Author of the publication

Automatic measurements of the corpus callosum in the follow-up of preterm children: Methodology and validation.

, , , , , , and . DETERMINED, volume 3363 of CEUR Workshop Proceedings, page 18-27. CEUR-WS.org, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

NeoCam: An Edge-Cloud Platform for Non-Invasive Real-Time Monitoring in Neonatal Intensive Care Units., , , , , , , , and . IEEE J. Biomed. Health Informatics, 27 (6): 2614-2624 (June 2023)NRP: A Multi-Source, Heterogeneous, Automatic Data Collection System for Infants in Neonatal Intensive Care Units., , , , , and . IEEE J. Biomed. Health Informatics, 28 (2): 678-689 (February 2024)Gaussian Processes for Missing Value Imputation., , , and . CoRR, (2022)Towards an AI driven early detection of brain injuries in neonates through non-contact audio and video recording., , , , and . DETERMINED, volume 3363 of CEUR Workshop Proceedings, page 122-132. CEUR-WS.org, (2022)Automatic measurements of the corpus callosum in the follow-up of preterm children: Methodology and validation., , , , , , and . DETERMINED, volume 3363 of CEUR Workshop Proceedings, page 18-27. CEUR-WS.org, (2022)Eye-tracking test battery for detecting cognitive impairments in premature children., , , , , , and . DETERMINED, volume 3363 of CEUR Workshop Proceedings, page 28-38. CEUR-WS.org, (2022)Eye-tracking test battery for newborns: A pilot feasibility study., , , , , , and . DETERMINED, volume 3363 of CEUR Workshop Proceedings, page 39-48. CEUR-WS.org, (2022)MELAGE: A purely python based Neuroimaging software (Neonatal)., , and . CoRR, (2023)A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images., , and . Comput. Methods Programs Biomed., (December 2023)Automatic neonatal cranial ultrasound segmentation using deep learning: A review., , , , , and . DETERMINED, volume 3363 of CEUR Workshop Proceedings, page 49-64. CEUR-WS.org, (2022)