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Hongming Li
Hongming Li
Verified email at uphs.upenn.edu
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Year
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data
H Li, M Habes, DA Wolk, Y Fan, ...
Alzheimer's & Dementia 15 (8), 1059-1070, 2019
1912019
Non-rigid image registration using self-supervised fully convolutional networks without training data
H Li, Y Fan
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
1832018
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome
C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ...
Journal of medical imaging 5 (1), 011018-011018, 2018
1772018
Individual variation in functional topography of association networks in youth
Z Cui, H Li, CH Xia, B Larsen, A Adebimpe, GL Baum, M Cieslak, RE Gur, ...
Neuron 106 (2), 340-353. e8, 2020
1712020
Method for brain tumor segmentation in multi-parametric image based on statistical information and multi-scale structure information
Y Fan, H Li
US Patent 8,908,948, 2014
1162014
Non-rigid image registration using fully convolutional networks with deep self-supervision
H Li, Y Fan
arXiv preprint arXiv:1709.00799, 2017
1052017
Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with …
H Li, M Galperin-Aizenberg, D Pryma, CB Simone II, Y Fan
Radiotherapy and Oncology 129 (2), 218-226, 2018
952018
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
S Yin, Q Peng, H Li, Z Zhang, X You, K Fischer, SL Furth, GE Tasian, ...
Medical image analysis 60, 101602, 2020
882020
Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks
H Li, TD Satterthwaite, Y Fan
2018 ieee 15th international symposium on biomedical imaging (isbi 2018 …, 2018
852018
Early prediction of Alzheimer’s disease dementia based on baseline hippocampal MRI and 1-year follow-up cognitive measures using deep recurrent neural networks
H Li, Y Fan
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019
762019
The cancer imaging phenomics toolkit (CaPTk): technical overview
S Pati, A Singh, S Rathore, A Gastounioti, M Bergman, P Ngo, SM Ha, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
642020
Disrupted functional connectivity patterns of the insula subregions in drug-free major depressive disorder
C Wang, H Wu, F Chen, J Xu, H Li, H Li, J Wang
Journal of Affective Disorders 234, 297-304, 2018
642018
Deep convolutional neural networks for imaging data based survival analysis of rectal cancer
H Li, P Boimel, J Janopaul-Naylor, H Zhong, Y Xiao, E Ben-Josef, Y Fan
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
632019
Large-scale sparse functional networks from resting state fMRI
H Li, TD Satterthwaite, Y Fan
Neuroimage 156, 1-13, 2017
552017
Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent …
H Li, Y Fan
NeuroImage 202, 116059, 2019
432019
Brain decoding from functional MRI using long short-term memory recurrent neural networks
H Li, Y Fan
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
422018
Deep ordinal ranking for multi-category diagnosis of Alzheimer's disease using hippocampal MRI data
H Li, M Habes, Y Fan
arXiv preprint arXiv:1709.01599, 2017
342017
Dissociable multi-scale patterns of development in personalized brain networks
AR Pines, B Larsen, Z Cui, VJ Sydnor, MA Bertolero, A Adebimpe, ...
Nature communications 13 (1), 2647, 2022
332022
Electroconvulsive therapy induces cortical morphological alterations in major depressive disorder revealed with surface-based morphometry analysis
J Xu, J Wang, T Bai, X Zhang, T Li, Q Hu, H Li, L Zhang, Q Wei, Y Tian, ...
International journal of neural systems 29 (07), 1950005, 2019
312019
Multi-instance deep learning with graph convolutional neural networks for diagnosis of kidney diseases using ultrasound imaging
S Yin, Q Peng, H Li, Z Zhang, X You, H Liu, K Fischer, SL Furth, ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019
312019
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