Simplifying Medical Ultrasound

Kainz B, Noble JA, Schnabel J, Khanal B, Müller J, Day T (2023)

Publication Type: Edited Volume

Publication year: 2023

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer

Series: Lecture Notes in Computer Science

City/Town: Cham

Book Volume: 14337

Conference Proceedings Title: Simplifying Medical Ultrasound

Event location: Vancouver

ISBN: 9783031445200

DOI: 10.1007/978-3-031-44521-7

Abstract

This book constitutes the proceedings of the 4th International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023.

The 19 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: advanced imaging, segmentation, and ultrasound techniques; predictive analysis, learning, and classification; multimodal imaging, reconstruction, and real-time applications; diagnostic enhancements and novel ultrasound innovations.

Editors with CRIS profile

Bernhard Kainz Professur für Image Data Exploration and Analysis Johanna Müller Professur für Image Data Exploration and Analysis

Involved external institutions

Nepal Institute for Applied Mathematics and Informatics Institute for Research

Nepal (NP) University of Oxford

United Kingdom (GB) Technische Universität München (TUM)

Germany (DE) King’s College London

United Kingdom (GB)

How to cite

APA:

Kainz, B., Noble, J.A., Schnabel, J., Khanal, B., Müller, J., & Day, T. (Eds.) (2023). Simplifying Medical Ultrasound. Cham: Springer.

MLA:

Kainz, Bernhard, et al, eds. Simplifying Medical Ultrasound. Cham: Springer, 2023.

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