LEADER 01135nam 2200397 450 001 9910467273703321 005 20200520144314.0 010 $a80-246-3718-9 035 $a(CKB)4340000000210120 035 $a(MiAaPQ)EBC5110758 035 $a(Au-PeEL)EBL5110758 035 $a(CaPaEBR)ebr11460373 035 $a(OCoLC)1009284212 035 $a(EXLCZ)994340000000210120 100 $a20171124h20172017 uy 0 101 0 $acze 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBy?t mi?stem Byti? $etri pri?spevky ke studiu Martina Heideggera /$fJiri? Micha?lek 210 1$a[Prague, Czech Republic] :$cKarolinum,$d2017. 210 4$dİ2017 215 $a1 online resource (54 pages) 311 $a80-246-3668-9 320 $aIncludes bibliographical references. 608 $aElectronic books. 676 $a111.0924 700 $aMicha?lek$b Jir?i?$01031619 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910467273703321 996 $aBy?t mi?stem Byti?$92449081 997 $aUNINA LEADER 00898nam a2200241 i 4500 001 991003703989707536 008 191001s1996 it 000 0 ita d 020 $a9788801000566 035 $ab14374183-39ule_inst 040 $aDip. di Studi Umanistici$bita 082 0 $a305.23 100 1 $aDe Vanna, Umberto$0681685 245 10$aRagazzi & ragazze :$bcome sono cambiati, come credono, come vivono insieme /24630$cUmberto de Vanna 246 30$aRagazzi e ragazze 264 1$aLeumann :$bElle Di Ci,$c1996 300 $a175 p. ;$c21cm 490 0 $aStrumenti per la pastorale giovanile 907 $a.b14374183$b01-10-19$c01-10-19 912 $a991003703989707536 945 $aLE005 305 DEV 01.02$g1$i2005000364471$lle005$og$pE7.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i15903965$z01-10-19 996 $aRagazzi & ragazze$91750426 997 $aUNISALENTO 998 $ale005$b01-10-19$cm$da $e-$fita$git $h0$i0 LEADER 05692nam 22007815 450 001 9910584480403321 005 20251225200548.0 010 $a3-031-09002-0 024 7 $a10.1007/978-3-031-09002-8 035 $a(MiAaPQ)EBC7045474 035 $a(Au-PeEL)EBL7045474 035 $a(CKB)24266138600041 035 $a(PPN)263897087 035 $a(BIP)85097586 035 $a(BIP)84294733 035 $a(DE-He213)978-3-031-09002-8 035 $a(EXLCZ)9924266138600041 100 $a20220714d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries $e7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part II /$fedited by Alessandro Crimi, Spyridon Bakas 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (617 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v12963 311 08$aPrint version: Crimi, Alessandro Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries Cham : Springer International Publishing AG,c2022 9783031090011 320 $aIncludes bibliographical references and index. 327 $aBiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation -- Optimized U-Net for Brain Tumor Segmentation -- MS UNet: Multi-Scale 3D UNet for Brain Tumor Segmentation -- Evaluating Scale Attention Network for Automatic Brain Tumor Segmentation with Large Multi-parametric MRI Database -- Orthogonal-Nets: A large ensemble of 2D neural networks for 3D Brain Tumor Segmentation -- Feature Learning by Attention and Ensemble with 3D U-Net to Glioma Tumor Segmentation -- MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Convolutional Neural Networks -- Brain Tumor Segmentation with Patch-based 3D Attention UNet from Multi-parametric MRI -- Dice Focal Loss with ResNet-like Encoder-Decoder architecture in 3D Brain Tumor Segmentation -- HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging -- Disparity Autoencoders for Multi-class Brain Tumor Segmentation -- Disparity Autoencoders for Multi-class Brain Tumor Segmentation -- Disparity Autoencoders for Multi-class BrainTumor Segmentation -- Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging using Model Ensembling and Super-resolution -- Quality-aware Model Ensemble for Brain Tumor Segmentation -- Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs -- An Ensemble Approach to Automatic Brain Tumor Segmentation -- Extending nn-UNet for brain tumor segmentation -- Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge -- Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI -- Deep Learning based Ensemble Approach for 3D MRI Brain Tumor Segmentation -- Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features -- bining CNNs With Transformer for Multimodal 3D MRI Brain Tumor Segmentation -- Automatic Brain Tumor Segmentation with a Bridge-Unet deeply supervised enhanced with downsampling pooling combination, Atrous Spatial Pyramid Pooling, Squeeze-and-Excitation and EvoNorm. 330 $aThis two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the challenge on Quantification of Uncertainties in Biomedical Image Quantification (QUBIQ). These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in September 2021. The 91 revised papers presented in these volumes were selected form 151 submissions. Due to COVID-19 pandemic the conference was held virtually. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v12963 606 $aComputer vision 606 $aMedical informatics 606 $aSocial sciences$xData processing 606 $aApplication software 606 $aEducation$xData processing 606 $aArtificial intelligence 606 $aComputer Vision 606 $aHealth Informatics 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer and Information Systems Applications 606 $aComputers and Education 606 $aArtificial Intelligence 615 0$aComputer vision. 615 0$aMedical informatics. 615 0$aSocial sciences$xData processing. 615 0$aApplication software. 615 0$aEducation$xData processing. 615 0$aArtificial intelligence. 615 14$aComputer Vision. 615 24$aHealth Informatics. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer and Information Systems Applications. 615 24$aComputers and Education. 615 24$aArtificial Intelligence. 676 $a616.99481 676 $a616.80754 702 $aBakas$b Spyridon 702 $aCrimi$b Alessandro 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910584480403321 996 $aBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries$92032252 997 $aUNINA