A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Discover the repository for "ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting," a pioneering study that has been accepted for presentation at CVPR 2024.

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

Anatomical Positional Embeddings of Medical Computed Tomography Images

[AAAI 2025] Autoregressive Sequence Modeling for 3D Medical Image Representation

[CVPR 2024] Joint-Task Regularization for Partially Labeled Multi-Task Learning

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

ATLAS R2.0 - Anatomical Tracings of Lesions After Stroke

[ICLR 2023] Temporal Alignment Representations with Contrastive Learning

Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

[ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"

Official Pytorch implementation of Dual Cross-Attention for Medical Image Segmentation

CVPR2022 - Deep Hierarchical Semantic Segmentation - A structured, pixel-wise description of visual scenes in terms of the class hierarchy.

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Mamba SSM architecture

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"