Regression models for analyzing radiological visual grading studies - an empirical comparison. - S. Ehsan Saffari; Áskell Löve; Mats Fredrikson; Örjan Smedby (BMC Medical Imaging, 2015)

AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes. - Seyed Ehsan Saffari; Yilin Ning; Feng Xie 004; Bibhas Chakraborty; Victor Volovici; Roger Vaughan; Marcus Eng Hock Ong; Nan Liu 003 (AMIA, 2022)

Application of the Truncated Zero-Inflated Double Poisson for Determining of the Effecting Factors on the Number of Coronary Artery Stenosis. - Arezoo Orooji; Toktam Sahranavard; Mohammad-Taghi Shakeri; Mohammad Tajfard; Seyed Ehsan Saffari (Comput. Math. Methods Medicine, 2022)

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. - Mingxuan Liu; Siqi Li 004; Han Yuan; Marcus Eng Hock Ong; Yilin Ning; Feng Xie 004; Seyed Ehsan Saffari; Victor Volovici; Bibhas Chakraborty; Nan Liu 003 (CoRR, 2022)

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. - Han Yuan; Feng Xie 004; Marcus Eng Hock Ong; Yilin Ning; Marcel Lucas Chee; Seyed Ehsan Saffari; Hairil Rizal Abdullah; Benjamin Alan Goldstein; Bibhas Chakraborty; Nan Liu 003 (J. Biomed. Informatics, 2022)

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. - Mingxuan Liu; Siqi Li 004; Han Yuan; Marcus Eng Hock Ong; Yilin Ning; Feng Xie 004; Seyed Ehsan Saffari; Yuqing Shang; Victor Volovici; Bibhas Chakraborty; Nan Liu 003 (Artif. Intell. Medicine, 2023)

Tumour growth rate predicts overall survival in patients with recurrent WHO grade 4 glioma. - Jeffer Hann Wei Pang; Seyed Ehsan Saffari; Guan Rong Lee; Wai-Yung Yu; C. C. Tchoyoson Lim; Kheng Choon Lim; Chia Ching Lee; Wee Yao Koh; David Chia Wei Tsau; Kevin Lee Min Chua; Chee Kian Tham; Yin Yee Sharon Low; et al. (BMC Medical Imaging, 2024)