Yehui Yang

Orcid: 0000-0001-6472-994X

According to our database1, Yehui Yang authored at least 36 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
SegICL: A Universal In-context Learning Framework for Enhanced Segmentation in Medical Imaging.
CoRR, 2024

An Embeddable Implicit IUVD Representation for Part-based 3D Human Surface Reconstruction.
CoRR, 2024

2023
Temporally consistent reconstruction of 3D clothed human surface with warp field.
Image Vis. Comput., September, 2023

SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations.
CoRR, 2023

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

Transferring Pre-Trained Large Language-Image Model for Medical Image Captioning.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Adapting Pre-Trained Visual and Language Models for Medical Image Question Answering.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image.
IEEE Trans. Cybern., 2022

Spherical Interpolated Convolutional Network With Distance-Feature Density for 3-D Semantic Segmentation of Point Clouds.
IEEE Trans. Cybern., 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

One Hyper-Initializer for All Network Architectures in Medical Image Analysis.
CoRR, 2022

Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification.
CoRR, 2022

An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition.
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

A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences.
IEEE Trans. Instrum. Meas., 2021

Progressive Hard-case Mining across Pyramid Levels in Object Detection.
CoRR, 2021

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

2020
Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences.
CoRR, 2020

Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds.
CoRR, 2020

Robust Retinal Vessel Segmentation from a Data Augmentation Perspective.
CoRR, 2020

Residual-CycleGAN Based Camera Adaptation for Robust Diabetic Retinopathy Screening.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Multi-task Character-Level Attentional Networks for Medical Concept Normalization.
Neural Process. Lett., 2019

2017
The Twist Tensor Nuclear Norm for Video Completion.
IEEE Trans. Neural Networks Learn. Syst., 2017

Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition.
IEEE Trans. Image Process., 2017

Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning.
IEEE Trans. Cybern., 2017

Discriminative Reverse Sparse Tracking via Weighted Multitask Learning.
IEEE Trans. Circuits Syst. Video Technol., 2017

Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
A Weighted Discriminative Dictionary Learning Method for Depression Disorder Classification Using fMRI Data.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015
Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking.
Neurocomputing, 2015

A New Low-Rank Tensor Model for Video Completion.
CoRR, 2015


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