heejong-kim Goto Github PK

3d_rp-net

brainmorph

A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration

cspca-classification-fusion

drawem

Developing brain Region Annotation With Expectation-Maximization

hardiprep_vsimple

idir

Code for the MIDL 2022 paper Implicit Neural Representations for Deformable Image Registration

iia

The official PyTorch implementation of the Iterated Integrated Attributions (IIA) method.

keymorph

Robust multimodal brain registration via keypoints

learning-to-compare-longitudinal-images

lilac

Learning-based Inference of Longitudinal imAge Changes (LILAC)

multi_contrast_inr

Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.

neural_pre_processing_registration

Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, skull-stripped brain in a standard coordinate space

nnunet

pylot

Experiment management for Deep Learning science

q-ball

Q-Ball reconstruction using spherical harmonics and spatial regularisation with the TV-W1 regulariser

q-space-conditioned-dwi-synthesis

road_evaluation

Source Code of the ROAD benchmark for feature attribution methods

u-mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

universeg

UniverSeg: Universal Medical Image Segmentation

vnn

Vector Neurons: A General Framework for SO(3)-Equivariant Networks

wire

wavelet implicit neural representations