
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.
Inhaltsverzeichnis
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.
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