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ORCIDSeyed Ehsan Saffari
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2020 – today
- 2024
[j5]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:
Tumour growth rate predicts overall survival in patients with recurrent WHO grade 4 glioma. BMC Medical Imaging 24(1): 125 (2024)- 2023
- [j4]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:
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artif. Intell. Medicine 142: 102587 (2023) - 2022
- [j3]Arezoo Orooji, Toktam Sahranavard, Mohammad-Taghi Shakeri, Mohammad Tajfard, Seyed Ehsan Saffari:
Application of the Truncated Zero-Inflated Double Poisson for Determining of the Effecting Factors on the Number of Coronary Artery Stenosis. Comput. Math. Methods Medicine 2022: 5353539:1-5353539:7 (2022) - [j2]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:
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. J. Biomed. Informatics 129: 104072 (2022) - [c1]Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu:
AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes. AMIA 2022 - [i3]Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu:
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes. CoRR abs/2202.08407 (2022) - [i2]Mingxuan Liu, Siqi Li, Han Yuan, Marcus Eng Hock Ong, Yilin Ning, Feng Xie, Seyed Ehsan Saffari, Victor Volovici, Bibhas Chakraborty, Nan Liu:
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. CoRR abs/2210.08258 (2022) - 2021
- [i1]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:
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. CoRR abs/2107.06039 (2021)
2010 – 2019
- 2015
- [j1]S. Ehsan Saffari, Áskell Löve, Mats Fredrikson, Örjan Smedby:
Regression models for analyzing radiological visual grading studies - an empirical comparison. BMC Medical Imaging 15: 49 (2015)
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