Lab for Artificial Intelligence in Medical Imaging (@ai-med)
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ai-med

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  • Stars
    star
    880
  • Global Org. Rank 16,739 (Top 6 %)
  • Registered almost 6 years ago
  • Most used languages
    Python
         77.3 %
    Jupyter Notebook
         13.6 %
    MATLAB
         9.1 %

Top repositories

1

squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Python
315
star
2

quickNAT_pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Python
101
star
3

StablePose

Official Pytorch Implementation of Paper - Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation - NeurIPS 2024
Python
90
star
4

relaynet_pytorch

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
Jupyter Notebook
87
star
5

Vox2Cortex

Python
66
star
6

QuickNATv2

Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)
MATLAB
62
star
7

DAFT

Dynamic Affine Feature Map Transform
Python
35
star
8

nn-common-modules

Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
Python
32
star
9

ReLayNet

Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)
MATLAB
29
star
10

PANIC

Prototypical Additive Neural Network for Interpretable Classification
Python
9
star
11

almgig

Adversarial Learned Molecular Graph Inference and Generation
Python
8
star
12

causal-effects-in-alzheimers-continuum

Code for the paper "Identification of causal effects of neuroanatomy on cognitive decline requires modeling unobserved confounders"
Jupyter Notebook
8
star
13

PASTA

Official pytorch implementation of Paper - 🍝 PASTA: Pathology-Aware MRI to PET Cross-modal Translation with Diffusion Models - MICCAI 2024
Python
8
star
14

AbdomenNet

Python
4
star
15

DeepNAT

Caffe implementation of DeepNAT for brain segmentation
4
star
16

HALOS

Python
3
star
17

abcd_study

Jupyter Notebook
2
star
18

SVEHNN

Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data (SVEHNN)
Python
2
star
19

TripletTraining

Official PyTorch Implementation for From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data - MIDL 2024
Python
2
star
20

KeepTheFaith

Python
2
star
21

MAS-LR

Pytorch Implementation of MAS-LR, a Continual Learning approach for importance driven incremental domain learning. https://arxiv.org/abs/2005.00079
Python
2
star
22

point_recalibration

Python
1
star
23

STRUDEL

Python
1
star
24

geomdl_anatomical_mesh

1
star