Awesome Active Domain Adaptation for Medical Image Analysis
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
[MICCAI, 2024] (Oral, RU @ MedIA Best Paper Award) Official implementation of the Brain Latent Progression (BrLP) method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge"
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
[MICCAI 2021] Boundary-aware Transformers for Skin Lesion Segmentation
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[MICCAI 2024, top 11%] Official Pytorch implementation of Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
[MICCAI 2023] Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
AIOZ AI - Overcoming Data Limitation in Medical Visual Question Answering (MICCAI 2019)
[MICCAI 2020] BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3
Repository containing the source code of the IVD-Net segmentation network that we proposed for the MICCAI 2018 IVD segmentation challenge.
MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
[MICCAI'21 & MICCAI'20] A Codebase for Universal Lesion Detection (DeepLesion SOTA)
Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response, in MICCAI2019.
[๐ ๐๐๐๐๐ ๐ฎ๐ฌ๐ฎ๐ฐ] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
[MICCAI 2021] BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
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