Jing Cai
Orcid: 0000-0001-6934-0108Affiliations:
- Hong Kong Polytechnic University, Department of Health Technology and Informatics, Hong Kong
- Duke University, Department of Radiation Oncology, Durham, NC, USA (2014-2017)
- University of Virginia, Department of engineering physics, Charlottesville, VA, USA (PhD 2006)
According to our database1,
Jing Cai
authored at least 53 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
A Lightweight TSK Fuzzy Classifier With Quantitative Equivalent Fuzzy Rules via Adaptive Weighting.
IEEE Trans. Fuzzy Syst., August, 2025
USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining.
CoRR, July, 2025
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis.
CoRR, June, 2025
Artificial intelligence in four-dimensional imaging for motion management in radiation therapy.
Artif. Intell. Rev., April, 2025
Bridging MRI Cross-Modality Synthesis and Multi-Contrast Super-Resolution by Fine-Grained Difference Learning.
IEEE Trans. Medical Imaging, January, 2025
Improved two-view interactional fuzzy learning based on mutual-rectification and knowledge-mergence.
Neural Networks, 2025
SynMSE: A multimodal similarity evaluator for complex distribution discrepancy in unsupervised deformable multimodal medical image registration.
Medical Image Anal., 2025
Feature-targeted deep learning framework for pulmonary tumorous Cone-beam CT (CBCT) enhancement with multi-task customized perceptual loss and feature-guided CycleGAN.
Comput. Medical Imaging Graph., 2025
Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy.
Comput. Medical Imaging Graph., 2025
IEEE Access, 2025
2024
Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory.
IEEE Trans. Fuzzy Syst., November, 2024
Organ boundary delineation for automated diagnosis from multi-center using ultrasound images.
Expert Syst. Appl., March, 2024
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution.
IEEE Trans. Medical Imaging, January, 2024
Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization.
IEEE J. Biomed. Health Informatics, January, 2024
A multi-center study of ultrasound images using a fully automated segmentation architecture.
Pattern Recognit., January, 2024
Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels.
Inf. Fusion, January, 2024
Multi-omics fusion with soft labeling for enhanced prediction of distant metastasis in nasopharyngeal carcinoma patients after radiotherapy.
Comput. Biol. Medicine, January, 2024
Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation.
Medical Image Anal., 2024
Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis - A comprehensive review.
Inf. Sci., 2024
CoRR, 2024
Pseudo-medical image-guided technology based on 'CBCT-only' mode in esophageal cancer radiotherapy.
Comput. Methods Programs Biomed., 2024
Big Data Min. Anal., 2024
Assessment of Radiomics Feature Repeatability and Reproducibility and Their Generalizability Across Image Modalities by Perturbation in Nasopharyngeal Carcinoma Patients.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
2023
Coarse-to-fine tuning knowledgeable system for boundary delineation in medical images.
Appl. Intell., December, 2023
A mathematical and neural network-based hybrid technique for detecting the prostate contour from medical image data.
Biomed. Signal Process. Control., September, 2023
Automatic coarse-to-refinement-based ultrasound prostate segmentation using optimal polyline segment tracking method and deep learning.
Appl. Intell., September, 2023
A Robust and Explainable Structure-Based Algorithm for Detecting the Organ Boundary From Ultrasound Multi-Datasets.
J. Digit. Imaging, August, 2023
Ultrasound Prostate Segmentation Using Adaptive Selection Principal Curve and Smooth Mathematical Model.
J. Digit. Imaging, June, 2023
Feature-oriented Deep Learning Framework for Pulmonary Cone-beam CT (CBCT) Enhancement with Multi-task Customized Perceptual Loss.
CoRR, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Multi-view Contrastive Learning with Additive Margin for Adaptive Nasopharyngeal Carcinoma Radiotherapy Prediction.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023
Multi-Kernel Fusion with Fuzzy Label Relaxation for Predicting Distant Metastasis in Nasopharyngeal Carcinoma.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023
Delineation of Prostate Boundary from Medical Images via a Mathematical Formula-Based Hybrid Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
Radiomics-Dosiomics-Contouromics Collaborative Learning for Adaptive Radiotherapy Eligibility Prediction in Nasopharyngeal Carcinoma.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
H-ProMed: Ultrasound image segmentation based on the evolutionary neural network and an improved principal curve.
Pattern Recognit., 2022
Glioma segmentation of optimized 3D U-net and prediction of multi-modal survival time.
Neural Comput. Appl., 2022
Integration of an imbalance framework with novel high-generalizable classifiers for radiomics-based distant metastases prediction of advanced nasopharyngeal carcinoma.
Knowl. Based Syst., 2022
H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning.
Int. J. Comput. Vis., 2022
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution.
CoRR, 2022
H-ProSeg: Hybrid ultrasound prostate segmentation based on explainability-guided mathematical model.
Comput. Methods Programs Biomed., 2022
Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022
Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Improving the Detection of The Prostrate in Ultrasound Images Using Machine Learning Based Image Processing.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Explainability-guided Mathematical Model-Based Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Fuzzy Clustering Based on Automated Feature Pattern-Driven Similarity Matrix Reduction.
IEEE Trans. Comput. Soc. Syst., 2021
2020
Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study.
Frontiers Artif. Intell., 2020
2019
Deriving Lung Perfusion Directly from CT Image Using Deep Convolutional Neural Network: A Preliminary Study.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
2018
IEEE Trans. Medical Imaging, 2018
2008
Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007