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 | 157 | 2018 |
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 | 147 | 2018 |
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 | 139 | 2019 |
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 | 124 | 2020 |
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 | 113 | 2014 |
Non-rigid image registration using fully convolutional networks with deep self-supervision H Li, Y Fan arXiv preprint arXiv:1709.00799, 2017 | 88 | 2017 |
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 | 81 | 2018 |
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 | 75 | 2018 |
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 | 57 | 2020 |
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 | 56 | 2018 |
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 | 50 | 2019 |
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 | 50 | 2019 |
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 | 47 | 2020 |
Large-scale sparse functional networks from resting state fMRI H Li, TD Satterthwaite, Y Fan Neuroimage 156, 1-13, 2017 | 44 | 2017 |
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 | 36 | 2018 |
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 | 35 | 2019 |
Label Propagation with Robust Initialization for Brain Tumor Segmentation H Li, Y Fan Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, 2012 | 29 | 2012 |
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 | 28 | 2017 |
SUVmax/THKmax as a Biomarker for Distinguishing Advanced Gastric Carcinoma from Primary Gastric Lymphoma L Fu, H Li, H Wang, B Xu, Y Fan, J Tian PLoS ONE 7 (12), 2012 | 28 | 2012 |
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 | 26 | 2019 |