| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 158 | 2022 |
| MRI-based deep-learning method for determining glioma MGMT promoter methylation status CGB Yogananda, BR Shah, SS Nalawade, GK Murugesan, FF Yu, ... American Journal of Neuroradiology 42 (5), 845-852, 2021 | 82 | 2021 |
| A fully automated deep learning network for brain tumor segmentation CGB Yogananda, BR Shah, M Vejdani-Jahromi, SS Nalawade, ... Tomography 6 (2), 186-193, 2020 | 68 | 2020 |
| A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas CGB Yogananda, BR Shah, FF Yu, MC Pinho, SS Nalawade, ... Neuro-oncology advances 2 (Supplement_4), iv42-iv48, 2020 | 54 | 2020 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... The journal of machine learning for biomedical imaging 2022, 2022 | 40 | 2022 |
| Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning S Nalawade, GK Murugesan, M Vejdani-Jahromi, RA Fisicaro, ... Journal of Medical Imaging 6 (4), 046003-046003, 2019 | 28 | 2019 |
| A deep learning pipeline for automatic skull stripping and brain segmentation CGB Yogananda, BC Wagner, GK Murugesan, A Madhuranthakam, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 21 | 2019 |
| Concurrent measurement of skeletal muscle blood flow during exercise with diffuse correlation spectroscopy and Doppler ultrasound CG Bangalore-Yogananda, R Rosenberry, S Soni, H Liu, MD Nelson, ... Biomedical Optics Express 9 (1), 131-141, 2018 | 21 | 2018 |
| Fully automated brain tumor segmentation and survival prediction of gliomas using deep learning and MRI CG Bangalore Yogananda, B Wagner, SS Nalawade, GK Murugesan, ... International MICCAI Brainlesion Workshop, 99-112, 2020 | 20 | 2020 |
| Multidimensional and multiresolution ensemble networks for brain tumor segmentation GK Murugesan, S Nalawade, C Ganesh, B Wagner, FF Yu, B Fei, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 19 | 2020 |
| BrainNET: Inference of brain network topology using machine learning GK Murugesan, C Ganesh, S Nalawade, EM Davenport, B Wagner, ... Brain connectivity 10 (8), 422-435, 2020 | 11 | 2020 |
| Federated learning for brain tumor segmentation using MRI and transformers S Nalawade, C Ganesh, B Wagner, D Reddy, Y Das, FF Yu, B Fei, ... International MICCAI Brainlesion Workshop, 444-454, 2021 | 8 | 2021 |
| Disparity autoencoders for multi-class brain tumor segmentation CG Bangalore Yogananda, Y Das, BC Wagner, SS Nalawade, D Reddy, ... International MICCAI Brainlesion Workshop, 116-124, 2021 | 7 | 2021 |
| Author Correction: Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... nature communications 14 (1), 436, 2023 | 3 | 2023 |
| 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 SS Nalawade, FF Yu, CG Bangalore Yogananda, GK Murugesan, ... Journal of Medical Imaging 9 (1), 016001-016001, 2022 | 3 | 2022 |
| Classification of brain tumor IDH status using MRI and deep learning. bioRxiv. 2019; 757344 S Nalawade, G Murugesan, M Vejdani-Jahromi, RA Fisicaro, ... | 3* | |
| MRI-Based Deep Learning Method for Classification of IDH Mutation Status CG Bangalore Yogananda, BC Wagner, NCD Truong, JM Holcomb, ... Bioengineering 10 (9), 1045, 2023 | 2 | 2023 |
| Brain Tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: effect of motion and motion correction SS Nalawade, FF Yu, CG Bangalore Yogananda, GK Murugesan, ... bioRxiv, 2020.06. 01.126375, 2020 | 2 | 2020 |
| Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma NCD Truong, CG Bangalore Yogananda, BC Wagner, JM Holcomb, ... Radiology: Artificial Intelligence 6 (4), e230218, 2024 | 1 | 2024 |
| Non-Invasive Profiling of Molecular Markers in Brain Gliomas Using Deep Learning and Magnetic Resonance Images CGB Yogananda The University of Texas at Arlington, 2021 | 1 | 2021 |
