Hongming Li
Orcid: 0000-0001-6934-1928
According to our database1,
Hongming Li
authored at least 67 papers
between 2009 and 2024.
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Bibliography
2024
Distributional Robustness and Inequity Mitigation in Disaster Preparedness of Humanitarian Operations.
Manuf. Serv. Oper. Manag., January, 2024
IEEE Trans. Ind. Electron., 2024
Intelligent Productivity Transformation: Corporate Market Demand Forecasting With the Aid of an AI Virtual Assistant.
J. Organ. End User Comput., 2024
2023
Exploring the Dynamic Impact between the Industries in China: New Perspective Based on Pattern Causality and Time-Varying Effect.
Syst., July, 2023
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.
NeuroImage, April, 2023
Computing personalized brain functional networks from fMRI using self-supervised deep learning.
Medical Image Anal., April, 2023
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation.
CoRR, 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Predicting Alzheimer's Disease and Quantifying Asymmetric Degeneration of the Hippocampus Using Deep Learning of Magnetic Resonance Imaging Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 8th International Conference on Control, Robotics and Cybernetics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Neural Networks, 2022
Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning.
NeuroImage, 2022
Operation performance of tram lanes with intermittent priority with the coexistence of regular and automatic vehicles.
J. Intell. Transp. Syst., 2022
Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Stochastic programming approach for unidirectional quay crane scheduling problem with uncertainty.
J. Sched., 2021
Medical Image Anal., 2021
Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks.
Inf. Fusion, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis.
IEEE Trans. Biomed. Eng., 2020
IEEE Trans. Artif. Intell., 2020
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.
Medical Image Anal., 2020
Unsupervised deep learning for individualized brain functional network identification.
CoRR, 2020
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision.
CoRR, 2020
Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks.
Artif. Intell. Medicine, 2020
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
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.
NeuroImage, 2019
Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis.
Int. J. Neural Syst., 2019
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI.
CoRR, 2019
BMC Medical Imaging, 2019
A Deep Spatial and Temporal Aggregation Framework for Video-Based Facial Expression Recognition.
IEEE Access, 2019
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Optimization of Conflicting Tram Signal Priority Requests Based on Spatiotemporal Interlocking Logic Using Microscopic Simulation.
Int. J. Softw. Eng. Knowl. Eng., 2018
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images.
CoRR, 2018
Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Non-rigid image registration using self-supervised fully convolutional networks without training data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data.
CoRR, 2017
Non-rigid image registration using fully convolutional networks with deep self-supervision.
CoRR, 2017
2016
Identification of subject-specific brain functional networks using a collaborative sparse nonnegative matrix decomposition method.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Individualized brain parcellation with integrated funcitonal and morphological information.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2014
Hierarchical organization of the functional brain identified using floating aggregation of functional signals.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013
2012
Identification of subject specific and functional consistent ROIs using semi-supervised learning.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2010
Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation.
Proceedings of the Computer Vision - ACCV 2010, 2010
2009
A new algorithm based on auxiliary virtual topology for sub-path protection in WDM optical networks.
Comput. Commun., 2009