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)

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)

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)

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)

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 (BIOINFORMATICS, 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)

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)

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)

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)

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; et al. (J. Ambient Intell. Humaniz. Comput., 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)

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; et al. (Sensors, 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)

DECOVID-CT: Lightweight 3D CNN for COVID-19 Infection Prediction. - Kannan Rithesh; Lai-Kuan Wong; John See; Wai-Yee Chan; Kwan Hong Ng (ICCE-TW, 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)

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., 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., 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, 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, 2023)