Seyed Ali Madani Tonekaboni

According to our database, Seyed Ali Madani Tonekaboni authored at least 6 papers between 2018 and 2023.

Collaborative distances:

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

2023

Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset.

Shiva Parsarad, Narges Saeedizadeh, Ghazaleh Jamalipour Soufi, Shamim Shafieyoon, Farzaneh Hekmatnia, Andrew Parviz Zarei, Samira Soleimany, Amir Yousefi, Hengameh Nazari, Pegah Torabi, Abbas S. Milani, Seyed Ali Madani Tonekaboni, Hossein Rabbani, Ali Hekmatnia, Rahele Kafieh

J. Imaging, 2023

2020

SYNERGxDB: an integrative pharmacogenomic portal to identify synergistic drug combinations for precision oncology.

Heewon Seo, Denis Tkachuk, Chantal Ho, Anthony Mammoliti, Aria Rezaie, Seyed Ali Madani Tonekaboni, Benjamin Haibe-Kains

Nucleic Acids Res., 2020

Learning across label confidence distributions using Filtered Transfer Learning.

Seyed Ali Madani Tonekaboni, Andrew E. Brereton, Zhaleh Safikhani, Andreas Windemuth, Benjamin Haibe-Kains, Stephen MacKinnon

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

SIGN: similarity identification in gene expression.

Seyed Ali Madani Tonekaboni, Venkata Satya Kumar Manem, Nehme El-Hachem, Benjamin Haibe-Kains

Bioinform., 2019

2018

Tissue specificity of in vitro drug sensitivity.

Fupan Yao, Seyed Ali Madani Tonekaboni, Zhaleh Safikhani, Petr Smirnov, Nehme El-Hachem, Mark Freeman, Venkata Satya Kumar Manem, Benjamin Haibe-Kains

J. Am. Medical Informatics Assoc., 2018

Predictive approaches for drug combination discovery in cancer.

Seyed Ali Madani Tonekaboni, Laleh Soltan Ghoraie, Venkata Satya Kumar Manem, Benjamin Haibe-Kains

Briefings Bioinform., 2018