Tingting Dan
Orcid: 0000-0001-6936-2649
According to our database1,
Tingting Dan
authored at least 33 papers
between 2018 and 2024.
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Bibliography
2024
Frontiers Comput. Sci., April, 2024
Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics.
IEEE Trans. Medical Imaging, January, 2024
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning.
CoRR, 2024
2023
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
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
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
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
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
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