COVID19_imaging_AI_paper_list. COVID-19 imaging-based AI paper collection
327EyeQ. EyeQ : Dataset of Retinal Image Quality Assessment
176MNet_DeepCDR. Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"
173AGNet. The code of "Attention Guided Network for Retinal Image Segmentation" in MICCAI 2019
120DENet_GlaucomaScreen. Code for "Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image"
60EyeQ_Enhancement. Code of 'Modeling and Enhancing Low-quality Retinal Fundus Images'
43Cosaliency_tip2013. The codes for "Cluster-based Co-saliency Detection" in TIP 2013.
31REFUGE_baseline. The baseline performances for Retinal Fundus Glaucoma Challenge
20DES_code. The Matlab code for Depth Enhanced Saliency Detection
19SACS_TIP2014. The Matlab code for Self-adaptively Weighted Co-saliency (SACS) Detection
18SEDR. Code for "SEDR: Unsupervised Spatial Embedded Deep Representation of Spatial Transcriptomics"
7VideoCoSeg_MSG. The Matlab code for Video Co-saliency via Multi-state Selection Graph
7awesome-transformers-in-medical-imaging. A collection of resources on applications of Transformers in Medical Imaging.
6RegularSP_tmm2014. The codes for "Regularity Preserved Superpixels and Supervoxels" in TMM 2014.
5Fisheye_tifs2012. The codes for "Forgery Authentication in Extreme Wide-angle Lens Using Distortion Cue and Fake Saliency Map" in TIFS 2012.
2StillGAN. Structure and Illumination Constrained GAN forMedical Image Quality Enhancement
2HiNet. Code for TMI 2020 "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis"
2MM-Retinal. Python
1MG-Trans. MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification (TMI 2023)
1MedRPG. Python
1SEDR_analyses. R
1SODsurvey.
1hzfu.github.io. My homepage
1Fundus-correction-cofe-Net. Python
1UIOS. Python
1uncertainty-toolbox. A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
1Restoration-of-Cataract-Images-via-Domain-Adaptation. A restoration of cataract images using damain adaptation
1OCTA-Net-OCTA-Vessel-Segmentation-Network. Python
1Polyp-PVT. Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers (TMI2022-Submission)
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