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Scientific Data
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April 22, 2026
The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and Segmentations
Divya 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 Glioma
Nghi 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 Conditioning
Nghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
Bioengineering (Basel, Switzerland)
|
September 28, 2023
MRI-Based Deep Learning Method for Classification of IDH Mutation Status
Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, Nghi C D Truong, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
October 24, 2025
Mitigating Data Scarcity in the Classification of Glioma Molecular Subtypes: The Power of Generative Imaging
Nghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
Nature Communications
|
October 23, 2025
Categorical and phenotypic image synthetic learning as an alternative to federated learning
Nghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
AJNR. American Journal of Neuroradiology
|
May 7, 2026
Enhancing 1p/19q Classification in Brain Gliomas Using IDH Status: A Deep Learning Study
Jason E Bowerman, Ashwath S Kapilavai, Benjamin C Wagner, et al.
Neuro-Oncology Advances
|
August 22, 2025
Bridging the clinical gap: Confidence informed IDH prediction in brain gliomas using MRI and deep learning
Chandan Ganesh Bangalore Yogananda, Nghi C D Truong, Benjamin C Wagner, et al.
The Journal of Machine Learning for Biomedical Imaging
|
March 31, 2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid, et al.
Nature Communications
|
December 5, 2022
Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
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Search research articles
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Showing results (11-20 of 21) with videos related to
Sort By:
Page
of 3
Scientific Data
|
April 22, 2026
The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and Segmentations
Divya 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 Glioma
Nghi 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 Conditioning
Nghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
Bioengineering (Basel, Switzerland)
|
September 28, 2023
MRI-Based Deep Learning Method for Classification of IDH Mutation Status
Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, Nghi C D Truong, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
October 24, 2025
Mitigating Data Scarcity in the Classification of Glioma Molecular Subtypes: The Power of Generative Imaging
Nghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
Nature Communications
|
October 23, 2025
Categorical and phenotypic image synthetic learning as an alternative to federated learning
Nghi C D Truong, Chandan Ganesh Bangalore Yogananda, Benjamin C Wagner, et al.
AJNR. American Journal of Neuroradiology
|
May 7, 2026
Enhancing 1p/19q Classification in Brain Gliomas Using IDH Status: A Deep Learning Study
Jason E Bowerman, Ashwath S Kapilavai, Benjamin C Wagner, et al.
Neuro-Oncology Advances
|
August 22, 2025
Bridging the clinical gap: Confidence informed IDH prediction in brain gliomas using MRI and deep learning
Chandan Ganesh Bangalore Yogananda, Nghi C D Truong, Benjamin C Wagner, et al.
The Journal of Machine Learning for Biomedical Imaging
|
March 31, 2023
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid, et al.
Nature Communications
|
December 5, 2022
Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
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of 3