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Chandan Ganesh Bangalore Yogananda

Showing results (1-10 of 17) with videos related to

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Biomedical Optics Express|January 24, 2018
Concurrent measurement of skeletal muscle blood flow during exercise with diffuse correlation spectroscopy and Doppler ultrasoundChandan-Ganesh Bangalore-Yogananda, Ryan Rosenberry, Sagar Soni, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 23, 2024
GAN-Based Motion Artifact Correction of 3D MR Volumes Using an Image-to-Image Translation AlgorithmVishnu Vardhan Reddy Kanamata Reddy, Chandan Ganesh Bangalore Yogananda, Nghi C D Truong, et al.
Neuro-Oncology Advances|January 12, 2023
Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
Neuro-Oncology Advances|July 25, 2020
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, 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 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.
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.
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.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Biomedical Optics Express|January 24, 2018
Concurrent measurement of skeletal muscle blood flow during exercise with diffuse correlation spectroscopy and Doppler ultrasoundChandan-Ganesh Bangalore-Yogananda, Ryan Rosenberry, Sagar Soni, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 23, 2024
GAN-Based Motion Artifact Correction of 3D MR Volumes Using an Image-to-Image Translation AlgorithmVishnu Vardhan Reddy Kanamata Reddy, Chandan Ganesh Bangalore Yogananda, Nghi C D Truong, et al.
Neuro-Oncology Advances|January 12, 2023
Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
Neuro-Oncology Advances|July 25, 2020
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, 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 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.
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.
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.
Pageof 2