Tao Tan

Orcid: 0000-0002-5573-1105

According to our database1, Tao Tan authored at least 160 papers between 2008 and 2025.

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

Timeline

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Bibliography

2025
Broadband Flat Response High Sensitivity FBG Accelerometer Based on Multiresonance Structure.
IEEE Trans. Instrum. Meas., 2025

Data augmentation strategies for semi-supervised medical image segmentation.
Pattern Recognit., 2025

2024
An end-to-end multi-task deep learning framework for bronchoscopy image classification.
Multim. Syst., December, 2024

Adaptive moving average Q-learning.
Knowl. Inf. Syst., December, 2024

A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma.
BMC Medical Imaging, December, 2024

A novel lossless commutative encryption and watermarking algorithm for vector geographic dataset.
Earth Sci. Informatics, October, 2024

Homomorphic encryption domain asymmetric fingerprinting scheme for 3D models of oblique photography.
Trans. GIS, June, 2024

A new convex model for linear hyperspectral unmixing.
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

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
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

HTC-Net: A hybrid CNN-transformer framework for medical image segmentation.
Biomed. Signal Process. Control., February, 2024

Q-learning with heterogeneous update strategy.
Inf. Sci., January, 2024

ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation.
Virtual Real. Intell. Hardw., 2024

Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer.
Virtual Real. Intell. Hardw., 2024

Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning.
Virtual Real. Intell. Hardw., 2024

Temporal Link Prediction via Auxiliary Graph Transformer.
IEEE Trans. Netw. Sci. Eng., 2024

Cross Section Deformation Correction of Flexible Tentacle Shape Based on Fiber Bragg Grating.
IEEE Trans. Instrum. Meas., 2024

Optimization design of a new variable type hierarchical fuzzy system with interpretability improvement.
Inf. Sci., 2024

Asynchronous SGD with stale gradient dynamic adjustment for deep learning training.
Inf. Sci., 2024

IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.
Inf. Fusion, 2024

BSANet: Boundary-aware and scale-aggregation networks for CMR image segmentation.
Neurocomputing, 2024

Investigating cortical complexity and connectivity in rats with schizophrenia.
Frontiers Neuroinformatics, 2024

MLC: Multi-level consistency learning for semi-supervised left atrium segmentation.
Expert Syst. Appl., 2024

Forecasting China's agricultural carbon emissions: A comparative study based on deep learning models.
Ecol. Informatics, 2024

WaveFrSnow: Comprehensive perception wavelet transform frequency separation transformer for image snow removal.
Digit. Signal Process., 2024

Chest CT-IQA: A multi-task model for chest CT image quality assessment and classification.
Displays, 2024

A novel heart rate estimation framework with self-correcting face detection for Neonatal Intensive Care Unit.
Displays, 2024

PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead.
CoRR, 2024

Enhancing Test Time Adaptation with Few-shot Guidance.
CoRR, 2024

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model.
CoRR, 2024

DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution.
CoRR, 2024

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise.
CoRR, 2024

UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation.
CoRR, 2024

FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba.
CoRR, 2024

3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching.
CoRR, 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

LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstruction.
Comput. Methods Programs Biomed., 2024

Distance guided generative adversarial network for explainable medical image classifications.
Comput. Medical Imaging Graph., 2024

Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model.
Comput. Medical Imaging Graph., 2024

Xiaoqing: A Q&A model for glaucoma based on LLMs.
Comput. Biol. Medicine, 2024

A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma.
Biomed. Signal Process. Control., 2024

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Benchmarking Machine Learning Algorithms for Epilepsy Detection on Multi-Age Datasets.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Controllable Quality Improvement of Mobile Ultrasound.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Adaptive Order Q-learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Video Grounding with Dual-Path Modality Fusion on Animal Kingdom Datasets.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Multimodal Behavior Recognition Network with Interconnected Architectures.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications.
Proceedings of the IEEE International Conference on Acoustics, 2024

MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Machine Learning Model for Predicting Risk of Primary Sj?gren's syndrome using N7-methylguanosine-related Genes.
Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation.
Vis. Comput. Ind. Biomed. Art, December, 2023

Is There a Difference between Paper and Electronic Chinese Signatures?
Adv. Intell. Syst., December, 2023

Radiomics and artificial intelligence in breast imaging: a survey.
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

Ultrasonic evaluation of fetal lung development using deep learning with graph.
Displays, July, 2023

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data.
Biomed. Signal Process. Control., July, 2023

Network Topology Inference Based on Timing Meta-Data.
IEEE Trans. Commun., 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

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
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

IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain.
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
Guest Editorial Artificial Intelligence in Pre-DICOM.
IEEE J. Biomed. Health Informatics, 2022

Measurement of Residual Stress Based on a Ring FBG Array.
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

Autonomous Learning Rate Optimization for Deep Learning.
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

Research on inertial navigation component measurement and control system.
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

Towards Idea Mining: Problem-Solution Phrase Extraction from Text.
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

Accuracy Improvement of Residual Stress Measurement by Chirp Compensation of FBG.
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

Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net.
CoRR, 2021

To Raise or Not To Raise: The Autonomous Learning Rate Question.
CoRR, 2021

Ultrasound tissue classification: a review.
Artif. Intell. Rev., 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


2020
Guest Editorial: Deep Learning in Ultrasound Imaging.
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

2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT.
CoRR, 2020

Computer aided detection in automated 3-D breast ultrasound images: a survey.
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
Fiber Bragg Grating-Based Oil-Film Pressure Measurement in Journal Bearings.
IEEE Trans. Instrum. Meas., 2019

Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study.
Sensors, 2019

Video-based discomfort detection for infants.
Mach. Vis. Appl., 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

Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Dual Stream Network for Tumor Detection in Hyperspectral Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

On the Convergence Speed of AMSGRAD and Beyond.
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

Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study.
CoRR, 2018

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning.
CoRR, 2018

Retinal artery/vein classification using genetic-search feature selection.
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

Fiber Bragg grating based oil film pressure measurement in journal bearings.
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, 2016

2015
Efficient lane detection system based on monocular camera.
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, San Diego, 2014

2013
Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound.
IEEE Trans. Medical Imaging, September, 2013

Chest wall segmentation in automated 3D breast ultrasound scans.
Medical Image Anal., 2013

Finding lesion correspondences in different views of automated 3D breast ultrasound.
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

A Personalization Recommendation Method Based on Deep Web Data Query.
J. Comput., 2012

A log-exponential smoothing method for mathematical programs with complementarity constraints.
Appl. Math. Comput., 2012

Detection of breast cancer in automated 3D breast ultrasound.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

2011
A Smoothing Method for Zero-One Constrained Extremum Problems.
J. Optim. Theory Appl., 2011

Improvement of grey models by least squares.
Expert Syst. Appl., 2011

Convergence of a continuous approach for zero-one programming problems.
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

Classification of breast lesions in automated 3D breast ultrasound.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2009
The Study of Campus Information Platform Based on SOA Framework.
Proceedings of the International Forum on Information Technology and Applications, 2009

2008
A global continuation algorithm for solving binary quadratic programming problems.
Comput. Optim. Appl., 2008


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