User profiles for R.T. Shinohara

Russell Shinohara

Professor at the University of Pennsylvania
Verified email at pennmedicine.upenn.edu
Cited by 19613

[HTML][HTML] The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple …

…, APR Samaraweera, RT Shinohara… - Nature Reviews …, 2016 - nature.com
Over the past few years, MRI has become an indispensable tool for diagnosing multiple
sclerosis (MS). However, the current MRI criteria for MS diagnosis have imperfect sensitivity and …

[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization

…, M Li, H Shou, TD Satterthwaite, M Yu, RT Shinohara - NeuroImage, 2023 - Elsevier
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …

Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

…, S Bauer, M Rempfler, A Crimi, RT Shinohara… - arXiv preprint arXiv …, 2018 - arxiv.org
Gliomas are the most common primary brain malignancies, with different degrees of
aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, ie, …

Harmonization of multi-site diffusion tensor imaging data

…, RC Gur, RE Gur, RT Schultz, R Verma, RT Shinohara - Neuroimage, 2017 - Elsevier
Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI)
technique used for studying microstructural changes in the white matter. As with many other …

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

…, A Schroeder, N Ma, DJ Irwin, EB Lee, RT Shinohara… - Nature …, 2021 - nature.com
Recent advances in spatially resolved transcriptomics (SRT) technologies have enabled
comprehensive characterization of gene expression patterns in the context of tissue …

The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification

…, JD Rudie, C Sako, RT Shinohara… - arXiv preprint arXiv …, 2021 - arxiv.org
The BraTS 2021 challenge celebrates its 10th anniversary and is jointly organized by the
Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR…

Harmonization of cortical thickness measurements across scanners and sites

…, ML Phillips, MH Trivedi, MM Weissman, RT Shinohara - Neuroimage, 2018 - Elsevier
With the proliferation of multi-site neuroimaging studies, there is a greater need for handling
non-biological variance introduced by differences in MRI scanners and acquisition protocols…

[HTML][HTML] Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

…, DR Roalf, GL Baum, K Ruparel, RT Shinohara… - Neuroimage, 2017 - Elsevier
Since initial reports regarding the impact of motion artifact on measures of functional connectivity,
there has been a proliferation of participant-level confound regression methods to limit …

The extent and drivers of gender imbalance in neuroscience reference lists

…, KA Linn, EG Teich, P Zurn, RT Shinohara… - Nature …, 2020 - nature.com
Similarly to many scientific disciplines, neuroscience has increasingly attempted to confront
pervasive gender imbalances. Although publishing and conference participation are often …

The cancer imaging phenomics toolkit (CaPTk): technical overview

…, A Sotiras, SP Thakur, R Verma, RT Shinohara… - … Sclerosis, Stroke and …, 2020 - Springer
The purpose of this manuscript is to provide an overview of the technical specifications and
architecture of the Cancer imaging Phenomics Toolkit (CaPTk www.cbica.upenn.edu/captk ), …