المؤلفون: Yeo, Jin Jie Sean, Tan, Ee-Leng, Bai, Jisheng, Peksi, Santi, Gan, Woon-Seng

مصطلحات موضوعية: Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing

URL الوصول: http://arxiv.org/abs/2409.11964

المؤلفون: Yeow, Jun Wei, Tan, Ee-Leng, Bai, Jisheng, Peksi, Santi, Gan, Woon-Seng

مصطلحات موضوعية: Electrical Engineering and Systems Science - Signal Processing

URL الوصول: http://arxiv.org/abs/2409.11700

المؤلفون: Tan, Ee-Leng, Karnapi, Furi Andi, Ng, Linus Junjia, Ooi, Kenneth, Gan, Woon-Seng

المصدر: IEEE IoT Journal, 2021

مصطلحات موضوعية: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound

URL الوصول: http://arxiv.org/abs/2408.05721

المؤلفون: Yeow, Jun Wei, Tan, Ee-Leng, Bai, Jisheng, Peksi, Santi, Gan, Woon-Seng

مصطلحات موضوعية: Electrical Engineering and Systems Science - Audio and Speech Processing

URL الوصول: http://arxiv.org/abs/2407.09021

المؤلفون: Tan, Ee-Leng, Peksi, Santi, Gan, Woon-Seng

مصطلحات موضوعية: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound

URL الوصول: http://arxiv.org/abs/2303.08379

المؤلفون: Wang, Yongjun, Lei, Baiying, Elazab, Ahmed, Tan, Ee-Leng, Wang, Wei, Huang, Fanglin, Gong, Xuehao, Wang, Tianfu

المساهمون: School of Electrical and Electronic Engineering

مصطلحات موضوعية: Engineering::Electrical and electronic engineering, Breast Cancer Image Classification, Deep Convolutional Neural Network

وصف الملف: application/pdf

Relation: IEEE Access; Wang, Y., Lei, B., Elazab, A., Tan, E.-L., Wang, W., Huang, F., . . . Wang, T. (2020). Breast cancer image classification via multi-network features and dual-network orthogonal low-rank learning. IEEE Access, 8, 27779-27792. doi:10.1109/ACCESS.2020.2964276; https://hdl.handle.net/10356/145755; 27779; 27792

الاتاحة: https://hdl.handle.net/10356/145755
https://doi.org/10.1109/ACCESS.2020.2964276

المؤلفون: Lei, Haijun, Lei, Yukang, Chen, Zihao, Li, Shiqi, Huang, Zhongwei, Zhou, Feng, Tan, Ee-Leng, Xiao, Xiaohua, Lei, Yi, Hu, Huoyou, Huang, Yaohui, Liu, Chien-Hung, Lei, Baiying

المساهمون: School of Electrical and Electronic Engineering

مصطلحات موضوعية: Engineering::Electrical and electronic engineering, Early Diagnosis, Longitudinal Data

Relation: Neural Computing and Applications; Lei, H., Lei, Y., Chen, Z., Li, S., Huang, Z., Zhou, F., Tan, E., Xiao, X., Lei, Y., Hu, H., Huang, Y., Liu, C. & Lei, B. (2023). Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data. Neural Computing and Applications, 35(22), 16429-16455. https://dx.doi.org/10.1007/s00521-023-08508-x; https://hdl.handle.net/10356/172943; 2-s2.0-85159026303; 22; 35; 16429; 16455

الاتاحة: https://hdl.handle.net/10356/172943
https://doi.org/10.1007/s00521-023-08508-x

المؤلفون: Lei, Haijun, Zhang, Yuchen, Li, Hancong, Huang, Zhongwei, Liu, Chien-Hung, Zhou, Feng, Tan, Ee-Leng, Xiao, Xiaohua, Lei, Yi, Hu, Huoyou, Huang, Yaohui, Lei, Baiying

المساهمون: School of Electrical and Electronic Engineering

مصطلحات موضوعية: Engineering::Computer science and engineering, Selection, Classification

Relation: Computers in Biology and Medicine; Lei, H., Zhang, Y., Li, H., Huang, Z., Liu, C., Zhou, F., Tan, E., Xiao, X., Lei, Y., Hu, H., Huang, Y. & Lei, B. (2022). Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. Computers in Biology and Medicine, 148, 105859-. https://dx.doi.org/10.1016/j.compbiomed.2022.105859; https://hdl.handle.net/10356/163635; 2-s2.0-85135298803; 148; 105859

الاتاحة: https://hdl.handle.net/10356/163635
https://doi.org/10.1016/j.compbiomed.2022.105859

المؤلفون: Lei, Baiying, Liang, Enmin, Yang, Mengya, Yang, Peng, Zhou, Feng, Tan, Ee-Leng, Lei, Yi, Liu, Chuan-Ming, Wang, Tianfu, Xiao, Xiaohua, Wang, Shuqiang

المصدر: Expert Systems with Applications ; volume 187, page 115966 ; ISSN 0957-4174

الاتاحة: http://dx.doi.org/10.1016/j.eswa.2021.115966
https://api.elsevier.com/content/article/PII:S0957417421013178?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0957417421013178?httpAccept=text/plain

المؤلفون: He, Xinzi, Tan, Ee-Leng, Bi, Hanwen, Zhang, Xuzhe, Zhao, Shijie, Lei, Baiying

المصدر: Medical Image Analysis ; volume 77, page 102357 ; ISSN 1361-8415

الاتاحة: http://dx.doi.org/10.1016/j.media.2022.102357
https://api.elsevier.com/content/article/PII:S136184152200010X?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S136184152200010X?httpAccept=text/plain

المؤلفون: Lei, Baiying, Tan, Ee-Leng, Chen, Siping, Zhuo, Liu, Li, Shengli, Ni, Dong, Wang, Tianfu

المساهمون: Maurits, Natasha M., School of Electrical and Electronic Engineering

مصطلحات موضوعية: DRNTU::Science::Biological sciences::Human anatomy and physiology

وصف الملف: 20 p.; application/pdf

Relation: PLOS One; Lei, B., Tan, E.-L., Chen, S., Zhuo, L., Li, S., Ni, D., et al. (2015). Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector. PLOS One, 10(5), e0121838-.; https://hdl.handle.net/10356/103532; http://hdl.handle.net/10220/25840

الاتاحة: https://hdl.handle.net/10356/103532
http://hdl.handle.net/10220/25840
https://doi.org/10.1371/journal.pone.0121838

المؤلفون: Chen, Zihao, Lei, Haijun, Zhao, Yujia, Huang, Zhongwei, Xiao, Xiaohua, Lei, Yi, Tan, Ee-Leng, Lei, Baiying

المصدر: Predictive Intelligence in Medicine ; Lecture Notes in Computer Science ; page 178-187 ; ISSN 0302-9743 1611-3349 ; ISBN 9783030593537 9783030593544

الاتاحة: http://dx.doi.org/10.1007/978-3-030-59354-4_17
https://link.springer.com/content/pdf/10.1007/978-3-030-59354-4_17

المؤلفون: Lei, Baiying, Yu, Shuangzhi, Zhao, Xin, Frangi, Alejandro F., Tan, Ee Leng, Elazab, Ahmed, Wang, Tianfu, Wang, Shuqiang

المصدر: Lei , B , Yu , S , Zhao , X , Frangi , A F , Tan , E L , Elazab , A , Wang , T & Wang , S 2021 , ' Diagnosis of early Alzheimer’s disease based on dynamic high order networks ' , Brain Imaging and Behavior , vol. 15 , no. 1 , pp. 276-287 . https://doi.org/10.1007/s11682-019-00255-9 , https://doi.org/10.1007/s11682-019-00255-9

مصطلحات موضوعية: Alzheimer’s disease, resting-state functional magnetic resonance imaging, functional connectivity networks, dynamic high-order network

الاتاحة: https://research.manchester.ac.uk/en/publications/855b0a7c-e76b-4218-b4da-3c0087901315
https://doi.org/10.1007/s11682-019-00255-9
http://www.scopus.com/inward/record.url?scp=85089376658&partnerID=8YFLogxK

المؤلفون: Tan, Ee-Leng, Karnapi, Furi Andi, Ng, Linus Junjia, Ooi, Kenneth, Gan, Woon-Seng

المصدر: IEEE Internet of Things Journal ; volume 8, issue 18, page 14308-14321 ; ISSN 2327-4662 2372-2541

الاتاحة: http://dx.doi.org/10.1109/jiot.2021.3068755
http://xplorestaging.ieee.org/ielx7/6488907/9530274/09386249.pdf?arnumber=9386249

المؤلفون: Lei, Baiying, Cheng, Nina, Frangi, Alejandro F, Tan, Ee-Leng, Cao, Jiuwen, Yang, Peng, Elazab, Ahmed, Du, Jie, Xu, Yanwu, Wang, Tianfu

المصدر: Lei , B , Cheng , N , Frangi , A F , Tan , E-L , Cao , J , Yang , P , Elazab , A , Du , J , Xu , Y & Wang , T 2020 , ' Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease ' , Medical Image Analysis , vol. 61 . https://doi.org/10.1016/j.media.2020.101652

الاتاحة: https://research.manchester.ac.uk/en/publications/9744ca5a-e3fe-4ac4-ab6a-95c523296d52
https://doi.org/10.1016/j.media.2020.101652

المؤلفون: Huang, Fanglin, Tan, Ee-Leng, Yang, Peng, Huang, Shan, Ou-Yang, Le, Cao, Jiuwen, Wang, Tianfu, Lei, Baiying

المساهمون: National Natural Science Foundation of China

المصدر: Medical Image Analysis ; volume 63, page 101662 ; ISSN 1361-8415

الاتاحة: http://dx.doi.org/10.1016/j.media.2020.101662
https://api.elsevier.com/content/article/PII:S1361841520300281?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S1361841520300281?httpAccept=text/plain

المؤلفون: Fernie, John, Freathy, Paul, Tan, Ee-Leng

المصدر: International Journal of Logistics Research and Applications ; volume 4, issue 1, page 117-131 ; ISSN 1367-5567 1469-848X

الاتاحة: http://dx.doi.org/10.1080/13675560110038103
https://www.tandfonline.com/doi/pdf/10.1080/13675560110038103