A deep learning framework for reconstructing Breast Amide Proton Transfer weighted imaging sequences from sparse frequency offsets to dense frequency offsets.

[BibT_eX]

[DOI]

Qiuhui Yang

Shu Su

Comput. Medical Imaging Graph., 2025

Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2025

MSAByNet: A multiscale subtraction attention network framework based on Bayesian loss for medical image segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2025

Pseudo Label-Guided Data Fusion and output consistency for semi-supervised medical image segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2025

Predicting FOXA1 gene mutation status in prostate cancer through multi-modal deep learning.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2025

Advancing early detection of sepsis with physiological variable interactions and temporal contrastive learning in critical care.

[BibT_eX]

[DOI]

Da Huang

Tao Tan

Yue Sun

Biomed. Signal Process. Control., 2025

Enhancing fetal ultrasound image quality assessment with multi-scale fusion and clustering-based optimization.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2025

MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection.

[BibT_eX]

[DOI]

IEEE Access, 2025

All-in-One Multi-Organ Segmentation in 3D CT Images via Self-Supervised and Cross-Dataset Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Contrastive Learning via Randomly Generated Deep Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MoEdit: On Learning Quantity Perception for Multi-object Image Editing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma.

[BibT_eX]

[DOI]

BMC Medical Imaging, December, 2024

ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, March, 2024

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.

[BibT_eX]

[DOI]

Medical Image Anal., February, 2024

HTC-Net: A hybrid CNN-transformer framework for medical image segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., February, 2024

ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation.

[BibT_eX]

[DOI]

Virtual Real. Intell. Hardw., 2024

Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer.

[BibT_eX]

[DOI]

Virtual Real. Intell. Hardw., 2024

Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning.

[BibT_eX]

[DOI]

Virtual Real. Intell. Hardw., 2024

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

[BibT_eX]

[DOI]

Inf. Fusion, 2024

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

[BibT_eX]

[DOI]

Neurocomputing, 2024

MLC: Multi-level consistency learning for semi-supervised left atrium segmentation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

WaveFrSnow: Comprehensive perception wavelet transform frequency separation transformer for image snow removal.

[BibT_eX]

[DOI]

Digit. Signal Process., 2024

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

[BibT_eX]

[DOI]

Displays, 2024

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

[BibT_eX]

[DOI]

Displays, 2024

ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Test Time Adaptation with Few-shot Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.

[BibT_eX]

[DOI]

CoRR, 2024

LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstruction.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2024

Distance guided generative adversarial network for explainable medical image classifications.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2024

Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2024

Xiaoqing: A Q&A model for glaucoma based on LLMs.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2024

A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-modal Organ and Lesion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Benchmarking Machine Learning Algorithms for Epilepsy Detection on Multi-Age Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Controllable Quality Improvement of Mobile Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Enhancing Video Grounding with Dual-Path Modality Fusion on Animal Kingdom Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Multimodal Behavior Recognition Network with Interconnected Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Machine Learning Model for Predicting Risk of Primary Sj?gren's syndrome using N7-methylguanosine-related Genes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Vision and Deep Learning, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation.

[BibT_eX]

[DOI]

Dashun Zheng

Rongsheng Wang

Yaofei Duan

Patrick Cheong-Iao Pang

Tao Tan

Vis. Comput. Ind. Biomed. Art, December, 2023

Is There a Difference between Paper and Electronic Chinese Signatures?

[BibT_eX]

[DOI]

Adv. Intell. Syst., December, 2023

Radiomics and artificial intelligence in breast imaging: a survey.

[BibT_eX]

[DOI]

Regina G. H. Beets-Tan

Ritse M. Mann

Artif. Intell. Rev., October, 2023

PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis.

[BibT_eX]

[DOI]

Vis. Comput., August, 2023

TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution.

[BibT_eX]

[DOI]

Vis. Comput., August, 2023

LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results.

[BibT_eX]

[DOI]

Displays, July, 2023

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., July, 2023

Distance Guided Generative Adversarial Network for Explainable Binary Classifications.

[BibT_eX]

[DOI]

CoRR, 2023

Aurora: Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning.

[BibT_eX]

[DOI]

Patrick Cheong-Iao Pang

Yapeng Wang

Tao Tan

CoRR, 2023

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.

[BibT_eX]

[DOI]

CoRR, 2023

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification.

[BibT_eX]

[DOI]

CoRR, 2023

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.

[BibT_eX]

[DOI]

CoRR, 2023

Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation.

[BibT_eX]

[DOI]

Luyi Han

Tao Tan

Ritse Mann

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

SVM in Classification of stage 0~II and III~IV with Breast Cancer : A Retrospective Cohort Study on a bicentric cohort.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Computer, 2023

IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain.

[BibT_eX]

[DOI]

Patrick Cheong-Iao Pang

Tao Tan

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

A Hybrid Supervised Fusion Deep Learning Framework for Microscope Multi-Focus Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computer Graphics, 2023

Controllable Deep Learning Denoising Model for Ultrasound Images Using Synthetic Noisy Image.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computer Graphics, 2023

Improved YOLOX Framework for Automatic Large Intracranial Artery Stenosis Detection in Digital Subtraction Angiography Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Guest Editorial Artificial Intelligence in Pre-DICOM.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets.

[BibT_eX]

[DOI]

Farhad Ghazvinian Zanjani

Aiwen Zheng

Remco Duits

Tao Tan

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Ultrasound tissue classification: a review.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2021

2020

Guest Editorial: Deep Learning in Ultrasound Imaging.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Ruisheng Su

Weiyi Xie

Tao Tan

CoRR, 2020

Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Video-based discomfort detection for infants.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2019

Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets.

[BibT_eX]

[DOI]

Farhad Ghazvinian Zanjani

Aiwen Zheng

Remco Duits

Tao Tan

CoRR, 2019

A fully automated pipeline of extracting biomarkers to quantify vascular changes in retina-related diseases.

[BibT_eX]

[DOI]

Bart M. ter Haar Romeny

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth.

[BibT_eX]

[DOI]

Farhad Ghazvinian Zanjani

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks.

[BibT_eX]

[DOI]

Farhad Ghazvinian Zanjani

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Dual Stream Network for Tumor Detection in Hyperspectral Images.

[BibT_eX]

[DOI]

Pim Jan Christiaan Weijtmans

Caifeng Shan

Tao Tan

Susan G. Brouwer de Koning

Theodoor Jacques Marie Ruers

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Fan Huang

Behdad Dashtbozorg

Tao Tan

Bart M. ter Haar Romeny

Comput. Methods Programs Biomed., 2018

2017

Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Automated linking of suspicious findings between automated 3D breast ultrasound volumes.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

2014

Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS).

[BibT_eX]

[DOI]

Mandana Javanshir Moghaddam

Tao Tan

Nico Karssemeijer

Bram Platel

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

2013

Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, September, 2013

Chest wall segmentation in automated 3D breast ultrasound scans.

[BibT_eX]

[DOI]

Medical Image Anal., 2013

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

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012

Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2012

Detection of breast cancer in automated 3D breast ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

2011

Classification of breast lesions in automated 3D breast ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Tao Tan

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