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Rishikesan Kamaleswaran

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Integrating complex business processes for knowledge-driven clinical decision support systemsRishikesan Kamaleswaran, Carolyn McGregor
JMIR Medical Informatics|November 23, 2016
A Review of Visual Representations of Physiologic DataRishikesan Kamaleswaran, Carolyn McGregor
Seminars in Fetal & Neonatal Medicine|October 20, 2022
Pivotal challenges in artificial intelligence and machine learning applications for neonatal careHayoung Jeong, Rishikesan Kamaleswaran
Biomedical Physics & Engineering Express|May 23, 2024
Lung segment anything model (LuSAM): a decoupled prompt-integrated framework for automated lung segmentation on chest x-Ray imagesRishika Iytha Sridhar, Rishikesan Kamaleswaran
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 26, 2021
OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis DetectionAnni Zhou, Raheem Beyah, Rishikesan Kamaleswaran
Cardiovascular Digital Health Journal|March 10, 2022
Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detectionRuhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Service oriented architecture for the integration of clinical and physiological data for real-time event stream processingRishikesan Kamaleswaran, Carolyn McGregor, Jennifer Percival
Physiological Measurement|January 26, 2018
A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable lengthRishikesan Kamaleswaran, Ruhi Mahajan, Oguz Akbilgic
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
A method for clinical and physiological event stream processingRishikesan Kamaleswaran, Carolyn McGregor, J Eklund
IEEE Journal of Biomedical and Health Informatics|January 25, 2019
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case StudyFranco van Wyk, Anahita Khojandi, Rishikesan Kamaleswaran
Pageof 14

Showing results (1-10 of 132) with videos related to

Sort By:
Pageof 14
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Integrating complex business processes for knowledge-driven clinical decision support systemsRishikesan Kamaleswaran, Carolyn McGregor
JMIR Medical Informatics|November 23, 2016
A Review of Visual Representations of Physiologic DataRishikesan Kamaleswaran, Carolyn McGregor
Seminars in Fetal & Neonatal Medicine|October 20, 2022
Pivotal challenges in artificial intelligence and machine learning applications for neonatal careHayoung Jeong, Rishikesan Kamaleswaran
Biomedical Physics & Engineering Express|May 23, 2024
Lung segment anything model (LuSAM): a decoupled prompt-integrated framework for automated lung segmentation on chest x-Ray imagesRishika Iytha Sridhar, Rishikesan Kamaleswaran
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 26, 2021
OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis DetectionAnni Zhou, Raheem Beyah, Rishikesan Kamaleswaran
Cardiovascular Digital Health Journal|March 10, 2022
Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detectionRuhi Mahajan, Rishikesan Kamaleswaran, Oguz Akbilgic
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Service oriented architecture for the integration of clinical and physiological data for real-time event stream processingRishikesan Kamaleswaran, Carolyn McGregor, Jennifer Percival
Physiological Measurement|January 26, 2018
A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable lengthRishikesan Kamaleswaran, Ruhi Mahajan, Oguz Akbilgic
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
A method for clinical and physiological event stream processingRishikesan Kamaleswaran, Carolyn McGregor, J Eklund
IEEE Journal of Biomedical and Health Informatics|January 25, 2019
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case StudyFranco van Wyk, Anahita Khojandi, Rishikesan Kamaleswaran
Pageof 14