Dufan Wu

According to our database, Dufan Wu authored at least 29 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Portable head CT motion artifact correction via diffusion-based generative model.

Zhennong Chen, Siyeop Yoon, Quirin D. Strotzer, Rehab Naeem Khalid, Matthew Tivnan, Quanzheng Li, Rajiv Gupta, Dufan Wu

Comput. Medical Imaging Graph., 2025

2024

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation.

Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li

Medical Image Anal., 2024

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

Yuang Wang, Pengfei Jin, Li Zhang, Quanzheng Li, Zhiqiang Chen, Dufan Wu

CoRR, 2024

Measurement Embedded Schrödinger Bridge for Inverse Problems.

Yuang Wang, Pengfei Jin, Siyeop Yoon, Matthew Tivnan, Quanzheng Li, Li Zhang, Dufan Wu

CoRR, 2024

Contrastive Learning Via Equivariant Representation.

Sifan Song, Jinfeng Wang, Qiaochu Zhao, Xiang Li, Dufan Wu, Angelos Stefanidis, Jionglong Su, S. Kevin Zhou, Quanzheng Li

CoRR, 2024

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

Yuang Wang, Siyeop Yoon, Pengfei Jin, Matthew Tivnan, Zhennong Chen, Rui Hu, Li Zhang, Zhiqiang Chen, Quanzheng Li, Dufan Wu

CoRR, 2024

Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising.

Siyeop Yoon, Matthew Tivnan, Rui Hu, Yuang Wang, Young-Don Son, Dufan Wu, Xiang Li, Kyungsang Kim, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hallucination Index: An Image Quality Metric for Generative Reconstruction Models.

Matthew Tivnan, Siyeop Yoon, Zhennong Chen, Xiang Li, Dufan Wu, Quanzheng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

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

Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, Ninghao Liu

CoRR, 2023

Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning.

Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li

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.

Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li

CoRR, 2022

2021

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.

Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

Medical Image Anal., 2021

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

Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li

CoRR, 2021

2020

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.

Dufan Wu, Kuang Gong, Chiara Daniela Arru, Fatemeh Homayounieh, Bernardo Bizzo, Varun Buch, Hui Ren, Kyung Sang Kim, Nir Neumark, Pengcheng Xu, Zhiyuan Liu, Wei Fang, Nuobei Xie, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Alessandro Carriero, Luca Saba, Mahsa Masjedi, Hamidreza Talari, Rosa Babaei, Hadi Karimi Mobin, Shadi Ebrahimian, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li

IEEE J. Biomed. Health Informatics, 2020

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

Young-Gon Kim, Kyung Sang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li

CoRR, 2020

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

Ziju Shen, Yufei Wang, Dufan Wu, Xu Yang, Bin Dong

CoRR, 2020

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

Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li

CoRR, 2020

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

Dufan Wu, Hui Ren, Quanzheng Li

CoRR, 2020

Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution.

Dufan Wu, Kyung Sang Kim, Quanzheng Li

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.

Alankar Kowtal, Avilash K. Cramer, Dufan Wu, Kai Yang, Wolfgang Krull, Ioannis Gkioulekas, Rajiv Gupta

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

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

Dufan Wu, Kuang Gong, Kyung Sang Kim, Quanzheng Li

CoRR, 2019

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

Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li, Quanzheng Li

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.

Kyung Sang Kim, Dufan Wu, Kuang Gong, Joyita Dutta, Jong Hoon Kim, Young-Don Son, Hang-Keun Kim, Georges El Fakhri, Quanzheng Li

IEEE Trans. Medical Imaging, 2018

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

Dufan Wu, Kyung Sang Kim, Quanzheng Li

CoRR, 2018

End-to-End Lung Nodule Detection in Computed Tomography.

Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li

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.

Dufan Wu, Kyung Sang Kim, Georges El Fakhri, Quanzheng Li

IEEE Trans. Medical Imaging, 2017

End-to-End Abnormality Detection in Medical Imaging.

Dufan Wu, Kyung Sang Kim, Bin Dong, Quanzheng Li

CoRR, 2017

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

Dufan Wu, Kyung Sang Kim, Georges El Fakhri, Quanzheng Li

CoRR, 2017

2013

Prior Image Guided Undersampled Dual Energy Reconstruction with Piecewise Polynomial Function Constraint.

Dufan Wu, Li Zhang, Liang Li, Le Shen, Yuxiang Xing

Comput. Math. Methods Medicine, 2013