Assessing radiologists' and radiographers' perceptions on artificial intelligence integration: opportunities and challenges
B Al Mohammad, A Aldaradkeh… - British Journal of …, 2024 - academic.oup.com
Objectives The objective of this study was to evaluate radiologists' and radiographers'
opinions and perspectives on Artificial Intelligence (AI) and its integration into the radiology …
opinions and perspectives on Artificial Intelligence (AI) and its integration into the radiology …
Deep learning reconstruction in pediatric brain MRI: comparison of image quality with conventional T2-weighted MRI
Introduction Deep learning–based MRI reconstruction has recently been introduced to
improve image quality. This study aimed to evaluate the performance of deep learning …
improve image quality. This study aimed to evaluate the performance of deep learning …
Transformer's Role in Brain MRI: A Scoping Review
M Hayat, S Aramvith - IEEE Access, 2024 - ieeexplore.ieee.org
Magnetic Resonance Imaging (MRI) is a critical imaging technique that provides detailed
visualization of internal structures without harmful radiation. This review focuses on key MRI …
visualization of internal structures without harmful radiation. This review focuses on key MRI …
Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning
Objectives To establish a robust interpretable multiparametric deep learning (DL) model for
automatic noninvasive grading of meningiomas along with segmentation. Methods In total …
automatic noninvasive grading of meningiomas along with segmentation. Methods In total …
Sex as a prognostic factor in adult-type diffuse gliomas: an integrated clinical and molecular analysis according to the 2021 WHO classification
Purpose To investigate whether type-specific sex differences in survival exist independently
of clinical and molecular factors in adult-type diffuse gliomas according to the 2021 World …
of clinical and molecular factors in adult-type diffuse gliomas according to the 2021 World …
Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR …
Objectives To assess whether radiomic features could improve the accuracy of survival
predictions of IDH-wildtype (IDHwt) histological lower-grade gliomas (LGGs) over …
predictions of IDH-wildtype (IDHwt) histological lower-grade gliomas (LGGs) over …
Quality reporting of radiomics analysis in pituitary adenomas: promoting clinical translation
Objective: To evaluate the quality of radiomics studies on pituitary adenoma according to the
radiomics quality score (RQS) and Transparent Reporting of a multivariable prediction …
radiomics quality score (RQS) and Transparent Reporting of a multivariable prediction …
Detail-preserving image warping by enforcing smooth image sampling
Multi-phase dynamic contrast-enhanced magnetic resonance imaging image registration
makes a substantial contribution to medical image analysis. However, existing methods (eg …
makes a substantial contribution to medical image analysis. However, existing methods (eg …
White matter predictors of PTSD: Testing different machine learning models in a sample of Black American women
Background Machine learning neuroimaging studies of posttraumatic stress disorder (PTSD)
show promise for identifying neurobiological signatures of PTSD. However, studies to date …
show promise for identifying neurobiological signatures of PTSD. However, studies to date …
Creating diverse and inclusive scientific practices for research datasets and dissemination
Diversity, equity, and inclusivity (DEI) are important for scientific innovation and progress.
This widespread recognition has resulted in numerous initiatives for enhancing DEI in recent …
This widespread recognition has resulted in numerous initiatives for enhancing DEI in recent …