Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis. - Trilce Estrada; Jeremy Benson; Hector Carrillo-Cabada; Asghar M. Razavi; Michel A. Cuendet; Harel Weinstein; Ewa Deelman; Michela Taufer (BCB, 2018)

Transfer learning for diabetic retinopathy. - Jeremy Benson; Hector Carrillo; Jeffrey Wigdahl; Sheila C. Nemeth; John Maynard; Gilberto Zamora; E. Simon Barriga; Trilce Estrada; Peter Soliz (Image Processing, 2018)

An Out of Memory tSVD for Big-Data Factorization. - Hector Carrillo-Cabada; Erik Skau; Gopinath Chennupati; Boian S. Alexandrov; Hristo N. Djidjev (IEEE Access, 2020)

A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes. - Hector Carrillo-Cabada; Jeremy Benson; Asghar M. Razavi; Brianna Mulligan; Michel A. Cuendet; Harel Weinstein; Michela Taufer; Trilce Estrada (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. - Harshita Sahni; Hector Carrillo-Cabada; Ekaterina D. Kots; Silvina Caíno-Lores; Jack Marquez; Ewa Deelman; Michel A. Cuendet; Harel Weinstein; Michela Taufer; Trilce Estrada (e-Science, 2023)