04383nam a22006495i 4500 978-3-031-73083-2 DE-He213 20251030113115.0 cr nn 008mamaa 240929s2024 sz | s |||| 0|eng d 9783031730832 978-3-031-73083-2 10.1007/978-3-031-73083-2 doi TA1634 UYQV bicssc COM016000 bisacsh UYQV thema Clinical Image-Based Procedures [electronic resource] : 13th International Workshop, CLIP 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / edited by Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Stefan Wesarg, Marius Erdt. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 96 p. 38 illus., 36 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 15196 CloverNet - Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: an Application to Adaptive Radiation Therapy -- Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation -- Automated Multi-View Planning for Endovascular Aneurysm Repair Procedures -- HTSeg: Hybrid Two-stage Segmentation Framework for Intestine Segmentation from CT Volumes -- EnPrO: Enhancing Precision Through Optimization in Image-Guided Spine Surgical Procedures -- Patient-specific 3D Burn Size Estimation -- Novel CBCT-MRI Registration Approach for Enhanced Analysis of Temporomandibular Degenerative Joint Disease -- Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging -- Real-time Device Detection with Rotated Bounding Boxes and its Clinical Applications. This book constitutes the proceedings of the 13th Workshop on Clinical Image-Based Procedures, CLIP 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 9 full papers included in this book were carefully reviewed and selected from 11 submissions. They deal with Clinical image-based procedures, focusing on holistic patient models as an important step towards personalized healthcare. . Computer vision. Machine learning. 55059 Artificial intelligence. 58441 Computer networks . 60157 Social sciences Data processing. 65741 Computer Vision. Machine Learning. 55059 Artificial Intelligence. 58441 Computer Communication Networks. 65689 Computer Application in Social and Behavioral Sciences. 65743 Drechsler, Klaus. editor. edt http://id.loc.gov/vocabulary/relators/edt 85284 Oyarzun Laura, Cristina. editor. edt http://id.loc.gov/vocabulary/relators/edt 85285 Freiman, Moti. editor. (orcid)0000-0003-1083-1548 https://orcid.org/0000-0003-1083-1548 edt http://id.loc.gov/vocabulary/relators/edt 85286 Chen, Yufei. editor. edt http://id.loc.gov/vocabulary/relators/edt 85287 Wesarg, Stefan. editor. (orcid)0000-0002-2073-6010 https://orcid.org/0000-0002-2073-6010 edt http://id.loc.gov/vocabulary/relators/edt 85288 Erdt, Marius. editor. (orcid)0000-0002-1033-5205 https://orcid.org/0000-0002-1033-5205 edt http://id.loc.gov/vocabulary/relators/edt 85289 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031730825 Printed edition: 9783031730849 Lecture Notes in Computer Science, 1611-3349 ; 15196 https://doi.org/10.1007/978-3-031-73083-2 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 63847 63847