| Distinct types of neural reorganization during long-term learning X Zhou, RN Tien, S Ravikumar, SM Chase Journal of neurophysiology 121 (4), 1329-1341, 2019 | 61 | 2019 |
| Three-dimensional mapping of neurofibrillary tangle burden in the human medial temporal lobe PA Yushkevich, M Muñoz López, MM Iñiguez de Onzoño Martin, ... Brain 144 (9), 2784-2797, 2021 | 49* | 2021 |
| Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation L Xie, LEM Wisse, J Wang, S Ravikumar, P Khandelwal, T Glenn, ... Medical image analysis 83, 102683, 2023 | 29 | 2023 |
| Ex vivo MRI atlas of the human medial temporal lobe: characterizing neurodegeneration due to tau pathology S Ravikumar, LEM Wisse, S Lim, R Ittyerah, L Xie, ML Bedard, SR Das, ... Acta neuropathologica communications 9, 1-14, 2021 | 21 | 2021 |
| Downstream effects of polypathology on neurodegeneration of medial temporal lobe subregions LEM Wisse, S Ravikumar, R Ittyerah, S Lim, J Lane, ML Bedard, L Xie, ... acta neuropathologica communications 9, 1-11, 2021 | 19 | 2021 |
| Associations of phosphorylated tau pathology with whole‐hemisphere ex vivo morphometry in 7 tesla MRI S Sadaghiani, W Trotman, SA Lim, E Chung, R Ittyerah, S Ravikumar, ... Alzheimer's & Dementia 19 (6), 2355-2364, 2023 | 8 | 2023 |
| Building an ex vivo atlas of the earliest brain regions affected by Alzheimer's Disease Pathology S Ravikumar, LEM Wisse, R Ittyerah, S Lim, M Lavery, L Xie, JL Robinson, ... 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 113-117, 2020 | 8 | 2020 |
| Facilitating manual segmentation of 3D datasets using contour and intensity guided interpolation S Ravikumar, L Wisse, Y Gao, G Gerig, P Yushkevich 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 8 | 2019 |
| 3d mapping of tau neurofibrillary tangle pathology in the human medial temporal lobe PA Yushkevich, MMI de Onzoño Martin, R Ittyerah, S Lim, M Lavery, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1312-1316, 2020 | 7 | 2020 |
| Ex vivo, in situ perfusion protocol for human brain fixation compatible with microscopy, MRI techniques, and anatomical studies R Insausti, AM Insausti, M Muñoz López, I Medina Lorenzo, ... Frontiers in Neuroanatomy 17, 1149674, 2023 | 6 | 2023 |
| Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres P Khandelwal, S Sadaghiani, MT Duong, S Ravikumar, S Lim, ... arXiv preprint arXiv:2110.07711, 2021 | 4 | 2021 |
| Deep learning pipeline for cortical gray matter segmentation and thickness analysis in Ultra High Resolution T2w 7 Tesla Ex vivo MRI across neurodegenerative … P Khandelwal, S Sadaghiani, E Chung, SA Lim, MT Duong, S Ravikumar, ... Alzheimer's & Dementia 18, e065737, 2022 | 3 | 2022 |
| Deep label fusion: a 3D end-to-end hybrid multi-atlas segmentation and deep learning pipeline L Xie, LEM Wisse, J Wang, S Ravikumar, T Glenn, A Luther, S Lim, ... International Conference on Information Processing in Medical Imaging, 428-439, 2021 | 3 | 2021 |
| Unfolding the medial temporal lobe cortex to characterize neurodegeneration due to Alzheimer’s disease pathology using ex vivo imaging S Ravikumar, L Wisse, S Lim, D Irwin, R Ittyerah, L Xie, SR Das, E Lee, ... Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN …, 2021 | 3 | 2021 |
| Optimized extraction of the medial temporal lobe for postmortem MRI based on custom 3D printed molds: Neuroimaging/new imaging methods J Lasserve, SA Lim, L Wisse, R Ittyerah, S Ravikumar, M Lavery, ... Alzheimer's & Dementia 16, e043254, 2020 | 3 | 2020 |
| High‐resolution postmortem MRI reveals TDP‐43 association with medial temporal lobe subregional atrophy: Biomarkers: Leveraging postmortem collections to validate neuroimaging L Wisse, S Ravikumar, R Ittyerah, SA Lim, J Lane, M Lavery, L Xie, ... Alzheimer's & Dementia 16, e045744, 2020 | 3 | 2020 |
| Automated deep learning segmentation of high-resolution 7 tesla postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases P Khandelwal, MT Duong, S Sadaghiani, S Lim, AE Denning, E Chung, ... Imaging Neuroscience 2, 1-30, 2024 | 2 | 2024 |
| Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases. P Khandelwal, MT Duong, S Sadaghiani, S Lim, A Denning, E Chung, ... arXiv preprint arXiv: 2303.12237, 2023 | 2 | 2023 |
| Deep Learning for Ultra High Resolution T2‐weighted 7 Tesla Ex vivo Magnetic Resonance Imaging Reveals Differential Subcortical Atrophy across … P Khandelwal, MT Duong, E Chung, S Sadaghiani, SA Lim, S Ravikumar, ... Alzheimer's & Dementia 18, e062628, 2022 | 2 | 2022 |
| Improved segmentation of deep sulci in cortical gray matter using a deep learning framework incorporating laplace’s equation S Ravikumar, R Ittyerah, S Lim, L Xie, S Das, P Khandelwal, LEM Wisse, ... International Conference on Information Processing in Medical Imaging, 692-704, 2023 | 1 | 2023 |
