Yu Qian Zhao
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
Reinforcement Learned Multiagent Cooperative Navigation in Hybrid Environment With Relational Graph Learning.
IEEE Trans. Artif. Intell., January, 2025
A hybrid meta-heuristic framework with ensemble deep learning for multi-functional simultaneous optimized automatic intensity-modulated radiotherapy planning.
Expert Syst. Appl., 2025
Expert Syst. Appl., 2025
2024
Neural Network-Based Robust Guaranteed Cost Control for Image-Based Visual Servoing of Quadrotor.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Neural Comput. Appl., August, 2024
Neural Networks, January, 2024
IEEE Trans. Instrum. Meas., 2024
Deep Learning-Assisted Real-Time Wall Shear Stress Measurement on Chicken Embryo Heart Using Spectral Domain Optical Coherence Tomography.
IEEE Trans. Instrum. Meas., 2024
Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds.
Neural Networks, 2024
Knowl. Based Syst., 2024
FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients.
Artif. Intell. Medicine, 2024
IEEE Access, 2024
2023
TSDTVOS: Target-guided spatiotemporal dual-stream transformers for video object segmentation.
Neurocomputing, October, 2023
The Stress Phase Angle Measurement Using Spectral Domain Optical Coherence Tomography.
Sensors, September, 2023
TD-Net: A Hybrid End-to-End Network for Automatic Liver Tumor Segmentation From CT Images.
IEEE J. Biomed. Health Informatics, March, 2023
IEEE Trans. Instrum. Meas., 2023
Neural Networks, 2023
J. Multivar. Anal., 2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling.
CoRR, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2022
J. Multivar. Anal., 2022
Neurocomputing, 2022
Video object segmentation based on multi-level target models and feature integration.
Neurocomputing, 2022
Automatic liver tumor segmentation from CT images using hierarchical iterative superpixels and local statistical features.
Expert Syst. Appl., 2022
Ann. Oper. Res., 2022
2021
An Unsupervised Learning-Based Multi-Organ Registration Method for 3D Abdominal CT Images.
Sensors, 2021
Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition.
Pattern Recognit., 2021
Robust and discriminative zero-watermark scheme based on invariant features and similarity-based retrieval to protect large-scale DIBR 3D videos.
Inf. Sci., 2021
Automatic multi-organ segmentation from abdominal CT volumes with LLE-based graph partitioning and 3D Chan-Vese model.
Comput. Biol. Medicine, 2021
An efficient two-step multi-organ registration on abdominal CT via deep-learning based segmentation.
Biomed. Signal Process. Control., 2021
Target organ non-rigid registration on abdominal CT images via deep-learning based detection.
Biomed. Signal Process. Control., 2021
Biomed. Signal Process. Control., 2021
Adaptive Prediction of Hip Joint Center from X-ray Images Using Generalized Regularized Extreme Learning Machine and Globalized Bounded Nelder-Mead Strategy.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
Explainable Predictions of Renal Cell Carcinoma with Interpretable Tree Ensembles from Contrast-enhanced CT Images.
Proceedings of the International Joint Conference on Neural Networks, 2021
Explainable Prediction Of Renal Cell Carcinoma From Contrast-Enhanced CT Images Using Deep Convolutional Transfer Learning And The Shapley Additive Explanations Approach.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Radiological Identification of Hip Joint Centers from X-ray Images Using Fast Deep Stacked Network and Dynamic Registration Graph.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Liver segmentation from abdominal CT volumes based on level set and sparse shape composition.
Comput. Methods Programs Biomed., 2020
2019
Signal Process., 2019
2018
Automatic liver vessel segmentation using 3D region growing and hybrid active contour model.
Comput. Biol. Medicine, 2018
Biomed. Signal Process. Control., 2018
2017
Scene text detection using adaptive color reduction, adjacent character model and hybrid verification strategy.
Vis. Comput., 2017
A Robust Zero-Watermark Scheme with Similarity-based Retrieval for Copyright Protection of 3D Video.
CoRR, 2017
Liver vessel segmentation and identification based on oriented flux symmetry and graph cuts.
Comput. Methods Programs Biomed., 2017
Automatic liver segmentation from abdominal CT volumes using graph cuts and border marching.
Comput. Methods Programs Biomed., 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
2016
Multim. Tools Appl., 2016
Natural scene text detection by multi-scale adaptive color clustering and non-text filtering.
Neurocomputing, 2016
Automatic segmentation for cell images based on bottleneck detection and ellipse fitting.
Neurocomputing, 2016
2014
Pattern Recognit., 2014
2013
Automatic Tracking of Aponeuroses and Estimation of Muscle Thickness in Ultrasonography: A Feasibility Study.
IEEE J. Biomed. Health Informatics, 2013
High-efficient quantum secret sharing based on the Chinese remainder theorem via the orbital angular momentum entanglement analysis.
Quantum Inf. Process., 2013
2012
Int. J. Pattern Recognit. Artif. Intell., 2012
Detection of tampered region for JPEG images by using mode-based first digit features.
EURASIP J. Adv. Signal Process., 2012
2010
Proceedings of the Digital Watermarking - 9th International Workshop, 2010