Aliya N. Husain

According to our database, Aliya N. Husain authored at least 3 papers between 2011 and 2022.

Collaborative distances:

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

2022

Deep Learning Generates Synthetic Cancer Histology for Explainability and Education.

James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Jung Woo Kwon, Meghana Agni, Richard C. Simon, Chandni Desai, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li, Robert Grossman, Nicole A. Cipriani, Alexander T. Pearson

CoRR, 2022

Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology.

James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody, Aaron Mansfield, Sagar Rakshit, Radhika Bansa, Melanie Bois, Aaron O. Bungum, Jefree J. Schulte, Everett E. Vokes, Marina Chiara Garassino, Aliya N. Husain, Alexander T. Pearson

CoRR, 2022

2011

Proteomic characterization of non-small cell lung cancer in a comprehensive translational thoracic oncology database.

Mosmi Surati, Matthew Robinson, Suvobroto Nandi, Leonardo Faoro, Carley Demchuk, Cleo E. Rolle, Rajani Kanteti, Benjamin D. Ferguson, Rifat Hasina, Tara C. Gangadhar, April K. Salama, Qudsia Arif, Colin Kirchner, Eneida A. Mendonça, Nicholas Campbell, Suwicha Limvorasak, Victoria Villaflor, Thomas A. Hensing, Thomas Krausz, Everett E. Vokes, Aliya N. Husain, Mark K. Ferguson, Theodore G. Karrison, Ravi Salgia

J. Clin. Bioinform., 2011