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Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth.

, , , , , и . UNSURE/GRAIL@MICCAI, том 12443 из Lecture Notes in Computer Science, стр. 164-173. Springer, (2020)

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Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth., , , , , и . UNSURE/GRAIL@MICCAI, том 12443 из Lecture Notes in Computer Science, стр. 164-173. Springer, (2020)Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents., , , , и . ASMUS/PIPPI@MICCAI, том 12437 из Lecture Notes in Computer Science, стр. 315-323. Springer, (2020)Blood Harmonisation of Endoscopic Transsphenoidal Surgical Video Frames on Phantom Models., , , , , , , , , и . ISBI, стр. 1-4. IEEE, (2024)Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain., , , , , и . Medical Image Anal., (февраля 2024)A Beating Heart Testbed for the Evaluation of Robotic Cardiovascular Interventions., , и . BioRob, стр. 1076-1082. IEEE, (2018)Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge., , , , , , , , , и 16 other автор(ы). Medical Image Anal., (2021)A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents., , , , и . ISBI, стр. 400-403. IEEE, (2019)Myelination of Preterm Brain Networks at Adolescence., , , , и . UNSURE/PIPPI@MICCAI, том 12959 из Lecture Notes in Computer Science, стр. 179-188. Springer, (2021)