☆10Oct 20, 2022Updated 3 years ago
Alternatives and similar repositories for ADR
Users that are interested in ADR are comparing it to the libraries listed below
Sorting:
- This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…☆33Jul 7, 2022Updated 3 years ago
- ☆18Mar 10, 2022Updated 3 years ago
- AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation☆28Sep 19, 2023Updated 2 years ago
- [MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Lab…☆32Mar 24, 2022Updated 3 years ago
- ☆16Aug 24, 2023Updated 2 years ago
- Domain Adaptation and Generalization for Medical Image Analysis☆149Mar 24, 2024Updated last year
- ☆30Jul 18, 2025Updated 7 months ago
- Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation☆14Nov 10, 2020Updated 5 years ago
- code for our ODADA.☆20Sep 19, 2024Updated last year
- Disentangle domain features for cross-modality cardiac image segmentation☆22Nov 12, 2021Updated 4 years ago
- Inception Graph Convolutional NN on medical and non-medical datasets☆22May 12, 2020Updated 5 years ago
- SASAN☆27Mar 8, 2021Updated 4 years ago
- (Medical Image Analysis)Official implementation of "Dual domain distribution disruption with semantics preservation: Unsupervised domain…☆34Feb 25, 2025Updated last year
- ☆29May 28, 2022Updated 3 years ago
- Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).☆29Apr 26, 2022Updated 3 years ago
- [CVPR2020] Tensorflow implementation for paper ''Distribution-induced Bidirectional Generative Adversarial Network for Graph Representati…☆29Nov 24, 2021Updated 4 years ago
- Official Pytorch implementation of the paper: "Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Informat…☆25Oct 16, 2023Updated 2 years ago
- Code for "Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation", ICCV 2023☆16Aug 31, 2023Updated 2 years ago
- ☆30Aug 18, 2023Updated 2 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆43Oct 6, 2023Updated 2 years ago
- code for "Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information" in MICCAI 2023☆16Dec 3, 2025Updated 3 months ago
- ☆10Sep 8, 2022Updated 3 years ago
- Official PyTorch implementation of PolypMix☆13Nov 22, 2024Updated last year
- Dur360BEV: (ICRA 2025) A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving☆23Feb 2, 2026Updated last month
- MFU-Net☆11Sep 1, 2020Updated 5 years ago
- ☆12Jul 25, 2023Updated 2 years ago
- This is the pytorch demo code for Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain, (PTMDA) (IEEE Transactions on Ima…☆11Apr 15, 2022Updated 3 years ago
- Hierarchical Deep Multiple Instance Learning☆11Jun 30, 2023Updated 2 years ago
- IEEE TMI paper: A multi-step modality fusion network for identifying the histologic subtypes of metastatic cervical lymphadenopathy☆10Nov 23, 2022Updated 3 years ago
- ☆12Jan 20, 2023Updated 3 years ago
- ☆12Oct 24, 2023Updated 2 years ago
- PyTorch implementation of HisToGene☆52Nov 30, 2021Updated 4 years ago
- Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)☆110Mar 8, 2024Updated last year
- [AAAI 2024] Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-Supervised 3D Object Detection☆10Jan 24, 2025Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆12Feb 22, 2025Updated last year
- Official code for SOAP implementation☆12Aug 7, 2025Updated 6 months ago
- A self-made NeurIPS poster template, infused with the unique design style of ShanghaiTech.☆15Dec 26, 2023Updated 2 years ago
- [Robust cardiac MR image segmentation foundation model] This code contains the most powerful cardiac segmentation model trained from UK b…☆13Jun 13, 2022Updated 3 years ago
- Rethinking Whole-Body CT Image Interpretation: An Abnormality-Centric Approach☆19Nov 17, 2025Updated 3 months ago