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Author TIA (Workshop) (2nd : 2020 : Online)

Title Thoracic image analysis : second international workshop, TIA 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings / Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori (eds.)
Published Cham, Switzerland : Springer, [2020]
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Description 1 online resource (x, 166 pages) : illustrations (some color)
Series LNCS sublibrary: SL6 -- Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 12502
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics ; 12502
Lecture notes in computer science ; 12502
Contents Multi-cavity Heart Segmentation in Non-contrast Non-ECG Gated CT Scans with F-CNN -- 3D Deep Convolutional Neural Network-based Ventilated Lung Segmentation using Multi-nuclear Hyperpolarized Gas MRI -- Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet -- 3D Probabilistic Segmentation and Volumetry from 2D Projection Images -- CovidDiagnosis: Deep Diagnosis of Covid-19 Patients using Chest X-rays -- Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification -- A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis -- Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection -- Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation -- MRI to CTA Translation for Pulmonary Artery Evaluation using CycleGANs Trained with Unpaired Data -- Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting -- Registration-Invariant Biomechanical Features for Disease Staging of COPD in SPIROMICS -- Deep Group-wise Variational Diffeomorphic Image Registration
Summary This book constitutes the proceedings of the Second International Workshop on Thoracic Image Analysis, TIA 2020, held in Lima, Peru, in October 2020. Due to COVID-19 pandemic the conference was held virtually. COVID-19 infection has brought a lot of attention to lung imaging and the role of CT imaging in the diagnostic workflow of COVID-19 suspects is an important topic. The 14 full papers presented deal with all aspects of image analysis of thoracic data, including: image acquisition and reconstruction, segmentation, registration, quantification, visualization, validation, population-based modeling, biophysical modeling (computational anatomy), deep learning, image analysis in small animals, outcome-based research and novel infectious disease applications
Notes Includes author index
Bibliography Includes bibliographical references and index
Notes Current copyright fee: GBP19.00 42\0. Uk
Online resource; title from PDF title page (SpringerLink, viewed January 27, 2021)
Subject Application software.
Artificial intelligence.
Chest -- Imaging -- Congresses
Computers.
Diagnostic imaging -- Data processing -- Congresses.
Image analysis -- Mathematical models -- Congresses
Optical data processing.
Thoracic Cavity -- diagnostic imaging.
Application software.
Artificial intelligence.
Computers.
Optical data processing.
Form Electronic book
Author Beichel, Reinhard, editor
Gerard, Sarah, editor.
Jacobs, Colin, editor
Lassen-Schmidt, Bianca, editor
Mori, Kensaku, editor.
Petersen, Jens, editor.
San José Estépar, Raúl, editor
Schmidt-Richberg, Alexander, editor.
International Conference on Medical Image Computing and Computer-Assisted Intervention (23rd : 2020 : Online)
ISBN 3030624692
9783030624699
Other Titles TIA 2020