Hongfu Sun

According to our database, Hongfu Sun authored at least 30 papers between 2015 and 2026.

Collaborative distances:

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

2026

Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models.

Jin Liu, Qing Lin, Zhuang Xiong, Shanshan Shan, Chunyi Liu, Min Li, Feng Liu, G. Bruce Pike, Hongfu Sun, Yang Gao

IEEE Trans. Medical Imaging, May, 2026

DINO-MVR: Multi-View Readout of Frozen DINOv3 for Annotation-Efficient Medical Segmentation.

Wei Jiang, Feng Liu, Nan Ye, Hongfu Sun

CoRR, May, 2026

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting.

Tianyi Ding, Hongli Chen, Yang Gao, Feng Liu, Martijn A. Cloos, Hongfu Sun

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

SAMRI: Segment Anything Model for MRI.

Zhao Wang, Wei Dai, Thuy Thanh Dao, Steffen Bollmann, Hongfu Sun, Craig Engstrom, Shekhar S. Chandra

CoRR, October, 2025

GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis.

Rui Jin, Chen Chen, Yin Liu, Hongfu Sun, Min Zeng, Min Li, Yang Gao

CoRR, October, 2025

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting.

Tianyi Ding, Hongli Chen, Yang Gao, Zhuang Xiong, Feng Liu, Martijn A. Cloos, Hongfu Sun

CoRR, July, 2025

DIP-UP: Deep Image Prior for Unwrapping Phase.

Xuanyu Zhu, Yang Gao, Zhuang Xiong, Wei Jiang, Feng Liu, Hongfu Sun

Inf., 2025

MRF-Mixer: A Simulation-Based Deep Learning Framework for Accelerated and Accurate Magnetic Resonance Fingerprinting Reconstruction.

Tianyi Ding, Yang Gao, Zhuang Xiong, Feng Liu, Martijn A. Cloos, Hongfu Sun

Inf., 2025

Training-free Medical Image Inverses via Bi-level Guided Diffusion Models.

Hossein Askari, Fred Roosta, Hongfu Sun

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving.

Hossein Askari, Yadan Luo, Hongfu Sun, Fred Roosta

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis.

Rui Jin, Chen Chen, Yin Liu, Peng Wu, Hongfu Sun, Ruiqing Zheng, Min Zeng, Min Li, Yang Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation.

Xiang Li, Jian Wang, Haifeng Wei, Jinyu Cong, Hongfu Sun, Pingping Wang, Benzheng Wei

IEEE J. Biomed. Health Informatics, August, 2024

Quantitative susceptibility mapping through model-based deep image prior (MoDIP).

Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter J. Nestor, Feng Liu, Hongfu Sun

NeuroImage, 2024

Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks.

Yang Gao, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H. Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun

Medical Image Anal., 2024

IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules.

Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao

CoRR, 2024

Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems.

Hossein Askari, Fred Roosta, Hongfu Sun

CoRR, 2024

QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping.

Zhuang Xiong, Wei Jiang, Yang Gao, Feng Liu, Hongfu Sun

CoRR, 2024

Fast Controllable Diffusion Models for Undersampled MRI Reconstruction.

Wei Jiang, Zhuang Xiong, Feng Liu, Nan Ye, Hongfu Sun

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Affine transformation edited and refined deep neural network for quantitative susceptibility mapping.

Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun

NeuroImage, 2023

MapFlow: latent transition via normalizing flow for unsupervised domain adaptation.

Hossein Askari, Yasir Latif, Hongfu Sun

Mach. Learn., 2023

Multi-scale MRI reconstruction via dilated ensemble networks.

Wendi Ma, Marlon Bran Lorenzana, Wei Dai, Hongfu Sun, Shekhar S. Chandra

CoRR, 2023

MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network.

Yu Ren, Guoli Wang, Pingping Wang, Kunmeng Liu, Quanjin Liu, Hongfu Sun, Xiang Li, Benzheng Wei

CoRR, 2023

2022

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks.

Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J. Nestor, Viktor Vegh, Fatima A. Nasrallah, Craig D. Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun

NeuroImage, 2022

BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources.

Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun

CoRR, 2022

2021

Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine-Learning Approach.

Dexin Zhao, Lin Zhu, Hongfu Sun, Jun Li, Weishi Wang

Remote. Sens., 2021

Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction.

Yang Gao, Martijn A. Cloos, Feng Liu, Stuart Crozier, G. Bruce Pike, Hongfu Sun

NeuroImage, 2021

2020

Retrieving Volcanic Ash Top Height through Combined Polar Orbit Active and Geostationary Passive Remote Sensing Data.

Weiren Zhu, Lin Zhu, Jun Li, Hongfu Sun

Remote. Sens., 2020

2018

Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method.

Hongfu Sun, Yuhan Ma, M. Ethan MacDonald, G. Bruce Pike

NeuroImage, 2018

2017

Deep grey matter iron accumulation in alcohol use disorder.

Michal Juhás, Hongfu Sun, Matthew R. G. Brown, Marnie B. MacKay, Karl F. Mann, Wolfgang H. Sommer, Alan H. Wilman, Serdar M. Dursun, Andrew J. Greenshaw

NeuroImage, 2017

2015

Validation of quantitative susceptibility mapping with Perls' iron staining for subcortical gray matter.

Hongfu Sun, Andrew J. Walsh, R. Marc Lebel, Gregg Blevins, Ingrid Catz, Jian-Qiang Lu, Edward S. Johnson, Derek J. Emery, Kenneth G. Warren, Alan H. Wilman

NeuroImage, 2015