LEADER 03383oam 2200469 450 001 996418217403316 005 20210417132821.0 010 $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 $a20210417d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aThoracic image analysis $esecond international workshop,TIA 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, proceedings /$fJens Petersen [and seven others] (editors) 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (X, 166 p. 63 illus., 49 illus. in color.) 225 1 $aLecture notes in computer science ;$v12502 300 $aIncludes index. 311 $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 $aThis book constitutes the proceedings of the Second International Workshop on Thoracic Image Analysis, TIA 2020, held in Lima, Peru, in October 2020. Due to COVID-19 pandemic the conference was held virtually. COVID-19 infection has brought a lot of attention to lung imaging and the role of CT imaging in the diagnostic workflow of COVID-19 suspects is an important topic. The 14 full papers presented deal with all aspects of image analysis of thoracic data, including: image acquisition and reconstruction, segmentation, registration, quantification, visualization, validation, population-based modeling, biophysical modeling (computational anatomy), deep learning, image analysis in small animals, outcome-based research and novel infectious disease applications. 410 0$aLecture notes in computer science ;$v12502. 606 $aChest$xImaging$vCongresses 615 0$aChest$xImaging 676 $a617.540757 702 $aPetersen$b Jens 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996418217403316 996 $aThoracic image analysis$92247216 997 $aUNISA