IFF-0303's repositories
3D-TransUNet
This is the official repository for the paper "3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers"
Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Awesome-Foundation-Models-in-Medical-Imaging
A curated list of foundation models for vision and language tasks in medical imaging
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
Coronary-Artery-Tracking-via-3D-CNN-Classification
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
diffmae-pytorch
unofficial implementation of DiffMAE
DreamDiffusion
Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”
Endora
Endora: Video Generation Models as Endoscopy Simulators
G-Swin-Transformer
This is an official implementation for "Vision Transformer based Multi-Class Lesion Detection in IVOCT" on IVOCT Detection.
How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
med-seg-diff-pytorch
Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space
MedSegDiff
Medical Image Segmentation with Diffusion Model
MultiTalent
Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
OCT-Converter
Tools for extracting the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
rtdl
Research on Tabular Deep Learning: Papers & Packages
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Swin-UMamba
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
tab-transformer-pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch
tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
TinyLLaVA_Factory
A Framework of Small-scale Large Multimodal Models
U-Mamba
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation