EU

Meet the Team

Sadhana Ravikumar, P.h.D

Senior R&D Engineer

Medical Computing

Kitware Remote

Ph.D. in Bioengineering
University of Pennsylvania

M.S. in Biomedical Engineering
Carnegie Mellon University

B.Sc. in Electrical Engineering
University of Cape Town, South Africa

Sadhana Ravikumar

Sadhana is a senior R&D engineer on Kitware’s Medical Computing Team located in Carrboro, North Carolina. Sadhana contributes to the development of image analysis and machine learning algorithms for various medical computing and computer science projects.

Sadhana received her Ph.D in bioengineering from the University of Pennsylvania under the supervision of Dr. Paul Yushkevich in the Penn Image Computing and Science Lab. After defending her thesis, she worked in the lab as a postdoctoral researcher. She focused on developing medical image analysis and machine learning algorithms for analyzing neurodegeneration in early brain regions affected by Alzheimer’s disease using ex vivo magnetic resonance imaging and histopathology data. Sadhana received her master’s in biomedical Engineering from Carnegie Mellon University and her bachelor’s in electrical engineering from the University of Cape Town, South Africa.

Awards

  • 2023 Solomon R. Pollack Award for Excellence in Graduate Bioengineering Research presented by the University of Pennsylvania, 2023

Publications

  1. S. Ravikumar, A. Denning, S. Lim, E. Chung, N. Sadeghpour, R. Ittyerah, L. Wisse, S. Das, L. Xie, J. Robinson, T. Schuck, E. Lee, J. Detre, M. Tisdall, K. Prabhakaran, G. Mizsei, M. De Onzono Martin, M. Arroyo Jiménez, M. Mũnoz, M. Marcos Rabal, S. Cebada Sánchez, J. Delgado González, C. De La Rosa Prieto, D. Irwin, D. Wolk, R. Insausti, and P. Yushkevich, "Postmortem imaging reveals patterns of medial temporal lobe vulnerability to tau pathology in Alzheimer’s disease," Nature Communications, vol. 15, no. 1, pp. 4803, Jun. 2024. [URL]
  2. S. Arikatla, S. Ravikumar, R. White, T. Nguyen, and B. Paniagua, "High-fidelity surgical simulator for the performance of craniofacial osteotomies," International Journal of Computer Assisted Radiology and Surgery, vol. 20, no. 3, pp. 535-543, Dec. 2024. [URL]
  3. R. Insausti, A. Insausti, M. Muñoz López, I. Medina Lorenzo, M. Arroyo-Jiménez, M. Marcos Rabal, C. De La Rosa-Prieto, J. Delgado-González, J. Montón Etxeberria, S. Cebada-Sánchez, J. Raspeño-García, M. Iñiguez De Onzoño, F. Molina Romero, R. Benavides-Piccione, S. Tapia-González, L. Wisse, S. Ravikumar, D. Wolk, J. DeFelipe, P. Yushkevich, and E. Artacho-Pérula, "Ex vivo, in situ perfusion protocol for human brain fixation compatible with microscopy, MRI techniques, and anatomical studies," Frontiers in Neuroanatomy, vol. 17, pp. 1149674, Mar. 2023. [URL]
  4. S. Sadaghiani, W. Trotman, S. Lim, E. Chung, R. Ittyerah, S. Ravikumar, P. Khandelwal, K. Prabhakaran, M. Lavery, D. Ohm, M. Gabrielyan, S. Das, T. Schuck, N. Capp, C. Peterson, E. Migdal, E. Artacho‐Pérula, M. Jiménez, M. Rabal, S. Sánchez, C. Prieto, M. Parada, R. Insausti, J. Robinson, C. McMillan, M. Grossman, E. Lee, J. Detre, S. Xie, J. Trojanowski, M. Tisdall, L. Wisse, D. Irwin, D. Wolk, and P. Yushkevich, "Associations of phosphorylated tau pathology with whole‐hemisphere ex vivo morphometry in 7 tesla MRI," Alzheimer's & Dementia, vol. 19, no. 6, pp. 2355-2364, Jun. 2023. [URL]
  5. L. Xie, L. Wisse, J. Wang, S. Ravikumar, P. Khandelwal, T. Glenn, A. Luther, S. Lim, D. Wolk, and P. Yushkevich, "Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation," Medical Image Analysis, vol. 83, pp. 102683, Jan. 2023. [URL]
  6. S. Ravikumar, R. Ittyerah, S. Lim, L. Xie, S. Das, P. Khandelwal, L. Wisse, M. Bedard, J. Robinson, T. Schuck, M. Grossman, J. Trojanowski, E. Lee, M. Tisdall, K. Prabhakaran, J. Detre, D. Irwin, W. Trotman, G. Mizsei, E. Artacho-Pérula, M. De Onzono Martin, M. Del Mar Arroyo Jiménez, M. Muñoz, F. Romero, M. Del Pilar Marcos Rabal, S. Cebada-Sánchez, J. González, C. De La Rosa-Prieto, M. Parada, D. Wolk, R. Insausti, and P. Yushkevich, "Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace’s Equation," in Information Processing in Medical Imaging. Springer Nature Switzerland, 2023, pp. 692-704. [URL]
  7. S. Ravikumar, A. Denning, S. Lim, E. Chung, R. Ittyerah, L. Wisse, L. Xie, S. Das, J. Robinson, T. Schuck, M. Grossman, E. Lee, D. Tisdall, G. Mizsei, E. Artacho‐Perula, M. Martin, M. Jimenez, M. Munoz, F. Romero, P. Rabal, S. Sanchez, J. Gonzalez, R. Prieto, M. Parada, D. Irwin, J. Trojanowski, D. Wolk, R. Insausti, and P. Yushkevich, "Combining high‐resolution ex vivo MRI and histopathology to identify medial temporal lobe atrophy patterns specific to tau pathology in Alzheimer’s Disease," Alzheimer's & Dementia, vol. 18, no. S6, Dec. 2022. [URL]
  8. P. Khandelwal, M. Duong, E. Chung, S. Sadaghiani, S. Lim, S. Ravikumar, S. Arezoumandan, C. Peterson, M. Bedard, N. Capp, R. Ittyerah, E. Migdal, G. Choi, E. Kopp, B. Patino, E. Hasan, J. Li, K. Prabhakaran, G. Mizsei, M. Gabrielyan, T. Schuck, J. Robinson, D. Ohm, I. Nasrallah, E. Lee, J. Trojanowski, C. McMillan, M. Grossman, D. Irwin, D. Tisdall, S. Das, L. Wisse, D. Wolk, and P. Yushkevich, "Deep Learning for Ultra High Resolution T2‐weighted 7 Tesla Ex vivo Magnetic Resonance Imaging Reveals Differential Subcortical Atrophy across Neurodegenerative Diseases," Alzheimer's & Dementia, vol. 18, no. S5, Dec. 2022. [URL]
  9. P. Khandelwal, S. Sadaghiani, E. Chung, S. Lim, M. Duong, S. Ravikumar, S. Arezoumandan, C. Peterson, M. Bedard, N. Capp, R. Ittyerah, E. Migdal, G. Choi, E. Kopp, B. Patino, E. Hasan, J. Li, K. Prabhakaran, G. Mizsei, M. Gabrielyan, T. Schuck, J. Robinson, D. Ohm, E. Lee, J. Trojanowski, C. McMillan, M. Grossman, D. Irwin, D. Tisdall, S. Das, L. Wisse, D. Wolk, and P. Yushkevich, "Deep learning pipeline for cortical gray matter segmentation and thickness analysis in Ultra High Resolution T2w 7 Tesla Ex vivo MRI across neurodegenerative diseases reveals associations with underlying neuropathology," Alzheimer's & Dementia, vol. 18, no. S5, Dec. 2022. [URL]
  10. S. Sadaghiani, S. Ravikumar, R. Ittyerah, S. Lim, E. Chung, M. Bedard, L. Xie, S. Das, T. Schuck, M. Grossman, E. Lee, D. Tisdall, K. Prabhakaran, J. Detre, G. Mizsei, J. Trojanowski, D. Irwin, L. Wisse, D. Wolk, and P. Yushkevich, "Linking histology to post‐mortem 7T MRI measures of neurodegeneration," Alzheimer's & Dementia, vol. 18, no. S5, Dec. 2022. [URL]
  11. P. Yushkevich, M. Muñoz López, M. Iñiguez De Onzoño Martin, R. Ittyerah, S. Lim, S. Ravikumar, M. Bedard, S. Pickup, W. Liu, J. Wang, L. Hung, J. Lasserve, N. Vergnet, L. Xie, M. Dong, S. Cui, L. McCollum, J. Robinson, T. Schuck, R. De Flores, M. Grossman, M. Tisdall, K. Prabhakaran, G. Mizsei, S. Das, E. Artacho-Pérula, M. Arroyo Jiménez, M. Marcos Raba, F. Molina Romero, S. Cebada Sánchez, J. Delgado González, C. De La Rosa-Prieto, M. Córcoles Parada, E. Lee, J. Trojanowski, D. Ohm, L. Wisse, D. Wolk, D. Irwin, and R. Insausti, "Three-dimensional mapping of neurofibrillary tangle burden in the human medial temporal lobe," Brain, vol. 144, no. 9, pp. 2784-2797, Oct. 2021. [URL]
  12. L. Wisse, S. Ravikumar, R. Ittyerah, S. Lim, J. Lane, M. Bedard, L. Xie, S. Das, T. Schuck, M. Grossman, E. Lee, M. Tisdall, K. Prabhakaran, J. Detre, G. Mizsei, J. Trojanowski, E. Artacho-Pérula, M. De Iñiguez De Onzono Martin, M. M. Arroyo-Jiménez, M. Muñoz Lopez, F. Molina Romero, M. P. Marcos Rabal, S. Cebada Sánchez, J. Delgado González, C. De La Rosa Prieto, M. Córcoles Parada, D. Wolk, D. Irwin, R. Insausti, and P. Yushkevich, "Downstream effects of polypathology on neurodegeneration of medial temporal lobe subregions," Acta Neuropathologica Communications, vol. 9, no. 1, pp. 128, Jul. 2021. [URL]
  13. S. Ravikumar, L. Wisse, S. Lim, R. Ittyerah, L. Xie, M. Bedard, S. Das, E. Lee, M. Tisdall, K. Prabhakaran, J. Lane, J. Detre, G. Mizsei, J. Trojanowski, J. Robinson, T. Schuck, M. Grossman, E. Artacho-Pérula, M. De Onzoño Martin, M. Del Mar Arroyo Jiménez, M. Muñoz, F. Romero, M. Del Pilar Marcos Rabal, S. Sánchez, J. González, C. De La Rosa Prieto, M. Parada, D. Irwin, D. Wolk, R. Insausti, and P. Yushkevich, "Ex vivo MRI atlas of the human medial temporal lobe: characterizing neurodegeneration due to tau pathology," Acta Neuropathologica Communications, vol. 9, no. 1, pp. 173, Dec. 2021. [URL]
  14. S. Das, L. Xie, R. De Flores, M. Munoz, M. De Onzono Martin, R. Ittyerah, S. Lim, S. Ravikumar, M. Lavery, S. Pickup, W. Liu, J. Wang, L. Hung, J. Lasserve, N. Vergnet, M. Dong, S. Cui, L. McCollum, J. Robinson, T. Schuck, M. Grossman, D. Tisdall, K. Prabhakaran, G. Mizsei, E. Artacho‐Perula, M. Del Mar Arroyo Jimenez, M. Del Pilar Marcos Rabal, F. Romero, S. Sanchez, J. González, C. De La Rosa Prieto, M. Parada, E. Lee, J. Trojanowski, D. Ohm, I. Nasrallah, M. Kelley, J. Lane, M. Dicalogero, L. Wisse, D. Irwin, R. Insausti, P. Yushkevich, and D. Wolk, "Application of histopathologically derived 3D tau burden map as in‐vivo region of interest for biomarker analysis," Alzheimer's & Dementia, vol. 17, no. S4, Dec. 2021. [URL]
  15. S. Ravikumar, L. Wisse, S. Lim, R. Ittyerah, L. Xie, M. Bedard, S. Das, D. Irwin, E. Lee, D. Tisdall, K. Prabhakaran, J. Detre, J. Trojanowski, J. Robinson, T. Schuck, M. Grossman, G. Mizsei, E. Artacho‐Perula, M. Martin, M. Del Mar Arroyo Jimenez, M. Munoz, F. Romero, M. Del Pilar Marcos Rabal, S. Sanchez, J. Gonzalez, C. De La Rosa Prieto, M. Parada, D. Wolk, R. Insausti, and P. Yushkevich, "Unfolding the medial temporal lobe to characterize neurodegeneration due to Alzheimer's disease pathology," Alzheimer's & Dementia, vol. 17, no. S4, Dec. 2021. [URL]
  16. L. Xie, L. Wisse, J. Wang, S. Ravikumar, T. Glenn, A. Luther, S. Lim, D. Wolk, and P. Yushkevich, "Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline," in Information Processing in Medical Imaging. Springer International Publishing, 2021, pp. 428-439. [URL]
  17. S. Ravikumar, L. Wisse, S. Lim, D. Irwin, R. Ittyerah, L. Xie, S. Das, E. Lee, M. Tisdall, K. Prabhakaran, J. Detre, G. Mizsei, J. Trojanowski, J. Robinson, T. Schuck, M. Grossman, E. Artacho-Pérula, M. De Onzoño Martin, M. Del Mar Arroyo Jiménez, M. Muñoz, F. Romero, M. Del Pilar Marcos Rabal, S. Sánchez, J. González, C. De La Rosa Prieto, M. Parada, D. Wolk, R. Insausti, and P. Yushkevich, "Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer’s Disease Pathology Using Ex vivo Imaging," in Machine Learning in Clinical Neuroimaging. Springer International Publishing, 2021, pp. 3-12. [URL]
  18. L. Wisse, S. Ravikumar, R. Ittyerah, S. Lim, J. Lane, M. Lavery, L. Xie, J. Robinson, T. Schuck, M. Grossman, E. Lee, D. Tisdall, K. Prabhakaran, J. Detre, S. Das, G. Mizsei, E. Artacho‐Perula, M. Martin, M. Jimenez, M. Munoz, F. Romero, M. Rabal, S. Sanchez, J. Gonzalez, C. Prieto, M. Parada, D. Irwin, J. Trojanowski, D. Wolk, R. Insausti, and P. Yushkevich, "High‐resolution postmortem MRI reveals TDP‐43 association with medial temporal lobe subregional atrophy: Biomarkers: Leveraging postmortem collections to validate neuroimaging," Alzheimer's & Dementia, vol. 16, no. S4, Dec. 2020. [URL]
  19. S. Ravikumar, L. Wisse, L. Xie, R. Ittyerah, S. Das, J. Detre, M. Grossman, M. Lavery, S. Lim, D. Irwin, T. Schuck, J. Trojanowski, E. Artacho‐Perula, M. Martin, E. Lee, G. Mizsei, D. Tisdall, M. Del Mar Arroyo Jimenez, M. Munoz, J. Gonzalez, M. Parada, C. De La Rosa Prieto, S. Sanchez, K. Prabhakaran, M. Del Pilar Marcos Rabal, F. Romero, J. Robinson, D. Wolk, R. Insausti, and P. Yushkevich, "Novel ex vivo MRI atlas of the medial temporal lobe can be used to characterize structural changes due to Alzheimer’s disease pathology: Neuroimaging: The medial temporal lobe in 2020," Alzheimer's & Dementia, vol. 16, no. S4, Dec. 2020. [URL]
  20. J. Lasserve, S. Lim, L. Wisse, R. Ittyerah, S. Ravikumar, M. Lavery, J. Robinson, T. Schuck, M. Grossman, E. Lee, P. Yushkevich, D. Tisdall, K. Prabhakaran, G. Mizsei, E. Artacho‐Perula, M. Martin, M. Jimenez, M. Munoz, F. Romero, M. Rabal, D. Irwin, J. Trojanowski, D. Wolk, and R. Insausti, "Optimized extraction of the medial temporal lobe for postmortem MRI based on custom 3D printed molds: Neuroimaging / New imaging methods," Alzheimer's & Dementia, vol. 16, no. S4, Dec. 2020. [URL]
  21. P. Yushkevich, M. De Onzono Martin, R. Ittyerah, S. Lim, M. Lavery, J. Wang, L. Hung, N. Vergnet, S. Ravikumar, L. Xie, M. Dong, R. DeFlores, S. Cui, L. McCollum, D. Ohm, J. Robinson, T. Schuck, M. Grossman, M. Tisdall, K. Prabhakaran, G. Mizsei, S. Das, E. Artacho-Perula, M. Del Mar Arroyo Jimenez, M. Lopez, M. Rabal, F. Romero, E. Lee, J. Trojanowski, L. Wisse, D. Wolk, D. Irwin, and R. Insausti, "3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe," in 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020. [URL]
  22. S. Ravikumar, L. Wisse, R. Ittyerah, S. Lim, M. Lavery, L. Xie, J. Robinson, T. Schuck, M. Grossman, E. Lee, M. Tisdall, K. Prabhakaran, J. Detre, S. Das, G. Mizsei, E. Artacho-Perula, M. De Onzono Martin, M. Del Mar Arroyo Jimenez, M. Munoz, F. Romero, M. Del Pilar Marcos Rabal, D. Irwin, J. Trojanowski, D. Wolk, R. Insausti, and P. Yushkevich, "Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology," in 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020. [URL]
  23. X. Zhou, R. Tien, S. Ravikumar, and S. Chase, "Distinct types of neural reorganization during long-term learning," Journal of Neurophysiology, vol. 121, no. 4, pp. 1329-1341, Apr. 2019. [URL]
  24. S. Ravikumar, L. Wisse, Y. Gao, G. Gerig, and P. Yushkevich, "Facilitating Manual Segmentation of 3D Datasets Using Contour And Intensity Guided Interpolation," in 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019. [URL]

Bibliography generated 2025-09-03-12:00:07 (7871)