Hongming Li

发表

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

Yong Fan, Hongming Li, Yong Fan, 2019, NeuroImage.

Hierarchical organization of the functional brain identified using floating aggregation of functional signals

Hongming Li, Yong Fan, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Radiomic features from MRI distinguish myxomas from myxofibrosarcomas

Yong Fan, Hongming Li, Kumarasen Cooper, 2019, BMC Medical Imaging.

Hybrid protection algorithms based on game theory in multi-domain optical networks

Yejun Liu, Lei Guo, Lincong Zhang, 2011 .

Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks

Yong Fan, Hongming Li, Zhicheng Jiao, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks.

Qinmu Peng, Hao Huang, Jiaojian Wang, 2020, Artificial intelligence in medicine.

Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks

Qinmu Peng, Jiaojian Wang, Minhui Ouyang, 2019, bioRxiv.

A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data

Tianming Du, Hongming Li, Yong Fan, 2020, MICCAI.

Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging

Qinmu Peng, Xinge You, Yong Fan, 2019, UNSURE/CLIP@MICCAI.

MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision pdf

Hongming Li, Yong Fan, 2020, ArXiv.

Unsupervised deep learning for individualized brain functional network identification pdf

Yong Fan, Hongming Li, Yong Fan, 2020, ArXiv.

Stochastic programming approach for unidirectional quay crane scheduling problem with uncertainty

Ning Zhu, Hongming Li, Chenyi Fu, 2020 .

Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis

Yong Fan, Yuemeng Li, Ying Xiao, 2020, IEEE Transactions on Biomedical Engineering.

Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis

Yong Fan, Shi Yin, Yuemeng Li, 2019, MICCAI.

Identification of subject specific and functional consistent ROIs using semi-supervised learning

Yuhui Du, Hongming Li, Yong Fan, 2012, Medical Imaging.

Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer

Yong Fan, Ying Xiao, Hongming Li, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Cognitive Architecture for Video Games

Hongming Li, Ying Ma, Jose Principe, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Individual Variation in Control Network Topography Supports Executive Function in Youth

Christos Davatzikos, Russell T. Shinohara, Yong Fan, 2019, bioRxiv.

Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients

Yong Fan, Ying Xiao, Hongming Li, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation pdf

Yong Fan, Yuemeng Li, Hongming Li, 2020, ArXiv.

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

Qinmu Peng, Shi Yin, Yong Fan, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI pdf

Mohamad Habes, Yong Fan, Hongming Li, 2019, ArXiv.

Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks

Yanli Ji, Hongming Li, Xiaofeng Zhu, 2021, Inf. Fusion.

ePoster SessionsDeep Convolutional Neural Networks for Imaging Based Survival Analysis of Rectal Cancer Patients

Ying Xiao, Hongming Li, Haoyu Zhong, 2017 .

A DEEP LEARNING PROGNOSTIC MODEL FOR EARLY PREDICTION OF ALZHEIMER’S DISEASE BASED ON HIPPOCAMPAL MRI DATA

Mohamad Habes, Yong Fan, Hongming Li, 2018, Alzheimer's & Dementia.

Individual Variation in Functional Topography of Association Networks in Youth

Christos Davatzikos, Russell T. Shinohara, Bart Larsen, 2020, Neuron.

Multi-instance deep learning of ultrasound imaging data for pattern classification of congenital abnormalities of the kidney and urinary tract in children.

Qinmu Peng, Xinge You, Yong Fan, 2020, Urology.

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data

Mohamad Habes, Yong Fan, Hongming Li, 2019, Alzheimer's & Dementia.