Multi-Scale Feature Based Land Cover Change Detection in Mountainous Terrain Using Multi-Temporal and Multi-Sensor Remote Sensing Images. - Fei Song; Zhuoqian Yang; Xueyan Gao; Tingting Dan; Yang Yang 032; Wanjing Zhao; Rui Yu 004 (IEEE Access, 2018)

Multi-Temporal Remote Sensing Image Registration Using Deep Convolutional Features. - Zhuoqian Yang; Tingting Dan; Yang Yang 032 (IEEE Access, 2018)

Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration. - Tingting Dan; Zhihao Fan; Yu Hu 004; Bin Zhang 050; Guihua Tao; Hongmin Cai (BIBM, 2020)

Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources. - Tingting Dan; Yang Li 172; Ziwei Zhu 005; Xijie Chen; Wuxiu Quan; Yu Hu 004; Guihua Tao; Lei Zhu; Jijin Zhu; Yuyan Jin; Longgeng Li; Chaokai Liang; et al. (BIBM, 2020)

Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering. - Yang Li 172; Hong Peng; Tingting Dan; Yu Hu 004; Guihua Tao; Hongmin Cai (BIBM, 2020)

Single Fundus Image Super-Resolution Via Cascaded Channel-Wise Attention Network. - Zhihao Fan; Tingting Dan; Honghua Yu; Baoyi Liu; Hongmin Cai (EMBC, 2020)

Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning. - Qinjian Huang; Yue Zhang 045; Hong Peng; Tingting Dan; Wanlin Weng; Hongmin Cai (Neurocomputing, 2020)

Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China. - Tingting Dan; Yang Li 172; Ziwei Zhu 005; Xijie Chen; Wuxiu Quan; Yu Hu 004; Guihua Tao; Lei Zhu; Jijin Zhu; Hongmin Cai; Hanchun Wen (AAAI, 2021)

Detecting Brain State Changes via Manifold Mean Shifting. - Zhuobin Huang; Tingting Dan; Yi Lin; Jiazhou Chen; Hongmin Cai; Guorong Wu 001 (BIBM, 2021)

Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training. - Guihua Tao; Wentao Rong; Wanlin Weng; Tingting Dan; Bin Zhang 050; Hongmin Cai (ICANN (2), 2021)

Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. - Zhuobin Huang; Hongmin Cai; Tingting Dan; Yi Lin; Paul J. Laurienti; Guorong Wu 001 (MICCAI (7), 2021)

Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis. - Tingting Dan; Yu Hu 004; Chu Han; Zhihao Fan; Zhuobin Huang; Bin Zhang 050; Guihua Tao; Baoyi Liu; Honghua Yu; Hongmin Cai (Neurocomputing, 2021)

SGUNet: Style-guided UNet for adversely conditioned fundus image super-resolution. - Zhihao Fan; Tingting Dan; Baoyi Liu; Xiaoqi Sheng; Honghua Yu; Hongmin Cai (Neurocomputing, 2021)

Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition. - Tingting Dan; Zhuobin Huang; Hongmin Cai; Guorong Wu 001 (ISBI, 2022)

Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. - Tingting Dan; Hongmin Cai; Zhuobin Huang; Paul J. Laurienti; Won Hwa Kim; Guorong Wu 001 (MICCAI (8), 2022)

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. - Guihua Tao; Haojiang Li; Jiabin Huang 007; Chu Han; Jiazhou Chen; Guangying Ruan; Wenjie Huang; Yu Hu 004; Tingting Dan; Bin Zhang 050; Shengfeng He; Lizhi Liu; et al. (Medical Image Anal., 2022)

Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning. - Yue Zhang 045; Qinjian Huang; Bin Zhang 050; Shengfeng He; Tingting Dan; Hong Peng; Hongmin Cai (IEEE Trans. Cybern., 2022)

Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network. - Tingting Dan; Zhuobin Huang; Hongmin Cai; Paul J. Laurienti; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2022)

NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images. - Yang Li 172; Tingting Dan; Haojiang Li; Jiazhou Chen; Hong Peng; Lizhi Liu; Hongmin Cai (IEEE Trans. Medical Imaging, 2022)

HoloBrain: A Harmonic Holography for Self-organized Brain Function. - Huan Liu 017; Tingting Dan; Zhuobin Huang; Defu Yang; Won Hwa Kim; Minjeong Kim; Paul J. Laurienti; Guorong Wu 001 (IPMI, 2023)

OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network. - Hongmin Cai; Tingting Dan; Zhuobin Huang; Guorong Wu 001 (ISBI, 2023)

High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Carolyn M. McCormick; Felix A. Kyere; Minjeong Kim; David Borland; Jason L. Stein; Guorong Wu 001 (ISBI, 2023)

Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. - Tingting Dan; Minjeong Kim; Won Hwa Kim; Guorong Wu 001 (MICCAI (3), 2023)

TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. - Tingting Dan; Minjeong Kim; Won Hwa Kim; Guorong Wu 001 (MICCAI (3), 2023)

Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. - Tingting Dan; Minjeong Kim; Won Hwa Kim; Guorong Wu 001 (MICCAI (3), 2023)

A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Mustafa Dere; Guorong Wu 001 (MICCAI (4), 2023)

Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. - Tingting Dan; Jiaqi Ding; Ziquan Wei; Shahar Z. Kovalsky; Minjeong Kim; Won Hwa Kim; Guorong Wu 001 (NeurIPS, 2023)

DeepGA for automatically estimating fetal gestational age through ultrasound imaging. - Tingting Dan; Xijie Chen; Miao He; Hongmei Guo; Xiaoqin He; Jiazhou Chen; Jianbo Xian; Yu Hu 004; Bin Zhang 050; Nan Wang; Hongning Xie; Hongmin Cai (Artif. Intell. Medicine, 2023)

AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images. - Ruicun Liu; Tuoyu Liu; Tingting Dan; Shan Yang; Yanbing Li; Boyu Luo; Yingtan Zhuang; Xinyue Fan; Xianchao Zhang 002; Hongmin Cai; Yue Teng (Patterns, 2023)

Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter. - Junyu Li 001; Jiazhou Chen; Fei Qi 007; Tingting Dan; Wanlin Weng; Bin Zhang 050; Haoliang Yuan; Hongmin Cai; Cheng Zhong (IEEE Trans. Cybern., 2023)

Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. - Tingting Dan; Ziquan Wei; Won Hwa Kim; Guorong Wu 001 (ICML, 2024)

Explainable Dementia Prediction using Functional Neuroimages and Risk Factors. - Zhuoyu Shi; Tingting Dan; Patrick J. Smith; Guorong Wu 001 (ISBI, 2024)

Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling. - Chiyuen Chow; Tingting Dan; Martin Styner; Guorong Wu 001 (MICCAI (2), 2024)

A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. - Jiaqi Ding; Tingting Dan; Ziquan Wei; Paul J. Laurienti; Guorong Wu 001 (MICCAI (2), 2024)

Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. - Yanquan Huang; Tingting Dan; Won Hwa Kim; Guorong Wu 001 (MICCAI (2), 2024)

Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Paul J. Laurienti; Guorong Wu 001 (MICCAI (2), 2024)

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Guorong Wu 001 (NeurIPS, 2024)

Corrigendum to "DeepGA for automatically estimating fetal gestational age through ultrasound imaging" [Artif. Intell. Med. 135 (2023) 102453]. - Tingting Dan; Xijie Chen; Miao He; Hongmei Guo; Xiaoqin He; Jiazhou Chen; Jianbo Xian; Yu Hu 004; Bin Zhang 050; Nan Wang; Hongning Xie; Hongmin Cai (Artif. Intell. Medicine, 2024)

Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning. - Ziquan Wei; Tingting Dan; Guorong Wu 001 (CoRR, 2024)

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. - Jiaqi Ding; Tingting Dan; Ziquan Wei; Hyuna Cho; Paul J. Laurienti; Won Hwa Kim; Guorong Wu 001 (CoRR, 2024)

TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. - Tingting Dan; Mustafa Dere; Won Hwa Kim; Minjeong Kim; Guorong Wu 001 (Medical Image Anal., 2024)

Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics. - Tingting Dan; Minjeong Kim; Won Hwa Kim; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2024)

Weakly-supervised instance co-segmentation via tensor-based salient co-peak search. - Wuxiu Quan; Yu Hu 004; Tingting Dan; Junyu Li 001; Yue Zhang 045; Hongmin Cai (Frontiers Comput. Sci., 2024)

Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies. - Hyuna Cho; Ziquan Wei; Seungjoo Lee; Tingting Dan; Guorong Wu 001; Won Hwa Kim (ICLR, 2025)

Explainable Deep Model for Understanding Neuropathological Events Through Neural Symbolic Regression. - Tingting Dan; Guorong Wu 001 (IPMI (2), 2025)

A Multi-layer Neural Transport Model for Characterizing Pathology Propagation in Neurodegenerative Diseases. - Haifeng Huang; Yi Wang; Tingting Dan; Yang Yang 032; Guorong Wu 001 (IPMI (2), 2025)

Understanding the Spreading Mechanism of Tau Propagation in Alzheimers Disease Through a Multi-Layer Transport. - Yi Wang; Haifeng Huang; Tingting Dan; Yang Yang 032; Guorong Wu 001 (ISBI, 2025)

NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis. - Yexiao He; Ziyao Wang; Yuning Zhang; Tingting Dan; Tianlong Chen 001; Guorong Wu 001; Ang Li 005 (CoRR, 2025)

Revealing Cortical Spreading Pathway of Neuropathological Events by Neural Optimal Mass Transport. - Tingting Dan; Yanquan Huang; Yang Yang 032; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2025)