Yi Su

Orcid: 0000-0002-1946-8063

Affiliations:
  • Banner Alzheimers Institute, Phoenix, AZ, USA
  • Washington University, School of Medicine in St. Louis, MO, USA (2009 - 2018)
  • Mayo Graduate School, Rochester, MN, USA (PhD 2005)


According to our database1, Yi Su authored at least 24 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models.
CoRR, May, 2025

Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA.
CoRR, April, 2025

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models.
CoRR, March, 2025

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement.
CoRR, February, 2025

A Novel Hybrid Ordinal Learning Model With Health Care Application.
IEEE Trans Autom. Sci. Eng., 2025

A Cross-Modal Mutual Knowledge Distillation Framework for Alzheimer's Disease Diagnosis: Addressing Incomplete Modalities.
IEEE Trans Autom. Sci. Eng., 2025

CUNSB-RFIE: Context-Aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Plasma-CycleGAN: Plasma Biomarker-Guided MRI to Pet Cross-Modality Translation Using Conditional CycleGAN.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes.
Proceedings of the Information Processing in Medical Imaging, 2025

2024
Supervised Multi-Modal Fission Learning.
CoRR, 2024

Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects.
IEEE Trans. Comput. Soc. Syst., December, 2023

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry.
CoRR, 2023

2022
A Computational Monte Carlo Simulation Strategy to Determine the Temporal Ordering of Abnormal Age Onset Among Biomarkers of Alzheimer's Disease.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding.
CoRR, 2022

Addressing imaging accessibility by cross-modality transfer learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition.
Medical Image Anal., 2021

Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy.
CoRR, 2021

2017
AV-1451 PET imaging of tau pathology in preclinical Alzheimer disease: Defining a summary measure.
NeuroImage, 2017

2015
Partial volume correction in quantitative amyloid imaging.
NeuroImage, 2015

MR-based attenuation correction for PET/MRI neurological studies with continuous-valued attenuation coefficients for bone through a conversion from R2* to CT-Hounsfield units.
NeuroImage, 2015


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