Tao Tan
Orcid: 0000-0002-5573-1105
According to our database1,
Tao Tan
authored at least 113 papers
between 2008 and 2024.
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Bibliography
2024
J. Comput. Appl. Math., May, 2024
ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images.
IEEE J. Biomed. Health Informatics, March, 2024
IEEE J. Biomed. Health Informatics, March, 2024
A 40.6% Tuning Range Low-Phase-Noise Class-F<sub>-1/3</sub> VCO Using Simultaneous Frequency and Harmonic-Mode Switching.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
Medical Image Anal., February, 2024
Commutative encryption and watermarking algorithm based on compound chaotic systems and zero-watermarking for vector map.
Comput. Geosci., February, 2024
Robust watermarking algorithm based on mahalanobis distance and ISS feature point for 3D point cloud data.
Earth Sci. Informatics, February, 2024
Biomed. Signal Process. Control., February, 2024
Cross Section Deformation Correction of Flexible Tentacle Shape Based on Fiber Bragg Grating.
IEEE Trans. Instrum. Meas., 2024
LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning.
CoRR, 2024
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.
CoRR, 2024
2023
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation.
Vis. Comput. Ind. Biomed. Art, December, 2023
Adv. Intell. Syst., December, 2023
Artif. Intell. Rev., October, 2023
PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis.
Vis. Comput., August, 2023
TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution.
Vis. Comput., August, 2023
MimicNet: Mimicking manual delineation of human expert for brain tumor segmentation from multimodal MRIs.
Appl. Soft Comput., August, 2023
LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results.
Displays, July, 2023
Displays, July, 2023
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data.
Biomed. Signal Process. Control., July, 2023
A data-driven fuzzy system for the automatic determination of fuzzy set type based on fuzziness.
Inf. Sci., 2023
Distance Guided Generative Adversarial Network for Explainable Binary Classifications.
CoRR, 2023
Aurora: Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning.
CoRR, 2023
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation.
CoRR, 2023
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification.
CoRR, 2023
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation.
CoRR, 2023
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation.
CoRR, 2023
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.
CoRR, 2023
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification.
CoRR, 2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
CoRR, 2023
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
SVM in Classification of stage 0~II and III~IV with Breast Cancer : A Retrospective Cohort Study on a bicentric cohort.
Proceedings of the 2023 International Conference on Computer, 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
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
A Hybrid Supervised Fusion Deep Learning Framework for Microscope Multi-Focus Images.
Proceedings of the Advances in Computer Graphics, 2023
Controllable Deep Learning Denoising Model for Ultrasound Images Using Synthetic Noisy Image.
Proceedings of the Advances in Computer Graphics, 2023
Improved YOLOX Framework for Automatic Large Intracranial Artery Stenosis Detection in Digital Subtraction Angiography Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Instrum. Meas., 2022
Accuracy Improvement of Residual Stress Measurements in the Tube by FBG Using the Genetic Algorithm.
IEEE Trans. Instrum. Meas., 2022
Research on Monitoring the Transmission Line Tension and Galloping Based on FBG Fitting Sensor.
IEEE Trans. Instrum. Meas., 2022
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.
Neurocomputing, 2022
A low-power amplitude shift keying modulator based on adaptive body-biased injection-locked current-reuse voltage controlled oscillator for high data rate radio frequency identification applications.
Int. J. Circuit Theory Appl., 2022
CMOS X-band pole-converging triple-cascode LNA with low-noise and wideband performance.
IET Circuits Devices Syst., 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
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Instrum. Meas., 2021
Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets.
IEEE ACM Trans. Comput. Biol. Bioinform., 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
IEEE J. Biomed. Health Informatics, 2020
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019.
CoRR, 2020
CoRR, 2020
Artif. Intell. Rev., 2020
Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
IEEE Trans. Instrum. Meas., 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
Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets.
CoRR, 2019
A fully automated pipeline of extracting biomarkers to quantify vascular changes in retina-related diseases.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
SLAOE-NN: A Deep Network with Structure Learning for Aspect and Opining co-Extraction for NLP.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
CoRR, 2018
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning.
CoRR, 2018
Comput. Methods Programs Biomed., 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
Transmission line galloping induced dynamic strain measurement of an angle brace based power transmission tower by FBG sensors.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
2017
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.
CoRR, 2017
2016
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Automated linking of suspicious findings between automated 3D breast ultrasound volumes.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
Proceedings of the IEEE International Conference on Consumer Electronics, 2015
2014
Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS).
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2013
IEEE Trans. Medical Imaging, September, 2013
Medical Image Anal., 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation.
IEEE Trans. Medical Imaging, 2012
J. Comput., 2012
A log-exponential smoothing method for mathematical programs with complementarity constraints.
Appl. Math. Comput., 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 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
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2009
Proceedings of the International Forum on Information Technology and Applications, 2009
2008
Comput. Optim. Appl., 2008