Hui Ren

Orcid: 0000-0003-0710-231X

Affiliations:
  • Massachusetts General Hospital, Department of Radiology, Boston, MA, USA


According to our database1, Hui Ren authored at least 22 papers between 2018 and 2024.

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Bibliography

2024
Biomedical Visual Instruction Tuning with Clinician Preference Alignment.
CoRR, 2024

Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis.
CoRR, 2024

Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation.
CoRR, 2024

Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach.
Comput. Medical Imaging Graph., 2024

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Temporal-Spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of Cine CMR Segmentation.
Proceedings of the Foundation Models for General Medical AI, 2024

High-Resolution 3d Ct Synthesis From Bidirectional X-Ray Images Using 3d Diffusion Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via a Multi-stage Deep Learning Approach.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study.
CoRR, 2023

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.
CoRR, 2023

Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

2021
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
Medical Image Anal., 2021

Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection.
CoRR, 2021

2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.
IEEE J. Biomed. Health Informatics, 2020

Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis.
CoRR, 2020

Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks.
CoRR, 2020

2019
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018


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