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020 _a9783031169021
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024 7 _a10.1007/978-3-031-16902-1
_2doi
050 4 _aTA1501-1820
050 4 _aTA1634
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072 7 _aCOM016000
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072 7 _aUYT
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082 0 4 _a006
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245 1 0 _aSimplifying Medical Ultrasound
_h[electronic resource] :
_bThird International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /
_cedited by Stephen Aylward, J. Alison Noble, Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXI, 194 p. 73 illus., 69 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13565
505 0 _aClassification 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.
520 _aChapters "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.
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_990058
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aArtificial intelligence.
_93407
650 0 _aApplication software.
_990059
650 1 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aComputer Engineering and Networks.
_990060
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer and Information Systems Applications.
_990061
700 1 _aAylward, Stephen.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aNoble, J. Alison.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990063
700 1 _aHu, Yipeng.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990064
700 1 _aLee, Su-Lin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990065
700 1 _aBaum, Zachary.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990066
700 1 _aMin, Zhe.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990067
710 2 _aSpringerLink (Online service)
_990068
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031169014
776 0 8 _iPrinted edition:
_z9783031169038
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13565
_923263
856 4 0 _uhttps://doi.org/10.1007/978-3-031-16902-1
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