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adamatch-cyclic

This repository is an official PyTorch implementation of the paper "Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation" submitted to ACL 2024.

consolidatedpolypda

[MIA'21] Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images

d2net

[TMI' 22] D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation with Missing Modalities

decoupled-unbiased-teacher

[TNNLS' 23] Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection

depth-aware-endoscopy-sr

Dynamic Depth-Aware Network for Endoscopy Super-Resolution (JBHI 2022)

dsi-net

[TMI' 21] DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images

dw-hieraseg

[MedIA'21] Dynamic-weighting Hierarchical Segmentation Network for Medical Images

endocv-2021

[EndoCV'21] Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data

ept

Edge-oriented Point cloud Transformer for 3D Intracranial Aneurysm Segmentation. MICCAI22

feddm

[TMI' 23] FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting

fedgp

fedini

[MICCAI' 22] Intervention & Interaction Federated Abnormality Detection with Noisy Clients

fedpd

[ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement

gfbs

[ACM MM'21] Exploring Gradient Flow Based Saliency for DNN Model Compression

habit

This is an official PyTorch implementation of the paper "Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification"

htd

[TIP' 21] HTD: Heterogeneous Task Decoupling for Two-stage Object Detection

i2gcn

[MedIA'22] Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis

infproto

jcas

[MICCAI'22] Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels

l2udt

[TMI' 21] Semantic-oriented Labeled-to-unlabeled Distribution Translation for Image Segmentation

mcpl

MCPL: Multi-modal Collaborative Prompt Learning for Medical Vision-Language Model (Initial Version)

metacorrection

[CVPR'21] MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation

mgiml_wpy

MGIML: Cancer Grading with Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization. This work is accepted by IEEE TMI, we will publish the source code.

mpa-da

[JBHI'21] Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation

multimodal-learning

nlte

[CVPR' 22] Towards Robust Adaptive Object Detection under Noisy Annotations

prototypical-graph-da

[TMI' 21] Graph-based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge

prr-fl

[MICCAI'21] Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning

prr-imbalance

[TMI'22] Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data

ptree-net

[AAAI'21] Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring