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2020 – today
- 2024
[i1]Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, Danny Eytan, Robert W. Greer, Sebastian D. Goodfellow, Azadeh Assadi, Anand Jayarajan, Anna Goldenberg, Mjaye L. Mazwi:
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data. CoRR abs/2409.00041 (2024)- 2023
- [c9]Tim Barford, Jean-Baptiste Lacambre, Robert Greer:
Optimizing GNSS Time-Differenced Carrier Phase Measurements for High-Integrity Inertial Navigation + GNSS Sensor Fusion without Ambiguity Resolution. PLANS 2023: 793-804 - [c8]Gabriela Morgenshtern, Arnav Verma, Sana Tonekaboni, Robert Greer, Jürgen Bernard, Mjaye Mazwi, Anna Goldenberg, Fanny Chevalier:
RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings. EuroVis (Short Papers) 2023: 13-17 - 2022
- [j2]Azadeh Assadi
, Peter C. Laussen, Andrew J. Goodwin, Sebastian Goodfellow, Will Dixon, Robert W. Greer, Anusha Jegatheeswaran, Devin Singh, Melissa D. McCradden, Sara N. Gallant, Anna Goldenberg, Danny Eytan, Mjaye L. Mazwi:
An integration engineering framework for machine learning in healthcare. Frontiers Digit. Health 4 (2022) - [j1]Andrew J. Goodwin, Danny Eytan, Will Dixon, Sebastian D. Goodfellow, Zakary Doherty, Robert W. Greer, Alistair Lee McEwan, Mark B. Tracy, Peter C. Laussen, Azadeh Assadi, Mjaye Mazwi:
Timing errors and temporal uncertainty in clinical databases - A narrative review. Frontiers Digit. Health 4 (2022) - [c7]Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni:
Learning Unsupervised Representations for ICU Timeseries. CHIL 2022: 152-168 - [c6]Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa D. McCradden, Mjaye Mazwi, Anna Goldenberg:
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. CHIL 2022: 169-182 - 2020
- [c5]Sebastian D. Goodfellow, Dmitrii Shubin, Robert W. Greer, Sujay Nagaraj, Carson McLean, Will Dixon, Andrew J. Goodwin, Azadeh Assadi, Anusha Jegatheeswaran, Peter C. Laussen, Mjaye Mazwi, Danny Eytan:
Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability. CinC 2020: 1-4
2010 – 2019
- 2018
- [c4]Sebastian D. Goodfellow, Andrew J. Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan:
Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings. MLHC 2018: 83-101 - [c3]Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg:
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. MLHC 2018: 534-550 - 2017
- [c2]Andrew J. Goodwin, Sebastian Goodfellow, Danny Eytan, Robert Greer, Mjaye Mazwi, Peter Laussen:
Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting. CinC 2017 - 2014
- [c1]Robert Greer, Chris Olivier, James Edward Pugh, J. Mikael Eklund, Carolyn McGregor:
Remote, real-time monitoring and analysis of vital signs of neonatal graduate infants. EMBC 2014: 1382-1385
Coauthor Index
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