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Simplifying Medical Ultrasound = Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Simplifying Medical Ultrasound/ edited by Stephen Aylward, J. Alison Noble, Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min.
Reminder of title:	Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /
other author:	Aylward, Stephen.
Description:	XI, 194 p. 73 illus., 69 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Image processing—Digital techniques. -
Online resource:	https://doi.org/10.1007/978-3-031-16902-1
ISBN:	9783031169021

Simplifying Medical Ultrasound = Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /
Simplifying Medical UltrasoundThird International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /[electronic resource] :edited by Stephen Aylward, J. Alison Noble, Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min. - 1st ed. 2022. - XI, 194 p. 73 illus., 69 illus. in color.online resource. - Lecture Notes in Computer Science,135651611-3349 ;. - Lecture Notes in Computer Science,9324.

Classification and Detection -- Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction -- Spatio-temporal model for EUS video detection of Pancreatic Anatomy Structures -- RL based Unsupervised Video Summarization framework for Ultrasound Imaging -- Prediction of Kidney Transplant Function with Machine Learning from Computational Ultrasound Features -- Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series -- End-to-End Myocardial Infarction Classification from Echocardiographic Scans -- View Classification of Color Doppler Echocardiography via Automatic Alignment between Doppler and B-mode Imaging -- Segmentation and Reconstruction -- AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography -- 3D Cardiac Anatomy Reconstruction from 2D Segmentations: a Study using Synthetic Data -- Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography -- Adnexal Mass Segmentation with Ultrasound Data Synthesis -- Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction -- A Universal End-to-End Universal Description of Pulse-Echo Ultrasound Image Reconstruction -- Assessment, Guidance and Robotics -- Learning Generalized Non-Rigid Multimodal Biomedical Image Registration from Generic Point Set Data -- Contact force Prediction for a Robotic Transesophageal Ultrasound Probe via Operating Torque Sensing -- Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration -- Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images -- Towards Multi-Modal Self-Supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery.

Chapters "Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography" and "3D Cardiac Anatomy Reconstruction from 2D Segmentations: a Study using Synthetic Data" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

ISBN: 9783031169021

Standard No.: 10.1007/978-3-031-16902-1doiSubjects--Topical Terms:

1365735
Image processing—Digital techniques.

LC Class. No.: TA1501-1820

Dewey Class. No.: 006

Simplifying Medical Ultrasound = Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /
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