Tingting Dan

Orcid: 0000-0001-6936-2649

According to our database1, Tingting Dan authored at least 43 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Weakly-supervised instance co-segmentation via tensor-based salient co-peak search.
Frontiers Comput. Sci., April, 2024

Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics.
IEEE Trans. Medical Imaging, January, 2024

TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations.
Medical Image Anal., 2024

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes.
CoRR, 2024

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations.
CoRR, 2024

Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning.
CoRR, 2024

Corrigendum to "DeepGA for automatically estimating fetal gestational age through ultrasound imaging" [Artif. Intell. Med. 135 (2023) 102453].
Artif. Intell. Medicine, 2024

Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Explainable Dementia Prediction using Functional Neuroimages and Risk Factors.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Two-Dimensional Unsupervised Feature Selection via Sparse Feature Filter.
IEEE Trans. Cybern., September, 2023

AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images.
Patterns, September, 2023

DeepGA for automatically estimating fetal gestational age through ultrasound imaging.
Artif. Intell. Medicine, January, 2023

Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

HoloBrain: A Harmonic Holography for Self-organized Brain Function.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images.
IEEE Trans. Medical Imaging, 2022

Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network.
IEEE Trans. Medical Imaging, 2022

Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning.
IEEE Trans. Cybern., 2022

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.
Medical Image Anal., 2022

Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
SGUNet: Style-guided UNet for adversely conditioned fundus image super-resolution.
Neurocomputing, 2021

Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis.
Neurocomputing, 2021

Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Detecting Brain State Changes via Manifold Mean Shifting.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning.
Neurocomputing, 2020

Single Fundus Image Super-Resolution Via Cascaded Channel-Wise Attention Network.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Coarse-to-fine Nasopharyngeal Carcinoma Segmentation in MRI via Multi-stage Rendering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018
Multi-Temporal Remote Sensing Image Registration Using Deep Convolutional Features.
IEEE Access, 2018

Multi-Scale Feature Based Land Cover Change Detection in Mountainous Terrain Using Multi-Temporal and Multi-Sensor Remote Sensing Images.
IEEE Access, 2018


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