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Tao Peng 0013
Person information
- affiliation: Soochow University, School of Future Science and Engineering, Suzhou, China
- affiliation: Hong Kong Polytechnic University, Department of Health Technology and Informatics, Hong Kong
- affiliation: UT Southwestern Medical Center, Department of Radiation Oncology, Dallas, TX, USA
Other persons with the same name
- Tao Peng — disambiguation page
- Tao Peng 0001 — Beijing University of Posts and Telecommunications, MoE Key Laboratory of Universal Wireless Communication, China
- Tao Peng 0002 — The University of Melbourne, Australia
- Tao Peng 0003 — Jilin University, College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering, Changchun, China
- Tao Peng 0004 — Bing Indexing and Knowledge team, Microsoft (and 1 more)
- Tao Peng 0005 — Sany Heavy Industry Co. (and 1 more)
- Tao Peng 0006 — Wuhan Textile University, School of Computer Science and Artificial Intelligence, China
- Tao Peng 0007 — Wuhan University, State Key Laboratory of Software Engineering, China
- Tao Peng 0008 — Southwestern University of Finance and Economics, Chengdu, China
- Tao Peng 0009 — Ningbo University, Advanced Technology Research Institute, Laboratory of Infrared Materials and Devices, China
- Tao Peng 0010 — Central South University, School of Information Science and Engineering, Changsha, China (and 3 more)
- Tao Peng 0011 — Guangzhou University, School of Computer Science and Educational Software, China (and 1 more)
- Tao Peng 0012 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Hangzhou, China (and 1 more)
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2020 – today
- 2024
- [j18]Tao Peng, Yiyun Wu, Jing Zhao, Caishan Wang, Qingrong Jackie Wu, Jing Cai:
Organ boundary delineation for automated diagnosis from multi-center using ultrasound images. Expert Syst. Appl. 238(Part E): 122128 (2024) - [j17]Zhaorui Liu, Hao Chen, Caiyin Tang, Quan Li, Tao Peng:
Automatic lymph node segmentation using deep parallel squeeze & excitation and attention Unet. Multim. Syst. 30(5): 270 (2024) - [j16]Tao Peng, Caishan Wang, Caiyin Tang, Yidong Gu, Jing Zhao, Quan Li, Jing Cai:
A multi-center study of ultrasound images using a fully automated segmentation architecture. Pattern Recognit. 145: 109925 (2024) - [j15]Shichen Liao, Tao Peng, Haoyu Chen, Tian Lin, Weifang Zhu, Fei Shi, Xinjian Chen, Dehui Xiang:
Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images. IEEE Trans. Biomed. Eng. 71(9): 2789-2799 (2024) - [j14]Ruohong Mei, Wei Sui, Jiaxin Zhang, Xue Qin, Gang Wang, Tao Peng, Tao Chen, Cong Yang:
RoMe: Towards Large Scale Road Surface Reconstruction via Mesh Representation. IEEE Trans. Intell. Veh. 9(7): 5173-5185 (2024) - [c10]Fei Wu, Hao Chen, Quan Li, Tao Peng:
3D Partial U-Net: A Lightweight ConvNet for Head and Neck Lymph Node Segmentation. ICIC (LNBI 1) 2024: 335-346 - [c9]Haijun Huang, Teng Tian, Jing Zhao, Yidong Gu, Ruwang Jiao, Tao Peng:
Artificial Intelligence-Guided Fully-Automatic Renal Segmentation. PRICAI (3) 2024: 147-157 - [i3]Rui Jin, Derun Li, Dehui Xiang, Lei Zhang, Hailing Zhou, Fei Shi, Weifang Zhu, Jing Cai, Tao Peng, Xinjian Chen:
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review. CoRR abs/2407.06612 (2024) - 2023
- [j13]Tao Peng, Daqiang Xu, Caiyin Tang, Jing Zhao, Yuntian Shen, Cong Yang, Jing Cai:
Automatic coarse-to-refinement-based ultrasound prostate segmentation using optimal polyline segment tracking method and deep learning. Appl. Intell. 53(18): 21390-21406 (2023) - [j12]Tao Peng, Yiyun Wu, Jing Zhao, Caishan Wang, Wenjie Wang, Yuntian Shen, Jing Cai:
Coarse-to-fine tuning knowledgeable system for boundary delineation in medical images. Appl. Intell. 53(24): 30642-30660 (2023) - [j11]Tao Peng, Daqiang Xu, Yiyun Wu, Jing Zhao, Cong Yang, Lei Zhang, Jing Cai:
A mathematical and neural network-based hybrid technique for detecting the prostate contour from medical image data. Biomed. Signal Process. Control. 86(Part C): 105337 (2023) - [j10]Tao Peng, Yiyun Wu, Jing Zhao, Caishan Wang, Jin Wang, Jing Cai:
Ultrasound Prostate Segmentation Using Adaptive Selection Principal Curve and Smooth Mathematical Model. J. Digit. Imaging 36(3): 947-963 (2023) - [j9]Tao Peng, Yidong Gu, Ji Zhang, Yan Dong, Gongye Di, Wenjie Wang, Jing Zhao, Jing Cai:
A Robust and Explainable Structure-Based Algorithm for Detecting the Organ Boundary From Ultrasound Multi-Datasets. J. Digit. Imaging 36(4): 1515-1532 (2023) - [c8]Tao Peng, Hui Mao, Caishan Wang, Gongye Di, Ting Hu, Lei Zhang:
Interactive Ultrasound Prostate Cancer Segmentation using Deep Learning with Principal Curve-based Fine-tuning. BIBM 2023: 2165-2168 - [c7]Tao Peng, Daqiang Xu, Yiyun Wu, Jing Zhao, Hui Mao, Jing Cai, Lei Zhang:
Delineation of Prostate Boundary from Medical Images via a Mathematical Formula-Based Hybrid Algorithm. ICANN (8) 2023: 160-171 - [i2]Ruohong Mei, Wei Sui, Jiaxin Zhang, Qian Zhang, Tao Peng, Cong Yang:
RoMe: Towards Large Scale Road Surface Reconstruction via Mesh Representation. CoRR abs/2306.11368 (2023) - 2022
- [j8]Tao Peng, Thomas Canhao Xu, Yihuai Wang, Fanzhang Li:
Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs. Comput. J. 65(5): 1107-1128 (2022) - [j7]Tao Peng, Yiyun Wu, Jing Qin, Qingrong Jackie Wu, Jing Cai:
H-ProSeg: Hybrid ultrasound prostate segmentation based on explainability-guided mathematical model. Comput. Methods Programs Biomed. 219: 106752 (2022) - [j6]Tao Peng, Yidong Gu, Zhenyu Ye, Xiuxiu Cheng, Jing Wang:
A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images. Expert Syst. Appl. 198: 116873 (2022) - [j5]Tao Peng, Caiyin Tang, Yiyun Wu, Jing Cai:
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. 130(8): 1896-1919 (2022) - [j4]Tao Peng, Jing Zhao, Yidong Gu, Caishan Wang, Yiyun Wu, Xiuxiu Cheng, Jing Cai:
H-ProMed: Ultrasound image segmentation based on the evolutionary neural network and an improved principal curve. Pattern Recognit. 131: 108890 (2022) - [c6]Tao Peng, Yiyun Wu, Jing Zhao, Bo Zhang, Jin Wang, Jing Cai:
Explainability-guided Mathematical Model-Based Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy. BIBM 2022: 1126-1131 - [c5]Tao Peng, Yiyun Wu, Jing Cai:
Improving the Detection of The Prostrate in Ultrasound Images Using Machine Learning Based Image Processing. ISBI 2022: 1-4 - [c4]Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, Jing Wang:
Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers. HECKTOR@MICCAI 2022: 144-153 - [c3]Tao Peng, Caiyin Tang, Jing Wang:
Prostate Segmentation of Ultrasound Images Based on Interpretable-Guided Mathematical Model. MMM (1) 2022: 166-177 - [i1]Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, Jing Wang:
Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers. CoRR abs/2209.11268 (2022) - 2021
- [c2]Tao Peng, Jing Zhao, Jing Wang:
Interpretable Mathematical Model-guided Ultrasound Prostate Contour Extraction Using Data Mining Techniques. BIBM 2021: 1037-1044 - [c1]Tao Peng, Yidong Gu, Jing Wang:
Lung contour detection in Chest X-ray images using Mask Region-based Convolutional Neural Network and Adaptive Closed Polyline Searching Method. EMBC 2021: 2839-2842 - 2020
- [j3]Tao Peng, Thomas Canhao Xu, Yihuai Wang, Hailing Zhou, Sema Candemir, Wan Mimi Diyana Wan Zaki, Shanq-Jang Ruan, Jing Wang, Xinjian Chen:
Hybrid Automatic Lung Segmentation on Chest CT Scans. IEEE Access 8: 73293-73306 (2020)
2010 – 2019
- 2019
- [j2]Tao Peng, Yihuai Wang, Thomas Canhao Xu, Xinjian Chen:
Segmentation of Lung in Chest Radiographs Using Hull and Closed Polygonal Line Method. IEEE Access 7: 137794-137810 (2019) - 2018
- [j1]Tao Peng, Yihuai Wang, Thomas Canhao Xu, Lianmin Shi, Jianwu Jiang, Shilang Zhu:
Detection of Lung Contour with Closed Principal Curve and Machine Learning. J. Digit. Imaging 31(4): 520-533 (2018)
Coauthor Index
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last updated on 2024-12-16 23:22 CET by the dblp team
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