| 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 | 197 | 2019 |
| 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 | 187 | 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 | 184 | 2018 |
| 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 | 176 | 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 | 116 | 2014 |
| Non-rigid image registration using fully convolutional networks with deep self-supervision H Li, Y Fan arXiv preprint arXiv:1709.00799, 2017 | 106 | 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 | 96 | 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 | 89 | 2020 |
| 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 | 88 | 2018 |
| 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 | 79 | 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 | 66 | 2020 |
| 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 | 64 | 2019 |
| 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 | 64 | 2018 |
| Large-scale sparse functional networks from resting state fMRI H Li, TD Satterthwaite, Y Fan Neuroimage 156, 1-13, 2017 | 57 | 2017 |
| 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 | 45 | 2019 |
| 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 | 44 | 2018 |
| 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 | 36 | 2022 |
| 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 | 34 | 2019 |
| 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 | 34 | 2017 |
| 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 | 32 | 2019 |
Yong FanUniversity of PennsylvaniaDirección de correo verificada de ieee.org
