R-HINT-E: a realistic hearing in noise test environment. - Karl Wiklund; Ranil Sonnadara; Laurel J. Trainor; Simon Haykin 001 (ICASSP (4), 2004)

Development of a flexible, realistic hearing in noise test environment (R-HINT-E). - Laurel J. Trainor; Ranil Sonnadara; Karl Wiklund; Jeff Bondy; Shilpy Gupta; Suzanna Becker; Ian C. Bruce; Simon Haykin 001 (Signal Process., 2004)

Grading Prenatal Hydronephrosis from Ultrasound Imaging Using Deep Convolutional Neural Networks. - Kiret Dhindsa; Lauren C. Smail; Melissa McGrath; Luis H. Braga; Suzanna Becker; Ranil R. Sonnadara (CRV, 2018)

Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps. - Umaseh Sivanesan; Luis H. Braga; Ranil R. Sonnadara; Kiret Dhindsa (CoRR, 2019)

LFSpy: A Python Implementation of Local Feature Selection for Data Classification with scikit-learn Compatibility. - Kiret Dhindsa; Oliver Cook; Thomas Mudway; Areeb Khawaja; Ron Harwood; Ranil Sonnadara (J. Open Source Softw., 2020)

Grading OSPE Questions with Decision Learning Trees: A First Step Towards an Intelligent Tutoring System for Anatomical Education. - Jason Bernard; Bruce C. Wainman; O'llenecia Walker; Courtney Pitt; Alex B. Bak; Josh P. Mitchell; Anthony N. Saraco; Ilana Bayer; Ranil Sonnadara (HUMAN@AAAI Fall Symposium, 2021)

TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors. - Umaseh Sivanesan; Luis H. Braga; Ranil R. Sonnadara; Kiret Dhindsa (CoRR, 2021)

Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees. - Jason Bernard; Ranil Sonnadara; Anthony N. Saraco; Josh P. Mitchell; Alex B. Bak; Ilana Bayer; Bruce C. Wainman (CoRR, 2021)