Wai-Yee Chan

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 17

Top Topics

Computer Aided Diagnosis

Textural Features

Computed Tomography

Top Venues

J. Digit. Imaging

Briefings Bioinform.

Publications

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) (2023)
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 (2023)
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) (2023)
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) (2023)
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)
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) (2022)
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) (2021)
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) (2021)
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) (2021)
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) (2021)
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)
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) (2021)
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)
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)
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 (2020)
Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan
Lung Nodule Classification using Deep Local-Global Networks. CoRR (2019)
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) (2019)
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)
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) (2010)
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) (2009)