Radiogenomics of glioblastoma: a pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype. - Nicholas M. Czarnek; Kal Clark; Katherine B. Peters; Leslie M. Collins; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2016)

Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary data. - Maciej A. Mazurowski; Nicholas M. Czarnek; Leslie M. Collins; Katherine B. Peters; Kal Clark (Computer-Aided Diagnosis, 2016)

Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics. - Maciej A. Mazurowski; Kal Clark; Nicholas M. Czarnek; Parisa Shamsesfandabadi; Katherine B. Peters; Ashirbani Saha (Computer-Aided Diagnosis, 2017)

Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study. - Stanford Martinez; Carolina Ramirez-Tamayo; Syed Hasib Akhter Faruqui; Kal Clark; Adel Alaeddini; Nicholas Czarnek; Aarushi Aggarwal; Sahra Emamzadeh; Jeffrey R. Mock; Edward J. Golob (CoRR, 2023)

Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial. - Carolina Ramirez-Tamayo; Syed Hasib Akhter Faruqui; Stanford Martinez; Angel Brisco; Nicholas Czarnek; Adel Alaeddini; Jeffrey R. Mock; Edward J. Golob; Kal L. Clark (CoRR, 2023)