Tag Archives: Machine Learning

Multi-class classification of Alzheimer’s disease detection from 3D MRI image using ML techniques and its performance analysis

Rashni Biswas et al. Multi-class classification of Alzheimer’s disease detection from 3D MRI image using ML techniques and its performance analysis Multimedia Tools and Applications. Publication Date September 23, 2023 How Analyze was Used “In our proposed system, two platforms namely Analyze Direct and ITK Snap are used for extracting the volumetric features… We used…

NS-HGlio: A Generalizable and Repeatable HGG Segmentation and Volumetric measurement AI Algorithm for the Longitudinal MRI Assessment to Inform RANO in Trials and Clinics

Aly H Abayazeed et al. NS-HGlio: A Generalizable and Repeatable HGG Segmentation and Volumetric measurement AI Algorithm for the Longitudinal MRI Assessment to Inform RANO in Trials and Clinics Journal of Neuro-Oncology Advances. Publication Date December 21, 2022 How Analyze was Used “For the training and internal validation datasets, six neuroradiologists each with > 6…

Quantification of hematoma and perihematomal edema volumes in intracerebral hemorrhage study: Design considerations in an artificial intelligence validation (QUANTUM) study

Natasha Ironside et al. Quantification of hematoma and perihematomal edema volumes in intracerebral hemorrhage study: Design considerations in an artificial intelligence validation (QUANTUM) study Clinical Trials. Publication Date July 2, 2022 How Analyze was Used “Hematoma and perihematomal edema volumes of supratentorial intracerebral hemorrhage on 252 computed tomography scans will be prospectively quantified in random…

Imaging-based outcome prediction in posterior circulation stroke

Helge C. Kniep et al. Imaging-based outcome prediction in posterior circulation stroke Journal of Neurology. Publication Date March 7, 2022 How Analyze was Used “Standardized pc-ASPECTS area maps (thalamus left/right (l/r), pons, midbrain, territory of the posterior cerebral artery (PCA) l/r, cerebellum l/r) were derived as follows: First, an experienced Neuroradiologist (UH) performed manual segmentations…

Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage

Jawed Nawabi et al. Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage Translational Stroke Research. Publication Date February 6, 2021 How Analyze was Used “ICH locations were classified as basal ganglia, thalamus, lobe, brain stem, pons, and cerebellum. In the following ICH, volumes were segmented semi-automatically on the basis of the original NECT images. Regions of…

Uric Acid and Gluconic Acid as Predictors of Hyperglycemia and Cytotoxic Injury after Stroke

Zsuzsanna Ament et al. Uric Acid and Gluconic Acid as Predictors of Hyperglycemia and Cytotoxic Injury after Stroke Translational Stroke Research. Publication Date October 17, 2020 How Analyze was Used “ADC analysis was conducted using a semi-automated method in Analyze 11.0, as previously reported.” Keywords Machine learning, Metabolomics, Stroke, Hyperglycemia, Neuroimaging Author Affiliation(s) Massachusetts General…

Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle

Zhao-Yang Wang et al. Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle. Arxiv. Publication Date September 16, 2019 How Analyze was Used “In order to obtain the 3D meshes of the RV for training, ten 2D MRI images were scanned from the atrioventricular ring to the apex with 10mm slice gap. Analyze…

Measurement of murine kidney functional biomarkers using DCE-MRI: A multi-slice TRICKS technique and semi-automated image processing algorithm

Kai Jiang et al. Measurement of murine kidney functional biomarkers using DCE-MRI: A multi-slice TRICKS technique and semi-automated image processing algorithm. Magnetic Resonance Imaging. Publication Date August 20, 2019 How Analyze was Used “Image analysis. Reference kidney volume was measured from the 3D-FISP images using Analyze version 12.0. Renal volume was measured by manual segmentation.”…

Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type

Helge C. Kniep et al. Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type. Radiology. Publication Date December 11 2018 How Analyze was Used “Regions of interest (ROIs) were defined according to the visible gross tumor volume by using Analyze 11.0 Software” Keywords Radiomics, Brain MRI, Metastatic Tumor Type, Machine learning Author Affiliation(s)…

Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI

Tali Bitan1, Alex Frid1, Hananel Hazan2, Larry M. Manevitz1, Haim Shalelashvili1, Yael Weiss3. Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI International Joint Conference on Neural Networks. November 2016. Publication Date November 2016 How Analyze was Used “The scans were created in an Analyze format (Analyze, https://www.analyzedirect.com/) and preprocessed” Keywords…