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Author

Divya Dhandapani Reddy

Observed names: D.D. Reddy, Divya D Reddy, Divya D. Reddy, Divya Reddy, Divya Reddy, JD, Reddy, Divya, Reddy, Divya D.
ORCID: 0000-0001-5899-0981
Observed ORCID: 0000-0001-5899-0981
OpenAlex ID: A5035972477
Federated learning enables big data for rare cancer boundary detection
2022 · Sarthak Pati, Ujjwal Baid, et al. · Nature Communications · 390
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Up-regulation of cerebral cytochrome-c-oxidase and hemodynamics by transcranial infrared laser stimulation: A broadband near-infrared spectroscopy study
2017 · Xinlong Wang, Fenghua Tian, et al. · Journal of Cerebral Blood Flow & Metabolism · 207
Impact of heat on metabolic and hemodynamic changes in transcranial infrared laser stimulation measured by broadband near-infrared spectroscopy
2017 · Xinlong Wang, Divya D. Reddy, et al. · Neurophotonics · 69
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MRI-Based Deep Learning Method for Classification of IDH Mutation Status
2023 · Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, et al. · Bioengineering · 24
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Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma
2024 · Nghi C. D. Truong, Chandan Ganesh Bangalore Yogananda, et al. · Radiology Artificial Intelligence · 20
Federated Learning for Brain Tumor Segmentation Using MRI and Transformers
2022 · Sahil Nalawade, Chandan Ganesh, et al. · Lecture notes in computer science · 18
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
2025 · Maximilian Zenk, Ujjwal Baid, et al. · Nature Communications · 16
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Disparity Autoencoders for Multi-class Brain Tumor Segmentation
2022 · Chandan Ganesh Bangalore Yogananda, Yudhajit Das, et al. · Lecture notes in computer science · 10
Alterations in the Magnetoencephalography Default Mode Effective Connectivity following Concussion
2021 · D.D. Reddy, E.M. Davenport, et al. · American Journal of Neuroradiology · 9
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Author Correction: Federated learning enables big data for rare cancer boundary detection
2023 · Sarthak Pati, Ujjwal Baid, et al. · Nature Communications · 5
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The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and Segmentations
2026 · Divya D. Reddy, Niloufar Saadat, et al. · Scientific Data · 4
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Bridging the clinical gap: Confidence informed IDH prediction in brain gliomas using MRI and deep learning
2025 · Chandan Ganesh Bangalore Yogananda, Nghi C D Truong, et al. · Neuro-Oncology Advances · 3
Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling
2024 · Divya D. Reddy, Niloufar Saadat, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 3
The University of Texas Southwestern Glioma MRI dataset with molecular marker characterization and segmentations (UTSW-Glioma)
2026 · Reddy, Divya, Saadat, Niloufar, et al. · The Cancer Imaging Archive · 1
Categorical and phenotypic image synthetic learning as an alternative to federated learning
2025 · Nghi C. D. Truong, Chandan Ganesh Bangalore Yogananda, et al. · Nature Communications · 1
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Integrating Image-Based Artificial Intelligence in the Operating Room: Enhancing Safety and Efficiency While Navigating Ethical Considerations
2025 · Ngoc-Anh A. Nguyen, MD, Brendan Holderread, MD, et al. · Telehealth and Medicine Today · 1
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Mitigating data scarcity in the classification of glioma molecular subtypes: the power of generative imaging
2025 · Nghi C. D. Truong, Chandan Ganesh Bangalore Yogananda, et al. · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications · 1
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Synthesizing 3D multi-contrast brain tumor MRIs using tumor mask conditioning
2024 · Nghi C. Truong, Chandan Ganesh Bangalore Yogananda, et al. · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications · 1
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Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images
2022 · Chandan Ganesh Bangalore Yogananda, Bhavya R. Shah, et al. · Elsevier eBooks · 1
Enhancing 1p/19q Classification in Brain Gliomas Using IDH Status: A Deep Learning Study
2026 · Jason E. Bowerman, Ashwath S. Kapilavai, et al. · American Journal of Neuroradiology
Abstract 3047: A small molecule inhibitor of NVL suppresses tumor growth by blocking ribosome biogenesis
2026 · Arin B. Aurora, Holly H. Guo, et al. · Cancer Research
Abstract 998: The NVL inhibitor benzothiazepinone targets colorectal cancer by blocking ribosome biogenesis
2026 · Ye Tao, Holly Guo, et al. · Cancer Research
MRi potato head: feature‑guided latent diffusion for anatomically consistent 3D brain MRI editing
2026 · Nghi C. D. Truong, Chandan Ganesh Bangalore Yogananda, et al. · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications
Mitigating data scarcity in the classification of glioma molecular subtypes: the power of generative imaging (Erratum)
2025 · Nghi C. Truong, Chandan Ganesh Bangalore Yogananda, et al. · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications
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Data harmonization with StyleTransfer-GANs: enhancing non-invasive IDH classification in brain tumors
2025 · Chandan Ganesh Bangalore Yogananda, Jason Bowerman, et al. · SPIE Medical Imaging: Clinical and Biomedical Imaging
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Works count: 33
Citation count: 784
H-index: 9
I10-index: 8
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