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3d-ru-net

A SlidingWindow-Free Accurate and Fast 3D Medical Image Segmentation Framework

academic-kickstart

alista

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

clip-lit

[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement

dct2net

Official implementation of the paper "DCT2net: an interpretable shallow CNN for image denoising"

fista-net

A model-based deep learning network for inverse problem in imaging

full-segment-anything

This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-processing: removing duplicated or small regions and holes, under flexible input image size

iradonmap-dsignet

Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning

ld-ct-simulation

low dose CT simulator to yield low dose CT images from high-dose one

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

physics-model-data-driven-review

Coming soon

pytomography

This repository enables easy and fast medical image reconstruction in Python.

pytorch-wavelet-toolbox

Differentiable fast wavelet transforms in PyTorch with GPU support.

pytorch_radon

Pytorch implementation of scikit-image's radon function and more

radon-transformation

A Pytorch implementation of the radon operator and filtered backprojection with, except for a constant, adjoint radon operator and backprojection.

rl-medical

Deep Reinforcement Learning (DRL) agents applied to medical images

roi-fusenet-for-3d-us

The pre-trained model and scripts for ROI-FuseNet in 3D US (To be updated based on acceptance)

soul-net

The codes for paper "SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction".

universeg

UniverSeg: Universal Medical Image Segmentation