Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations (MIB for multimodal sentiment analysis)

[ICLR 2024]Implementation of "Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction"

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation (MICCAI 2022)

WACV 2024

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

Hand-crafted radiomics and deep learning-based radiomcis features extraction.

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)

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

The PyTorch implementation the Smooth Grad [https://arxiv.org/pdf/1706.03825.pdf] and Integrated Gradients [https://arxiv.org/pdf/1703.01365.pdf] for NLP Models.

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

测试开发各种资源汇总

Brain tumor segmentation for MICCAI 2017 BraTS challenge

Some accessible radiomics datas were provided in this link.

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

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Bet…

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Open source tools for computational pathology - Nature BME

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021

This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Cross-Scale Fusion Transformer for Histopathological Image Classification