A Brain-Computer Interface Based on Abstract Visual and Auditory Imagery: Evidence for an Effect of Artistic Training. - Kiret Dhindsa; Dean Carcone; Suzanna Becker (HCI (15), 2017)

Emotional reaction recognition from EEG. - Kiret Dhindsa; Suzanna Becker (PRNI, 2017)

Filter-Bank Artifact Rejection: High performance real-time single-channel artifact detection for EEG. - Kiret Dhindsa (Biomed. Signal Process. Control., 2017)

Toward an Open-Ended BCI: A User-Centered Coadaptive Design. - Kiret Dhindsa; Dean Carcone; Suzanna Becker (Neural Comput., 2017)

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)

Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics. - Saurabh Bhaskar Shaw; Kiret Dhindsa; James P. Reilly; Suzanna Becker (Neural Comput., 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)

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

BCI Illiteracy: It's Us, Not Them. Optimizing BCIs for Individual Brains. - Suzanna Becker; Kiret Dhindsa; Leila Mousapour; Yar Al Dabagh (BCI, 2022)

Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times. - Amar Udare; Minu Agarwal; Kiret Dhindsa; Amer Alaref; Michael Patlas; Abdullah Alabousi; Yoan K. Kagoma; Christian B. van der Pol (J. Digit. Imaging, 2022)