Personal information

Biography

My research interests span a broad range of topics in the field of signal/image/data processing and analysis. I am interested in knowledge discovery from raw data using statistical and machine-learning-based modeling. Specifically, I analyze data from varied sources to decipher relations and recognize patterns that can be used to make more objective and smarter decisions. Specific areas of interest include bioinformatics, data representation and modeling, pattern recognition, and machine learning. I have experience in developing computer vision systems for automated detection and grading of cancer from histopathology images and in large-scale image processing software development. Currently, my research lies at the intersection of biomedical signal processing and artificial intelligence with applications to type 1 diabetes (T1D) technologies and multiple sclerosis (MS). As a staff member of the Artificial Intelligence for Medical Systems (AIMS) lab at OHSU, I have had the opportunity of collaborating with physicians and engineers under the direction of Dr. Peter G. Jacobs in the development of novel T1D technologies. For instance, I recently developed a model for hypoglycemia prediction that surpasses the accuracy reported in previous research works and commercial continuous monitoring systems and that will be incorporated into a decision support system for patients managing T1D with multiple daily injections (MDI) therapy. My long-term goal is to become an independent researcher in the general field machine learning applied to healthcare problems. I am particularly interested in creating, improving, and individualizing patients care through effective use of data-driven models.

Activities

Works (11)

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

Diabetes Technology & Therapeutics
2020-04-16 | Journal article
Part of ISSN: 1520-9156
Part of ISSN: 1557-8593
Source: Self-asserted source
Clara Mosquera-Lopez

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

Biosensors
2019-07-22 | Journal article
Part of ISSN: 2079-6374
Source: Self-asserted source
Clara Mosquera-Lopez

In-Home Sleep Apnea Severity Classification using Contact-free Load Cells and an AdaBoosted Decision Tree Algorithm

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2018-07 | Conference paper
Source: Self-asserted source
Clara Mosquera-Lopez

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

IEEE Reviews in Biomedical Engineering
2015 | Journal article
Part of ISSN: 1937-3333
Part of ISSN: 1941-1189
Source: Self-asserted source
Clara Mosquera-Lopez

Modeling human-perceived quality for the assessment of digitized histopathology color standardization

2015 IEEE International Conference on Imaging Systems and Techniques (IST)
2015-09 | Conference paper
Source: Self-asserted source
Clara Mosquera-Lopez

Comparative Out-of-Sequence Estimation Techniques for Multi-Sensor Target Tracking

Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing
2014-10-22 | Conference paper
Source: Self-asserted source
Clara Mosquera-Lopez

The development of a multi-stage learning scheme using new tissue descriptors for automatic grading of prostatic carcinoma

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2014-05 | Conference paper
Source: Self-asserted source
Clara Mosquera-Lopez

Quaternion Neural Networks Applied to Prostate Cancer Gleason Grading

2013 IEEE International Conference on Systems, Man, and Cybernetics
2013-10 | Conference paper
Source: Self-asserted source
Clara Mosquera-Lopez

Iterative local color normalization using fuzzy image clustering

Mobile Multimedia/Image Processing, Security, and Applications 2013
2013-05-28 | Conference paper
Source: Self-asserted source
Clara Mosquera-Lopez

A new set of wavelet- and fractals-based features for Gleason grading of prostate cancer histopathology images

Image Processing: Algorithms and Systems XI
2013-02-19 | Conference paper
Source: Self-asserted source
Clara Mosquera-Lopez

Exploration of efficacy of gland morphology and architectural features in prostate cancer gleason grading

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
2012-10 | Conference paper
Source: Self-asserted source
Clara Mosquera-Lopez