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Author

Marco Ross

Observed names: M Ross, M. Ross, Ross, Marco
ORCID: 0000-0003-0603-5709
Observed ORCID: 0000-0003-0603-5709
OpenAlex ID: A5005830225
Sleep stage classification from heart-rate variability using long short-term memory neural networks
2019 · Mustafa Radha, Pedro Fonseca, et al. · Scientific Reports · 196
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A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
2021 · Mustafa Radha, Pedro Fonseca, et al. · npj Digital Medicine · 140
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Computer-Assisted Sleep Classification according to the Standard of the American Academy of Sleep Medicine: Validation Study of the AASM Version of the Somnolyzer 24 × 7
2010 · Peter Anderer, Arnaud Moreau, et al. · Neuropsychobiology · 117
Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population
2020 · Pedro Fonseca, Merel M van Gilst, et al. · SLEEP · 80
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Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring
2022 · Jessie P Bakker, Marco Ross, et al. · SLEEP · 74
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It is All in the Wrist: Wearable Sleep Staging in a Clinical Population versus Reference Polysomnography
2021 · Bernice M Wulterkens, Pedro Fonseca, et al. · Nature and Science of Sleep · 72
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Detection of Nocturnal Scratching Movements in Patients with Atopic Dermatitis Using Accelerometers and Recurrent Neural Networks
2017 · Arnaud Moreau, Peter Anderer, et al. · IEEE Journal of Biomedical and Health Informatics · 52
Estimating sleep stages using cardiorespiratory signals: validation of a novel algorithm across a wide range of sleep-disordered breathing severity
2021 · Jessie P. Bakker, Marco Ross, et al. · Journal of Clinical Sleep Medicine · 44
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Sleep EEG characteristics associated with sleep onset misperception
2019 · Lieke W.A. Hermans, Tim R. Leufkens, et al. · Sleep Medicine · 40
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A computationally efficient algorithm for wearable sleep staging in clinical populations
2023 · Pedro Fonseca, Marco Ross, et al. · Scientific Reports · 31
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Overview of the hypnodensity approach to scoring sleep for polysomnography and home sleep testing
2023 · Peter Anderer, Marco Ross, et al. · Frontiers in Sleep · 25
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Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks
2024 · Pedro Fonseca, Marco Ross, et al. · IEEE Journal of Biomedical and Health Informatics · 22
Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance
2020 · M. M. van Gilst, B. M. Wulterkens, et al. · BMC Research Notes · 18
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Automated Scoring of Sleep and Associated Events
2022 · Peter Anderer, Marco Ross, et al. · Advances in experimental medicine and biology · 16
LSTM knowledge transfer for HRV-based sleep staging
2018 · Radha, Mustafa, Fonseca, Pedro, et al. · arXiv (Cornell University) · 11
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Autonomic arousal detection and cardio-respiratory sleep staging improve the accuracy of home sleep apnea tests
2023 · Marco Ross, Pedro Fonseca, et al. · Frontiers in Physiology · 10
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A sleep stage estimation algorithm based on cardiorespiratory signals derived from a suprasternal pressure sensor
2023 · Luca Cerina, Sebastiaan Overeem, et al. · Journal of Sleep Research · 9
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Overnight Sleep Staging Using Chest-Worn Accelerometry
2024 · Fons Schipper, Angela Grassi, et al. · Sensors · 6
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Automated sleep staging in people with intellectual disabilities using heart rate and respiration variability
2023 · N. van den Broek, F. van Meulen, et al. · Journal of Intellectual Disability Research · 6
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0436 Deep Learning for Scoring Sleep Based on Signals Available in Home Sleep Apnea Test Studies: Cardiorespiratory Sleep Staging
2020 · P Anderer, M Ross, et al. · SLEEP · 3
Heart and Respiration Rate Variability Analysis to Estimate the Apnoea‐Hypopnoea Index in People With Intellectual Disabilities
2026 · Naomi van den Broek, Fokke van Meulen, et al. · Journal of Intellectual Disability Research · 2
0730 Validation studies for scoring polysomnograms and home sleep apnea tests with artificial intelligence: Sleep stage probabilities (hypnodensity) derived from neurological or cardiorespiratory signals
2022 · Peter Anderer, Marco Ross, et al. · SLEEP · 2
0435 Autoscoring of Sleep and Associated Events Versus a Reference Scorer Competing with Three Additional Manual Scorings: A Clinical Validation Study
2020 · P Anderer, M Ross, et al. · SLEEP · 2
Deep learning for scoring sleep based on cardiorespiratory signals as compared to auto and multiple manual sleep scorings based on neurological signals
2018 · Peter Anderer, Pedro Fonseca, et al. · European Respiratory Journal · 2
A novel actigraphy data analysis tool and its application to identifying the optimal threshold value in three subject populations
2016 · Barry T Peterson, Peter Anderer, et al. · Physiological Measurement · 2
Works count: 41
Citation count: 985
H-index: 14
I10-index: 16
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