Arman Eshaghi

According to our database, Arman Eshaghi authored at least 12 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.

Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Lemuel Puglisi, Geoffrey J. M. Parker, Arman Eshaghi

Medical Image Anal., January, 2024

2023

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.

Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias

CoRR, 2023

DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification.

Lemuel Puglisi, Arman Eshaghi, Geoff J. M. Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravì

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.

Daniele Ravì, Frederik Barkhof, Daniel C. Alexander, Geoffrey J. M. Parker, Arman Eshaghi

CoRR, 2022

2021

pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm.

Leon M. Aksman, Peter A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann, Daniel C. Alexander, Alexandra L. Young

SoftwareX, 2021

Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data.

Alexandra L. Young, Jacob W. Vogel, Leon M. Aksman, Peter A. Wijeratne, Arman Eshaghi, Neil P. Oxtoby, Steven C. R. Williams, Daniel C. Alexander

Frontiers Artif. Intell., 2021

2019

DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.

Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander

NeuroImage, 2019

Disease Knowledge Transfer across Neurodegenerative Diseases.

Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander

CoRR, 2019

Disease Knowledge Transfer Across Neurodegenerative Diseases.

Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes.

Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

2017

A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.

Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander

Proceedings of the Information Processing in Medical Imaging, 2017

2014

Temporal and spatial evolution of grey matter atrophy in primary progressive multiple sclerosis.

Arman Eshaghi, Benedetta Bodini, Gerard R. Ridgway, Daniel García-Lorenzo, Daniel J. Tozer, Mohammad Ali Sahraian, Alan J. Thompson, Olga Ciccarelli

NeuroImage, 2014