white matter and detect lesions in various organs. Current research focuses on improving DWI data quality and analysis through deep learning techniques, including generative models for data augmentation and denoising, and novel network architectures like residual networks and multi-head encoders for improved segmentation and parameter estimation. These advancements enhance the accuracy and efficiency of DWI-based diagnostics and contribute to a deeper understanding of brain structure and disease processes, impacting fields like neurology, oncology, and fetal imaging.

Papers

October 6, 2022

Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children
Henok Ghebrechristos, Stence Nicholas, David Mirsky, Gita Alaghband, Manh Huynh, Zackary Kromer, Ligia Batista, Brent ONeill, Steven Moulton, Daniel M. Lindberg
Deep Learning Constructive Approach Deep Learning Framework Nine Year Old Child Magnetic Resonance Imaging Data Diffusion Weighted Young Infant Diffusion Coefficient Perihematomal Edema

June 1, 2022

Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning
Jakub Jurek, Andrzej Materka, Kamil Ludwisiak, Agata Majos, Kamil Gorczewski, Kamil Cepuch, Agata Zawadzka
Neural Network Convolutional Neural Network Transfer Learning Image Denoising Diffusion Weighted Synthetic MRI Echo Planar Imaging Supervised Denoising

March 6, 2022

Modeling the Shape of the Brain Connectome via Deep Neural Networks
Haocheng Dai, Martin Bauer, P. Thomas Fletcher, Sarang Joshi
Deep Neural Network Object Shape Diffusion Weighted Riemannian Metric Tractography Method

November 14, 2021

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI
Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jonathan R. Polimeni, Berkin Bilgic, David H. Salat, Susie Y. Huang
Diffusion Based Diffusion Weighted Diffusion Tensor Imaging Diffusion Tensor Learning Based Denoising

Diffusion Weighted

Papers

Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children

Supervised Denoising of Diffusion-Weighted Magnetic Resonance Images Using a Convolutional Neural Network and Transfer Learning

Modeling the Shape of the Brain Connectome via Deep Neural Networks

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI