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  • Frontiers in Neuroimaging: 2022, vol: 1, issue:
  • 1)- Ayan Banerjee, Payal Kamboj, Sarah N Wyckoff, Bethany L Sussman, Sandeep K S Gupta, Varina L Boerwinkle. Automated seizure onset zone locator from resting-state functional MRI in drug-resistant epilepsy. Frontiers in neuroimaging. 2022, 1: 1007668
    Cited : 5
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  • 2)- Eléonore Dufresne, Denis Fortun, Stéphane Kremer, Vincent Noblet. A unified framework for focal intensity change detection and deformable image registration. Application to the monitoring of multiple sclerosis lesions in longitudinal 3D brain MRI. Frontiers in neuroimaging. 2022, 1: 1008128
    Cited : 2
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  • 3)- Simon Levinson, Michelle Miller, Ahmed Iftekhar, Monica Justo, Daniel Arriola, Wenxin Wei, Saman Hazany, Josue M Avecillas-Chasin, Taylor P Kuhn, Andreas Horn, Ausaf A Bari. A structural connectivity atlas of limbic brainstem nuclei. Frontiers in neuroimaging. 2022, 1: 1009399
    Cited : 7
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  • 4)- Suhang You, Mauricio Reyes. Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation. Frontiers in neuroimaging. 2022, 1: 1012639
    Cited : 4
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  • 5)- Vishwanatha M Rao, Zihan Wan, Soroush Arabshahi, David J Ma, Pin-Yu Lee, Ye Tian, Xuzhe Zhang, Andrew F Laine, Jia Guo. Improving across-dataset brain tissue segmentation for MRI imaging using transformer. Frontiers in neuroimaging. 2022, 1: 1023481
    Cited : 7
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  • 6)- Sandrine Bédard, Julien Cohen-Adad. Automatic measure and normalization of spinal cord cross-sectional area using the pontomedullary junction. Frontiers in neuroimaging. 2022, 1: 1031253
    Cited : 10
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  • 7)- Lei Cao, Stephen J Kohut, Blaise deB Frederick. 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. Frontiers in neuroimaging. 2022, 1: 1031991
    Cited : 0
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  • 8)- Manfredi Alberti, Federica Ginanneschi, Alessandro Rossi, Lucia Monti. Case report: A quantitative and qualitative diffusion tensor imaging (DTI) study in varicella zoster-related brachial plexopathy. Frontiers in neuroimaging. 2022, 1: 1034241
    Cited : 0
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  • 9)- Carina Gleißner, Stephan Kaczmarz, Jan Kufer, Lena Schmitzer, Michael Kallmayer, Claus Zimmer, Benedikt Wiestler, Christine Preibisch, Jens Göttler. Hemodynamic MRI parameters to predict asymptomatic unilateral carotid artery stenosis with random forest machine learning. Frontiers in neuroimaging. 2022, 1: 1056503
    Cited : 2
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  • 10)- Anita S Jwa, Jonathan S Goodman, Gary H Glover. Inconsistencies in mapping current distribution in transcranial direct current stimulation. Frontiers in neuroimaging. 2022, 1: 1069500
    Cited : 0
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  • 11)- Xin Di, Bharat B Biswal. A functional MRI pre-processing and quality control protocol based on statistical parametric mapping (SPM) and MATLAB. Frontiers in neuroimaging. 2022, 1: 1070151
    Cited : 13
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  • 12)- Céline Provins, Eilidh MacNicol, Saren H Seeley, Patric Hagmann, Oscar Esteban. Quality control in functional MRI studies with MRIQC and fMRIPrep. Frontiers in neuroimaging. 2022, 1: 1073734
    Cited : 7
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  • 13)- Ole Jonas Boeken, Sebastian Markett. Systems-level decoding reveals the cognitive and behavioral profile of the human intraparietal sulcus. Frontiers in neuroimaging. 2022, 1: 1074674
    Cited : 3
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  • 14)- Bethany P Lo, Miranda R Donnelly, Giuseppe Barisano, Sook-Lei Liew. A standardized protocol for manually segmenting stroke lesions on high-resolution T1-weighted MR images. Frontiers in neuroimaging. 2022, 1: 1098604
    Cited : 4
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  • 15)- Benjamin A Philip, Kenneth F Valyear, Carmen M Cirstea, Nathan A Baune, Christina Kaufman, Scott H Frey. Corrigendum: Changes in primary somatosensory cortex following allogeneic hand transplantation or autogenic hand replantation. Frontiers in neuroimaging. 2022, 1: 1127605
    Cited : 1
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  • 16)- Jeffrey Tanedo, Niharika Gajawelli, Sharon Guo, Mary Baron Nelson, Natasha Lepore. White matter tract changes in pediatric posterior fossa brain tumor survivors after surgery and chemotherapy. Frontiers in neuroimaging. 2022, 1: 845609
    Cited : 0
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  • 17)- Caterina Rosano. A training program for researchers in population neuroimaging: Early experiences. Frontiers in neuroimaging. 2022, 1: 896350
    Cited : 1
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  • 18)- Renlong Zhang, Ting Zhou, Soham Samanta, Ziyi Luo, Shaowei Li, Hao Xu, Junle Qu. Synergistic photobiomodulation with 808-nm and 1064-nm lasers to reduce the β-amyloid neurotoxicity in the Alzheimer's disease models. Frontiers in neuroimaging. 2022, 1: 903531
    Cited : 6
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  • 19)- Guillaume Theaud, Manon Edde, Matthieu Dumont, Clément Zotti, Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche, Pierre-Marc Jodoin, Maxime Descoteaux. DORIS: A diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography. Frontiers in neuroimaging. 2022, 1: 917806
    Cited : 6
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  • 20)- Eline H Groenland, Monique E A M van Kleef, Jeroen Hendrikse, Wilko Spiering, Jeroen C W Siero. The effect of endovascular baroreflex amplification on central sympathetic nerve circuits and cerebral blood flow in patients with resistant hypertension: A functional MRI study. Frontiers in neuroimaging. 2022, 1: 924724
    Cited : 1
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  • 21)- Ruaridh A Clark, Keith Smith, Javier Escudero, Agustín Ibáñez, Mario A Parra. Robust Assessment of EEG Connectivity Patterns in Mild Cognitive Impairment and Alzheimer's Disease. Frontiers in neuroimaging. 2022, 1: 924811
    Cited : 0
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  • 22)- Benoit Anctil-Robitaille, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Hervé Lombaert. Manifold-aware synthesis of high-resolution diffusion from structural imaging. Frontiers in neuroimaging. 2022, 1: 930496
    Cited : 1
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  • 23)- Mahsa Dadar, Maryna Zhernovaia, Sawsan Mahmoud, Richard Camicioli, Josefina Maranzano, Simon Duchesne. Using transfer learning for automated microbleed segmentation. Frontiers in neuroimaging. 2022, 1: 940849
    Cited : 2
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  • 24)- Madhura Baxi, Suheyla Cetin-Karayumak, George Papadimitriou, Nikos Makris, Andre van der Kouwe, Bruce Jenkins, Tara L Moore, Douglas L Rosene, Marek Kubicki, Yogesh Rathi. Investigating the contribution of cytoarchitecture to diffusion MRI measures in gray matter using histology. Frontiers in neuroimaging. 2022, 1: 947526
    Cited : 1
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  • 25)- Reda Abdellah Kamraoui, Boris Mansencal, José V Manjon, Pierrick Coupé. Longitudinal detection of new MS lesions using deep learning. Frontiers in neuroimaging. 2022, 1: 948235
    Cited : 4
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  • 26)- Xueqi Guo, Sule Tinaz, Nicha C Dvornek. Characterization of Early Stage Parkinson's Disease From Resting-State fMRI Data Using a Long Short-Term Memory Network. Frontiers in neuroimaging. 2022, 1: 952084
    Cited : 10
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  • 27)- Yibei Chen, Frederic R Hopp, Musa Malik, Paula T Wang, Kylie Woodman, Sungbin Youk, René Weber. Reproducing FSL's fMRI data analysis Nipype: Relevance, challenges, and solutions. Frontiers in neuroimaging. 2022, 1: 953215
    Cited : 0
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  • 28)- Maryam Afzali, Tomasz Pieciak, Derek K Jones, Jürgen E Schneider, Evren Özarslan. Cumulant expansion with localization: A new representation of the diffusion MRI signal. Frontiers in neuroimaging. 2022, 1: 958680
    Cited : 4
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  • 29)- Donglin Wang, Qiang Wu, Don Hong. Extracting default mode network based on graph neural network for resting state fMRI study. Frontiers in neuroimaging. 2022, 1: 963125
    Cited : 3
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  • 30)- Craig Weiss, Nicola Bertolino, Daniele Procissi, John F Disterhoft. Brain activity studied with magnetic resonance imaging in awake rabbits. Frontiers in neuroimaging. 2022, 1: 965529
    Cited : 1
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  • 31)- Aleksij Kraljič, Andraž Matkovič, Nina Purg, Jure Demšar, Grega Repovš. Evaluation and comparison of most prevalent artifact reduction methods for EEG acquired simultaneously with fMRI. Frontiers in neuroimaging. 2022, 1: 968363
    Cited : 2
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  • 32)- Md Nasir Uddin, Teresa D Figley, Jennifer Kornelsen, Erin L Mazerolle, Carl A Helmick, Christopher B O'Grady, Salina Pirzada, Ronak Patel, Sean Carter, Kaihim Wong, Marco R Essig, Lesley A Graff, James M Bolton, James J Marriott, Charles N Bernstein, John D Fisk, Ruth Ann Marrie, Chase R Figley. The comorbidity and cognition in multiple sclerosis (CCOMS) neuroimaging protocol: Study rationale, MRI acquisition, and minimal image processing pipelines. Frontiers in neuroimaging. 2022, 1: 970385
    Cited : 5
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  • 33)- Corey H Allen, J Michael Maurer, Bethany G Edwards, Aparna R Gullapalli, Carla L Harenski, Keith A Harenski, Vince D Calhoun, Kent A Kiehl. Aberrant resting-state functional connectivity in incarcerated women with elevated psychopathic traits. Frontiers in neuroimaging. 2022, 1: 971201
    Cited : 1
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  • 34)- Ana F Palenciano, Mehdi Senoussi, Silvia Formica, Carlos González-García. Canonical template tracking: Measuring the activation state of specific neural representations. Frontiers in neuroimaging. 2022, 1: 974927
    Cited : 8
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  • 35)- Luca Canalini, Jan Klein, Diana Waldmannstetter, Florian Kofler, Stefano Cerri, Alessa Hering, Stefan Heldmann, Sarah Schlaeger, Bjoern H Menze, Benedikt Wiestler, Jan Kirschke, Horst K Hahn. Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment. Frontiers in neuroimaging. 2022, 1: 977491
    Cited : 1
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  • 36)- Lev Kiar Avberšek, Grega Repovš. Deep learning in neuroimaging data analysis: Applications, challenges, and solutions. Frontiers in neuroimaging. 2022, 1: 981642
    Cited : 9
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  • 37)- Matthew F Singh, Michael W Cole, Todd S Braver, ShiNung Ching. Control-theoretic integration of stimulation and electrophysiology for cognitive enhancement. Frontiers in neuroimaging. 2022, 1: 982288
    Cited : 0
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  • 38)- Nina Purg, Jure Demšar, Alan Anticevic, Grega Repovš. autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data. Frontiers in neuroimaging. 2022, 1: 983324
    Cited : 0
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  • 39)- Yaron Caspi, Sonja M C de Zwarte, Iris J Iemenschot, Raquel Lumbreras, Roel de Heus, Mireille N Bekker, Hilleke Hulshoff Pol. Automatic measurements of fetal intracranial volume from 3D ultrasound scans. Frontiers in neuroimaging. 2022, 1: 996702
    Cited : 1
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