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» Authors » Gowtham K Murugesan

Gowtham K Murugesan

Explore the profile of Gowtham K Murugesan including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 7
Citations 121
Followers 0
Related Specialties
Radiology
Oncology
Neurology
Top 10 Co-Authors
Joseph A Maldjian
Marco C Pinho
Ananth J Madhuranthakam
Baowei Fei
Chandan Ganesh Bangalore Yogananda
Sahil S Nalawade
Bruce Mickey
Benjamin C Wagner
Bhavya R Shah
Toral R Patel
Published In
J Med Imaging (Bellingham)
Neurooncol Adv
Neuro Oncol
Tomography
Affiliations
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Recent Articles
1.
Errata: Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction
Nalawade S, Yu F, Bangalore Yogananda C, Murugesan G, Shah B, Pinho M, et al.
J Med Imaging (Bellingham) . 2023 Feb; 10(1):019801. PMID: 36761698
[This corrects the article DOI: 10.1117/1.JMI.9.1.016001.].
2.
Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas
Bangalore Yogananda C, Shah B, Yu F, Pinho M, Nalawade S, Murugesan G, et al.
Neurooncol Adv . 2023 Jan; 5(1):vdac187. PMID: 36632567
[This corrects the article DOI: 10.1093/noajnl/vdaa066.].
3.
Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction
Nalawade S, Yu F, Bangalore Yogananda C, Murugesan G, Shah B, Pinho M, et al.
J Med Imaging (Bellingham) . 2022 Feb; 9(1):016001. PMID: 35118164
: Deep learning has shown promise for predicting the molecular profiles of gliomas using MR images. Prior to clinical implementation, ensuring robustness to real-world problems, such as patient motion, is...
4.
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas
Bangalore Yogananda C, Shah B, Yu F, Pinho M, Nalawade S, Murugesan G, et al.
Neurooncol Adv . 2020 Jul; 2(1):vdaa066. PMID: 32705083
Background: One of the most important recent discoveries in brain glioma biology has been the identification of the isocitrate dehydrogenase (IDH) mutation and 1p/19q co-deletion status as markers for therapy...
5.
A Fully Automated Deep Learning Network for Brain Tumor Segmentation
Bangalore Yogananda C, Shah B, Vejdani-Jahromi M, Nalawade S, Murugesan G, Yu F, et al.
Tomography . 2020 Jun; 6(2):186-193. PMID: 32548295
We developed a fully automated method for brain tumor segmentation using deep learning; 285 brain tumor cases with multiparametric magnetic resonance images from the BraTS2018 data set were used. We...
6.
Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning
Nalawade S, Murugesan G, Vejdani-Jahromi M, Fisicaro R, Bangalore Yogananda C, Wagner B, et al.
J Med Imaging (Bellingham) . 2019 Dec; 6(4):046003. PMID: 31824982
Isocitrate dehydrogenase (IDH) mutation status is an important marker in glioma diagnosis and therapy. We propose an automated pipeline for noninvasively predicting IDH status using deep learning and T2-weighted (T2w)...
7.
A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas
Bangalore Yogananda C, Shah B, Vejdani-Jahromi M, Nalawade S, Murugesan G, Yu F, et al.
Neuro Oncol . 2019 Oct; 22(3):402-411. PMID: 31637430
Background: Isocitrate dehydrogenase (IDH) mutation status has emerged as an important prognostic marker in gliomas. Currently, reliable IDH mutation determination requires invasive surgical procedures. The purpose of this study was...