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Fuhua Yan
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2020 – today
- 2024
- [j20]Ming Zhang, Ruimin Feng, Zhenghao Li, Jie Feng, Qing Wu, Zhiyong Zhang, Chengxin Ma, Jinsong Wu, Fuhua Yan, Chunlei Liu, Yuyao Zhang, Hongjiang Wei:
A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation. Medical Image Anal. 95: 103173 (2024) - [j19]Peng Liu, Xinhui Wang, Youmin Zhang, Pei Huang, Zhijia Jin, Zenghui Cheng, Yongsheng Chen, Qiuyun Xu, Kiarash Ghassaban, Yu Liu, Shengdi Chen, Naying He, Fuhua Yan, E. Mark Haacke:
PENCIL imaging: A novel approach for neuromelanin sensitive MRI in Parkinson's disease. NeuroImage 291: 120588 (2024) - [j18]Qiuyun Xu, Yongsheng Chen, Stephan Miller, Kunal Bajaj, Jairo Santana, Mohamed Badawy, Haiying Lyu, Yu Liu, Naying He, Fuhua Yan, E. Mark Haacke:
In Vivo visualization of white matter fiber tracts in the brainstem using low flip angle double echo 3D gradient echo imaging at 3T. NeuroImage 300: 120857 (2024) - [j17]Suhao Qiu, Zhao He, Runke Wang, Ruokun Li, Wei Jin, Liang Chen, Jun Liu, Fuhua Yan, Guang-Zhong Yang, Yuan Feng:
Indirect Shear Wave Excitation for Brain Magnetic Resonance Elastography With Minimal Cerebral Blood Flow Alteration. IEEE Trans. Biomed. Eng. 71(9): 2590-2598 (2024) - 2023
- [j16]Mojtaba Jokar, Zhijia Jin, Pei Huang, Ying Wang, Youmin Zhang, Yan Li, Zenghui Cheng, Yu Liu, Rongbiao Tang, Xiaofeng Shi, Jihua Min, Fangtao Liu, Shengdi Chen, Naying He, E. Mark Haacke, Fuhua Yan:
Diagnosing Parkinson's disease by combining neuromelanin and iron imaging features using an automated midbrain template approach. NeuroImage 266: 119814 (2023) - [j15]Linghan Kong, Suhao Qiu, Yu Chen, Zhao He, Peiyu Huang, Qiang He, Ru-Yuan Zhang, Xi-Qiao Feng, Linhong Deng, Yao Li, Fuhua Yan, Guang-Zhong Yang, Yuan Feng:
Assessment of vibration modulated regional cerebral blood flow with MRI. NeuroImage 269: 119934 (2023) - [j14]Shengyuan Ma, Runke Wang, Suhao Qiu, Ruokun Li, Qi Yue, Qingfang Sun, Liang Chen, Fuhua Yan, Guang-Zhong Yang, Yuan Feng:
MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN). IEEE Trans. Medical Imaging 42(9): 2631-2642 (2023) - [j13]Shuai Wang, Kun Sun, Li Wang, Liangqiong Qu, Fuhua Yan, Qian Wang, Dinggang Shen:
Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4990-5001 (2023) - [c3]Junwen Liu, Zheyu Zhang, Jifeng Xiao, Zhijia Jin, Xuekun Zhang, Yuanyuan Ma, Fuhua Yan, Ning Wen:
Large Language Model Locally Fine-tuning (LLMLF) on Chinese Medical Imaging Reports. ICBDT 2023: 273-279 - 2022
- [j12]Chunguang Chu, Naying He, Kristina Zeljic, Zhen Zhang, Jiang Wang, Jun Li, Yu Liu, Youmin Zhang, Bomin Sun, Dianyou Li, Fuhua Yan, Chencheng Zhang, Chen Liu:
Subthalamic and pallidal stimulation in Parkinson's disease induce distinct brain topological reconstruction. NeuroImage 255: 119196 (2022) - [j11]Lei Zhou, Shuai Wang, Kun Sun, Tao Zhou, Fuhua Yan, Dinggang Shen:
Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI. Pattern Recognit. 129: 108723 (2022) - 2021
- [j10]Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue:
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21(1): 57 (2021) - [j9]Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68: 101910 (2021) - [j8]Naying He, Kiarash Ghassaban, Pei Huang, Mojtaba Jokar, Ying Wang, Zenghui Cheng, Zhijia Jin, Yan Li, Sean K. Sethi, Yixi He, Yongsheng Chen, Sara Gharabaghi, Shengdi Chen, Fuhua Yan, E. Mark Haacke:
Imaging iron and neuromelanin simultaneously using a single 3D gradient echo magnetization transfer sequence: Combining neuromelanin, iron and the nigrosome-1 sign as complementary imaging biomarkers in early stage Parkinson's disease. NeuroImage 230: 117810 (2021) - 2020
- [j7]Yu Liu, Junchen Li, Naying He, Yongsheng Chen, Zhijia Jin, Fuhua Yan, E. Mark Haacke:
Optimizing neuromelanin contrast in the substantia nigra and locus coeruleus using a magnetization transfer contrast prepared 3D gradient recalled echo sequence. NeuroImage 218: 116935 (2020) - [j6]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020) - [j5]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39(8): 2595-2605 (2020) - [j4]Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging 39(8): 2606-2614 (2020) - [c2]Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen:
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. MLMI@MICCAI 2020: 241-249 - [i6]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR abs/2005.02690 (2020) - [i5]Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR abs/2005.03227 (2020) - [i4]Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020) - [i3]Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph Learning for Identification of COVID-19 with CT Imaging. CoRR abs/2005.04043 (2020)
2010 – 2019
- 2019
- [j3]Hongjiang Wei, Steven Cao, Yuyao Zhang, Xiaojun Guan, Fuhua Yan, Kristen W. Yeom, Chunlei Liu:
Learning-based single-step quantitative susceptibility mapping reconstruction without brain extraction. NeuroImage 202 (2019) - [c1]Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia, Qian Tao:
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN. MICCAI (2) 2019: 623-631 - [i2]Hongjiang Wei, Steven Cao, Yuyao Zhang, Xiaojun Guan, Fuhua Yan, Kristen W. Yeom, Chunlei Liu:
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction. CoRR abs/1905.05953 (2019) - [i1]Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia, Qian Tao:
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN. CoRR abs/1910.13681 (2019) - 2018
- [j2]Yuyao Zhang, Hongjiang Wei, Matthew J. Cronin, Naying He, Fuhua Yan, Chunlei Liu:
Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping. NeuroImage 171: 176-189 (2018) - 2017
- [j1]Mark Mikkelsen, Peter B. Barker, Pallab K. Bhattacharyya, Maiken K. Brix, Pieter F. Buur, Kim M. Cecil, Kimberly L. Chan, David Y.-T. Chen, Alexander R. Craven, Koen Cuypers, Michael Dacko, Niall W. Duncan, Ulrike Dydak, David A. Edmondson, Gabriele Ende, Lars Ersland, Fei Gao, Ian Greenhouse, Ashley D. Harris, Naying He, Stefanie Heba, Nigel Hoggard, Tun-Wei Hsu, Jacobus F. A. Jansen, Alayar Kangarlu, Thomas Lange, R. Marc Lebel, Yan Li, Chien-Yuan Lin, Jy-Kang Liou, Jiing-Feng Lirng, Feng Liu, Ruoyun Ma, Celine Maes, Marta Moreno-Ortega, Scott O. Murray, Sean Noah, Ralph Noeske, Michael D. Noseworthy, Georg Oeltzschner, James J. Prisciandaro, Nicolaas A. J. Puts, Timothy P. L. Roberts, Markus Sack, Napapon Sailasuta, Muhammad G. Saleh, Michael-Paul Schallmo, Nicholas Simard, Stephan P. Swinnen, Martin Tegenthoff, Peter Truong, Guangbin Wang, Iain D. Wilkinson, Hans-Jörg Wittsack, Hongmin Xu, Fuhua Yan, Chencheng Zhang, Vadim Zipunnikov, Helge J. Zöllner, Richard A. E. Edden:
Big GABA: Edited MR spectroscopy at 24 research sites. NeuroImage 159: 32-45 (2017)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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