Imaging Decisions MRI

Imaging Decisions MRI

Xehetasun bibliografikoak
Formatua:	Baliabide elektronikoa Aldizkaria
Hizkuntza:	English
Argitaratua:	Wiley-Blackwell
Sarrera elektronikoa:	Full text available on EBSCOhost[Apr 2003-Sep 2009] Off-campus access

Antzeko izenburuak

Imaging Decisions MRI

MRI in Epilepsy
Argitaratua: (2013)

fMRI
Argitaratua: (2013)

Preclinical MRI of the Kidney
Argitaratua: (2021)

Paul Lauterbur and the Invention of MRI
nork: Dawson

Seminars in Ultrasound, CT, and MRI

Seminars in Ultrasound, CT, and MRI

Autism detection based on MRI images using Deep Learning
nork: Mostafa, Sadab, et al.
Argitaratua: (2023)

An interpretable deep learning approach to detect Alzheimer using MRI images
nork: Oni, Farhan Anzum, et al.
Argitaratua: (2023)

An efficient ML approach to detect brain tumor using MRI images
nork: Muktadir, MD. Arafat, et al.
Argitaratua: (2024)

Brain tumor segmentation from MRI images using convolutional neural networks
nork: Khan, Mushfiqur Rahman
Argitaratua: (2024)

An Efficient deep learning approach to detect Brain Tumor using MRI images
nork: Islam, Annur Tasnim, et al.
Argitaratua: (2022)

Detecting brain tumor using deep neural networks from MRI images
nork: Imamuzzaman, A.S.M., et al.
Argitaratua: (2021)

Brain image fMRI data classification and graphical representation of visual object
nork: Tasneem, Nazifa Afroza, et al.
Argitaratua: (2019)

Cardiovascular MRI Scanning Industry Profile: Germany

Cardiovascular MRI Scanning Industry Profile: France

Cardiovascular MRI Scanning Industry Profile: Italy

Cardiovascular MRI Scanning Industry Profile: Spain

Application of deep learning in MRI classification of Schizophrenia
nork: Joyee, Ramisa Fariha, et al.
Argitaratua: (2024)

Cardiovascular MRI Scanning Industry Profile: United States

Current Research in MRI | Turkish Society of Magnetic Resonance

Current Research in MRI | Turkish Society of Magnetic Resonance

Visual object classification from fMRI data
nork: Newaz, Syed Mishar, et al.
Argitaratua: (2022)

Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
nork: Farha, Ramisa, et al.
Argitaratua: (2022)

Improvisation of Magnetic Resonance Imaging (MRI) with development and feasible evaluation of fiber optic sensors: a survey
nork: Shabnam, Farzana, et al.
Argitaratua: (2018)

Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
nork: Rahman, Fardin, et al.
Argitaratua: (2024)

In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
nork: Haque, Hossain MD. Hasibul, et al.
Argitaratua: (2024)

Comparison of different CNN architectures for brain tumor detection using fMRI
nork: Mashiat, Afsara, et al.
Argitaratua: (2021)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
nork: Shahriar, Farhan, et al.
Argitaratua: (2021)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
nork: Mahbub, Riasat, et al.
Argitaratua: (2022)

Decision Forests for Computer Vision and Medical Image Analysis
Argitaratua: (2013)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
nork: Neehal, Ahmed Hasin, et al.
Argitaratua: (2020)

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
nork: Farzana, Maisha, et al.
Argitaratua: (2021)

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
nork: Tanvir, Farhan, et al.
Argitaratua: (2024)

Decision Analysis

Decision Sciences

Epistemology of Decision
nork: Graziano
Argitaratua: (2013)