IEEE

A Parameter-efficient and Motion-aware Exploratory Self-Refinement Network for 3D Brain MRI Registration

Abstract: Pyramid-based deformable registration networks achieve strong accuracy by decomposing complex deformations into a stack of subfields. However, most methods only rely on a single-step ...
People

ALS Patient, 47, Gains Ability to Speak and Sustain Full-Time Job Using Experimental Brain-Computer Interface

“It is very sweet to have the ability to look at my wife’s eyes when she hears my voice and conjures up a sweet memory,” Casey Harrell said Researchers at UC Davis have created an advanced ...
The Earth Institute Columbia University

New 3D Microscope Technology Captures High-Resolution Tissue Images at a Fraction of the Cost

A team led by Raju Tomer, professor of biological sciences at Columbia University, has created a new design for microscopes and microscope lenses that could push 3D tissue imaging beyond ...
IEEE

Research on Computer Vision Image Preprocessing and Target Detection Optimization Algorithm Driven by Fully Convolutional Neural Network

Abstract: In the field of computer vision, traditional object detection algorithms are constrained by their feature extraction mechanisms, making it difficult for detection accuracy to meet the ...
GitHub

FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching

Official PyTorch implementation of "FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching" (accepted at Medical Image Analysis, Elsevier). flowlet/ Core library ├── wavelets/ ...