{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":42,"n_cols":5,"rows_kept":42,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[13,2,13,3],[14,2,14,3],[16,2,16,3],[16,4,16,5],[17,2,17,3],[17,4,17,5],[18,2,18,3],[19,2,19,3],[21,2,21,3],[22,2,22,3],[23,2,23,3],[24,2,24,3],[25,2,25,3],[35,2,35,3],[36,2,36,3],[39,2,39,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNICAMPANIAVAN00124061"]
[null,null,"Autore",null,"Lurie, Konstantin A."]
[null,null,"Titolo",null,"An Introduction to the Mathematical Theory of Dynamic Materials / Konstantin A. Lurie"]
[null,null,"Pubbl/distr/stampa",null,"Cham, : Springer, 2017"]
[null,null,"Titolo uniforme",null,"An Introduction to the Mathematical Theory of Dynamic Materials"]
[null,null,"Edizione",null,"[2. ed]"]
[null,null,"Descrizione fisica",null,"xvii, 277 p. : ill. ; 24 cm"]
[null,null,"Soggetti",null,"35L05 - Wave equation [MSC 2020]"]
[{"$nulls":4},"35L70 - Second-order hyperbolic equations [MSC 2020]"]
[{"$nulls":4},"49K20 - Optimality conditions for problems involving partial differential equations [MSC 2020]"]
[{"$nulls":4},"49Sxx - Variational principles of physics [MSC 2020]"]
[{"$nulls":4},"78A40 - Waves and radiation in optics and electromagnetic theory [MSC 2020]"]
[{"$nulls":4},"78A48 - Composite media; random media in optics and electromagnetic theory [MSC 2020]"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910595048303321"]
[null,null,"Titolo",null,"Simplifying Medical Ultrasound : Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / / edited by Stephen Aylward, J. Alison Noble, Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"9783031169021"]
[{"$nulls":4},"3031169026"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (202 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 13565"]
[null,null,"Disciplina",null,"616.07543"]
[null,null,"Soggetti",null,"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Computer Engineering and Networks"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Classification and Detection -- Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction -- Spatio-temporal model for EUS video detection of Pancreatic Anatomy Structures -- RL based Unsupervised Video Summarization framework for Ultrasound Imaging -- Prediction of Kidney Transplant Function with Machine Learning from Computational Ultrasound Features -- Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series -- End-to-End Myocardial Infarction Classification from Echocardiographic Scans -- View Classification of Color Doppler Echocardiography via Automatic Alignment between Doppler and B-mode Imaging -- Segmentation and Reconstruction -- AI-enabled Assessment of Cardiac Systolic and "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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."]