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Hong-Ming Li · SciRah

Researcher profile · Semantic Scholar

Hong-Ming Li

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Hong-Ming Li — researcher profile on SciRah

h-index: 29
Works: 99
Citations: 2,890

Most-cited papers

Individual Variation in Functional Topography of Association Networks in Youth
Z. Cui, Hong-Ming Li, C. Xia, Bart Larsen +17 more
2020Neuron263 citations Open access
Semantic Scholar
A deep learning model for early prediction of Alzheimer’s disease dementia based on hippocampal MRI
Hong-Ming Li, Mohamad Habes, D. Wolk, Yong Fan
2019Alzheimer's & Dementia223 citations Open access
Semantic Scholar
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome
C. Davatzikos, Saima Rathore, S. Bakas, Sarthak Pati +21 more
2018Journal of Medical Imaging202 citations Open access
Semantic Scholar
NON-RIGID IMAGE REGISTRATION USING SELF-SUPERVISED FULLY CONVOLUTIONAL NETWORKS WITHOUT TRAINING DATA
Hong-Ming Li, Yong Fan
2018IEEE International Symposium on Biomedical Imaging168 citations Open access
Semantic Scholar
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
Shi Yin, Qin-Mu Peng, Hong-Ming Li, Zheng-Qiang Zhang +5 more
2018Medical Image Anal.110 citations Open access
Semantic Scholar
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview
Sarthak Pati, Ashish Singh, Saima Rathore, A. Gastounioti +21 more
2019Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes109 citations Open access
Semantic Scholar
Non-rigid image registration using fully convolutional networks with deep self-supervision
Hong-Ming Li, Yong Fan
2017arXiv.org97 citations
Semantic Scholar
Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy
Hong-Ming Li, M. Galperin-Aizenberg, D. Pryma, Charles B. Ii Simone +1 more
2018Radiotherapy and Oncology89 citations Open access
Semantic Scholar
Dissociable multi-scale patterns of development in personalized brain networks
A. Pines, Bart Larsen, Z. Cui, Valerie J. Sydnor +19 more
2021Nature Communications88 citations Open access
Semantic Scholar
BRAIN AGE PREDICTION BASED ON RESTING-STATE FUNCTIONAL CONNECTIVITY PATTERNS USING CONVOLUTIONAL NEURAL NETWORKS
Hong-Ming Li, T. Satterthwaite, Yong Fan
2018IEEE International Symposium on Biomedical Imaging87 citations Open access
Semantic Scholar
Large-scale sparse functional networks from resting state fMRI
Hong-Ming Li, T. Satterthwaite, Yong Fan
2017NeuroImage83 citations Open access
Semantic Scholar
EARLY PREDICTION OF ALZHEIMER’S DISEASE DEMENTIA BASED ON BASELINE HIPPOCAMPAL MRI AND 1-YEAR FOLLOW-UP COGNITIVE MEASURES USING DEEP RECURRENT NEURAL NETWORKS
Hong-Ming Li, Yong Fan
2019IEEE International Symposium on Biomedical Imaging73 citations Open access
Semantic Scholar
Disrupted functional connectivity patterns of the insula subregions in drug-free major depressive disorder.
Chao Wang, Huawang Wu, Fangfang Chen, Jinping Xu +3 more
2017Journal of Affective Disorders70 citations
Semantic Scholar
Personalized functional brain network topography is associated with individual differences in youth cognition
Arielle S. Keller, A. Pines, Sheila Shanmugan, Valerie J. Sydnor +21 more
2023Nature Communications69 citations Open access
Semantic Scholar
Sex differences in the functional topography of association networks in youth
Sheila Shanmugan, Jakob Seidlitz, Z. Cui, A. Adebimpe +17 more
2022Proceedings of the National Academy of Sciences of the United States of America67 citations Open access
Semantic Scholar
Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth
Z. Cui, A. Pines, Bart Larsen, Valerie J. Sydnor +17 more
2021bioRxiv61 citations Open access
Semantic Scholar
Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks
Hong-Ming Li, Yong Fan
2019NeuroImage56 citations Open access
Semantic Scholar
DEEP CONVOLUTIONAL NEURAL NETWORKS FOR IMAGING DATA BASED SURVIVAL ANALYSIS OF RECTAL CANCER
Hong-Ming Li, P. Boimel, James Janopaul-Naylor, H. Zhong +3 more
2019IEEE International Symposium on Biomedical Imaging48 citations Open access
Semantic Scholar
Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks
Hong-Ming Li, Yong Fan
2018International Conference on Medical Image Computing and Computer-Assisted Intervention48 citations Open access
Semantic Scholar
Computing personalized brain functional networks from fMRI using self-supervised deep learning
Hong-Ming Li, D. Srinivasan, C. Zhuo, Z. Cui +6 more
2021bioRxiv47 citations Open access
Semantic Scholar
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation
Yue-Meng Li, Hong-Ming Li, Yong Fan
2020Medical Image Anal.39 citations Open access
Semantic Scholar
Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis
Jinping Xu, Jiao-Jian Wang, Tong-Jian Bai, Xiao-Dong Zhang +7 more
2019International Journal of Neural Systems39 citations Open access
Semantic Scholar
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data
Hong-Ming Li, Mohamad Habes, Yong Fan
2017arXiv.org39 citations
Semantic Scholar
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging
Shi Yin, Qin-Mu Peng, Hong-Ming Li, Zheng-Qiang Zhang +6 more
2019UNSURE/CLIP@MICCAI35 citations
Semantic Scholar
A general exposome factor explains individual differences in functional brain network topography and cognition in youth
Arielle S. Keller, Tyler M. Moore, Audrey C. Luo, E. Visoki +15 more
2023bioRxiv33 citations Open access
Semantic Scholar
Multi-instance deep learning of ultrasound imaging data for pattern classification of congenital abnormalities of the kidney and urinary tract in children
Shi Yin, Qin-Mu Peng, Hong-Ming Li, Zheng-Qiang Zhang +5 more
2020Urology32 citations Open access
Semantic Scholar
FULLY-AUTOMATIC SEGMENTATION OF KIDNEYS IN CLINICAL ULTRASOUND IMAGES USING A BOUNDARY DISTANCE REGRESSION NETWORK
Shi Yin, Zheng-Qiang Zhang, Hong-Ming Li, Qin-Mu Peng +4 more
2019IEEE International Symposium on Biomedical Imaging31 citations Open access
Semantic Scholar
Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With Stereotactic Body Radiation Therapy
Z. Jiao, Hong-Ming Li, Ying Xiao, J. Dorsey +4 more
2021International Journal of Radiation Oncology, Biology, Physics30 citations Open access
Semantic Scholar
Prediction of childhood maltreatment and subtypes with personalized functional connectome of large‐scale brain networks
Jiang Zhang, Tianyu Zhao, Jing-Yue Zhang, Zhiwei Zhang +5 more
2022Human Brain Mapping29 citations Open access
Semantic Scholar
Tumor border sharpness correlates with HLA-G expression in low-grade gliomas.
Yin-Yan Wang, Xing Fan, Hong-Ming Li, Zhiguo Lin +6 more
2015Journal of Neuroimmunology27 citations
Semantic Scholar
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study
Zhen Zhou, Hong-Ming Li, D. Srinivasan, A. Abdulkadir +13 more
2023NeuroImage26 citations Open access
Semantic Scholar
Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning
Hong-Ming Li, Zhi-De Deng, D. Oathes, Yong Fan
2021bioRxiv24 citations Open access
Semantic Scholar
MDReg‐Net: Multi‐resolution diffeomorphic image registration using fully convolutional networks with deep self‐supervision
Hong-Ming Li, Yong Fan
2020Human Brain Mapping24 citations Open access
Semantic Scholar
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data
Chong-Yue Zhao, Hong-Ming Li, Z. Jiao, Tianming Du +1 more
2020International Conference on Medical Image Computing and Computer-Assisted Intervention22 citations Open access
Semantic Scholar
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI
Hong-Ming Li, Mohamad Habes, D. Wolk, Yong Fan
2019arXiv.org22 citations
Semantic Scholar
Label propagation with robust initialization for brain tumor segmentation
Hong-Ming Li, Yong Fan
2012IEEE International Symposium on Biomedical Imaging22 citations
Semantic Scholar
SUVmax/THKmax as a Biomarker for Distinguishing Advanced Gastric Carcinoma from Primary Gastric Lymphoma
L. Fu, Hong-Ming Li, Hui Wang, Bai-Xuan Xu +2 more
2012PLoS ONE21 citations Open access
Semantic Scholar
Radiomic features from MRI distinguish myxomas from myxofibrosarcomas
Teresa T. Martin-Carreras, Hong-Ming Li, K. Cooper, Yong Fan +1 more
2019BMC Medical Imaging20 citations Open access
Semantic Scholar
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks
Xiaofeng Zhu, Hong-Ming Li, Heng-Tao Shen, Zheng Zhang +2 more
2021Information Fusion19 citations
Semantic Scholar
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization
Hong-Ming Li, Xiaofeng Zhu, Yong Fan
2018International Conference on Medical Image Computing and Computer-Assisted Intervention19 citations Open access
Semantic Scholar
Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks
Qin-Mu Peng, M. Ouyang, Jiao-Jian Wang, Qinlin Yu +6 more
2019bioRxiv18 citations Open access
Semantic Scholar
A comprehensive characterization of hippocampal feature ensemble serves as individualized brain signature for Alzheimer’s disease: deep learning analysis in 3238 participants worldwide
Yi-Yu Zhang, Hong-Ming Li, Q. Zheng
2023European Radiology17 citations
Semantic Scholar
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
Xiaoyang Chen, Hao Zheng, Yue-Meng Li, Yuncong Ma +3 more
2023Computer Vision and Pattern Recognition17 citations Open access
Semantic Scholar
Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation
Hong-Ming Li, Ming Song, Yong Fan
2010Asian Conference on Computer Vision14 citations
Semantic Scholar
Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks
Z. Jiao, Hong-Ming Li, Yong Fan
2020IEEE International Symposium on Biomedical Imaging13 citations Open access
Semantic Scholar
Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI
Hong-Ming Li, Yong Fan
2018International Conference on Medical Image Computing and Computer-Assisted Intervention12 citations Open access
Semantic Scholar
Identification of subject specific and functional consistent ROIs using semi-supervised learning
Yu-Hui Du, Hong-Ming Li, Hong Wu, Yong Fan
2012Medical Imaging12 citations
Semantic Scholar
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation
Hao Zheng, Hong-Ming Li, Yong Fan
2023Neural Information Processing Systems11 citations
Semantic Scholar
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis
Hang-Fan Liu, Hong-Ming Li, Mohamad Habes, Yue-Meng Li +5 more
2020IEEE Transactions on Biomedical Engineering11 citations Open access
Semantic Scholar
Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging Data
Shi Yin, Qin-Mu Peng, Hong-Ming Li, Zheng-Qiang Zhang +5 more
2020IEEE International Symposium on Biomedical Imaging11 citations Open access
Semantic Scholar

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