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Rebecca J. Mieloszyk
Rebecca J. Mieloszyk
Senior Researcher, Microsoft
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Automated quantitative analysis of capnogram shape for COPD–normal and COPD–CHF classification
RJ Mieloszyk, GC Verghese, K Deitch, B Cooney, A Khalid, ...
IEEE Transactions on Biomedical Engineering 61 (12), 2882-2890, 2014
582014
Understanding why patients no-show: observations of 2.9 million outpatient imaging visits over 16 years
JI Rosenbaum, RJ Mieloszyk, CS Hall, DS Hippe, ML Gunn, P Bhargava
Journal of the American College of Radiology 15 (7), 944-950, 2018
532018
Environmental factors predictive of no-show visits in radiology: observations of three million outpatient imaging visits over 16 years
RJ Mieloszyk, JI Rosenbaum, CS Hall, DS Hippe, ML Gunn, P Bhargava
Journal of the American College of Radiology 16 (4), 554-559, 2019
342019
Characteristics of and predictors for apnea and clinical interventions during procedural sedation
BS Krauss, G Andolfatto, BA Krauss, RJ Mieloszyk, MC Monuteaux
Annals of emergency medicine 68 (5), 564-573, 2016
292016
The financial burden of missed appointments: uncaptured revenue due to outpatient no-shows in radiology
RJ Mieloszyk, JI Rosenbaum, CS Hall, UN Raghavan, P Bhargava
Current problems in diagnostic radiology 47 (5), 285-286, 2018
252018
A comparison of wearable tonometry, photoplethysmography, and electrocardiography for cuffless measurement of blood pressure in an ambulatory setting
R Mieloszyk, H Twede, J Lester, J Wander, S Basu, G Cohn, G Smith, ...
IEEE Journal of Biomedical and Health Informatics 26 (7), 2864-2875, 2022
232022
Detection and monitoring of viral infections via wearable devices and biometric data
CJ Goergen, MKJ Tweardy, SR Steinhubl, SW Wegerich, K Singh, ...
Annual review of biomedical engineering 24, 1-27, 2022
202022
Model-based estimation of respiratory parameters from capnography, with application to diagnosing obstructive lung disease
A Abid, RJ Mieloszyk, GC Verghese, BS Krauss, T Heldt
IEEE Transactions on Biomedical Engineering 64 (12), 2957-2967, 2017
172017
Predictive modeling to identify scheduled radiology appointments resulting in non-attendance in a hospital setting
RJ Mieloszyk, JI Rosenbaum, P Bhargava, CS Hall
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
122017
Systems and methods for predicting adverse events and assessing level of sedation during medical procedures
GC Verghese, MG Guo, R Mieloszyk, T Heldt, BS Krauss
US Patent 10,388,405, 2019
102019
Convolutional Neural Networks: The Possibilities are Almost Endless.
RJ Mieloszyk, P Bhargava
Current Problems in Diagnostic Radiology 47 (3), 129-130, 2018
72018
Hierarchical optimal transport for comparing histopathology datasets
A Yeaton, RG Krishnan, R Mieloszyk, D Alvarez-Melis, G Huynh
arXiv preprint arXiv:2204.08324, 2022
52022
Is there a difference between LI-RADS 3 to LI-RADS 5 progression assessment using CT versus MR? A retrospective, single-center, longitudinal study of patients who underwent …
PI Ojeda, LM Hannan, RJ Mieloszyk, CS Hall, A Mileto, WP Harris, ...
Current Problems in Diagnostic Radiology 51 (2), 176-180, 2022
52022
Preventing diagnostic errors in ambulatory care: an electronic notification tool for incomplete radiology tests
SN Weingart, O Yaghi, L Barnhart, S Kher, J Mazzullo, K Roberts, ...
Applied Clinical Informatics 11 (02), 276-285, 2020
52020
Statistical analysis of the age dependence of the normal capnogram
RJ Mieloszyk, BS Krauss, D Montagu, G Andolfatto, E Barbi, GC Verghese, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
32017
Model-based estimation of pulmonary compliance and resistance parameters from time-based capnography
A Abid, RJ Mieloszyk, GC Verghese, BS Krauss, T Heldt
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
22015
Systems and methods for predicting adverse events and assessing level of sedation during medical procedures
GC Verghese, MG Guo, R Mieloszyk, T Heldt, BS Krauss
US Patent App. 16/452,631, 2019
12019
Clinical predictors of radiographic progression of a hepatic lesion from Li-RADS 3 to Li-RADS 5 among a population of individuals at high risk of hepatocellular carcinoma.
LM Hannan, PI Ojeda, DS Hippe, R Mieloszyk, GE Johnson, JO Park, ...
Journal of Clinical Oncology 37 (15_suppl), e15668-e15668, 2019
12019
An enhanced mechanistic model for capnography, with application to CHF-COPD discrimination
E Karasan, A Abid, RJ Mieloszyk, BS Krauss, T Heldt, GC Verghese
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
12018
Learning and model-based approaches to improved patient monitoring, assessment and treatment in capnography and procedural sedation
RJA Mieloszyk
Massachusetts Institute of Technology, 2016
12016
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