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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part II / / edited by Alessandro Crimi, Spyridon Bakas
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part II / / edited by Alessandro Crimi, Spyridon Bakas
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (617 pages)
Disciplina 616.99481
616.80754
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Medical informatics
Social sciences - Data processing
Application software
Education - Data processing
Artificial intelligence
Computer Vision
Health Informatics
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
Computers and Education
Artificial Intelligence
ISBN 3-031-09002-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto BiTr-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.
Record Nr. UNINA-9910584480403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Neuroimaging Techniques in Clinical Practice : Physical Concepts and Clinical Applications / / edited by Manoj Mannil, Sebastian F.-X. Winklhofer
Neuroimaging Techniques in Clinical Practice : Physical Concepts and Clinical Applications / / edited by Manoj Mannil, Sebastian F.-X. Winklhofer
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (VIII, 342 p. 135 illus., 96 illus. in color.)
Disciplina 616.804757
616.80754
Soggetto topico Nervous system - Radiography
Radiology
Interventional radiology
Neuroradiology
Diagnostic Radiology
Interventional Radiology
Neurologia
Radiologia mèdica
Diagnòstic radiològic
Diagnòstic per la imatge
Soggetto genere / forma Llibres electrònics
ISBN 3-030-48419-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Ultrasound in Neuroimaging -- X-Ray -- Basics of Computed Tomography -- CT Angiography -- CT Perfusion -- Flat Panel CT/ Cone Beam CT -- Dual Energy CT -- Photon counting CT -- Basics of Magnetic Resonance Imaging -- MR Angiography -- Perfusion Techniques -- Susceptibility Weighted Imaging -- Diffusion weighted Imaging (DWI) -- Diffusion tensor imaging -- Diffusion kurtosis imaging Technical background and clinical applications -- IVIM Technical background and clinical applications -- MR Spectroscopy -- MTR -- Functional MRI -- PET in Neuroimaging -- EEG -- Radiomics – Outlook into the future.
Record Nr. UNINA-9910416133403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui