Three Dimensional MR-Based Morphometric Comparison of Schizophrenic and Normal Cerebral Ventricles. - David Dean; Peter Buckley; Fred L. Bookstein; Janardhan Kamath; David Kwon; Lee Friedman; Christine Lys (VBC, 1996)

Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study. - Vincent Magnotta; Lee Friedman (J. Digit. Imaging, 2006)

Reducing interscanner variability of activation in a multicenter fMRI study: Controlling for signal-to-fluctuation-noise-ratio (SFNR) differences. - Lee Friedman; Gary H. Glover; FBIRN Consortium (NeuroImage, 2006)

Reducing inter-scanner variability of activation in a multicenter fMRI study: Role of smoothness equalization. - Lee Friedman; Gary H. Glover; Diana Krenz; Vince Magnotta (NeuroImage, 2006)

Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controls. - Lee Friedman; Jessica A. Turner; Hal S. Stern; Daniel H. Mathalon; Liv C. Trondsen; Steven G. Potkin (NeuroImage, 2008)

Method to Assess the Temporal Persistence of Potential Biometric Features: Application to Oculomotor, and Gait-Related Databases. - Lee Friedman; Ioannis Rigas; Mark S. Nixon; Oleg V. Komogortsev (CoRR, 2016)

Synthetic Database for Evaluation of General, Fundamental Biometric Principles. - Lee Friedman; Oleg Komogortsev (CoRR, 2017)

A Study on the Extraction and Analysis of a Large Set of Eye Movement Features during Reading. - Ioannis Rigas; Lee Friedman; Oleg Komogortsev (CoRR, 2017)

Method to Detect Eye Position Noise from Video-Oculography when Detection of Pupil or Corneal Reflection Position Fails. - Evgeniy Abdulin; Lee Friedman; Oleg V. Komogortsev (CoRR, 2017)

Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades. - Evgeniy Abdulin; Lee Friedman; Oleg Komogortsev (CoRR, 2019)

The Linear Relationship between Temporal Persistence, Number of Independent Features and Target EER. - Lee Friedman; Hal S. Stern; Oleg V. Komogortsev (CoRR, 2019)

Relationship between Number of Subjects and Biometric Authentication Equal Error Rates. - Lee Friedman; Hal S. Stern; Vladyslav Prokopenko; Oleg V. Komogortsev (CoRR, 2019)

Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive. - Dillon J. Lohr; Lee Friedman; Oleg V. Komogortsev (CoRR, 2019)

Assessment of the Effectiveness of Seven Biometric Feature Normalization Techniques. - Lee Friedman; Oleg V. Komogortsev (IEEE Trans. Inf. Forensics Secur., 2019)

Why Temporal Persistence of Biometric Features is so Valuable for Classification Performance. - Lee Friedman; Hal Stern; Larry R. Price; Oleg V. Komogortsev (CoRR, 2020)

Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance. - Lee Friedman; Hal S. Stern; Larry R. Price; Oleg V. Komogortsev (Sensors, 2020)

Analysis of Heuristic and Digital Filters as Applied to Video-oculography Signals. - Mehedi Hasan Raju; Lee Friedman; Troy M. Bouman; Oleg V. Komogortsev (CoRR, 2022)

GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality. - Dillon J. Lohr; Samantha Aziz; Lee Friedman; Oleg V. Komogortsev (CoRR, 2022)

Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series. - Mehedi Hasan Raju; Lee Friedman; Troy M. Bouman; Oleg V. Komogortsev (CoRR, 2023)

Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters. - Mehedi Hasan Raju; Lee Friedman; Troy M. Bouman; Oleg V. Komogortsev (CoRR, 2023)

The Importance of the Signal/Noise Distinction for Eye Movement Biometric Performance. - Mehedi Hasan Raju; Lee Friedman; Dillon J. Lohr; Oleg Komogortsev (CoRR, 2023)

Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro. - Samantha Aziz; Dillon J. Lohr; Lee Friedman; Oleg Komogortsev (ETRA, 2024)

Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies. - Mehedi Hasan Raju; Lee Friedman; Dillon J. Lohr; Oleg Komogortsev (ETRA, 2024)

Analysis of Embeddings Learned by End-to-End Machine Learning Eye Movement-driven Biometrics Pipeline. - Mehedi Hasan Raju; Lee Friedman; Dillon J. Lohr; Oleg V. Komogortsev (CoRR, 2024)

Evidence for five types of fixation during a random saccade eye tracking task: Implications for the study of oculomotor fatigue. - Lee Friedman; Oleg V. Komogortsev (CoRR, 2024)

Per-Subject Oculomotor Plant Mathematical Models and the Reliability of Their Parameters. - Kateryna Melnyk; Lee Friedman; Dmytro Katrychuk; Oleg Komogortsev (Proc. ACM Comput. Graph. Interact. Tech., 2024)

Gaze Prediction as a Function of Eye Movement Type and Individual Differences. - Kateryna Melnyk; Lee Friedman; Dmytro Katrychuk; Oleg Komogortsev (ETRA, 2025)