Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. - Sébastien Naze; Vittorio Caggiano; Yinming Sun; Molly V. Lucas; Amit Etkin; James R. Kozloski (EMBC, 2019)

Advanced Artifact Removal for Automated TMS-EEG Data Processing. - Christopher C. Cline; Molly V. Lucas; Yinming Sun; Matthew Menezes; Amit Etkin (NER, 2021)

Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation. - Weichen Huang; Wei Wu 022; Molly V. Lucas; Haiyun Huang; Zhenfu Wen; Yuanqing Li 001 (IEEE Trans. Affect. Comput., 2023)

PSO-NET: Development of an Automated Psoriasis Assessment System Using Attention-Based Interpretable Deep Neural Networks. - Sharif Amit Kamran; Molly V. Lucas; Brendon Lutnick; Chaitanya Parmar; Basudha Pal; Asha Patel Shah; David Apfel; Steven Fakharzadeh; Lloyd Miller; Stephen S. F. Yip; Kristopher Standish; Gabriela Oana Cula (ISBI, 2025)

GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification. - Basudha Pal; Sharif Amit Kamran; Brendon Lutnick; Molly V. Lucas; Chaitanya Parmar; Asha Patel Shah; David Apfel; Steven Fakharzadeh; Lloyd Miller; Gabriela Oana Cula; Kristopher Standish (CoRR, 2025)