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2020 – today
- 2026
[j21]Jiaqi Ding
, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu:
Machine learning on dynamic functional connectivity: Promise, pitfalls, and interpretations. Inf. Sci. 740: 123184 (2026)- [j20]Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu:
NeuroDetour: A neural pathway transformer for uncovering structural-functional coupling mechanisms in human connectome. Medical Image Anal. 109: 103931 (2026) - [j19]Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu:
Scanning the Horizon of Replicability in Neuroscience: A Recipe of Developing Replicable Deep Models for Functional Neuroimages. IEEE Trans. Biomed. Eng. 73(1): 281-292 (2026) - [c32]Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu:
SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization. AAAI 2026: 1774-1782 - [c31]Ziquan Wei, Tingting Dan, Guorong Wu:
Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape. AAAI 2026: 2155-2163 - [i10]Tingting Dan, Jiaqi Ding, Guorong Wu:
GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds. CoRR abs/2601.13570 (2026) - [i9]Tingting Dan, Jiaqi Ding, Guorong Wu:
Explore Brain-Inspired Machine Intelligence for Connecting Dots on Graphs Through Holographic Blueprint of Oscillatory Synchronization. CoRR abs/2602.00057 (2026) - 2025
- [j18]Tingting Dan, Yanquan Huang, Yang Yang, Guorong Wu:
Revealing Cortical Spreading Pathway of Neuropathological Events by Neural Optimal Mass Transport. IEEE Trans. Medical Imaging 44(7): 3100-3109 (2025) - [j17]Zhixuan Zhou, Tingting Dan, Guorong Wu:
Understanding Brain Functional Dynamics Through Neural Koopman Operator With Control Mechanism. IEEE Trans. Medical Imaging 44(11): 4627-4638 (2025) - [c30]Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim:
Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies. ICLR 2025 - [c29]Tingting Dan, Guorong Wu:
Explainable Deep Model for Understanding Neuropathological Events Through Neural Symbolic Regression. IPMI (2) 2025: 37-50 - [c28]Haifeng Huang, Yi Wang, Tingting Dan, Yang Yang, Guorong Wu:
A Multi-layer Neural Transport Model for Characterizing Pathology Propagation in Neurodegenerative Diseases. IPMI (2) 2025: 51-64 - [c27]Yi Wang, Haifeng Huang, Tingting Dan, Yang Yang, Guorong Wu:
Understanding the Spreading Mechanism of Tau Propagation in Alzheimers Disease Through a Multi-Layer Transport. ISBI 2025: 1-5 - [c26]Ziquan Wei, Tingting Dan, Guorong Wu:
Brain-Environment Cross-Attention (BECA) Meta-matching: A New Perspective of Brain Connectome Zero-Shot Learning. MICCAI (12) 2025: 140-149 - [i8]Yexiao He, Ziyao Wang, Yuning Zhang, Tingting Dan, Tianlong Chen, Guorong Wu, Ang Li:
NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis. CoRR abs/2503.00510 (2025) - [i7]Ziquan Wei, Tingting Dan, Guorong Wu:
Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape. CoRR abs/2510.18910 (2025) - [i6]Tingting Dan, Xinwei Huang, Jiaqi Ding, Yinggang Zheng, Guorong Wu:
Understanding Mechanistic Role of Structural and Functional Connectivity in Tau Propagation Through Multi-Layer Modeling. CoRR abs/2510.20148 (2025) - [i5]Aaron Jacobson, Tingting Dan, Martin Styner, Guorong Wu, Shahar Z. Kovalsky, Caroline Moosmueller:
De-Individualizing fMRI Signals via Mahalanobis Whitening and Bures Geometry. CoRR abs/2511.07313 (2025) - 2024
- [j16]Tingting Dan, Xijie Chen, Miao He, Hongmei Guo, Xiaoqin He, Jiazhou Chen, Jianbo Xian, Yu Hu, Bin Zhang, Nan Wang, Hongning Xie, Hongmin Cai:
Corrigendum to "DeepGA for automatically estimating fetal gestational age through ultrasound imaging" [Artif. Intell. Med. 135 (2023) 102453]. Artif. Intell. Medicine 149: 102768 (2024) - [j15]Wuxiu Quan, Yu Hu, Tingting Dan, Junyu Li, Yue Zhang, Hongmin Cai:
Weakly-supervised instance co-segmentation via tensor-based salient co-peak search. Frontiers Comput. Sci. 18(2): 182305 (2024) - [j14]Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu:
TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. Medical Image Anal. 95: 103210 (2024) - [j13]Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics. IEEE Trans. Medical Imaging 43(1): 427-438 (2024) - [c25]Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu:
Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. ICML 2024: 9976-9990 - [c24]Zhuoyu Shi, Tingting Dan, Patrick J. Smith, Guorong Wu:
Explainable Dementia Prediction using Functional Neuroimages and Risk Factors. ISBI 2024: 1-5 - [c23]Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu:
A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. MICCAI (2) 2024: 3-13 - [c22]Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu:
Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. MICCAI (2) 2024: 367-377 - [c21]Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu:
Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. MICCAI (2) 2024: 498-508 - [c20]Chiyuen Chow, Tingting Dan, Martin Styner, Guorong Wu:
Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling. MICCAI (2) 2024: 509-518 - [c19]Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu:
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes. NeurIPS 2024 - [i4]Ziquan Wei, Tingting Dan, Guorong Wu:
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning. CoRR abs/2402.08085 (2024) - [i3]Jiaqi Ding, Tingting Dan, Ziquan Wei, Hyuna Cho, Paul J. Laurienti, Won Hwa Kim, Guorong Wu:
Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. CoRR abs/2409.11377 (2024) - [i2]Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu:
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes. CoRR abs/2409.17510 (2024) - 2023
- [j12]Tingting Dan, Xijie Chen, Miao He, Hongmei Guo, Xiaoqin He, Jiazhou Chen, Jianbo Xian, Yu Hu, Bin Zhang, Nan Wang, Hongning Xie, Hongmin Cai:
DeepGA for automatically estimating fetal gestational age through ultrasound imaging. Artif. Intell. Medicine 135: 102453 (2023) - [j11]Ruicun Liu, Tuoyu Liu, Tingting Dan, Shan Yang, Yanbing Li, Boyu Luo, Yingtan Zhuang, Xinyue Fan, Xianchao Zhang, Hongmin Cai, Yue Teng:
AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images. Patterns 4(9): 100806 (2023) - [j10]Junyu Li, Jiazhou Chen, Fei Qi, Tingting Dan, Wanlin Weng, Bin Zhang, Haoliang Yuan, Hongmin Cai, Cheng Zhong:
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter. IEEE Trans. Cybern. 53(9): 5605-5617 (2023) - [c18]Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul J. Laurienti, Guorong Wu:
HoloBrain: A Harmonic Holography for Self-organized Brain Function. IPMI 2023: 29-40 - [c17]Hongmin Cai, Tingting Dan, Zhuobin Huang, Guorong Wu:
OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network. ISBI 2023: 1-5 - [c16]Ziquan Wei, Tingting Dan, Jiaqi Ding, Carolyn M. McCormick, Felix A. Kyere, Minjeong Kim, David Borland, Jason L. Stein, Guorong Wu:
High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. ISBI 2023: 1-5 - [c15]Ziquan Wei, Tingting Dan, Jiaqi Ding, Mustafa Dere, Guorong Wu:
A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. MICCAI (4) 2023: 46-55 - [c14]Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. MICCAI (3) 2023: 66-76 - [c13]Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. MICCAI (3) 2023: 77-86 - [c12]Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. MICCAI (3) 2023: 87-96 - [c11]Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. NeurIPS 2023 - [i1]Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. CoRR abs/2307.00222 (2023) - 2022
- [j9]Guihua Tao, Haojiang Li, Jiabin Huang, Chu Han, Jiazhou Chen, Guangying Ruan, Wenjie Huang, Yu Hu, Tingting Dan, Bin Zhang, Shengfeng He, Lizhi Liu, Hongmin Cai:
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. Medical Image Anal. 78: 102381 (2022) - [j8]Yue Zhang, Qinjian Huang, Bin Zhang, Shengfeng He, Tingting Dan, Hong Peng, Hongmin Cai:
Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning. IEEE Trans. Cybern. 52(11): 11734-11746 (2022) - [j7]Yang Li, Tingting Dan, Haojiang Li, Jiazhou Chen, Hong Peng, Lizhi Liu, Hongmin Cai:
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images. IEEE Trans. Medical Imaging 41(7): 1639-1650 (2022) - [j6]Tingting Dan, Zhuobin Huang, Hongmin Cai, Paul J. Laurienti, Guorong Wu:
Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network. IEEE Trans. Medical Imaging 41(10): 2752-2763 (2022) - [c10]Tingting Dan, Zhuobin Huang, Hongmin Cai, Guorong Wu:
Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition. ISBI 2022: 1-4 - [c9]Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu:
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. MICCAI (8) 2022: 365-374 - 2021
- [j5]Tingting Dan, Yu Hu, Chu Han, Zhihao Fan, Zhuobin Huang, Bin Zhang, Guihua Tao, Baoyi Liu, Honghua Yu, Hongmin Cai:
Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis. Neurocomputing 459: 370-382 (2021) - [j4]Zhihao Fan, Tingting Dan, Baoyi Liu, Xiaoqi Sheng, Honghua Yu, Hongmin Cai:
SGUNet: Style-guided UNet for adversely conditioned fundus image super-resolution. Neurocomputing 465: 238-247 (2021) - [c8]Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Hongmin Cai, Hanchun Wen:
Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China. AAAI 2021: 4804-4811 - [c7]Zhuobin Huang, Tingting Dan, Yi Lin, Jiazhou Chen, Hongmin Cai, Guorong Wu:
Detecting Brain State Changes via Manifold Mean Shifting. BIBM 2021: 1335-1338 - [c6]Guihua Tao, Wentao Rong, Wanlin Weng, Tingting Dan, Bin Zhang, Hongmin Cai:
Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training. ICANN (2) 2021: 307-318 - [c5]Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu:
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. MICCAI (7) 2021: 543-552 - 2020
- [j3]Qinjian Huang, Yue Zhang, Hong Peng, Tingting Dan, Wanlin Weng, Hongmin Cai:
Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning. Neurocomputing 404: 340-350 (2020) - [c4]Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Yuyan Jin, Longgeng Li, Chaokai Liang, Hanchun Wen, Hongmin Cai:
Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources. BIBM 2020: 555-561 - [c3]Yang Li, Hong Peng, Tingting Dan, Yu Hu, Guihua Tao, Hongmin Cai:
Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering. BIBM 2020: 623-628 - [c2]Tingting Dan, Zhihao Fan, Yu Hu, Bin Zhang, Guihua Tao, Hongmin Cai:
Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration. BIBM 2020: 980-984 - [c1]Zhihao Fan, Tingting Dan, Honghua Yu, Baoyi Liu, Hongmin Cai:
Single Fundus Image Super-Resolution Via Cascaded Channel-Wise Attention Network. EMBC 2020: 1984-1987
2010 – 2019
- 2018
- [j2]Zhuoqian Yang, Tingting Dan, Yang Yang:
Multi-Temporal Remote Sensing Image Registration Using Deep Convolutional Features. IEEE Access 6: 38544-38555 (2018) - [j1]Fei Song, Zhuoqian Yang, Xueyan Gao, Tingting Dan, Yang Yang, Wanjing Zhao, Rui Yu:
Multi-Scale Feature Based Land Cover Change Detection in Mountainous Terrain Using Multi-Temporal and Multi-Sensor Remote Sensing Images. IEEE Access 6: 77494-77508 (2018)
Coauthor Index
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last updated on 2026-04-12 02:04 CEST by the dblp team
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