Dinggang Shen

University of North Carolina at Chapel Hill — United States

Computer Science · Physical Sciences

143h-index83.1kcitations2.1kworks4.52yr avg
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Research Topics

Medical Image Segmentation Techniques(582), Functional Brain Connectivity Studies(383), Advanced Neuroimaging Techniques and Applications(358), Advanced MRI Techniques and Applications(295), Radiomics and Machine Learning in Medical Imaging(272)

Publications2.1k total

Deciphering age- and sex-specific patterns of coronary artery atherosclerosis from a large Chinese cohort
Nature Communications·2025· 1 citedOpen Access
Prompt engineering for healthcare: Methodologies and applications
Meta-Radiology·2025· 3 citedOpen Access
Toward neuroimaging-based diagnostic support: a deep learning approach with a closed-loop system for psychiatric classification
iScience·2025Open Access
A novel AI-powered radiographic analysis surpasses specialists in stage II–IV periodontitis detection: a multicenter diagnostic study
npj Digital Medicine·2025· 1 citedOpen Access
X-IONet: Cross-Platform Inertial Odometry Network with Dual-Stage Attention
arXiv (Cornell University)·2025Open Access
Multi-Contrast MRI Super-Resolution in Brain Tumors: Arbitrary-Scale Implicit Sampling and Unsupervised Fine-Tuning
IEEE Transactions on Medical Imaging·2025
MGTP: Multi-Granularity Textual Prompts for Low-Dose Brain PET Image Denoising via Adversarial Diffusion Model
IEEE Journal of Biomedical and Health Informatics·2025
Deep-learning-based HER2 status assessment from multimodal breast cancer data predicts neoadjuvant therapy response
Nature Biomedical Engineering·2025· 2 cited
Enhancing SNR of CEST MRI Through Noise‐to‐Noise Deep Learning With K‐Space Data Consistency
NMR in Biomedicine·2025Open Access
CoMoSeg: Anatomical Consistency and Cross Modality Guidance for Robust Brain Tumor Segmentation Using Partially Labeled MR Sequences
Lecture notes in computer science·2025
Uncovering A$$\beta $$ Accumulation Patterns via Multi-modal Latent Space Clustering Using Residual Diffusion Model
Lecture notes in computer science·2025
Erratum to “Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing” [Med. Image Anal. 28 (2016)1–12]
UNC Libraries·2025Open Access
A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction
Lecture notes in computer science·2025
Brain Connectivity Network Structure Learning For Brain Disorder Diagnosis
arXiv (Cornell University)·2025Open Access
Wavelet-Driven Decoupling and Physics-Informed Mapping Network for Accelerated Multi-parametric MR Imaging
Lecture notes in computer science·2025
Correction to “Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning” [Jul 16 1505-1516]
UNC Libraries·2025Open Access
Adapting Foundation Model for Dental Caries Detection with Dual-View Co-training
Lecture notes in computer science·2025· 1 cited
Sparsely Labeled fMRI Data Denoising with Meta-learning-Based Semi-supervised Domain Adaptation
Lecture notes in computer science·2025
A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms
Lecture notes in computer science·2025
Tumor Segmentation with Heterogeneity Clustering in Non-Contrast Breast MRI
Lecture notes in computer science·2025
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Frequent Co-authors

Heung‐Il Suk(7), Li Wang(7), Weili Lin(7), Pew‐Thian Yap(7), John H. Gilmore(6), Feng Shi(6), Daoqiang Zhang(5), Dong Nie(5), Qian Wang(5), Christos Davatzikos(5), Seong‐Whan Lee(4), Shuiwang Ji(3), Hongtu Zhu(3), Yaozong Gao(3), Jun Zhang(3), Yong Fan(3), Lei Wang(3), Ehsan Adeli(3), Guorong Wu(2), Luping Zhou(2)