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Neuroimage|October 24, 2022
Computation of transcranial magnetic stimulation electric fields using self-supervised deep learningHongming Li, Zhi-De Deng, Desmond Oathes, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|June 16, 2019
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging dataHongming Li, Mohamad Habes, David A Wolk, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2020
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI DataChongyue Zhao, Hongming Li, Zhicheng Jiao, et al.
Biorxiv : the Preprint Server for Biology|January 7, 2025
dFCExpert: Learning Dynamic Functional Connectivity Patterns with Modularity and State ExpertsTingting Chen, Hongming Li, Hao Zheng, et al.
BMC Medical Imaging|August 17, 2019
Radiomic features from MRI distinguish myxomas from myxofibrosarcomasTeresa Martin-Carreras, Hongming Li, Kumarasen Cooper, et al.
Plos One|December 11, 2012
SUVmax/THKmax as a biomarker for distinguishing advanced gastric carcinoma from primary gastric lymphomaLiping Fu, Hongming Li, Hui Wang, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 6, 2025
Enhancing Whole Slide Image Classification with Discriminative and Contrastive LearningPeixian Liang, Hao Zheng, Hongming Li, et al.
Biorxiv : the Preprint Server for Biology|December 23, 2024
SegCSR: Weakly-Supervised Cortical Surfaces Reconstruction from Brain Ribbon SegmentationsHao Zheng, Xiaoyang Chen, Hongming Li, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 4, 2023
Deep Clustering Survival Machines with Interpretable Expert DistributionsBojian Hou, Hongming Li, Zhicheng Jiao, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 27, 2018
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 therapyHongming Li, Maya Galperin-Aizenberg, Daniel Pryma, et al.
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