← Authors

Dinggang Shen

53 papers · 2013–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (44) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (5) 🌍 Conference Polyglot (6) 🏠 Conference Loyalist (33) 🀝 Dynamic Duo (10) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (113) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (53) ⚑ Prolific Year (20)

Conferences

MICCAI (33) CVPR (7) AAAI (5) NIPS (4) IJCAI (3) ECCV (1)

Top co-authors

Kaicong Sun (10) Zhiming Cui (9) Caiwen Jiang (8) Han Zhang (6) Feng Shi (5) Lin Teng (4) Runqi Meng (4) Yaozong Gao (4) Yuxiao Liu (4) Feihong Liu (3)

Keywords

medical imaging (6) alzheimer disease (4) convolutional neural network (3) eye tracking (2) alzheimer disease diagnosis (2) image segmentation (2) feature selection (2) alzheimer's disease (2) deep neural network (2) encoder-decoder architecture (2) multi-modal learning (2) transductive learning (1) semi-supervised learning (1) fisher kernel (1) scene understanding (1) sparse coding (1) adversarial learning (1) contrastive learning (1) manifold learning (1) attention mechanism (1)

Papers

Task-aligned fMRI Generation Model for Brain Disorder Diagnosis MICCAI 2025
Sparsely Labeled fMRI Data Denoising with Meta-Learning-Based Semi-Supervised Domain Adaptation MICCAI 2025
Unisyn: A Generative Foundation Model for Universal Medical Image Synthesis across MRI, CT and PET MICCAI 2025
Wavelet-driven Decoupling and Physics-informed Mapping Network for Accelerated Multi-parametric MR Imaging MICCAI 2025
Predicting Alzheimer’s Disease Progression Using a Regression-based Survival Model with Longitudinal Data MICCAI 2025
Neuro-AMS: Neuro-informed Age-aware and Medical Knowledge-integrated Strategy for Diagnosis of Multiple Brain Disorders MICCAI 2025
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts MICCAI 2025
MAK-GAN: Multi-level Adaptive Convolutional Kernels for Asymmetric Multi-modal PET Reconstruction MICCAI 2025
Location-Guided Automated Lesion Captioning in Whole-body PET/CT Images MICCAI 2025
Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction MICCAI 2025
HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction MICCAI 2025
Graph-based Neighbor-Aware Network for Gaze-Supervised Medical Image Segmentation MICCAI 2025
AΞ²-PET Pattern Prediction via Graph Reconstruction-Aware Fusion (GRAF) of Functional and Structural Networks MICCAI 2025
A Curvature-Guided Diffeomorphic Mesh Deformation Framework for Lifespan Brain Cortical Surface Reconstruction MICCAI 2025
A New Paradigm for Low-dose PET/CT Reconstruction with Mamba-powered Progressive Network and Physics-informed Consistency MICCAI 2025
A Semi-Supervised Knowledge Distillation Framework for Left Ventricle Segmentation and Landmark Detection in Echocardiograms MICCAI 2025
Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training MICCAI 2025
Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis MICCAI 2025
BME2: A Plug-and-Play Bridge-Based Module for Misalignment Estimation and Elimination in Multi-Scan Image Restoration MICCAI 2025
Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI MICCAI 2025
UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation MICCAI 2024
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NIPS 2024
NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images AAAI 2024
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis AAAI 2024
A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI IJCAI 2024
A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer’s Disease Diagnosis MICCAI 2024
Cephalometric Landmark Detection across Ages with Prototypical Network MICCAI 2024
Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction MICCAI 2024
Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets MICCAI 2024
HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction MICCAI 2024
Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network MICCAI 2024
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation MICCAI 2024
k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging MICCAI 2024
LM-UNet: Whole-body PET-CT Lesion Segmentation with Dual-Modality-based Annotations Driven by Latent Mamba U-Net MICCAI 2024
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion MICCAI 2024
Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images MICCAI 2024
TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs MICCAI 2024
Forecasting Human Trajectory from Scene History NIPS 2022
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation CVPR 2021
Non-Local U-Nets for Biomedical Image Segmentation AAAI 2020
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis AAAI 2020
Decoding EEG by Visual-guided Deep Neural Networks IJCAI 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation AAAI 2019
Contour Knowledge Transfer for Salient Object Detection ECCV 2018
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017
Regularized Modal Regression with Applications in Cognitive Impairment Prediction NIPS 2017
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NIPS 2015
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis CVPR 2014
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis CVPR 2014
Learning-Based Atlas Selection for Multiple-Atlas Segmentation CVPR 2014
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso CVPR 2013
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013
Groupwise Registration via Graph Shrinkage on the Image Manifold CVPR 2013