ABC imagem cardiovascular |
Pubbl/distr/stampa | São Paulo, Brazil : , : Atha Mais Editora |
Descrizione fisica | 1 online resource (volumes) : illustrations (some color) |
Disciplina | 610 |
Soggetto topico |
Echocardiography
Heart - Imaging Cardiovascular system - Diseases Diagnostic imaging Medicine |
Soggetto genere / forma | Electronic journals. |
Soggetto non controllato |
cardiovascular medicine
medical imaging |
ISSN | 2675-312X |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | por |
Altri titoli varianti | Arquivos Brasileiros de Cardiologia imagem cardiovascular |
Record Nr. | UNISA-996483669003316 |
São Paulo, Brazil : , : Atha Mais Editora | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
ABC imagem cardiovascular |
Pubbl/distr/stampa | São Paulo, Brazil : , : Atha Mais Editora |
Descrizione fisica | 1 online resource (volumes) : illustrations (some color) |
Disciplina | 610 |
Soggetto topico |
Echocardiography
Heart - Imaging Cardiovascular system - Diseases Diagnostic imaging Medicine |
Soggetto genere / forma | Electronic journals. |
Soggetto non controllato |
cardiovascular medicine
medical imaging |
ISSN | 2675-312X |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | por |
Altri titoli varianti | Arquivos Brasileiros de Cardiologia imagem cardiovascular |
Record Nr. | UNINA-9910586561503321 |
São Paulo, Brazil : , : Atha Mais Editora | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advanced Computational Methods for Oncological Image Analysis |
Autore | Rundo Leonardo |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (262 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
melanoma detection
deep learning transfer learning ensemble classification 3D-CNN immunotherapy radiomics self-attention breast imaging microwave imaging image reconstruction segmentation unsupervised machine learning k-means clustering Kolmogorov-Smirnov hypothesis test statistical inference performance metrics contrast source inversion brain tumor segmentation magnetic resonance imaging survey brain MRI image tumor region skull stripping region growing U-Net BRATS dataset incoherent imaging clutter rejection breast cancer detection MRgFUS proton resonance frequency shift temperature variations referenceless thermometry RBF neural networks interferometric optical fibers breast cancer risk assessment machine learning texture mammography medical imaging imaging biomarkers bone scintigraphy prostate cancer semisupervised classification false positives reduction computer-aided detection breast mass mass detection mass segmentation Mask R-CNN dataset partition brain tumor classification shallow machine learning breast cancer diagnosis Wisconsin Breast Cancer Dataset feature selection dimensionality reduction principal component analysis ensemble method |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557353503321 |
Rundo Leonardo | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster |
Autore | Özarslan Evren |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Springer Nature, 2021 |
Descrizione fisica | 1 online resource (X, 280 p. 109 illus., 91 illus. in color.) |
Disciplina | 004 |
Collana | Mathematics and Visualization |
Soggetto topico |
Mathematics
Visualization Matrix theory Algebra Computer mathematics Optical data processing Mathematical physics Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics |
Soggetto non controllato |
Visualization
Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics Data and Information Visualization Linear Algebra tensor tensor fields higher-order harmonics spherical harmonics image processing medical imaging diffusion-weighted imaging (DWI) structural mechanics astrophysics statistics open access Combinatorics & graph theory Algebra Maths for scientists Computer vision Mathematical physics |
ISBN | 3-030-56215-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry. |
Record Nr. | UNISA-996466563203316 |
Özarslan Evren | ||
Springer Nature, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster |
Autore | Özarslan Evren |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Springer Nature, 2021 |
Descrizione fisica | 1 online resource (X, 280 p. 109 illus., 91 illus. in color.) |
Disciplina | 004 |
Collana | Mathematics and Visualization |
Soggetto topico |
Mathematics
Visualization Matrix theory Algebra Computer mathematics Optical data processing Mathematical physics Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics |
Soggetto non controllato |
Visualization
Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics Data and Information Visualization Linear Algebra tensor tensor fields higher-order harmonics spherical harmonics image processing medical imaging diffusion-weighted imaging (DWI) structural mechanics astrophysics statistics open access Combinatorics & graph theory Algebra Maths for scientists Computer vision Mathematical physics |
ISBN | 3-030-56215-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry. |
Record Nr. | UNINA-9910473459203321 |
Özarslan Evren | ||
Springer Nature, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Applications of Artificial Intelligence in Medicine Practice |
Autore | Kang Kyungtae |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (184 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
computational intelligence
medical assistance instance-based learning healthcare clinical decision support systems deep neural networks medical imaging backdoor attacks security and privacy COVID-19 gastric cancer endoscopy deep learning convolutional neural network brain pituitary adenoma dysembryoplastic neuroepithelial tumor DNET ganglioglioma digital pathology computer vision machine learning CNN ATLAS HarDNet Swin transformer segmentation U-Net cerebral infarction CycleGAN advanced statistics schizophrenia aggression forensic psychiatry medical image segmentation CT image segmentation kernel density semi-automated labeling tool Bayesian learning neuroimaging feature selection kernel formulation mental disorders MRI visual acuity fundus images ophthalmology SVM |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910673905003321 |
Kang Kyungtae | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Applications of Medical Physics |
Autore | Gallo Salvatore |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (310 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
medical imaging
radiomics tomosynthesis acquisition angle percutaneous radioablation monte carlo dosimetry liver lesions molecular radiotherapy quality assurance in vivo dosimetry transmission radiation detectors whole breast irradiation MR-guided radiotherapy predictive models cervical cancer EOS conventional radiography computed tomography radiation dose enchondroma phantom medical worker radiological accident emergency response retrospective dosimetry ESR EPR fingernails antioxidant GEMPix GEMs Timepix Medipix radiation therapy hadron therapy microdosimetry gaseous detectors Covid-19 chest CT lungs HU density artificial intelligence deep learning medical physicist machine learning big data radioembolization internal dosimetry Monte Carlo-based dosimetry absorbed dose signal-noise ratio contrast-noise ratio figure of merit robust optimization high dose rate brachytherapy single plan approach median absolute deviation 99mTc-sestamibi breast-specific γ imaging breast cancer apoptosis theragnostic esophageal cancer neoadjuvant chemoradiation squamous cell carcinoma epicardial adipose tissue machine and deep learning partial volume effect quantitative analysis point spread function post-reconstruction-correction-method iterative reconstruction algorithms ASiR ASiR-V noise level noise spatial uniformity in vivo relative dosimetry proton radiotherapy quality controls beam monitoring nanoparticles scintillation ionizing energy deposition photodynamic therapy singlet oxygen protontherapy RBE radiobiology Geant4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580212303321 |
Gallo Salvatore | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Cyclodextrin Chemistry and Toxicology |
Autore | Isidori Marina |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (248 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences |
Soggetto non controllato |
cyclodextrin
sulfamethazine zwitterion host-guest complex thermodynamics nanosponges β-cyclodextrin glutathione cancer multicellular spheroids inclusion complexes solubilization nanosponge nanocarriers pharmaceutical applications molecular recognition phenomena molecular dynamics simulations drug delivery drug concentration dyeing textile finishing textile wastewater cyclodextrins HPβCD budesonide inflammation ROS Akt HDAC cholesterol medical imaging contrast agents α-cyclodextrin γ-cyclodextrin MRI PET CT SPECT PAI Cinnamomum osmophloeum linalool microencapsulation cyclodextrin inclusion solution-phase solid state antiretroviral 3-hydroxyflavone (3HF) γ-cyclodextrin (γ-CD) excited-state proton transfer (ESPT) molecular dynamics (MD) density functional theory (DFT) cyclodextrin polymers synthesis separation science materials science biomedicine retinal explant cytotoxicity uptake risperidone inclusion complex randomly methylated β-cyclodextrin compatibility studies excipients solubility stability aggregation doxorubicin nanoparticles alveograph wheat dough bread staling |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910585942703321 |
Isidori Marina | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Deep Learning in Medical Image Analysis |
Autore | Zhang Yudong |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (458 p.) |
Soggetto non controllato |
interpretable/explainable machine learning
image classification image processing machine learning models white box black box cancer prediction deep learning multimodal learning convolutional neural networks autism fMRI texture analysis melanoma glcm matrix machine learning classifiers explainability explainable AI XAI medical imaging diagnosis ARMD change detection unsupervised learning microwave breast imaging image reconstruction tumor detection digital pathology whole slide image processing multiple instance learning deep learning classification HER2 medical images transfer learning optimizers neo-adjuvant treatment tumour cellularity cancer breast cancer diagnostics imaging computation artificial intelligence 3D segmentation active surface discriminant analysis PET imaging medical image analysis brain tumor cervical cancer colon cancer lung cancer computer vision musculoskeletal images lung disease detection taxonomy convolutional neural network CycleGAN data augmentation dermoscopic images domain transfer macroscopic images skin lesion segmentation infection detection COVID-19 X-ray images bayesian inference shifted-scaled dirichlet distribution MCMC gibbs sampling object detection surgical tools open surgery egocentric camera computers in medicine segmentation MRI ECG signal detection portable monitoring devices 1D-convolutional neural network medical image segmentation domain adaptation meta-learning U-Net computed tomography (CT) magnetic resonance imaging (MRI) low-dose sparse-angle quantitative comparison |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557435103321 |
Zhang Yudong | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Digital Transformation in Healthcare |
Autore | Soares dos Santos Marco P |
Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
Descrizione fisica | 1 electronic resource (260 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
eHealth
mHealth telemedicine telehealth social sciences bibliometrics telediagnostic project management funding IT infrastructure cross-border multiprofessional team European Union Interreg reporting quality control resident diagnostic error artificial intelligence healthcare AI deployment and scaling medical center critical factors stakeholders health information technology information sharing hospital costs poverty ratio concentration continuous glucose monitoring insulin pump continuous subcutaneous insulin infusion pediatric diabetes biomedical data medical imaging shared data massive databases AI-based healthcare solutions trueness 3D printing milling interim dental crown digital dentistry dental device data mining bio-signal analysis bio-signal repository execution engine bio-signal monitoring digital healthcare patient-centric blockchain federated learning coronavirus (COVID-19) pandemic management healthcare transformation public health strategies stroke detection portable head scanner low-intensity EM waves intrinsically safe low carbon footprint orthodontic treatment clear aligners smart application AI computerized learning behavior change techniques decision tree algorithm digital interventions mental health literacy audiovisual dentistry computer-controlled local anesthetic delivery ultrasounds chemomechanical caries removal modern technologies laser ozone healthcare emergency department patient flow simulation modeling agent-based modeling pandemic decision support additive manufacturing patient-centric dosage form |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910595067103321 |
Soares dos Santos Marco P | ||
Basel, : MDPI Books, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|