Huihui Fang

Orcid: 0000-0003-3380-7970

According to our database1, Huihui Fang authored at least 32 papers between 2018 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Calibrate the Inter-Observer Segmentation Uncertainty via Diagnosis-First Principle.
IEEE Trans. Medical Imaging, September, 2024

ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading.
Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.
Medical Image Anal., December, 2023

Lens structure segmentation from AS-OCT images via shape-based learning.
Comput. Methods Programs Biomed., March, 2023

PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation.
CoRR, 2023

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.
CoRR, 2023

MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer.
CoRR, 2023

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model.
Proceedings of the Medical Imaging with Deep Learning, 2023

STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

2022
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images.
IEEE Trans. Medical Imaging, 2022

Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters.
CoRR, 2022

ExpNet: A unified network for Expert-Level Classification.
CoRR, 2022

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model.
CoRR, 2022

Learning to screen Glaucoma like the ophthalmologists.
CoRR, 2022

Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle.
CoRR, 2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment.
CoRR, 2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images.
CoRR, 2022

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges.
CoRR, 2022

Opinions Vary? Diagnosis First!
CoRR, 2022

Opinions Vary? Diagnosis First!
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Self-calibrated Optic Disc and Cup Segmentation from Multi-rater Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SeATrans: Learning Segmentation-Assisted Diagnosis Model via Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Dataset and Evaluation Algorithm Design for GOALS Challenge.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

2021
Stenosis-DetNet: Sequence consistency-based stenosis detection for X-ray coronary angiography.
Comput. Medical Imaging Graph., 2021

Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Robust Retinal Vessel Segmentation from a Data Augmentation Perspective.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

2020
Greedy Soft Matching for Vascular Tracking of Coronary Angiographic Image Sequences.
IEEE Trans. Circuits Syst. Video Technol., 2020

Topology Optimization Using Multiple-Possibility Fusion for Vasculature Extraction.
IEEE Trans. Circuits Syst. Video Technol., 2020

2018
Greedy Graph Searching for Vascular Tracking in Angiographic Image Sequences.
CoRR, 2018


  Loading...