LEADER 04264nam 22006495 450 001 9910427674303321 005 20250505090225.0 010 $a3-030-62469-2 024 7 $a10.1007/978-3-030-62469-9 035 $a(CKB)4100000011558829 035 $a(DE-He213)978-3-030-62469-9 035 $a(MiAaPQ)EBC6384537 035 $a(PPN)252506715 035 $a(EXLCZ)994100000011558829 100 $a20201103d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aThoracic Image Analysis $eSecond International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings /$fedited by Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 166 p. 63 illus., 49 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12502 300 $aIncludes index. 311 08$a3-030-62468-4 327 $aMulti-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. 330 $aThis book constitutes the proceedings of the Second International Workshop on Thoracic Image Analysis, TIA 2020, held in Lima, Peru, in October 2020. Due to COVID-19 pandemic the conference was held virtually. COVID-19 infection has brought a lot of attention to lung imaging and the role of CT imaging in the diagnostic workflow of COVID-19 suspects is an important topic. The 14 full papers presented deal with all aspects of image analysis of thoracic data, including: image acquisition and reconstruction, segmentation, registration, quantification, visualization, validation, population-based modeling, biophysical modeling (computational anatomy), deep learning, image analysis in small animals, outcome-based research and novel infectious disease applications. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12502 606 $aComputer vision 606 $aApplication software 606 $aComputers 606 $aArtificial intelligence 606 $aComputer Vision 606 $aComputer and Information Systems Applications 606 $aComputing Milieux 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 615 0$aComputer vision. 615 0$aApplication software. 615 0$aComputers. 615 0$aArtificial intelligence. 615 14$aComputer Vision. 615 24$aComputer and Information Systems Applications. 615 24$aComputing Milieux. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 676 $a617.540757 702 $aPetersen$b Jens 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427674303321 996 $aThoracic image analysis$92247216 997 $aUNINA