读过的CV方向的一些论文,图像生成文字、弱监督分割等
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Updated
May 16, 2020
读过的CV方向的一些论文,图像生成文字、弱监督分割等
[MICCAI 2021] Boundary-aware Transformers for Skin Lesion Segmentation
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
[MICCAI 2020] BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
Repository containing the source code of the IVD-Net segmentation network that we proposed for the MICCAI 2018 IVD segmentation challenge.
[MICCAI'21 & MICCAI'20] A Codebase for Universal Lesion Detection (DeepLesion SOTA)
[MedIA] Accompanying paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
AIOZ AI - Overcoming Data Limitation in Medical Visual Question Answering (MICCAI 2019)
MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response, in MICCAI2019.
MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
[MICCAI 2021] BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
📢 A curated list of upcoming conferences, events, journal, and other resources in the field of computer vision, and medical image analysis.
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
MICCAI2023: Artifact Restoration in Histology Images with Diffusion Probabilistic Models
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