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Ridwan Alam
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2020 – today
- 2024
- [i6]Ridwan Alam, Aaron D. Aguirre, Collin M. Stultz:
Detecting QT prolongation From a Single-lead ECG With Deep Learning. CoRR abs/2401.05378 (2024) - [i5]Ridwan Alam, Collin M. Stultz:
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models. CoRR abs/2408.15272 (2024) - [i4]Ramin Nateghi, Ruoji Zhou, Madeline Saft, Marina Schnauss, Clayton Neill, Ridwan Alam, Nicole Handa, Mitchell Huang, Eric V. Li, Jeffery A. Goldstein, Edward M. Schaeffer, Menatalla K. Nadim, Fattaneh Pourakpour, Bogdan Isaila, Christopher Felicelli, Vikas Mehta, Behtash G. Nezami, Ashley Ross, Ximing Yang, Lee A. D. Cooper:
Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Validation Using Real World Data, with Performance Assessment on IHC Requested Cases. CoRR abs/2410.23642 (2024) - 2023
- [c10]Ridwan Alam
, Aaron D. Aguirre, Collin M. Stultz:
QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG. EMBC 2023: 1-4 - [c9]Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz:
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. ICML 2023: 28531-28548 - [i3]Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz:
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. CoRR abs/2307.10923 (2023) - 2021
- [j3]Ridwan Alam
Wearable Respiration Monitoring: Interpretable Inference With Context and Sensor Biomarkers. IEEE J. Biomed. Health Informatics 25(6): 1938-1948 (2021) - 2020
- [j2]Brooke Bell
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review. npj Digit. Medicine 3 (2020) - [i2]Ridwan Alam, David B. Peden, John C. Lach:
Wearable Respiration Monitoring: Interpretable Inference with Context and Sensor Biomarkers. CoRR abs/2007.01413 (2020) - [i1]Md. Abu Sayeed Mondol, Brooke Bell, Meiyi Ma, Ridwan Alam, Ifat Afrin Emi, Sarah Masud Preum, Kayla de la Haye, Donna Spruijt-Metz, John C. Lach, John A. Stankovic:
MFED: A System for Monitoring Family Eating Dynamics. CoRR abs/2007.05831 (2020)
2010 – 2019
- 2019
- [j1]Nutta Homdee
Agitation Monitoring and Prevention System for Dementia Caregiver Empowerment. Computer 52(11): 30-39 (2019) - [c8]Ridwan Alam
Non-Invasive Inference of Minute Ventilation Using Wearable ECG and Gaussian Process Regression. BHI 2019: 1-4 - [c7]Ridwan Alam
Multiple-Instance Learning for Sparse Behavior Modeling from Wearables: Toward Dementia-Related Agitation Prediction. EMBC 2019: 1330-1333 - [c6]Ridwan Alam
Inferring Respiratory Minute Volume from Wrist Motion. EMBC 2019: 6935-6938 - [c5]Ridwan Alam
Besi: behavior learning and tracking with wearable and in-home sensors - a dementia case-study: poster abstract. IoTDI 2019: 281-282 - 2018
- [c4]Ridwan Alam
Inferring physical agitation in dementia using smartwatch and sequential behavior models. BHI 2018: 170-173 - 2017
- [c3]Ridwan Alam
BESI: Reliable and Heterogeneous Sensing and Intervention for In-home Health Applications. CHASE 2017: 147-156 - [c2]Meiyi Ma, Ridwan Alam
M^2G: A Monitor of Monitoring Systems with Ground Truth Validation Features for Research-Oriented Residential Applications. MASS 2017: 10-18 - [c1]Ridwan Alam
Motion Biomarkers for Early Detection of Dementia-Related Agitation. DigitalBioMarker@MobiSys 2017: 15-20
Coauthor Index
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last updated on 2024-12-03 20:27 CET by the dblp team
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