Seyed Ehsan Saffari

According to our database, Seyed Ehsan Saffari authored at least 7 papers between 2015 and 2024.

Collaborative distances:

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

2024

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, Wai Hoe Ng, Chyi Yeu David Low, Xuling Lin

BMC Medical Imaging, December, 2024

2023

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.

Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Yuqing Shang, Victor Volovici, Bibhas Chakraborty, Nan Liu

Artif. Intell. Medicine, August, 2023

2022

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.

Han Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu

J. Biomed. Informatics, 2022

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.

Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu

CoRR, 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

AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes.

Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu

Proceedings of the AMIA 2022, 2022

2015

Regression models for analyzing radiological visual grading studies - an empirical comparison.

S. Ehsan Saffari, Áskell Löve, Mats Fredrikson, Örjan Smedby

BMC Medical Imaging, 2015