Tao Tan
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports.
Vis. Comput. Ind. Biomed. Art, December, 2025
PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement.
CoRR, September, 2025
Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation.
CoRR, August, 2025
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries.
CoRR, July, 2025
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging.
CoRR, June, 2025
CoRR, March, 2025
Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark.
CoRR, March, 2025
Mach. Vis. Appl., January, 2025
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning.
Artif. Intell. Medicine, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
SAMASK-CLTR: A Spatial-Aware Mask Guided Learning Model for Benign and Malignant Tumor Classification in ABUS.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
An end-to-end multi-task deep learning framework for bronchoscopy image classification.
Multim. Syst., December, 2024
Ann. Math. Artif. Intell., December, 2024
J. Comput. Appl. Math., May, 2024
IEEE J. Biomed. Health Informatics, March, 2024
Vis. Intell., 2024
Optimization design of a new variable type hierarchical fuzzy system with interpretability improvement.
Inf. Sci., 2024
Frontiers Neuroinformatics, 2024
Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise.
CoRR, 2024
CoRR, 2024
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching.
CoRR, 2024
2023
MimicNet: Mimicking manual delineation of human expert for brain tumor segmentation from multimodal MRIs.
Appl. Soft Comput., August, 2023
Displays, July, 2023
A data-driven fuzzy system for the automatic determination of fuzzy set type based on fuzziness.
Inf. Sci., 2023
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.
Neurocomputing, 2022
EfficientNet-YOLOv5: Improved YOLOv5 Based on EfficientNet Backbone for Object Detection on Marine Microalgae.
Proceedings of the 6th International Conference on Universal Village, 2022
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022
RGA-Unet: An improved U-net segmentation model based on residual grouped convolution and convolutional block attention module for brain tumor MRI image segmentation.
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022
Proceedings of the 18th International Conference on Computational Intelligence and Security, 2022
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
The Evaluation Indicators of X-ray Radiographs for Femoroacetabular Impingement Syndrome.
J. Medical Imaging Health Informatics, 2021
CoRR, 2021
Cystoscopic Image Classification by Unsupervised Feature Learning and Fusion of Classifiers.
IEEE Access, 2021
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2020
Artif. Intell. Rev., 2020
2019
Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study.
Sensors, 2019
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach.
Knowl. Based Syst., 2019
Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model.
Frontiers Neuroinformatics, 2019
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model.
IEEE Trans. Medical Imaging, 2018
An Improved U-Net Architecture for Simultaneous Arteriole and Venule Segmentation in Fundus Image.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018
2015
Proceedings of the IEEE International Conference on Consumer Electronics, 2015
2012
J. Comput., 2012
A log-exponential smoothing method for mathematical programs with complementarity constraints.
Appl. Math. Comput., 2012
2011
J. Optim. Theory Appl., 2011
Appl. Math. Comput., 2011
An Efficient Algorithm of Association Information Mining on Web Pages with Dynamic Scripts.
Proceedings of the Emerging Research in Web Information Systems and Mining, 2011
2009
Proceedings of the International Forum on Information Technology and Applications, 2009
2008
Comput. Optim. Appl., 2008