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Link zu diesem Datensatz | https://d-nb.info/1377178773 |
Titel | Perinatal, Preterm and Paediatric Image Analysis : 10th International Workshop, PIPPI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings / edited by Daphna Link-Sourani, Esra Abaci Turk, Wietske Bastiaansen, Jana Hutter, Andrew Melbourne, Roxane Licandro |
Person(en) |
Link-Sourani, Daphna (Herausgeber) Abaci Turk, Esra (Herausgeber) Bastiaansen, Wietske (Herausgeber) Hutter, Jana (Herausgeber) Melbourne, Andrew (Herausgeber) Licandro, Roxane (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2026 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2026 |
Umfang/Format | Online-Ressource, XII, 212 p. 74 illus. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-05996-3 Printed edition:: ISBN: 978-3-032-05998-7 |
Inhalt | Fetal Brain MRI: Reconstruction, Segmentation, and Development -- Automatic Quality Control in Multi-Centric Fetal Brain MRI Super-Resolution Reconstruction -- D SVG: Diffusion-Based Slice-to-Volume Generation with Implicit Neural Representation for Fetal Brain MRI -- Continuous Spatio Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction -- Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation -- Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology Informed Domain Randomization -- Physics Informed Joint Multi TE Super Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping -- Robustness and Diagnostic Performance of Super Resolution Fetal Brain MRI -- Enhancing Fetal Brain MRI Segmentation in Ventriculomegaly Using Generative AI Augmented Pathological Data -- FetGEs a Deep Learning Approach for Fetal MRI Ganglionic Eminence Segmentation -- Quantifying Fetal Periventricular White Matter Development Using Multimodal MRI -- LLM and Functional Imaging in Fetal and Placental MRI -- FetalExtract LLM: Structured Information Extraction from Free Text Fetal MRI Reports Based on Privacy Ensuring Open weights Large Language Models -- Automated Biometry for Assessing Cephalopelvic Disproportion in 3D 0.55T Fetal MRI at Term -- Contrast Invariant Self Supervised Segmentation for Quantitative Placental MRI -- PUUMA Functional MRI Prediction of Gestational Age at Birth and Preterm Risk -- Robust Alignment of the Human Embryo in 3D Ultrasound Using PCA and Classifier Ensembles -- Neonatal and Pediatric Imaging -- NEUBORN: The Neurodevelopmental Evolution Framework Using Biomechanical Remodeling -- Anatomically Informed Dynamic Weighting for Semi Supervised Fetal MRI Segmentation -- Towards a Comprehensive Morphological, Dynamic, and Functional MRI Investigation of the Pediatric Bowel at 0.55T |
Persistent Identifier |
URN: urn:nbn:de:101:1-2509230406263.223116338670 DOI: 10.1007/978-3-032-05997-0 |
URL | https://doi.org/10.1007/978-3-032-05997-0 |
ISBN/Einband/Preis | 978-3-032-05997-0 |
Sprache(n) | Englisch (eng) |
Beziehungen | Lecture Notes in Computer Science ; 16118 |
DDC-Notation | 616.075 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 610 Medizin, Gesundheit |
Online-Zugriff | Archivobjekt öffnen |
