Wai-Yee Chan

According to our database, Wai-Yee Chan authored at least 19 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI.

Ela Kaplan, Wai-Yee Chan, Hasan Baki Altinsoy, Mehmet Baygin, Prabal Datta Barua, Subrata Chakraborty, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya

J. Digit. Imaging, December, 2023

A Radiomics Study: Classification of Breast Lesions by Textural Features from Mammography Images.

Nishta Letchumanan, Jeannie Hsiu Ding Wong, Li Kuo Tan, Nazimah Ab Mumin, Wei Lin Ng, Wai-Yee Chan, Kartini Rahmat

J. Digit. Imaging, August, 2023

Three-dimensional topological radiogenomics of epidermal growth factor receptor Del19 and L858R mutation subtypes on computed tomography images of lung cancer patients.

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

Comput. Methods Programs Biomed., June, 2023

FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas.

Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya

Int. J. Imaging Syst. Technol., March, 2023

2022

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images.

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

Comput., 2022

DECOVID-CT: Lightweight 3D CNN for COVID-19 Infection Prediction.

Kannan Rithesh, Lai-Kuan Wong, John See, Wai-Yee Chan, Kwan-Hong Ng

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2022

2021

A Review on Computer Aided Diagnosis of Acute Brain Stroke.

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

Sensors, 2021

Role of Artificial Intelligence in COVID-19 Detection.

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

Sensors, 2021

Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment.

Maxine Tan, Mundher Al-Shabi, Wai-Yee Chan, Leya Thomas, Kartini Rahmat, Kwan-Hoong Ng

Medical Biol. Eng. Comput., 2021

Development of breast papillary index for differentiation of benign and malignant lesions using ultrasound images.

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

J. Ambient Intell. Humaniz. Comput., 2021

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer.

U. Raghavendra, Anjan Gudigar, Edward J. Ciaccio, Kwan Hoong Ng, Wai-Yee Chan, Kartini Rahmat, U. Rajendra Acharya

Expert Syst. J. Knowl. Eng., 2021

Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images.

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

Entropy, 2021

Machine-learning scoring functions trained on complexes dissimilar to the test set already outperform classical counterparts on a blind benchmark.

Hongjian Li, Gang Lu, Kam-Heung Sze, Xianwei Su, Wai-Yee Chan, Kwong-Sak Leung

Briefings Bioinform., 2021

2020

A new semi-supervised self-training method for lung cancer prediction.

Kelvin Shak, Mundher Al-Shabi, Andrea Liew, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan

CoRR, 2020

Influence of Data Similarity on the Scoring Power of Machine-learning Scoring Functions for Docking.

Kam-Heung Sze, Zhiqiang Xiong, Jinlong Ma, Gang Lu, Wai-Yee Chan, Hongjian Li

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

Lung nodule classification using deep Local-Global networks.

Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan

Int. J. Comput. Assist. Radiol. Surg., 2019

2015

GermlncRNA: a unique catalogue of long non-coding RNAs and associated regulations in male germ cell development.

Alfred Chun-Shui Luk, Huayan Gao, Sizhe Xiao, Jinyue Liao, Daxi Wang, Jiajie Tu, Owen M. Rennert, Wai-Yee Chan, Tin-Lap Lee

Database J. Biol. Databases Curation, 2015

2010

GonadSAGE: a comprehensive SAGE database for transcript discovery on male embryonic gonad development.

Tin-Lap Lee, Yunmin Li, Hoi-Hung Cheung, Janek Claus, Sumeeta Singh, Chandan Sastry, Owen M. Rennert, Yun-Fai Chris Lau, Wai-Yee Chan

Bioinform., 2010

2009

GermSAGE: a comprehensive SAGE database for transcript discovery on male germ cell development.

Tin-Lap Lee, Hoi-Hung Cheung, Janek Claus, Chandan Sastry, Sumeeta Singh, Loc Vu, Owen M. Rennert, Wai-Yee Chan

Nucleic Acids Res., 2009