SliceMap: a binary classification-driven 2D pipeline for detecting discriminative candidate regions in brain MRI

in Neuroimaging Analysis and Protocols

• Xiaoye Jiang
• Zhijin Wu
• Zhaohui S. Qin

Investigating white matter functional network connectivity across the Alzheimer’s disease spectrum using resting-state fMRI

in Neuroimaging Analysis and Protocols

• Vaibhavi S. Itkyal
• Theodore J. LaGrow
• Kyle M. Jensen
• Armin Iraji
• Vince D. Calhoun

Retraction: Initial insights into post-contrast enhancement in ultra-low-field MRI: Case Report

in Neuroimaging Analysis and Protocols

M-ECG: extracting heart signals with a novel computational analysis of magnetoencephalography data

in Neuroimaging Analysis and Protocols

• Aqil Izadysadr
• Hamideh Sadat Bagherzadeh
• Jennifer R. Stapleton-Kotloski
• Gautam S. Popli
• Cormac A. O'Donovan
• Dwayne W. Godwin

Understanding false positives in control conditions: a simulation study of post-hoc testing in low-powered neuroimaging trials

in Neuroimaging Analysis and Protocols

• Ji Hyun Ko

Editorial: Spatiotemporal & AI trends in neuroscience, neuroimaging, and neurooncology

in Neuroimaging Analysis and Protocols

• Alessandro Crimi
• Spyridon Bakas

Efficient Fourier base fitting on masked or incomplete structured data

in Neuroimaging Analysis and Protocols

• Fariba Karimi
• Esra Neufeld
• Arya Fallahi
• Vartan Kurtcuoglu
• Niels Kuster

AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRI

in Neuroimaging Analysis and Protocols

• Kh Tohidul Islam
• Shenjun Zhong
• Parisa Zakavi
• Helen Kavnoudias
• Shawna Farquharson
• Gail Durbridge
• Markus Barth
• Andrew Dwyer
• Katie L. McMahon
• Paul M. Parizel

Denoising very low-field magnetic resonance images using native noise modeling

in Neuroimaging Analysis and Protocols

• Tonny Ssentamu
• Alvin Kimbowa
• Ronald Omoding
• Edgar Atamba
• Pius K. Mukwaya
• George W. Jjuuko
• Sairam Geethanath

A deep neural network for adaptive spatial smoothing of task fMRI data

in Neuroimaging Analysis and Protocols

• Zhengshi Yang
• Xiaowei Zhuang
• Mark J. Lowe
• Dietmar Cordes

RETRACTED: Initial insights into post-contrast enhancement in ultra-low-field MRI: Case Report

in Neuroimaging Analysis and Protocols

• Ahmed Altaf
• Muhammad Sami Alam
• Sibgha Khan
• Ali Azan
• Fatima Mubarak
• Edmond Knopp
• Khan Siddiqui
• Syed Ather Enam

Learning to build low-field MRIs for remote northern communities

in Neuroimaging Analysis and Protocols

• Gordon E. Sarty
• Logi Vidarsson
• Christopher Hansen
• Keifer Corrigal
• Lionel Sutherland
• Millie Jamieson
• Micheal Hogue
• Haile Kassahun
• William Greyeyes
• David Teixeira

Iron load in the normal aging brain measured with QSM and R2* at 7T: findings of the SENIOR cohort

in Neuroimaging Analysis and Protocols

• Miguel Guevara
• Stéphane Roche
• Vincent Brochard
• Davy Cam
• Jacques Badagbon
• Yann Leprince
• Michel Bottlaender
• Yann Cointepas
• Jean-François Mangin
• Ludovic de Rochefort

Characterizing the binding of TC-5619 and encenicline on the alpha7 nicotinic acetylcholine receptor using PET imaging in the pig

in Neuroimaging Analysis and Protocols

• Janus H. Magnussen
• Anders Ettrup
• Szabolcs Lehel
• Dan Peters
• Agnete Dyssegaard
• Morten S. Thomsen
• Jens D. Mikkelsen
• Gitte M. Knudsen

Regression models for partially localized fMRI connectivity analyses

in Neuroimaging Analysis and Protocols

• Bonnie B. Smith
• Yi Zhao
• Martin A. Lindquist
• Brian Caffo

Editorial: Autonomous magnetic resonance imaging

in Neuroimaging Analysis and Protocols

• Sairam Geethanath
• Rita G. Nunes
• Jon-Fredrik Nielsen

Label-efficient deep semantic segmentation of intracranial hemorrhages in CT-scans

in Neuroimaging Analysis and Protocols

• Antoine Spahr
• Jennifer Ståhle
• Chunliang Wang
• Magnus Kaijser

AI-driven and automated MRI sequence optimization in scanner-independent MRI sequences formulated by a domain-specific language

in Neuroimaging Analysis and Protocols

• Daniel Christopher Hoinkiss
• Jörn Huber
• Christina Plump
• Christoph Lüth
• Rolf Drechsler
• Matthias Günther

Editorial: Deep learning in neuroimaging-based neurological disease analysis

in Neuroimaging Analysis and Protocols

• Xiaoxiao Li
• Yu Zhang
• Qingyu Zhao

Estimating and mitigating the effects of systemic low frequency oscillations (sLFO) on resting state networks in awake non-human primates using time lag dependent methodology

in Neuroimaging Analysis and Protocols

• Lei Cao
• Stephen J. Kohut
• Blaise deB. Frederick

Hemodynamic MRI parameters to predict asymptomatic unilateral carotid artery stenosis with random forest machine learning

in Neuroimaging Analysis and Protocols

• Carina Gleißner
• Stephan Kaczmarz
• Jan Kufer
• Lena Schmitzer
• Michael Kallmayer
• Claus Zimmer
• Benedikt Wiestler
• Christine Preibisch
• Jens Göttler

Improving across-dataset brain tissue segmentation for MRI imaging using transformer

in Neuroimaging Analysis and Protocols

• Vishwanatha M. Rao
• Zihan Wan
• Soroush Arabshahi
• David J. Ma
• Pin-Yu Lee
• Ye Tian
• Xuzhe Zhang
• Andrew F. Laine
• Jia Guo

Automatic measure and normalization of spinal cord cross-sectional area using the pontomedullary junction

in Neuroimaging Analysis and Protocols

• Sandrine Bédard
• Julien Cohen-Adad

Using transfer learning for automated microbleed segmentation

in Neuroimaging Analysis and Protocols

• Mahsa Dadar
• Maryna Zhernovaia
• Sawsan Mahmoud
• Richard Camicioli
• Josefina Maranzano
• Simon Duchesne