Exploration of efficacy of gland morphology and architectural features in prostate cancer gleason grading. - Clara Mosquera Lopez; Sos S. Agaian; Isaac Sanchez; Ali Almuntashri; Osman Zinalabdin; Amar Al Rikabi; Ian M. Thompson (SMC, 2012)

A new set of wavelet- and fractals-based features for Gleason grading of prostate cancer histopathology images. - Clara Mosquera Lopez; Sos S. Agaian (Image Processing: Algorithms and Systems, 2013)

Quaternion Neural Networks Applied to Prostate Cancer Gleason Grading. - Aaron Greenblatt; Clara Mosquera Lopez; Sos S. Agaian (SMC, 2013)

The development of a multi-stage learning scheme using new tissue descriptors for automatic grading of prostatic carcinoma. - Clara Mosquera Lopez; Sos S. Agaian; Alejandro Velez-Hoyos (ICASSP, 2014)

Design and evaluation of a portable smart-phone based peripheral neuropathy test platform. - Peter G. Jacobs; Peter Hanaway; Joseph Leitschuh; John Condon; Uma Rajhbeharrysingh; Clara Mosquera Lopez; Carolyn Guidarelli; Kerri Winters-Stone (EMBC, 2018)

In-Home Sleep Apnea Severity Classification using Contact-free Load Cells and an AdaBoosted Decision Tree Algorithm. - Clara Mosquera Lopez; Joseph Leitschuh; John Condon; Chad C. Hagen; Cody Hanks; Peter G. Jacobs (EMBC, 2018)

An AI-Powered Tool for Automatic Heart Sound Quality Assessment and Segmentation. - Valentina Roquemen-Echeverri; Peter G. Jacobs; Stephen Heitner; Peter M. Schulman; Bethany Wilson; Jorge Mahecha; Clara Mosquera Lopez (BIBM, 2021)

Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis. - Clara Mosquera Lopez; Eric A. Wan; Mahesh C. Shastry; Jonathon Folsom; Joseph Leitschuh; John Condon; Uma Rajhbeharrysingh; Andrea Hildebrand; Michelle Cameron; Peter G. Jacobs (IEEE J. Biomed. Health Informatics, 2021)

Predicting labor onset relative to the estimated date of delivery using smart ring physiological data. - Elise N. Erickson; Neta Gotlieb; Leonardo M. Pereira; Leslie Myatt; Clara Mosquera Lopez; Peter G. Jacobs (npj Digit. Medicine, 2023)

Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence. - Clara Mosquera Lopez; Leah M. Wilson; Joseph El Youssef; Wade Hilts; Joseph Leitschuh; Deborah Branigan; Virginia Gabo; Jae H. Eom; Jessica R. Castle; Peter G. Jacobs (npj Digit. Medicine, 2023)

Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning. - Clara Mosquera Lopez; Katrina L. Ramsey; Valentina Roquemen-Echeverri; Peter G. Jacobs (Comput. Biol. Medicine, 2023)

Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections. - Clara Mosquera Lopez; Valentina Roquemen-Echeverri; Nichole S. Tyler; Susana R. Patton; Mark A. Clements; Corby K. Martin; Michael C. Riddell; Robin L. Gal; Melanie Gillingham; Leah M. Wilson; Jessica R. Castle; Peter G. Jacobs (J. Am. Medical Informatics Assoc., 2023)

An AI-enabled dual-hormone model predictive control algorithm that delivers insulin and pramlintide. - Peter G. Jacobs; Wade Hilts; Robert Dodier; Joseph Leitschuh; Jae H. Eom; Deborah Branigan; Forrest Ling; Matthew Howard; Clara Mosquera Lopez; Leah M. Wilson (CoRR, 2025)