Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2017 - Elsevier
Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued
development and standardization of methodologies for biomarkers and has provided an …
development and standardization of methodologies for biomarkers and has provided an …
Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
Deep learning reveals Alzheimer's disease onset in MCI subjects: results from an international challenge
Abstract Background Early diagnosis of Alzheimer's disease (AD) and its onset in subjects
affected by mild cognitive impairment (MCI) based on structural MRI features is one of the …
affected by mild cognitive impairment (MCI) based on structural MRI features is one of the …
Exploring finger vein based personal authentication for secure IoT
Personal authentication is getting harder and harder in the internet of things (IoT). Existing
methods used for personal authentication, such as passwords and the two-factor …
methods used for personal authentication, such as passwords and the two-factor …
A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients
In breast cancer patients, an accurate detection of the axillary lymph node metastasis status
is essential for reducing distant metastasis occurrence probabilities. In case of patients …
is essential for reducing distant metastasis occurrence probabilities. In case of patients …
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence
Introduction Recently, accurate machine learning and deep learning approaches have been
dedicated to the investigation of breast cancer invasive disease events (IDEs), such as …
dedicated to the investigation of breast cancer invasive disease events (IDEs), such as …
DTI measurements for Alzheimer's classification
T Maggipinto, R Bellotti, N Amoroso… - Physics in Medicine …, 2017 - iopscience.iop.org
Diffusion tensor imaging (DTI) is a promising imaging technique that provides insight into
white matter microstructure integrity and it has greatly helped identifying white matter …
white matter microstructure integrity and it has greatly helped identifying white matter …
An explainability artificial intelligence approach to brain connectivity in Alzheimer's disease
The advent of eXplainable Artificial Intelligence (XAI) has revolutionized the way human
experts, especially from non-computational domains, approach artificial intelligence; this is …
experts, especially from non-computational domains, approach artificial intelligence; this is …
Robustness evaluation of a deep learning model on sagittal and axial breast DCE-MRIs to predict pathological complete response to neoadjuvant chemotherapy
To date, some artificial intelligence (AI) methods have exploited Dynamic Contrast-
Enhanced Magnetic Resonance Imaging (DCE-MRI) to identify finer tumor properties as …
Enhanced Magnetic Resonance Imaging (DCE-MRI) to identify finer tumor properties as …