Clara Mosquera-Lopez

发表

Biopsy image Preprocessing Tissue description Pattern recognition Diagnosis outcome Feature extraction Feature selection Training Classification Validation Detection Detection Cancer

S. Agaian, I. Thompson, Clara Mosquera-Lopez, 2014 .

Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 Diabetes.

Clara Mosquera-Lopez, Nichole Tyler, Navid Resalat, 2019, IEEE journal of biomedical and health informatics.

An artificial intelligence decision support system for the management of type 1 diabetes

Wade W. Hilts, R. Dodier, J. Castle, 2020, Nature metabolism.

Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case Example

P. Jacobs, Clara Mosquera-Lopez, 2021, Journal of diabetes science and technology.

Measuring glucose at the site of insulin delivery with a redox-mediated sensor.

T. Seidl, W. Ward, J. Castle, 2020, Biosensors & bioelectronics.

Quantifying the impact of physical activity on future glucose trends using machine learning

J. Castle, J. El Youssef, P. Jacobs, 2022, iScience.

Predicting and preventing nocturnal hypoglycemia in type 1 diabetes using big data analytics and decision theoretic analysis.

R. Dodier, J. Castle, J. El Youssef, 2020, Diabetes technology & therapeutics.

An artificial intelligence decision support system for the management of type 1 diabetes

Wade W. Hilts, R. Dodier, J. Castle, 2020, Nature Metabolism.

Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence

Wade W. Hilts, J. Castle, J. El Youssef, 2023, npj Digital Medicine.

Design and Evaluation of a Non-Contact Bed-Mounted Sensing Device for Automated In-Home Detection of Obstructive Sleep Apnea: A Pilot Study

John Condon, Joseph Leitschuh, Peter G Jacobs, 2019, Biosensors.

Comparing fall detection methods in people with multiple sclerosis: A prospective observational cohort study.

P. Jacobs, M. Cameron, Clara Mosquera-Lopez, 2021, Multiple sclerosis and related disorders.

Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis

Mahesh C. Shastry, Joseph Leitschuh, Andrea Hildebrand, 2020, IEEE Journal of Biomedical and Health Informatics.

Iterative local color normalization using fuzzy image clustering

Sos Agaian, Clara Mosquera-Lopez, S. Agaian, 2013, Defense, Security, and Sensing.

Predicting labor onset relative to the estimated date of delivery using smart ring physiological data.

P. Jacobs, L. Myatt, Clara Mosquera-Lopez, 2023, NPJ digital medicine.

Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems

Sos Agaian, Clara Mosquera-Lopez, Alejandro Velez-Hoyos, 2015, IEEE Reviews in Biomedical Engineering.

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

J. Castle, Leah M. Wilson, M. Clements, 2023, J. Am. Medical Informatics Assoc..

Risky movement: Assessing fall risk in people with multiple sclerosis with wearable sensors and beacon-based smart-home monitoring.

Clara Mosquera-Lopez, Andrea Hildebrand, Peter G. Jacobs, 2023, Multiple sclerosis and related disorders.