Quantitative Methods · Quantitative Biology
Early Biomarkers and Intervention Programs for the Infant Exposed to Prenatal Stress
Marta C. Antonelli, Martin G. Frasch, Mercedes Rumi, Ritika Sharma +3
2021-02-26
Neurons and Cognition · Quantitative Biology
Somatosensory prediction in premature neonates: iatrogenic pain experience increases repetition suppression and deviance detection of innocuous stimuli in a tactile oddball protocol
Anne-Lise Marais, Victoria Dumont, Marie Anquetil, Arnaud Mortier +2
2025-12-30
Applications · Statistics
Statistical Opportunities in Neuroimaging
Jian Kang, Thomas Nichols, Lexin Li, Martin A. Lindquist +1
2026-02-16
Image and Video Processing · Electrical Eng. & Systems
Estimation of preterm birth markers with U-Net segmentation network
Tomasz Włodarczyk, Szymon Płotka, Tomasz Trzciński, Przemysław Rokita +3
2019-08-27
Machine Learning · Computer Science
Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes
Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich +4
2023-10-18
Neurons and Cognition · Quantitative Biology
Investigating cerebral anomalies in preterm infants and associated risk factors with magnetic resonance imaging at term-equivalent age
Nicolas Elbaz, Valérie Biran, Chloé Ghozland, Laurie Devisscher +9
2026-01-22
Machine Learning · Statistics
Preterm Birth Prediction: Deriving Stable and Interpretable Rules from High Dimensional Data
Truyen Tran, Wei Luo, Dinh Phung, Jonathan Morris +2
2016-07-29
Tissues and Organs · Quantitative Biology
Microglial memory of early life stress and inflammation: susceptibility to neurodegeneration in adulthood
Paula Desplats, Ashley M. Gutierrez, Marta C. Antonelli, Martin G. Frasch
2019-11-11
Neurons and Cognition · Quantitative Biology
Normative Modelling in Neuroimaging: A Practical Guide for Researchers
Nida Alyas, Jonathan Horsley, Bethany Little, Peter N. Taylor +2
2025-10-21
Computer Vision and Pattern Recognition · Computer Science
Deep learning-based neurodevelopmental assessment in preterm infants
Lexin Ren, Jiamiao Lu, Weichuan Zhang, Benqing Wu +5
2026-01-21
Machine Learning · Computer Science
Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes
Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich +4
2022-07-13
Machine Learning · Computer Science
Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning
Nachiket Kapure, Harsh Joshi, Rajeshwari Mistri, Parul Kumari +5
2026-05-01
Computer Vision and Pattern Recognition · Computer Science
Lost in Distortion: Uncovering the Domain Gap Between Computer Vision and Brain Imaging -- A Study on Pretraining for Age Prediction
Yanteng Zhang, Songheng Li, Zeyu Shen, Qizhen Lan +3
2025-12-19
Machine Learning · Computer Science
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health
Abdullah Mamun, Lawrence D. Devoe, Mark I. Evans, David W. Britt +2
2026-04-29
Applications · Statistics
Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities
M. Filippone, A. F. Marquand, C. R. V. Blain, S. C. R. Williams +2
2013-01-15
Other Statistics · Statistics
Parental Imprints On Birth Weight: A Data-Driven Model For Neonatal Prediction In Low Resource Prenatal Care
Rajeshwari Mistri, Harsh Joshi, Nachiket Kapure, Parul Kumari +5
2026-05-04
Quantitative Methods · Quantitative Biology
Non-invasive biomarkers of fetal brain development reflecting prenatal stress: an integrative multi-scale multi-species perspective on data collection and analysis
Martin G. Frasch, Silvia Lobmaier, Tamara Stampalija, Paula Desplats +10
2019-01-01
Machine Learning · Computer Science
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc-André Schulz, Moritz Seiler, Henrik Walter +1
2023-01-23
Artificial Intelligence · Computer Science
Towards an educational tool for supporting neonatologists in the delivery room
Giorgio Leonardi, Clara Maldarizzi, Stefania Montani, Manuel Striani +1
2024-03-12
Image and Video Processing · Electrical Eng. & Systems
Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging
Yang Qi, Jiaxin Cai, Jing Lu, Runqing Xiong +3
2025-01-07