Welcome to Dr. Tao Peng's Homepage

Dr. Tao Peng (彭涛)

Associate Professor
School of Future Science and Engineering, Soochow University, China
My Google Scholar Page
My university homepage

未来科创中心 Office 505
Jiuyongxi Road 1, 215222
Wujiang District, Suzhou, China

Email: sdpengtao401@gmail.com or tpeng@suda.edu.cn

Short Bio

Dr. Tao Peng received a Ph.D. degree in Dec 2019 at the School of Computer Science & Technology, Soochow University. From 2020 to 2022, he was a postdoctoral researcher in the Department of Health Technology and Informatics at Hong Kong Polytechnic University, and Department of Radiation Oncology at University of Texas Southwestern Medical Center, Dallas, TX, USA, successively. During this period, he obtained the “Research Talent” award from Hong Kong government. He has published more than 60 peer-reviewed journal/conference papers, where the total impact factor (IF) of all the journal publications as the first author is IF > 150. Currently, He is an Associate Professor in School of Future Science and Engineering, Soochow University, Suzhou, China. He is also the member of IEEE and CCF, and his current research interests include AI-based medical image processing, survival prediction, and wearable equipment design.

**Note**:I have close collaborations with Duke university (美国杜克大学), Hong Kong Polytechnic University (香港理工大学), Johns Hopkins University (美国约翰霍普金斯大学), Deakin University (澳大利亚迪肯大学) and Swinburne university of technology (澳大利亚斯威本科技大学); and I am looking for well motivated students to work on AI-based medical image processing (基于AI的医学图像处理) research projects. All undergraduate students are welcome! You can directly contact me by E-mail.招收(免试)研究生/实习生/访问学生(常年有效)

Professional Experience

[1] 09/2022-Present -- Associate professor, School of Future Science and Engineering, Soochow University
[2] 09/2021-08/2022 -- Postdoctoral Fellow, Department of Radiation Oncology, UT Southwestern Medical Center (UTSW), Dallas, TX, USA
[3] 11/2020-09/2021 -- Postdoctoral Fellow, Department of Health Technology & Informatics, Hong Kong Polytechnic University, Hong Kong, China
[4] 03/2020-11/2020 -- Postdoctoral Fellow, Department of Radiation Oncology, UT Southwestern Medical Center (UTSW), Dallas, TX, USA

**Note**:

UTSW

HKPolyU

Publications

Journal Papers

(First/*Corresponding author)

***New***[1] Dehui Xiang#,Tao Peng#, Yun Bian, Lang Chen, Jianbin Zeng, Fei Shi, Weifang Zhu, Xinjian Chen. Unpaired Dual-modal Image Complementation Learning for Single-modal Medical Image Segmentation, IEEE Transactions on Biomedical Engineering, 2025, 72(2): 664-674 (IEEE TBME 2025). (SCI二区, IF = 4.7) (TBME-2025)
***New***[2] Duo Xu#, Tao Peng#, Fuxin Cai, Lei Wang, Xinjian Chen. Automatic Segmentation of Calibration Device Boundaries on Ophthalmic Optical Biometry Instruments in Optical Coherence Tomography Images, Quantitative Imaging in Medicine and Surgery, 2025. (SCI三区, IF = 2.9) (QIMS-2025)
[3] Zixuan Teng, Lan Li, Ziqing Xin, Dehui Xiang, Jiang Huang, Hailing Zhou, Fei Shi, Weifang Zhu, Jing Cai, Tao Peng*, Xinjian Chen*. A literature review of artificial intelligence (AI) for medical image segmentation: from AI and explainable AI to trustworthy AI, Quantitative Imaging in Medicine and Surgery, 2024. (SCI二区, IF = 2.9) (QIMS-2024)
[4] Zhaorui Liu, Hao Chen, Caiyin Tang, Quan Li, Tao Peng*. Automatic lymph node segmentation using deep parallel squeeze & excitation and attention Unet, Multimedia Systems, 2024. (SCI三区, IF = 3.5)
[5] Hongzhuang Wu*, Cheng Cheng*, Tao Peng*, Hongzhi Zhou*, Tao Chen*. Combining transformer with a latent variable model for radio tomography based robust device-free localization, Computer Communications, 2024. (SCI三区, IF = 4.5)
[6] 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 Transactions on Biomedical Engineering, 2024, 71(9): 2789-2799 (IEEE TBME 2024). (SCI二区, IF = 4.7) (TBME-2024)
[7] Tao Peng, Yiwen Ruan, Yidong Gu, Jiang Huang, Caiyin Tang, Jing Cai. Coarse-to-fine approach: automatic delineation of kidney ultrasound data, IEEE Big Data Mining and Analytics, 2024, 7(4), 1321-1332 (IEEE BDMA 2024). (SCI一区, IF = 13.6) (BDMA-2024)
[8] 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 Recognition, 2024, 145: 109925. (SCI一区, Top, IF=8) (PR-2024)
[9] 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 Systems With Applications, 2024, 238: 122128. (SCI一区, Top, IF=8.5) (ESWA-2024)
[10] 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, Biomedical Signal Processing & Control, 2023, 86: 105337. (SCI 二区, IF=5.1)
[11] 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, Applied Intelligence, 2023, 53(24): 30642-30660. (SCI二区, Top, IF=5.3)
[12] 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, Applied Intelligence, 2023, 53(18): 21390-21406. (SCI 二区, IF=5.019)
[13] Tao Peng, Yan Dong, Gongye DI, Jing Zhao, Tian Li, Ge Ren, Lei Zhang, Jing Cai, Boundary delineation in transrectal ultrasound images for region of interest of prostate, Physics in Medicine & Biology, 2023, 68(19): 195008. (SCI二区, Top, IF=3.5)
[14] 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, Journal of Digital Imaging, 2023, 36(4): 1515-1532. (SCI 二区, IF=4.093)
[15] Tao Peng, Yiyun Wu, Jing Zhao, Caishan Wang, Jin Wang, Jing Cai. Ultrasound prostate segmentation using adaptive selection principal curve and smooth mathematical model, Journal of Digital Imaging, 2023, 36(3): 947-963. (SCI 二区, IF=4.903)
[16] Tao Peng, Yiyun Wu, Yidong Gu, Daqiang Xu, Caishan Wang, Quan Li, Jing Cai. Intelligent contour extraction approach for accurate segmentation of medical ultrasound images, Frontiers in Physiology, 2023, 14: 1177351. (SCI 二区 Top, IF=4.0)
[17] Tao Peng, Yidong Gu, Shanq-Jang Ruan, Q. Jackie Wu, Jing Cai, Novel solution of using neural network for kidney boundary extraction in 2D ultrasound data, Biomolecules, 2023, 13(10): 1548. (SCI 二区, IF=5.5)
[18] 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, International Journal of Computer Vision, 2022, 130(8): 1896-1919. (CCF A, Top, IF = 19.5) (IJCV-2022)
[19] 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 Recognition, 2022, 131: 108890. (SCI一区, Top, CCFB, IF=8.518) (PR-2022)
[20] 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 Systems With Applications, 2022, 198: 116873. (SCI一区, Top, IF = 8.665)(ESWA-2022)
[21] Tao Peng, Yiyun Wu, Jing Qin, Qingrong Jackie Wu, Jing Cai. H-ProSeg: Hybrid Ultrasound Prostate Segmentation based on Explainability-guided Mathematical Model, Computer Methods and Programs in Biomedicine, 2022, 219: 106752. (SCI二区, IF = 7.027)
[22] Tao Peng, Caishan Wang, You Zhang, Jing Wang. H-SegNet: Hybrid Segmentation Network for lung Segmentation in Chest Radiographs using Mask Region-based Convolutional Neural Network and Adaptive Closed Polyline Searching Method, Physics in Medicine & Biology, 2022, 67(7): 075006. (SCI二区, IF = 4.174)
[23] Tao Peng, Yihuai Wang, Thomas Canhao Xu, Fanzhang Li. Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs. Computer Journal, 2022, 65(5): 1107-1128. (SCI四区, CCFB, IF = 1.077)
[24] Tao Peng, Caiyin Tang, Yiyun Wu and Jing Cai, Accurate detection of ultrasound prostate images using machine learning and principal curve based on interpretable mathematical model expression, Frontiers in Oncology, (2022) (SCI三区, IF = 6.244)
[25] Tao Peng, Thomas Canhao Xu, Yihuai Wang, Hailing Zhou, Sema Candemir, Wan Mimi Diyana Wan Zaki, Shanq-Jang Ruan, Xinjian Chen, and Jing Wang, Hybrid Automatic Lung Segmentation on Chest CT scans, IEEE Access, 2020, 8: 73293-73306. (SCI二区, IF = 3.745)
[26] Tao Peng, Yihuai Wang, Thomas Canhao Xu, and Xinjian Chen, Segmentation of lung in chest radiographs using hull and closed polygonal line method, IEEE Access, 2019, 7: 137794-13781. (SCI二区, IF = 4.098)
[27] Tao Peng, Yihuai Wang, Thomas Canhao Xu, Lianmin Shi, Jianwu Jiang, and Shilang Zhu, Detection of lung contour with closed principal curve and machine learning, Journal of Digital Imaging, 2018, 31: 520-533. (SCI四区, IF = 3.697)

(*Co-author)

***New***[1] Jiarui Zhu, Hongfei Sun, Weixing Chen, Shaohua Zhi, Chenyang Liu, Mayang Zhao, Yuanpeng Zhang, Ta Zhou, Lam Yu Lap, Tao Peng, Jing Qin, Zhao Lina, Jing Cai, Ge Ren, Feature-targeted deep learning framework for pulmonary tumorous Cone-beam CT (CBCT) enhancement with Multi-task Customized Perceptual Loss and Feature-guided CycleGAN, Computerized Medical Imaging and Graphics, 2025. (SCI二区, IF = 5.4)
***New***[2] Muhammad Mateen, Weifang Zhu, Fei Shi, Dehui Xiang, Baoqing Nie, Tao Peng, Xinjian Chen. The role of artificial intelligence in the diagnosis of diabetic retinopathy through retinal lesion features: a narrative review, Quantitative Imaging in Medicine and Surgery, 2025. (SCI三区, IF = 2.9) (QIMS-2025)
[3] Dawei Zhang, Hongyu Kang, Yu Sun, Justina Yat Wa Liu, Michael Ka-Shing Lee, Zhen Song, Jackie Yeung, Jien Vei Khaw, Tao Peng, Sai-Kit Lam, Yongping Zheng, Rectus Femoris Muscle Segmentation on Ultrasound Images of Older Adults using Automatic Segment Anything Model, nnU-Net and U-Net - A Prospective Hong Kong Community Cohort, Bioengineering, 2024. (SCI三区, IF = 3.8)
[4] Qingxin Jiang, Ying Fan, Menghan Li, Sheng Fang, Weifang Zhu, Dehui Xiang, Tao Peng, Xinjian Chen, Xun Xu, and Fei Shi, HyFormer: a hybrid transformer-CNN architecture for retinal OCT image segmentation, Biomedical Optics Express, 15(11), 2024, pp. 6156-6170. (SCI二区, IF = 2.9)
[5] Dengfeng Liu, Xinyu Zhuang, Tian Gong, Fei Shi, Dehui Xiang, Tao Peng, Xiaofeng Zhang, Xinjian Chen, and Weifang Zhu, Strip and boundary detection multi-task learning network for segmentation of meibomian glands, Medical Physics, 2024. (SCI二区, IF = 3.4)
[6] Wenzhe Kou, Jian Liu, Jie Liu, Xinjian Chen, Xiaoyu Tang, Tao Peng, Muhammad Mateen, Yanyun Liu, Baoqing Nie, A porous elastomer with a cavity array for three-dimensional plantar force sensing, Chemical Engineering Journal, 2024. (SCI一区, IF = 13.3)
[7] 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 Transactions on Intelligent Vehicles, 2024. (SCI一区, IF = 8.2)
[8] Sai-Kit Lam, et al., Multi-organ Omics-based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients undergoing Concurrent Chemoradiotherapy, Frontiers in Oncology, 2022, 11: 792024. (SCI三区, IF = 6.244)
[9] Sai-Kit Lam, et al., A Multi-center Study of CT-based Neck Nodal Radiomics for Predicting Adaptive Radiotherapy Trigger of Ill-fitted Thermoplastic Mask in Patients with Nasopharyngeal Carcinoma, Life-Basel, 2022, 12(2): 241. (SCI四区, IF = 3.817)
[10] Jianwu Jiang, Zhi Chen, Yihuai Wang, Tao Peng, Shilang Zhu, Lianmin Shi. Parameter Estimation for PM Synchronous Motor Based on a BP Neural Network Optimized by Chaotic Artiﬁcial Fish Swarm Algorithm. International Journal of Computers Communications & Control, 2020. (SCI, IF = 1.585)
[11] Lianmin Shi, Yihuai Wang, Zhengqing Wen, and Tao Peng. Secure Data Delivery with Linear Network Coding for Multiple Multicasts with Multiple Streams in Internet of Things. Security and Communication Networks, 2018. (SCI, IF = 1.376)
[12] Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, and Jing Wang. Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers. In MICCAI 2022 HECKTOR, 2022, p144-153.
[13] Lianmin Shi, Yihuai Wang, Rongyuan Jia, Tao Peng, Jianwu Jiang, and Shilang Zhu. Research of Lightweight Encryption Algorithm Based on AES and Chaotic Sequences for Narrow-Band Internet of Things. In Proc. the 4th conference in MLICOM, 2019, p267-280.(EI)
[14] 徐多, 蔡福鑫, 彭涛, 李铭, 王蕾, 陈新建. 用于共聚焦眼底相机的图像奇偶行错位校正算法. 激光与光电子学进展, 2025, 62(12):02. (EI)
[15] 张蓉, 王宜怀, 彭涛, 徐昕, 王绍丹. 大幅面 DLP 型 3D 打印机错位均摊接缝消除方法研究. 自动化学报, 2020. (EI)
[16] 钱涵佳, 王宜怀, 彭涛, 陈成, 罗喜召. 轻量级窄带物联网应用系统中高效可验证加密方案. 计算机研究与发展, 2019.
[17] JianWu Jiang, Jiang, Z. Chen, Yihuai Wang, Tao Peng, Shilang Zhu, Lianmin Shi. Parameter Estimation for PMSM Based on a BPNN Optimized by CAFS. International journal of computers communications & control, 2014.
[18] Junfeng Jing, Tao Peng, Pengfei Li. Textile image segmentation using a multi-resolution Markov random field model on variable weights in the wavelet domain. Journal of Fiber Bioengineering & Informatics, 2013. (EI)

Conference Papers

(First/*Corresponding author)

[1] Haijun Huang, Teng Tian, Jing Zhao, Yidong Gu, Ruwang Jiao, Tao Peng*. Artificial Intelligence-Guided Fully-Automatic Renal Segmentation, 2024 21st Pacific Rim International Conference on Artificial Intelligence (PRICAI 2024). (CCF C, Oral)
[2] Shi Cheng, Quan Li, Guangyu Zhang, Lei Zhang, Tao Peng*. Node-level lymph node automatic segmentation in CT images using deep parallel structure-related 3D U-net variant, 2024 21st Pacific Rim International Conference on Artificial Intelligence (PRICAI 2024). (CCF C, Oral)
[3] Fei Wu, Hao Chen, Quan Li, Tao Peng*. 3D Partial U-Net: A Lightweight ConvNet for Head and Neck Lymph Node Segmentation, 2024 International Conference on Intelligent Computing (ICIC 2024). (CCF C, Oral)
[4] Yiwen Ruan, Rui Jin, Zhaorui Liu, Caishan Wang, Lei Zhang, Tao Peng*. Delineation of prostate cancer via enhanced AI-based algorithm in ultrasound images, In proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP 2024), p2275-2279. (CCF B)
[5] Tao Peng*, Jing Zhao, Yidong Gu, Gongye DI, Lei Zhang, Jing Cai. Hybrid intelligent-annotation organ segmentation on medical datasets, In IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023, p4536-4541. (Full paper, Oral presentation, CCF C)(Travel grant)
[6] Tao Peng*, Yidong Gu, Yidong Gu, Yanqing Xu, Caishan Wang, Lei Zhang, Jing Cai. Contour Detection from Ultrasound Kidney Images with A Coarse-to-Fine Approach, In IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023, p2796-2801. (Full paper, Oral presentation, CCF C)(Travel grant)
[7] Tao Peng*, Caishan Wang, Ting Hu, Hui Mao, Gongye DI, and Lei Zhang. Interactive Ultrasound Prostate Cancer Segmentation using Deep Learning with Principal Curve-based Fine-tuning, In proceedings of the 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), p2165-2168. (CCF B) (Acceptance rate=213/1084=19.7%)
[8] Tao Peng*, Yaogong Zhang, Yan Dong, Yiwen Ruan, Rui Jin, Zhaorui Liu, Hongzhuang Wu, Yuling Shen and Lei Zhang. AI-based Intelligent-Annotation Algorithm for Medical Segmentation from Ultrasound Data, In proceedings of the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2023), 2023, p28-40. (Full paper, Oral presentation, CCF C)
[9] 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, In 32nd International Conference on Artificial Neural Networks (ICANN), 2023, p160-171. (Full paper, Oral presentation, CCF C)
[10] 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, In 16rd conference on International Conference on Bioinformatics and Biomedicine (BIBM), 2022, p1126-1131 (Full paper) (Oral presentation) (CCF B) (Acceptance rate=19.8%)
[11] Tao Peng, Caiyin Tang, Jing Wang. Prostate Segmentation of Ultrasound Images based on Interpretable-guided Mathematical Model, In 28rd conference on Multimedia Modeling (MMM), 2022, p166-177 (Full paper) (Oral presentation) (CCF C)
[12] Tao Peng, Yiyun Wu and Jing Cai. Improving the detection of the prostate in ultrasound images using machine learning based image processing, In 19th conference on IEEE International Symposium on Biomedical Imaging (ISBI), 2022, p1-4. (Full paper) (Video presentation) (QUALIS B1) (EI).
[13] Tao Peng, Jing Zhao, Jing Wang. Interpretable Mathematical Model-guided Ultrasound Prostate Contour Extraction Using Data Mining Techniques, In 15rd conference on International Conference on Bioinformatics and Biomedicine (BIBM), 2021, p1037-1044. (Full paper) (Oral presentation) (CCF B) (Acceptance rate=19.3%)
[14] Tao Peng, Jing Zhao, Yanqing Xu, Jing Cai. Combining an optimized closed principal curve-based method and evolutionary neural network for ultrasound prostate segmentation, In 18rd conference on International Conference on Image Analysis and Recognition (ICIAR), 2021, 16(11): 131-136. (Full paper) (Oral presentation) (CORE C) (Best presentation award) (in press)
[15] 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, In 43rd conference on IEEE Engineering in Medicine & Biology Society (EMBC), 2021, p2839-2842. (Full paper) (Oral presentation) (EI)
[16] Tao Peng, Kai Wang, Michael Dohopolski, Hua-Chieh Shao, You Zhang, Jing Wang. Lymph node segmentation via deep feature boosting network in head and neck CT images, In 64rd conference on AAPM Annual Meeting, 2022. (Poster)
[17] Tao Peng, Jing Zhao, Jing Cai. A Hybrid Method for Prostate Segmentation in Transrectal Ultrasound Based on Redefined Closed K-Segment Principal Curve and Improved Differential Evolution-Based Artificial Neural Network, In 63rd conference on AAPM Annual Meeting, 2021. (Poster)
[18] Tao Peng, Caiyin Tang, Jing Cai. Principal curve-based and AI-based method for ultrasound prostate delineation, In 40th conference on ESTRO, 2021. (Poster)

Professional Activities

Editor / 编委

(Journal)

***New***[1] Since 2024, Associate Editor (副主编) of Medical Physics journal. (SCI二区)
[2] Since 2023, Academic Editor of PLoS ONE journal. (SCI三区)
[3] Since 2023, Co-Editor of Special Topic at Frontiers in Signal Processing journal.
[4] Since 2023, 任《兵器装备工程学报》青年编委 (北大核心期刊).

(Conference)

***New***[1] In 2025, PC member of 28th European Conference on Artificial Intelligence (ECAI-2025) (CCF B类).
***New***[2] In 2025, PC member of 18th International Conference on Bioinformatics and Biomedicine (BIBM-2025) (CCF B类).
[3] In 2025, Technical PC member of 31st International Conference on MultiMedia Modeling (MMM-2025) (CCF C类).
[4] In 2025, PC member of 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2025) (CCF B类).
[5] In 2024, PC member of 18th International Conference on Bioinformatics and Biomedicine (BIBM-2024) (CCF B类).
[6] In 2024, PC member of 27th European Conference on Artificial Intelligence (ECAI-2024) (CCF B类).
[7] In 2024, PC member of 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2024) (CCF C类).
[8] In 2024, PC member of 4th The International Conference on Sensing and Imaging (ICSI-2024) (EI).
[9] In 2023, PC member of 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2023: AI-IMPACT TRACK) (CCF C类).
[10] In 2023, PC member of International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence (iWOAR 2023).

Reviewer

***New***[1] Since 2024, Reviewer at Medical Image Analysis journal. (SCI一区, Top)
***New***[2] Since 2024, Reviewer at Pattern Recognition journal. (SCI一区, Top)
[3] Since 2024, Reviewer at IEEE Transactions on Circuits and Systems for Video Technology journal. (SCI一区, Top)
[4] Since 2024, Reviewer at Neural Networks journal. (SCI一区, Top)
[5] Since 2024, Reviewer at Biomedical Signal Processing and Control journal. (SCI二区)
[6] Since 2022, Reviewer at IEEE Transactions on Intelligent Transportation Systems journal. (SCI一区, Top)
[7] Since 2024, Reviewer at Computerized Medical Imaging and Graphics journal. (SCI二区)
[8] Since 2025, Reviewer at Journal of Imaging Informatics in Medicine journal. (SCI二区)
[9] Since 2023, Reviewer at Physics in Medicine & Biology journal. (SCI二区 Top)
[10] Since 2021, Reviewer at Medical Physics journal. (SCI二区 Top)
[11] Since 2020, Reviewer at Biocybernetics and Biomedical Engineering journal. (SCI二区)
[12] Since 2024, Reviewer at Artificial Intelligence In Medicine journal. (SCI二区)
[13] Since 2023, Reviewer at Computational and Structural Biotechnology Journal. (SCI二区)
[14] Since 2023, Reviewer at Discover Oncology Journal. (SCI二区)
[15] Since 2023, Reviewer at Optics and Laser Technology Journal. (SCI二区)
[16] Since 2021, Reviewer at Quantitative Imaging in Medicine and Surgery journal. (SCI二区)
[17] Since 2024, Reviewer at IEEE Sensors journal. (SCI二区)
[18] Since 2022, Reviewer at Health Informatics Journal. (SCI三区)
[19] Since 2023, Reviewer at Scientific Reports Journal. (SCI三区)
[20] Since 2024, Reviewer at Current Bioinformatics Journal. (SCI三区)
[21] Since 2019, Reviewer at IEEE Access journal. (SCI三区)
[22] Since 2022, Reviewer at Diagnostics. (SCI三区)
[23] Since 2023, Reviewer at Mathematics. (SCI三区)
[24] Since 2020, Reviewer at IEEE Consumer Electronics Magazine journal. (SCI四区)
[25] Since 2021, Reviewer at Security and Communication Networks journal. (SCI四区)
[26] Since 2021, Reviewer at Imaging Science Journal. (SCI四区)
[27] Since 2023, Reviewer at BMC Medical Imaging Journal. (SCI四区)
[28] Since 2023, Reviewer at Scientia Iranica Journal. (SCI四区)
[29] Since 2023, Reviewer at Multimedia Systems Journal. (SCI四区)
[30] Since 2023, Reviewer at Heliyon Journal. (SCI四区)
[31] Since 2023, Reviewer at Multiscale and Multidisciplinary Modeling Experiments and Design Journal.
[32] Since 2024, Reviewer at Journal of Circuits, Systems and Computers Journal.
[33] Since 2023, Reviewer at 兵器装备工程学报. (北大核心期刊)
[34] In 2023, Reviewer at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023. (CCF B)
[35] In 2022, Reviewer at IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2022. (CCF C)
[36] In 2022, Reviewer at 29th International Conference on MultiMedia Modeling (MMM) 2022. (CCF C)
[37] In 2023, Reviewer at 20th International Symposium on Biomedical Imaging (ISBI) 2023.

Patents

发明专利

[1] 基于生物图像的对象检测方法及装置, ZL202011225336.X, 彭涛 (Tao Peng), 蔡璟, 彭娟, 发明专利, 授权 (Authorized Invention Patent)
[2] 一种3D打印机高精度切片获取方法及装置,ZL202010767278.7, 彭涛 (Tao Peng), 王宜怀, 许粲昊, 发明专利, 授权 (Authorized Invention Patent)
[3] 一种 3D 打印的立体曲线获取方法及装置,ZL202010908617.9, 彭涛 (Tao Peng), 王宜怀, 许粲昊, 发明专利, 授权 (Authorized Invention Patent)
[4] 一种适用于窄带物联网应用的云服务器, ZL201910135805.X, 王宜怀, 周欣, 施连敏, 彭涛 (Tao Peng), 许粲昊, 罗喜召, 发明专利, 授权 (Authorized Invention Patent)
[5] 一种应用于窄带物联网的人机接口通信方法和系统, ZL201810056848.4, 王宜怀, 汪博, 施连敏, 彭涛 (Tao Peng), 许粲昊, 发明专利, 授权 (Authorized Invention Patent)
[6] 一种嵌入式实时操作系统的任务调度处理系统和方法, ZL201810056848.4, 王宜怀, 施连敏, 王进, 许粲昊, 罗喜召, 林政宽, 彭涛 (Tao Peng), 发明专利, 授权 (Authorized Invention Patent)

实用新型专利

[1] 一种基于物联网的皮肤癌检测设备,ZL202321525162.8, 彭涛 (Tao Peng), 汤彬彬, 吴非, 滕子轩, 实用新型专利, 授权 (Authorized Utility Patent)
[2] 一种移动检测的智能感知设备,ZL202321525157.7, 彭涛 (Tao Peng), 阮怡文, 刘兆瑞, 张雷, 实用新型专利, 授权 (Authorized Utility Patent)
[3] 一种非接触式手持高精度检测设备,ZL202321527369.9, 彭涛 (Tao Peng), 金蕊, 陈昊, 卞佳俊, 实用新型专利, 授权 (Authorized Utility Patent)

Books

[1] (Chapter 5) Ayman EL-Baz and Jasjit Suri, Artificial Intelligence in Cancer Diagnosis and Prognosis [M], Volume 1: Lung and kidney cancer. IOP Publishing, 2022.
[2] (Joined in writing) Yihuai Wang et al., Research on NB-IoT Application Development Common Technology [M]. Publishing House of Electronics Industry, 2019.

Grants and Projects

[1] 2024年度江苏省科协青年科技人才托举工程, 2024.10-2026.9, 2万, JSTJ-2024-434 PI.
[2] 基于大模型的智能生成检测系统, 2024.11-2027.10, 150万, 产学研横向项目 PI.
[3] Research on the Principal Curve-guided Trustworthy Prostate Contour Extraction Model (基于主曲线引导的可信赖前列腺轮廓提取模型), 2024.7-2026.6, 5万, 24KJB510042, Natural Science Foundation of the Jiangsu Higher Education Institutions of China (江苏省高校自然科学研究面上项目), PI.
[4] Research on Early Diagnosis Model of Abdominal Kidney Stones by Ultrasound Based on Enhanced Moral AI (基于增强型道德AI的超声经腹部肾结石早期诊断模型研究), 2023.11-2025.10, 8万, 2023M742568, China Postdoctoral Science Foundation (中国博士后科学基金), PI.

Selected Honors&Awards

[1] 2024年中国青岛留学人员创新创业大赛"一等奖".
[2] 2024年姑苏区“数字技术应用”创新创业挑战赛"二等奖".
[3] "Young professional travel grant" award from IEEE SMC Conference 2023.
[4] "Research Talent" award from Hong Kong government during 2020-2021.
[5] Best presentation award at ICIAR 2021.