Dufan Wu

Orcid: 0000-0002-3204-3502

According to our database1, Dufan Wu authored at least 39 papers between 2013 and 2025.

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Bibliography

2025
System-Embedded Diffusion Bridge Models.
CoRR, June, 2025

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface.
CoRR, May, 2025

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics.
CoRR, May, 2025

OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging.
CoRR, May, 2025

Prediction of Frozen Region Growth in Kidney Cryoablation Intervention Using a 3D Flow-Matching Model.
CoRR, March, 2025

Noise Controlled CT Super-Resolution with Conditional Diffusion Model.
CoRR, February, 2025

End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT.
CoRR, January, 2025

Implicit Image-to-Image Schrödinger Bridge for image restoration.
Pattern Recognit., 2025

Portable head CT motion artifact correction via diffusion-based generative model.
Comput. Medical Imaging Graph., 2025

Hallucination Analysis of Score-Based Diffusion Models for CT Denoising Through Spatial Frequency Decomposition.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation.
Medical Image Anal., 2024

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models.
CoRR, 2024

Measurement Embedded Schrödinger Bridge for Inverse Problems.
CoRR, 2024

Contrastive Learning Via Equivariant Representation.
CoRR, 2024

Implicit Image-to-Image Schrodinger Bridge for CT Super-Resolution and Denoising.
CoRR, 2024

Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hallucination Index: An Image Quality Metric for Generative Reconstruction Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Head CT Scan Motion Artifact Correction via Diffusion-Based Generative Models.
Proceedings of the Applications of Medical Artificial Intelligence, 2024

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

Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer.
CoRR, 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

Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging.
CoRR, 2020

Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography.
CoRR, 2020

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

Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Signal Sensing and Reconstruction Paradigms for a Novel Multi-Source Static Computed Tomography System.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.
CoRR, 2019

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.
IEEE Trans. Medical Imaging, 2018

Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging.
CoRR, 2018

End-to-End Lung Nodule Detection in Computed Tomography.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017
Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network.
IEEE Trans. Medical Imaging, 2017

End-to-End Abnormality Detection in Medical Imaging.
CoRR, 2017

A Cascaded Convolutional Nerual Network for X-ray Low-dose CT Image Denoising.
CoRR, 2017

2013
Prior Image Guided Undersampled Dual Energy Reconstruction with Piecewise Polynomial Function Constraint.
Comput. Math. Methods Medicine, 2013


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