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2020 – today
- 2023
[j16]Kenta Ninomiya
, Hidetaka Arimura, Kentaro Tanaka, Wai-Yee Chan, Yutaro Kabata, Shinichi Mizuno, Nadia Fareeda Muhammad Gowdh, Nur Adura Yaakup, Chong-Kin Liam, Chee-Shee Chai, Kwan Hoong Ng:
Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients. Comput. Methods Programs Biomed. 236: 107544 (2023)- [j15]Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya:
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas. Int. J. Imaging Syst. Technol. 33(2): 483-494 (2023) - [j14]Nishta Letchumanan, Jeannie Hsiu Ding Wong, Li Kuo Tan, Nazimah Ab Mumin, Wei Lin Ng, Wai-Yee Chan, Kartini Rahmat:
A Radiomics Study: Classification of Breast Lesions by Textural Features from Mammography Images. J. Digit. Imaging 36(4): 1533-1540 (2023) - [j13]Ela Kaplan, Wai-Yee Chan, Hasan Baki Altinsoy, Mehmet Baygin, Prabal Datta Barua, Subrata Chakraborty, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya:
PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI. J. Digit. Imaging 36(6): 2441-2460 (2023) - 2022
- [j12]M. Maithri, Dhanush G. Ballal, Santhosh Kumar, U. Raghavendra, Anjan Gudigar, Wai-Yee Chan, Shravya Macherla, Ravindranath Vineetha, Pratibha Gopalkrishna, Edward J. Ciaccio, U. Rajendra Acharya:
Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images. Comput. 10(1): 8 (2022) - [c2]Kannan Rithesh, Lai-Kuan Wong, John See, Wai-Yee Chan, Kwan-Hong Ng:
DECOVID-CT: Lightweight 3D CNN for COVID-19 Infection Prediction. ICCE-TW 2022: 363-364 - 2021
- [j11]Hongjian Li, Gang Lu, Kam-Heung Sze, Xianwei Su, Wai-Yee Chan, Kwong-Sak Leung:
Machine-learning scoring functions trained on complexes dissimilar to the test set already outperform classical counterparts on a blind benchmark. Briefings Bioinform. 22(6) (2021) - [j10]Prabal Datta Barua, Wai-Yee Chan, Sengül Dogan, Mehmet Baygin, Türker Tuncer, Edward J. Ciaccio, Nazrul Islam, Kang Hao Cheong, Zakia Sultana Shahid, U. Rajendra Acharya:
Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images. Entropy 23(12): 1651 (2021) - [j9]U. Raghavendra, Anjan Gudigar, Edward J. Ciaccio, Kwan Hoong Ng, Wai-Yee Chan, Kartini Rahmat, U. Rajendra Acharya:
2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer. Expert Syst. J. Knowl. Eng. 38(6) (2021) - [j8]The-Hanh Pham, U. Raghavendra, Joel Koh En Wei, Anjan Gudigar, Wai-Yee Chan, Marlina Tanty Ramli, Kartini Rahmat, Farhana Fadzli, Kwan Hoong Ng, Ooi Chui Ping, Edward J. Ciaccio, Hamido Fujita, U. Rajendra Acharya:
Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images. J. Ambient Intell. Humaniz. Comput. 12(2): 2121-2129 (2021) - [j7]Maxine Tan, Mundher Al-Shabi, Wai-Yee Chan, Leya Thomas, Kartini Rahmat, Kwan-Hoong Ng:
Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment. Medical Biol. Eng. Comput. 59(2): 355-367 (2021) - [j6]Anjan Gudigar, U. Raghavendra, Sneha Nayak, Ooi Chui Ping, Wai-Yee Chan, Mokshagna Rohit Gangavarapu, Chinmay Dharmik, Jyothi Samanth, Nahrizul Adib Kadri, Khairunnisa Hasikin, Prabal Datta Barua, Subrata Chakraborty, Edward J. Ciaccio, U. Rajendra Acharya:
Role of Artificial Intelligence in COVID-19 Detection. Sensors 21(23): 8045 (2021) - [j5]Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, Yashas Chakole, Ajay Hegde, Girish R. Menon, Prabal Datta Barua, Elizabeth Emma Palmer, Kang Hao Cheong, Wai-Yee Chan, Edward J. Ciaccio, U. Rajendra Acharya:
A Review on Computer Aided Diagnosis of Acute Brain Stroke. Sensors 21(24): 8507 (2021) - 2020
- [c1]Kam-Heung Sze, Zhiqiang Xiong, Jinlong Ma, Gang Lu, Wai-Yee Chan, Hongjian Li:
Influence of Data Similarity on the Scoring Power of Machine-learning Scoring Functions for Docking. BIOINFORMATICS 2020: 85-92 - [i2]Kelvin Shak, Mundher Al-Shabi, Andrea Liew, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan:
A new semi-supervised self-training method for lung cancer prediction. CoRR abs/2012.09472 (2020)
2010 – 2019
- 2019
- [j4]Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan:
Lung nodule classification using deep Local-Global networks. Int. J. Comput. Assist. Radiol. Surg. 14(10): 1815-1819 (2019) - [i1]Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan:
Lung Nodule Classification using Deep Local-Global Networks. CoRR abs/1904.10126 (2019) - 2015
- [j3]Alfred Chun-Shui Luk, Huayan Gao, Sizhe Xiao, Jinyue Liao, Daxi Wang, Jiajie Tu, Owen M. Rennert, Wai-Yee Chan, Tin-Lap Lee:
GermlncRNA: a unique catalogue of long non-coding RNAs and associated regulations in male germ cell development. Database J. Biol. Databases Curation 2015 (2015) - 2010
- [j2]Tin-Lap Lee, Yunmin Li, Hoi-Hung Cheung, Janek Claus, Sumeeta Singh, Chandan Sastry, Owen M. Rennert, Yun-Fai Chris Lau, Wai-Yee Chan:
GonadSAGE: a comprehensive SAGE database for transcript discovery on male embryonic gonad development. Bioinform. 26(4): 585-586 (2010)
2000 – 2009
- 2009
- [j1]Tin-Lap Lee, Hoi-Hung Cheung, Janek Claus, Chandan Sastry, Sumeeta Singh, Loc Vu, Owen M. Rennert, Wai-Yee Chan:
GermSAGE: a comprehensive SAGE database for transcript discovery on male germ cell development. Nucleic Acids Res. 37(Database-Issue): 891-897 (2009)
Coauthor Index
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