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Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates

Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, p.3-12

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Preterm Birth and Bone Mineral Density in Young Adulthood: The Helsinki Study of Very Low Birth Weight Adults

JOURNAL OF BONE AND MINERAL RESEARCH, 2008, Vol.23, p.S30

2008

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Identifying Subgroups and Novel Brain-Behavior Associations in Adolescents Who were Born Very Preterm Using Bi-clustering Approaches

2023 IEEE 20th India Council International Conference (INDICON), 2023, p.225-227

2023

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Nutritional Assessment in Preterm Infants

Nestlé Nutrition workshop series. Pediatric programme, 2007, Vol.59, p.177-192

2007

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Predicting Preterm Birth Using Multimodal Fetal Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, p.284-293

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Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, p.104-112

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MobileNet-based Prediction of Preterm Births

2023 25th International Multitopic Conference (INMIC), 2023, p.1-5

2023

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Transfer Entropy in Quantifying the Interactions in Preterm Labor

Information Technology in Biomedicine, p.345-352

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Management of intraventricular hemorrhage in preterm infants with low birth weight

Acta neurochirurgica. Supplement, 2012, Vol.113, p.173

2012

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Accuracy of fetal weight estimation with regard to clinical decision making in preterm birth at the limit of viability

Geburtshilfe und Frauenheilkunde, 2014, Vol.74 (S 01)

2014

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Early Aggressive Nutrition in Very Preterm Infants

Nestlé Nutrition workshop series. Pediatric programme, 2007, Vol.59, p.193-208

2007

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A telemonitoring service supporting preterm newborns care in a neonatal intensive care unit

2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI), 2017, p.1-6

2017

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Reducing the Risk of Premature Birth Through an Expert System Based on a Neural Network

Advances in Soft Computing, p.132-144

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How Proteins Improve the Development of Preterm Infants

Early Nutrition: Impact on Short- and Long-Term Health, 2011, Vol.68, p.33-48

2011

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Identifying Symptom Clusters in Women Experiencing Preterm Birth

Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2018, p.520-520

2018

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Electrohysterogram based Term and Preterm Delivery Classification System

2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2020, p.83-88

2020

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The essential role of nutrition in the care of the preterm infant: problems and perspectives

Journal of pediatric gastroenterology and nutrition, 2007, Vol.45

2007

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A Longitudinal Study of the Evolution of the Central Sulcus’ Shape in Preterm Infants Using Manifold Learning

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, p.143-152

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Automatic Detector of Abnormal EEG for Preterm Infants

Internet of Things (IoT) Technologies for HealthCare, p.82-87

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RehabVisual: An Application to Stimulate Visuomotor Skills in Preterm Babies with Developmental Alterations

Advances in Human Factors and Systems Interaction, p.177-184

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Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI?

Image Analysis and Processing. ICIAP 2022 Workshops, p.165-175

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Attributed Graphettes-Based Preterm Infants Motion Analysis

Complex Networks & Their Applications X, p.82-93

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User Persona of Mother of Preterm Neonate

Beyond Interactions, p.34-43

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Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, p.231-241

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An LSTM-based Recurrent Neural Network for Neonatal Sepsis Detection in Preterm Infants

2022 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2022, p.1-6

2022

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Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates

Preterm Birth and Bone Mineral Density in Young Adulthood: The Helsinki Study of Very Low Birth Weight Adults

Identifying Subgroups and Novel Brain-Behavior Associations in Adolescents Who were Born Very Preterm Using Bi-clustering Approaches

Nutritional Assessment in Preterm Infants

Predicting Preterm Birth Using Multimodal Fetal Imaging

Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach

MobileNet-based Prediction of Preterm Births

Transfer Entropy in Quantifying the Interactions in Preterm Labor

Management of intraventricular hemorrhage in preterm infants with low birth weight

Accuracy of fetal weight estimation with regard to clinical decision making in preterm birth at the limit of viability

Early Aggressive Nutrition in Very Preterm Infants

A telemonitoring service supporting preterm newborns care in a neonatal intensive care unit

Reducing the Risk of Premature Birth Through an Expert System Based on a Neural Network

How Proteins Improve the Development of Preterm Infants

Identifying Symptom Clusters in Women Experiencing Preterm Birth

Electrohysterogram based Term and Preterm Delivery Classification System

The essential role of nutrition in the care of the preterm infant: problems and perspectives

A Longitudinal Study of the Evolution of the Central Sulcus’ Shape in Preterm Infants Using Manifold Learning

Automatic Detector of Abnormal EEG for Preterm Infants

RehabVisual: An Application to Stimulate Visuomotor Skills in Preterm Babies with Developmental Alterations

Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI?

Attributed Graphettes-Based Preterm Infants Motion Analysis

User Persona of Mother of Preterm Neonate

Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes

An LSTM-based Recurrent Neural Network for Neonatal Sepsis Detection in Preterm Infants

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