Výsledky vyhledávání - "MAGNETIC-RESONANCE IMAGES"

Assessment of Convolutional Neural Networks for Glioblastoma Detection and Localization in Magnetic Resonance Imaging Scans

Autoři: Ivona Zakarija Ines Obradović Leon Trakoštanec a další

Zdroj: WSEAS TRANSACTIONS ON SYSTEMS. 24:619-632

Témata: magnetic resonance images, convolutional neural networks, glioblastoma, deep learning, object detection, image segmentation, image classification

Automated brain structure segmentation in magnetic resonance images of multiple sclerosis patients

Autoři: González-Villà, Sandra

Přispěvatelé: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors

Thesis Advisors: Lladó Bardera, Xavier, Oliver i Malagelada, Arnau

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Brain structures, Estructures cerebrals, Estructuras cerebrales, Segmentation, Segmentació, Segmentación, Magnetic resonance images, Imatges de ressonància magnètica, Imágenes de resonancia magnética, Multiple sclerosis, Esclerosi múltiple, Esclerosis múltiple, Multi-atlas, Multi-atles, Label fusion, Fusió d'etiquetes, Fusión de etiquetas

Time: 616.8

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/667616

Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data

Autoři: Gravina, Michela García-Pedrero, Angel Gonzalo-Martín, Consuelo a další

Zdroj: Artificial Intelligence in Medicine. 149

Témata: Convolutional neural networks, Magnetic resonance images, Multimodal deep learning, Positron emission tomography

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-221058
https://doi.org/10.1016/j.artmed.2024.102774

A comparison of two low-cost 3D printing techniques for constructing phantoms from MRI breast images

Autoři: Bliznakova, K. Georgiev, T. Sarno, A. a další

Zdroj: International Journal of Radiation Research

Témata: 3D printing, anthropomorphic breast phantoms, fused-deposition modeling, inkjetprinting, magnetic resonance images, X-rays

Popis souboru: application/pdf

3D-MobiBrainNet: Multi-class Alzheimer’s disease classification using 3D brain magnetic resonance imaging

Autoři: Zia-ur Rehman Mohd Khalid Awang Ghulam Ali a další

Zdroj: Ain Shams Engineering Journal, Vol 16, Iss 11, Pp 103714- (2025)

Témata: 3D imaging, Deep learning, Multi class classification, 3D-MobiBrainNet, Three planes images, Magnetic resonance images, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447925004551; https://doaj.org/toc/2090-4479

Přístupová URL adresa: https://doaj.org/article/36f1025422bb464e95a7f6dd66fd2aa2

Using 3D U-Net for Brain Tumour Segmentation from Magnetic Resonance Images

Autoři: Muhammed Uhudhan Ateş Recep Tahir Günlü Ekin Ekinci a další

Zdroj: Volume: 12, Issue: 381-87
Academic Platform Journal of Engineering and Smart Systems

Témata: Deep Learning, Derin Öğrenme, magnetic resonance images, brain tumour, deep learning, semantic segmentation, 3D U-Net

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/apjess/issue/87354/1508913

Speed and efficiency: evaluating pulmonary nodule detection with AI-enhanced 3D gradient echo imaging

Autoři: Sebastian Ziegelmayer Alexander W. Marka Maximilian Strenzke a další

Zdroj: Eur Radiol

Témata: 03 medical and health sciences, 0302 clinical medicine, Chest, Lung, Multiple pulmonary nodules, Magnetic resonance images, Computed tomography, ddc, 3. Good health

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39154315
https://mediatum.ub.tum.de/1792220

Brain Tumor Segmentation and Classification Using CNN Pre-Trained VGG-16 Model in MRI Images

Autoři: Gayathri T. Sundeep Kumar K.

Zdroj: International Islamic University Malaysia Engineering Journal, Vol 25, Iss 2 (2024)

Témata: Brain tumor, Magnetic Resonance Images, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Convolutional Neural Network, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), 3. Good health

Přístupová URL adresa: https://doaj.org/article/064ec29a29e349a685e800a4c9ad2ab7

Artificial Intelligent Model for early and accurate brain cancer detection

Autoři: Salami, Aishat Alade, Oluwaseun Olarenwaju

Zdroj: Information Technologist (The); Vol. 22 No. 1 (2025); 244-255

Témata: Nervous, System, Brain, Tumors, Magnetic, Resonance, Images, Convolutional, Neural, Network

Popis souboru: application/pdf

Přístupová URL adresa: https://www.ajol.info/index.php/ict/article/view/299505

Automatic design of W-operators using membership functions: a case study in brain MRI segmentation

Autoři: Emilio José Robalino Trujillo Agustina Bouchet Virginia L. Ballarin a další

Zdroj: Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)

Témata: Artificial intelligence, MAGNETIC RESONANCE IMAGES, 4. Education, SEGMENTATION, 02 engineering and technology, 15. Life on land, Pattern recognition (psychology), Computer science, 7. Clean energy, Segmentation, Computer Science, Physical Sciences, Shape Matching and Object Recognition, 0202 electrical engineering, electronic engineering, information engineering, Computational Modeling of Visual Saliency Detection, MEMBERSHIP FUNCTIONS, GENERALIZATION PROBLEM, Image Segmentation Techniques, W-OPERATORS, Computer Vision and Pattern Recognition

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/10651/74917
http://hdl.handle.net/11336/254637

Isfahan Artificial Intelligence Event 2023: Lesion Segmentation and Localization in Magnetic Resonance Images of Patients with Multiple Sclerosis

Autoři: Fariba Davanian Iman Adibi Mahnoosh Tajmirriahi a další

Zdroj: J Med Signals Sens
Journal of Medical Signals and Sensors, Vol 15, Iss 2, Pp 5-5 (2025)

Témata: magnetic resonance images, Methodological Article, Medical technology, R855-855.5, multiple sclerosis, lesion detection

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40191684
https://doaj.org/article/ec7c939823db45378d0042708ffd6791

HAB‐Net: Hierarchical asymmetric convolution and boundary enhancement network for brain tumor segmentation

Autoři: Yuanjing Hu Aibin Huang Rui Xu

Zdroj: IET Image Processing, Vol 18, Iss 7, Pp 1809-1822 (2024)

Témata: magnetic resonance images, 0301 basic medicine, Transformer, QA76.75-76.765, 0303 health sciences, 03 medical and health sciences, Boundary attention, Photography, Computer software, hierarchical convolution, TR1-1050, Brain tumor segmentation

Přístupová URL adresa: https://doaj.org/article/a34b4b26d4264156bd486c32fe8114f5

Effects of current alcohol use on brain volume among older adults in the Gothenburg H70 Birth Cohort study 2014-16

Autoři: Lindberg, Olle R Ahlner, Felicia Tsevis, T. a další

Zdroj: European Archives of Psychiatry and Clinical Neuroscience. 274:363-373

Témata: Neurosciences, Neurovetenskaper, Alcohol consumption, Elderly, Population-based, Brain changes, Diffusion tensor, Structural magnetic resonance images

Přístupová URL adresa: https://gup.ub.gu.se/publication/330448

Establishment of an MRI-based radiomics model for distinguishing between intramedullary spinal cord tumor and tumefactive demyelinating lesion

Autoři: Zifeng Zhang Ning Li Yuhang Qian a další

Zdroj: BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)

Témata: Intramedullary spinal cord tumor, Tumefactive demyelinating lesion, Magnetic resonance images, Radiomics, Medical technology, R855-855.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2342

Přístupová URL adresa: https://doaj.org/article/c73fa05a701047389d2d7d52aa1368fb

An effective no-reference image quality index prediction with a hybrid Artificial Intelligence approach for denoised MRI images

Autoři: Prianka Ramachandran Radhabai Kavitha KVN Ashok Shanmugam a další

Zdroj: BMC Medical Imaging, Vol 24, Iss 1, Pp 1-19 (2024)

Témata: Image Quality Assessment, Magnetic Resonance Images, Artificial Intelligence, Hybridization, Multi-objective optimization, Performance metrics, Medical technology, R855-855.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2342

Přístupová URL adresa: https://doaj.org/article/63818133001d492d81c80c7b4f9dd15d

TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images

Autoři: Igor Stępień

Zdroj: SoftwareX, Vol 29, Iss , Pp 102073- (2025)

Témata: Image quality assessment, Magnetic resonance images, Perceptual image quality, Toolbox, Benchmark, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711025000408; https://doaj.org/toc/2352-7110

Přístupová URL adresa: https://doaj.org/article/e377e5255c5a470385cf712a8132158e

Classification of brain stroke based on susceptibility-weighted imaging using machine learning

Autoři: Kandaya, Shaarmila orcid:0000-0001-5529- Saad, Norhashimah Mohd a další

Témata: Brain disorders imaging, Magnetic resonance images, Qualitative losses, Stroke lesion, Susceptibility weighted, Time is brain

Relation: https://zenodo.org/records/14868198; oai:zenodo.org:14868198

Dostupnost: https://doi.org/10.11591/ijece.v15i2.pp1602-1611
https://zenodo.org/records/14868198

Supplemental Table 2. Regression models of inflammatory markers (predictor) and renal sinus fat (outcome).

Autoři: William W. Hundley Nathaniel S. O’Connell Danielle L. Kirkman a další

Témata: Cell Biology, Pharmacology, Biotechnology, Developmental Biology, Cancer, Science Policy, Infectious Diseases, Computational Biology, reported white race, magnetic resonance images, 40 &# 8201, ci ], 98213 , 34 ], 29 ], iii bc randomized, lower egfr values, 12 [− 0, 2 , stage ii bc, placebo group relative, 2 kg, study group, − 0, %22">xlink ">, study drug, signal remained, secondary analysis, renal function

Relation: https://figshare.com/articles/journal_contribution/Supplemental_Table_2_Regression_models_of_inflammatory_markers_predictor_and_renal_sinus_fat_outcome_/30140188

Dostupnost: https://doi.org/10.1371/journal.pone.0318017.s002
https://figshare.com/articles/journal_contribution/Supplemental_Table_2_Regression_models_of_inflammatory_markers_predictor_and_renal_sinus_fat_outcome_/30140188

Supplemental CONSORT Diagram.

Autoři: William W. Hundley Nathaniel S. O’Connell Danielle L. Kirkman a další

Témata: Cell Biology, Pharmacology, Biotechnology, Developmental Biology, Cancer, Science Policy, Infectious Diseases, Computational Biology, reported white race, magnetic resonance images, 40 &# 8201, ci ], 98213 , 34 ], 29 ], iii bc randomized, lower egfr values, 12 [− 0, 2 , stage ii bc, placebo group relative, 2 kg, study group, − 0, %22">xlink ">, study drug, signal remained, secondary analysis, renal function

Relation: https://figshare.com/articles/journal_contribution/Supplemental_CONSORT_Diagram_/30140191

Dostupnost: https://doi.org/10.1371/journal.pone.0318017.s003
https://figshare.com/articles/journal_contribution/Supplemental_CONSORT_Diagram_/30140191

Supplemental Table 1. Comparison of baseline demographic and clinical characteristics of women with breast cancer in the parent study and current study.

Autoři: William W. Hundley Nathaniel S. O’Connell Danielle L. Kirkman a další

Témata: Cell Biology, Pharmacology, Biotechnology, Developmental Biology, Cancer, Science Policy, Infectious Diseases, Computational Biology, reported white race, magnetic resonance images, 40 &# 8201, ci ], 98213 , 34 ], 29 ], iii bc randomized, lower egfr values, 12 [− 0, 2 , stage ii bc, placebo group relative, 2 kg, study group, − 0, %22">xlink ">, study drug, signal remained, secondary analysis, renal function

Relation: https://figshare.com/articles/journal_contribution/Supplemental_Table_1_Comparison_of_baseline_demographic_and_clinical_characteristics_of_women_with_breast_cancer_in_the_parent_study_and_current_study_/30140185

Dostupnost: https://doi.org/10.1371/journal.pone.0318017.s001
https://figshare.com/articles/journal_contribution/Supplemental_Table_1_Comparison_of_baseline_demographic_and_clinical_characteristics_of_women_with_breast_cancer_in_the_parent_study_and_current_study_/30140185