Aliya N. Husain

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 2

Top Topics

Weakly Supervised

Unsupervised Feature Learning

Top Venues

Publications

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
Deep Learning Generates Synthetic Cancer Histology for Explainability and Education. CoRR (2022)
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
Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology. CoRR (2022)
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
Proteomic characterization of non-small cell lung cancer in a comprehensive translational thoracic oncology database. J. Clin. Bioinform. 1 (2011)