sjjadsa

sjjadsa's Stars

• notbadforme/ESAT

  Language:Python2

• mueller-franzes/medfusion

  Implementation of Medfusion - A latent diffusion model for medical image synthesis.

  Language:Python15725

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.5k1.3k

• mahmoodlab/PORPOISE

  Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

  Language:Jupyter Notebook17935

• mahmoodlab/Patch-GCN

  Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

  Language:Python11629

• liupei101/AdvMIL

  [MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images

  Language:Python3010

• TWSFar/ImageKmeans

  Language:Python344

• prov-gigapath/prov-gigapath

  Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

  Language:Python35143

• scott-yjyang/DiffMIC

  [MICCAI 2023] DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

  Language:Python13113

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.5k10.1k

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

  Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

  1.4k138

• abarankab/DDPM

  PyTorch DDPM implementation

  Language:Python630104

• cvlab-stonybrook/Large-Image-Diffusion

  CVPR 2024: Learned representation-guided diffusion models for large-image generation

  Language:Jupyter Notebook204

• suinleelab/MONET

  Transparent medical image AI via an image–text foundation model grounded in medical literature

  Language:Python415

• cvlab-stonybrook/PathLDM

  Official Code for PathLDM: Text conditioned Latent Diffusion Model for Histopathology (WACV 2024)

  Language:Jupyter Notebook283

• mahmoodlab/CONCH

  A vision-language foundation model for computational pathology - Nature Medicine

  Language:Python22217

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.5k1.5k

• zizhaozhang/distill2

  Language:Python123

• mahmoodlab/CLAM

  Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

  Language:Python1k346

• bubbliiiing/unet-pytorch

  这是一个unet-pytorch的源码，可以训练自己的模型

  Language:Python1.3k253

• qiaofengsheng/pytorch-UNet

  pytorch搭建自己的unet网络，训练自己的数据集。

  Language:Python25428

• TheInfamousWayne/UNet

  Medical Image Segmentation

  Language:Python1710

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.7k595

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.9k5.6k

• tjy-gitnub/win12

  Windows 12 网页版，在线体验 点击下面的链接在线体验

  Language:JavaScript6.5k796

• AngeLouCN/Min_Max_Similarity

  A contrastive learning based semi-supervised segmentation network for medical image segmentation

  Language:Python1k395

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.4k7.9k

• jayboxyz/deeplearning-image-segmentation

  :bread: 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

  Language:Python14631