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Lochana Mendis

Showing results (1-10 of 7) with videos related to

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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|December 12, 2023
The Effect of Fetal Heart Rate Segment Selection on Deep Learning Models for Fetal Compromise DetectionLochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
Scientific Reports|June 1, 2024
Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signalsLochana Mendis, Marimuthu Palaniswami, Emerson Keenan, et al.
Bioengineering (Basel, Switzerland)|September 28, 2023
Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A ReviewLochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
IEEE Journal of Translational Engineering in Health and Medicine|July 14, 2025
Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography ClassificationLochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, et al.
IEEE Transactions on Bio-Medical Engineering|January 12, 2026
Fusing Tabular Features and Deep Learning for Fetal Heart Rate Analysis: A Clinically Interpretable Model for Fetal Compromise DetectionLochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Quantifying Phase Coupling between Fetal Heart Rate and Uterine ContractionsLochana Mendis, Marimuthu Palaniswami, Debjyoti Karmakar, et al.
NPJ Digital Medicine|May 1, 2025
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysisDebjyoti Karmakar, Lochana Mendis, Emerson Keenan, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
The Effect of Fetal Heart Rate Segment Selection on Deep Learning Models for Fetal Compromise DetectionLochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
Scientific Reports|June 1, 2024
Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signalsLochana Mendis, Marimuthu Palaniswami, Emerson Keenan, et al.
Bioengineering (Basel, Switzerland)|September 28, 2023
Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A ReviewLochana Mendis, Marimuthu Palaniswami, Fiona Brownfoot, et al.
IEEE Journal of Translational Engineering in Health and Medicine|July 14, 2025
Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography ClassificationLochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, et al.
IEEE Transactions on Bio-Medical Engineering|January 12, 2026
Fusing Tabular Features and Deep Learning for Fetal Heart Rate Analysis: A Clinically Interpretable Model for Fetal Compromise DetectionLochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Quantifying Phase Coupling between Fetal Heart Rate and Uterine ContractionsLochana Mendis, Marimuthu Palaniswami, Debjyoti Karmakar, et al.
NPJ Digital Medicine|May 1, 2025
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysisDebjyoti Karmakar, Lochana Mendis, Emerson Keenan, et al.
Pageof 1