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Simplifying medical ultrasoundthird International Workshop, ASMUS 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Simplifying medical ultrasoundedited by Stephen Aylward ... [et al.].
Reminder of title:	third International Workshop, ASMUS 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
remainder title:	ASMUS 2022
other author:	Aylward, Stephen.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	xi, 194 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic ultrasonic imagingCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-031-16902-1
ISBN:	9783031169021$q(electronic bk.)

Simplifying medical ultrasoundthird 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] :ASMUS 2022edited by Stephen Aylward ... [et al.]. - Cham :Springer International Publishing :2022. - xi, 194 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,135650302-9743 ;. - Lecture notes in computer science ;4891..

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$q(electronic bk.)

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

906922
Diagnostic ultrasonic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.U4 / A76 2022

Dewey Class. No.: 616.07543

Simplifying medical ultrasoundthird International Workshop, ASMUS 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
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