ai-med Goto Github PK

abcd_study

abdomennet

almgig

Adversarial Learned Molecular Graph Inference and Generation

causal-effects-in-alzheimers-continuum

Code for the paper "Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders"

daft

Dynamic Affine Feature Map Transform

dataset-bias

Detect and correct bias in neuroimaging

deepnat

Caffe implementation of DeepNAT for brain segmentation

geomdl_anatomical_mesh

halos

keepthefaith

mas-lr

Pytorch Implementation of MAS-LR, a Continual Learning approach for importance driven incremental domain learning. https://arxiv.org/abs/2005.00079

metadatanorm

Repository for the paper "Metadata Normalization"

nn-common-modules

Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

panic

Prototypical Additive Neural Network for Interpretable Classification

point_recalibration

quicknat_pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

quicknatv2

Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

relaynet

Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)

relaynet_pytorch

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

strudel

svehnn

Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data (SVEHNN)

triplettraining

Official PyTorch Implementation for From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data - MIDL 2024

vox2cortex