Hongming Li | DeepAI

AI Chat

Featured Co-authors

Robert Jenssen
59 publications
Jose C. Principe
57 publications
Hao Zheng
48 publications
Shujian Yu
39 publications
Xinge You
33 publications
Yong Fan
29 publications
Xiaofeng Zhu
25 publications
Qinmu Peng
20 publications
Ying Xiao
16 publications
Sigurd Løkse
16 publications
Zhicheng Jiao
13 publications

∙ 03/06/2023

SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images

To achieve fast, robust, and accurate reconstruction of the human cortic...

0 Hao Zheng, et al. ∙

∙ 01/27/2023

Deep Clustering Survival Machines with Interpretable Expert Distributions

Conventional survival analysis methods are typically ineffective to char...

0 Bojian Hou, et al. ∙

∙ 01/21/2023

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making

The Cauchy-Schwarz (CS) divergence was developed by Príncipe et al. in 2...

0 Shujian Yu, et al. ∙

∙ 01/16/2023

Causal Recurrent Variational Autoencoder for Medical Time Series Generation

We propose causal recurrent variational autoencoder (CR-VAE), a novel ge...

0 Hongming Li, et al. ∙

∙ 02/07/2022

Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing

We develop a new neural network based independent component analysis (IC...

0 Hongming Li, et al. ∙

∙ 12/11/2020

Unsupervised deep learning for individualized brain functional network identification

A novel unsupervised deep learning method is developed to identify indiv...

0 Hongming Li, et al. ∙

∙ 10/04/2020

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

We present a diffeomorphic image registration algorithm to learn spatial...

0 Hongming Li, et al. ∙

∙ 02/13/2020

ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation

Segmentation of brain structures from magnetic resonance (MR) scans play...

0 Yuemeng Li, et al. ∙

∙ 05/07/2019

Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation

Automatic segmentation of fine-grained brain structures remains a challe...

0 Yuemeng Li, et al. ∙

∙ 04/15/2019

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

Introduction: It is challenging at baseline to predict when and which in...

0 Hongming Li, et al. ∙

∙ 01/05/2019

Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network

It remains challenging to automatically segment kidneys in clinical ultr...

0 Shi Yin, et al. ∙

∙ 01/05/2019

Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks

Multi-modal biological, imaging, and neuropsychological markers have dem...

0 Hongming Li, et al. ∙

∙ 01/05/2019

Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer

Recent radiomic studies have witnessed promising performance of deep lea...

0 Hongming Li, et al. ∙

∙ 11/12/2018

Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images

It remains challenging to automatically segment kidneys in clinical ultr...

2 Shi Yin, et al. ∙

∙ 09/14/2018

Brain decoding from functional MRI using long short-term memory recurrent neural networks

Decoding brain functional states underlying different cognitive processe...

0 Hongming Li, et al. ∙

∙ 09/14/2018

Identification of temporal transition of functional states using recurrent neural networks from functional MRI

Dynamic functional connectivity analysis provides valuable information f...

0 Hongming Li, et al. ∙

∙ 09/14/2018

Identification of multi-scale hierarchical brain functional networks using deep matrix factorization

We present a deep semi-nonnegative matrix factorization method for ident...

0 Hongming Li, et al. ∙

∙ 01/11/2018

Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks

Brain age prediction based on neuroimaging data could help characterize ...

0 Hongming Li, et al. ∙

∙ 01/11/2018

Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data

A novel non-rigid image registration algorithm is built upon fully convo...

0 Hongming Li, et al. ∙

∙ 09/05/2017

Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data

Increasing effort in brain image analysis has been dedicated to early di...

0 Hongming Li, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world