Clara Mosquera-Lopez

15 papers B 2Misc 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A physiologically-constrained neural network digital twin framework for replicating glucose dynamics in type 1 diabetes.
Neural Comput. Appl.
Valentina Roquemen-Echeverri, Taisa Kushner, Peter G. Jacobs, Clara Mosquera-Lopez
2025 J jnl
A Physiologically-Constrained Neural Network Digital Twin Framework for Replicating Glucose Dynamics in Type 1 Diabetes.
CoRR
Valentina Roquemen-Echeverri, Taisa Kushner, Peter G. Jacobs, Clara Mosquera-Lopez
2025 J jnl
An AI-enabled dual-hormone model predictive control algorithm that delivers insulin and pramlintide.
CoRR
Peter G. Jacobs, Wade Hilts, Robert Dodier, Joseph Leitschuh, Jae H. Eom, Deborah Branigan, Forrest Ling, Matthew Howard, Clara Mosquera-Lopez, Leah M. Wilson
2023 J jnl
Combining uncertainty-aware predictive modeling and a bedtime
J. Am. Medical Informatics Assoc.
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
2023 J jnl
Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence.
npj Digit. Medicine
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
2023 J jnl
Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning.
Comput. Biol. Medicine
Clara Mosquera-Lopez, Katrina L. Ramsey, Valentina Roquemen-Echeverri, Peter G. Jacobs
2023 J jnl
Predicting labor onset relative to the estimated date of delivery using smart ring physiological data.
npj Digit. Medicine
Elise N. Erickson, Neta Gotlieb, Leonardo M. Pereira, Leslie Myatt, Clara Mosquera-Lopez, Peter G. Jacobs
2021 — conf
An AI-Powered Tool for Automatic Heart Sound Quality Assessment and Segmentation.
BIBM
Valentina Roquemen-Echeverri, Peter G. Jacobs, Stephen Heitner, Peter M. Schulman, Bethany Wilson, Jorge Mahecha, Clara Mosquera-Lopez
2021 J jnl
Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis.
IEEE J. Biomed. Health Informatics
Clara Mosquera-Lopez, Eric A. Wan, Mahesh C. Shastry, Jonathon Folsom, Joseph Leitschuh, John Condon, Uma Rajhbeharrysingh, Andrea Hildebrand, Michelle Cameron, Peter G. Jacobs
2018 — conf
Design and evaluation of a portable smart-phone based peripheral neuropathy test platform.
EMBC
Peter G. Jacobs, Peter Hanaway, Joseph Leitschuh, John Condon, Uma Rajhbeharrysingh, Clara Mosquera-Lopez, Carolyn Guidarelli, Kerri Winters-Stone
2018 — conf
In-Home Sleep Apnea Severity Classification using Contact-free Load Cells and an AdaBoosted Decision Tree Algorithm.
EMBC
Clara Mosquera-Lopez, Joseph Leitschuh, John Condon, Chad C. Hagen, Cody Hanks, Peter G. Jacobs
2014 Misc conf
The development of a multi-stage learning scheme using new tissue descriptors for automatic grading of prostatic carcinoma.
ICASSP
Clara Mosquera-Lopez, Sos S. Agaian, Alejandro Velez-Hoyos
2013 — conf
A new set of wavelet- and fractals-based features for Gleason grading of prostate cancer histopathology images.
Image Processing: Algorithms and Systems
Clara Mosquera-Lopez, Sos S. Agaian
2013 B conf
Quaternion Neural Networks Applied to Prostate Cancer Gleason Grading.
SMC
Aaron Greenblatt, Clara Mosquera-Lopez, Sos S. Agaian
2012 B conf
Exploration of efficacy of gland morphology and architectural features in prostate cancer gleason grading.
SMC
Clara Mosquera-Lopez, Sos S. Agaian, Isaac Sanchez, Ali Almuntashri, Osman Zinalabdin, Amar Al Rikabi, Ian M. Thompson