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Showing results (161-170 of 196) with videos related to

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Scientific Reports|November 12, 2020
Utility of shape evolution and displacement in the classification of chronic multiple sclerosis lesionsDarin T Okuda, Tatum M Moog, Morgan McCreary, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 4, 2022
Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correctionSahil S Nalawade, Fang F Yu, Chandan Ganesh Bangalore Yogananda, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 10, 2023
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 correctionSahil S Nalawade, Fang F Yu, Chandan Ganesh Bangalore Yogananda, et al.
Journal of Neuro-Ophthalmology : the Official Journal of the North American Neuro-Ophthalmology Society|March 5, 2019
Utility of Magnetic Resonance Imaging Features for Improving the Diagnosis of Idiopathic Intracranial Hypertension Without PapilledemaRobert M Mallery, Obeidurahman F Rehmani, John H Woo, et al.
Neuro-Oncology|October 23, 2019
A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Maryam Vejdani-Jahromi, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
A Fully Automated Deep Learning Network for Brain Tumor SegmentationChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Maryam Vejdani-Jahromi, et al.
Magnetic Resonance in Medicine|October 23, 2021
Dynamic <sup>13</sup> C MR spectroscopy as an alternative to imaging for assessing cerebral metabolism using hyperpolarized pyruvate in humansJunjie Ma, Marco C Pinho, Crystal E Harrison, et al.
Scientific Data|April 22, 2026
The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and SegmentationsDivya D Reddy, Niloufar Saadat, James M Holcomb, et al.
Radiology. Artificial Intelligence|May 22, 2024
Two-Stage Training Framework Using Multicontrast MRI Radiomics for <i>IDH</i> Mutation Status Prediction in GliomaNghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 8, 2024
Synthesizing 3D Multi-Contrast Brain Tumor MRIs Using Tumor Mask ConditioningNghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
Pageof 20

Showing results (161-170 of 196) with videos related to

Sort By:
Pageof 20
Scientific Reports|November 12, 2020
Utility of shape evolution and displacement in the classification of chronic multiple sclerosis lesionsDarin T Okuda, Tatum M Moog, Morgan McCreary, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 4, 2022
Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correctionSahil S Nalawade, Fang F Yu, Chandan Ganesh Bangalore Yogananda, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 10, 2023
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 correctionSahil S Nalawade, Fang F Yu, Chandan Ganesh Bangalore Yogananda, et al.
Journal of Neuro-Ophthalmology : the Official Journal of the North American Neuro-Ophthalmology Society|March 5, 2019
Utility of Magnetic Resonance Imaging Features for Improving the Diagnosis of Idiopathic Intracranial Hypertension Without PapilledemaRobert M Mallery, Obeidurahman F Rehmani, John H Woo, et al.
Neuro-Oncology|October 23, 2019
A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Maryam Vejdani-Jahromi, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
A Fully Automated Deep Learning Network for Brain Tumor SegmentationChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Maryam Vejdani-Jahromi, et al.
Magnetic Resonance in Medicine|October 23, 2021
Dynamic <sup>13</sup> C MR spectroscopy as an alternative to imaging for assessing cerebral metabolism using hyperpolarized pyruvate in humansJunjie Ma, Marco C Pinho, Crystal E Harrison, et al.
Scientific Data|April 22, 2026
The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and SegmentationsDivya D Reddy, Niloufar Saadat, James M Holcomb, et al.
Radiology. Artificial Intelligence|May 22, 2024
Two-Stage Training Framework Using Multicontrast MRI Radiomics for <i>IDH</i> Mutation Status Prediction in GliomaNghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 8, 2024
Synthesizing 3D Multi-Contrast Brain Tumor MRIs Using Tumor Mask ConditioningNghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
Pageof 20