Nourhan Bayasi – författare

This book constitutes the refereed proceedings of the first MICCAI Doctoral Symposium, held in conjunction with the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025.The 28 full papers included in this book were carefully reviewed and selected from 28 submissions. They were organized in topical sections as follows: Neuroimaging and Neurovascular Analysis; Cardiovascular and Pulmonary Imaging; Computational Pathology and Cancer Imaging; Machine Learning – Fairness and Multimodal Learning; Machine Learning – Representation Learning and Foundation Models; Image Reconstruction, Segmentation, and Radiotherapy; and Surgical and Clinical Video Analysis.

This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.