Author

Hong Zheng

University of Southern CaliforniaORCID 0000-0002-3909-7626Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Paul M. ThompsoniD· 2 shared Sophia I. ThomopoulosiD· 2 shared Alice BalleriniiD· 1 shared Amit SinghiD· 1 shared Andrew PerryiD· 1 shared Angelo LabateiD· 1 shared Anna Elisabetta VaudanoiD· 1 shared Antonella RivaiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Paul M. ThompsonORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA-Epilepsy study

Rebecca Kerestes, Andrew Perry, Lucy E. Vivash, Terence John O'Brien, Marina K. M. Alvim, Donatello Arienzo, Ítalo Karmann Aventurato, Alice Ballerini, Gabriel Ferri Baltazar, Núria Bargalló, Benjamin Bender, Ricardo Brioschi, Eva Bürkle, Maria Eugenia Caligiuri, Fernando Cendes, , Ian H. Harding

This study identifies subregional cerebellar atrophy patterns in epilepsy syndromes using MRI data from 1,602 patients and 1,022 controls, finding significant volume loss in posterior lobe regions.

Epilepsia · Feb 27, 2024Peer-reviewedNeuroscience

Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural Networks

Tamoghna Chattopadhyay, Amit Singh, Neha Ann Joshy, Sophia I. Thomopoulos, Talia M. Nir, Hong Zheng, Elnaz Nourollahimoghadam, Umang Gupta, Greg Ver Steeg, Neda Jahanshad, Paul M. Thompson, the Alzheimer’s Disease Neuroimaging Initiative

This paper uses deep 3D CNNs combining anatomical and diffusion MRI to predict dementia severity and brain age, finding that diffusion MRI improves performance over anatomical MRI alone.

International Symposium on Medical Information Processing and Analysis (SIPAIM) · Mar 6, 2023Peer-reviewedNeuroscience