Publications

My Bibliography

Journal Publications

1. Prasanna Parvathaneni, Vishwesh Nath, Justin A. Blaber, Kurt G. Schilling, Allison E. Hainline, Ed Mojahed, Adam W. Anderson, and Bennett A. Landman. "Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO." Magnetic resonance imaging (2018). https://doi.org/10.1016/j.mri.2018.03.004  

2. Prasanna Parvathaneni; Ilwoo Lyu; Yuankai Huo; Baxter P. Rogers; Kurt G. Schilling; Vishwesh Nath; Justin A Blaber; Allison E Hainline; Adam W Anderson; Neil D. Woodward; Bennett A Landman. "Improved gray matter surface based spatial statistics in neuroimaging studies." Magnetic Resonance Imaging (2019).  https://doi.org/10.1016/j.mri.2019.05.016

3. Prasanna Parvathaneni; Vishwesh Nath; Maureen McHugo; Yuankai Huo; Susan Resnick; Neil D. Woodward; Bennett A Landman; Ilwoo Lyu. "Improving Human Cortical Sulcal Curve Labeling in Large Scale Cross-Sectional MRI using Deep Neural Networks.” - Journal of Neuroscience Methods (2019). https://doi.org/10.1016/j.jneumeth.2019.108311

4. Vishwesh Nath, Kurt G. Schilling, Prasanna Parvathaneni, Justin Blaber, Allison E. Hainline, Zhaohua Ding, Adam Anderson, and Bennett A. Landman. "Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI." Journal of Medical Imaging 5, no. 1 (2018). https://doi.org/10.1117/1.JMI.5.1.014005

5. Allison E Hainline, Vishwesh Nath, Prasanna Parvathaneni, Justin A. Blaber, Kurt G. Schilling, Adam W. Anderson, Hakmook Kang, and Bennett A. Landman. "Empirical single sample quantification of bias and variance in Q‐ball imaging." Magnetic resonance in medicine (2018). https://doi.org/10.1002/mrm.27115

6. Kurt G Schilling, Vishwesh Nath, Justin A. Blaber, Prasanna Parvathaneni, Adam W. Anderson, and Bennett A. Landman. "Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible Q-ball imaging." Magnetic resonance imaging (2017). https://doi.org/10.1016/j.mri.2017.04.007  

7. Yuankai Huo*, Justin Blaber*, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez Noguera, Shikha Chaganti, Vishwesh Nath, Jasmine M. Greer, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, and Bennett A. Landman. "Towards Portable Large-scale Image Processing with High-Performance Computing". Journal of Digital Imaging (2018).  https://doi.org/10.1007/s10278-018-0080-0

8. Schilling, Kurt G., Vishwesh Nath, Colin Hansen, Prasanna Parvathaneni, Justin Blaber, Yurui Gao, Peter Neher et al. "Limits to anatomical accuracy of diffusion tractography using modern approaches." NeuroImage 185 (2019). https://doi.org/10.1016/j.neuroimage.2018.10.029  

9. Huo, Yuankai, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo et al. "Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks." IEEE transactions on medical imaging (2018). https://doi.org/10.1109/TMI.2018.2881110  

10. Hansen, Colin B., Vishwesh Nath, Allison E. Hainline, Kurt G. Schilling, Prasanna Parvathaneni, Roza G. Bayrak, Justin A. Blaber et al. "Characterization and correlation of signal drift in diffusion weighted MRI." Magnetic resonance imaging 57 (2019). https://doi.org/10.1016/j.mri.2018.11.009

11. Hansen, Colin B., Vishwesh Nath, Allison E. Hainline, Kurt G. Schilling, Prasanna Parvathaneni, Roza G. Bayrak, Justin A. Blaber et al. "Consideration of cerebrospinal fluid intensity variation in diffusion weighted MRI." In Medical Imaging 2019: Physics of Medical Imaging, vol. 10948, p. 109482G. International Society for Optics and Photonics, 2019. doi: https://doi.org/10.1117/12.2512949

12. Nath, Vishwesh, Kurt Schilling, Prasanna Parvathaneni, Allison E. Hainline, Yuankai Huo, Justin A. Blaber, Matt Rowe et al. "Tractography Reproducibility Challenge with Empirical Data (TraCED): The 2017 ISMRM Diffusion Study Group Challenge." BioRxiv (2018): 484543. https://doi.org/10.1101/484543

13. Nath, Vishwesh, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Yuankai Huo, Justin A. Blaber et al. "Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI." Magnetic resonance imaging 62 (2019): 220-227. doi: https://doi.org/10.1016/j.mri.2019.07.012

14. Hainline, Allison E., Vishwesh Nath, Prasanna Parvathaneni, Kurt G. Schilling, Justin A. Blaber, Adam W. Anderson, Hakmook Kang, and Bennett A. Landman. "A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging." Magnetic resonance imaging 59 (2019): 130-136. doi: https://doi.org/10.1016/j.mri.2019.03.021

15. Bao, Shunxing, Camilo Bermudez, Yuankai Huo, Prasanna Parvathaneni, William Rodriguez, Susan M. Resnick, Pierre-François D'Haese et al. "Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields." Magnetic resonance imaging 59 (2019): 143-152. doi: https://doi.org/10.1016/j.mri.2019.03.014

16. Huo, Yuankai, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, J. Jeffery Carr, and Bennett A. Landman. "Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning." In Medical Imaging 2019: Image Processing, vol. 10949, pp. 308-315. SPIE, 2019. doi: https://doi.org/10.1117/12.2512541

17. Hao, Lingyan, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob A. Miller, Willa Voorhies et al. "Automatic labeling of cortical sulci using spherical convolutional neural networks in a developmental cohort." In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp. 412-415. IEEE, 2020. doi: 10.1109/ISBI45749.2020.9098414.

18. De Luca, A., Ianus, A., Leemans, A., Palombo, M., Shemesh, N., Zhang, H., Alexander, D.C., Nilsson, M., Froeling, M., ..Prasanna Parvathaneni, ....,  Biessels, G.J. and Zucchelli, M., 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. NeuroImage, 240, p.118367. doi:https://doi.org/10.1016/j.neuroimage.2021.118367

19. Al-Louzi, Omar, Snehashis Roy, Ikesinachi Osuorah, Prasanna Parvathaneni, Bryan R. Smith, Joan Ohayon, Pascal Sati et al. "Progressive multifocal leukoencephalopathy lesion and brain parenchymal segmentation from MRI using serial deep convolutional neural networks." NeuroImage: Clinical 28 (2020): 102499. doi: https://doi.org/10.1016/j.nicl.2020.102499

20. Beck, Erin S., Josefina Maranzano, Nicholas J. Luciano, Prasanna Parvathaneni, Stefano Filippini, Mark Morrison, Daniel J. Suto et al. "Cortical lesion hotspots and association of subpial lesions with disability in multiple sclerosis." Multiple Sclerosis Journal (2022): 13524585211069167. doi: https://doi.org/10.1177/13524585211069167

Highly selective Conference Publications

1.    Parvathaneni, Prasanna, Baxter P. Rogers, Yuankai Huo, Kurt G. Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, and Bennett A. Landman. "Gray Matter Surface based Spatial Statistics (GS-BSS) in diffusion microstructure." In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 638-646. Springer, Cham, 2017. https://doi.org/10.1007/978-3-319-66182-7_73

2.    Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman and Aniruddha Gokhale. "Technology Enablers for Cloud-based Multi-level Analysis Applications in Medical Image Processing." IEEE BigData 2018 

3.    Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, and Bennett A. Landman. “Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.” In International Conference on Medical Image Computing and Computer-Assisted Intervention. vol 11072. pp. 698-705 Springer, Cham, 2018.

4.   *Prasanna Parvathaneni, *Shunxing Bao, Vishwesh Nath, Neil D. Woodward, Daniel O. Claassen, Carissa Cascio, David H. Zald, Yuankai Huo, Bennett A. Landman, Ilwoo Lyu, "Cortical Surface Parcellation using Spherical Convolutional Neural Networks”, MICCAI 2019 (Accepted).

Conference Publications

1. Prasanna Parvathaneni, Erin S. Beck, Josefina Maranzano, Tianxia Wu, Govind Nair, and Daniel Reich. "Cortical Morphometric Measures Associate with Cortical Lesions and Disability in Multiple Sclerosis." In MULTIPLE SCLEROSIS JOURNAL, vol. 27, no. 1_ SUPPL, pp. 66-67. 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND: SAGE PUBLICATIONS LTD, 2021. (Abstract) (ePoster) (Short Talk) 

2. Prasanna Parvathaneni, Matthew K. Schindler, Hadar Kolb, Erin S. Beck, Gina Norato, Gulbu Uzel, Daniel S. Reich, Govind Nair. “NODDI can differentiate microstructural changes due to inflammation and tissue destruction in humans” – In Organization for Human Brain Mapping (OHBM) 2020  (Abstract) (Poster) (Short Talk)

3. Hadar Kolb, Mark Morrison, Prasanna Parvathaneni, Erin S. Beck, M. Absinta, Govind Nair, Irene C. Cortese, and Daniel S. Reich. "3T MP2RAGE MRI: An In-vivo, Clinically Applicable Marker Of Lesion Repair In Multiple Sclerosis." In MULTIPLE SCLEROSIS JOURNAL, vol. 26, no. 1_ SUPPL, pp. 81-81. 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND: SAGE PUBLICATIONS LTD, 2020.

4.  Prasanna Parvathaneni, Ilwoo Lyu, Yuankai Huo, Justin Blaber, Allison E. Hainline, Hakmook Kang, Neil D. Woodward, and Bennett A. Landman. "Constructing statistically unbiased cortical surface templates using feature-space covariance." In Medical Imaging 2018: Image Processing, vol. 10574, p. 1057406. International Society for Optics and Photonics, 2018. (Abstract) (Presentation)

5. Prasanna Parvathaneni, Shunxing Bao, Allison Hainline , Yuankai Huo , Kurt G. Schilling , Hakmook Kang , Owen Williams , Neil D. Woodward , Susan M. Resnick , David H. Zald  , Ilwoo Lyu , Bennett A. Landman “Harmonization of white and gray matter features in diffusion microarchitecture for cross sectional studies.”  In International Conference on Clinical and Medical Image Analysis 2018 (ICCMIA’18).

6. Sun, Peizhen, Prasanna Parvathaneni, Kurt G. Schilling, Yurui Gao, Vaibhav Janve, Adam Anderson, and Bennett A. Landman. "Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus." In Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 9417, p. 94171T. International Society for Optics and Photonics, 2015.

7. Gao, Yurui, Prasanna Parvathaneni, Kurt G. Schilling, Feng Wang, Iwona Stepniewska, Zhoubing Xu, Ann S. Choe et al. "A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging." In Medical Imaging 2016: Image Processing, vol. 9784, p. 97843K. International Society for Optics and Photonics, 2016.

8.  Huo, Yuankai, Shunxing Bao, Prasanna Parvathaneni, and Bennett A. Landman. "Improved stability of whole brain surface parcellation with multi-atlas segmentation." In Medical Imaging 2018: Image Processing, vol. 10574, p. 1057438. International Society for Optics and Photonics, 2018.

9. Nath, Vishwesh, Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson et al. "SHARD: spherical harmonic-based robust outlier detection for HARDI methods." In Medical Imaging 2018: Image Processing, vol. 10574, p. 105740X. International Society for Optics and Photonics, 2018.

10. Bao, Shunxing, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha Gokhale, and Bennett A. Landman. "A data colocation grid framework for big data medical image processing: backend design." In Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, vol. 10579, p. 105790A. International Society for Optics and Photonics, 2018.

11. Hainline, Allison E., Vishwesh Nath, Prasanna Parvathaneni, Justin Blaber, Baxter Rogers, Allen Newton, Jeffrey Luci, Heidi Edmonson, Hakmook Kang, and Bennett A. Landman. "Evaluation of inter-site bias and variance in diffusion-weighted MRI." In Medical Imaging 2018: Image Processing, vol. 10574, p. 1057413. International Society for Optics and Photonics, 2018. 

12. Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Camilo Bermudez, Samuel Remedios, Justin A. Blaber, Kurt G. Schilling, Ilwoo Lyu, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Baxter P. Rogers, Allen T. Newton, L. Taylor Davis, Jeff Luci, Adam W. Anderson and Bennett A. Landman "Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning." (Accepted at Computation Diffusion MRI Workshop at MICCAI 2018). 

Conference Abstracts

1.    Prasanna Parvathaneni, Baxter P. Rogers, Yuankai Huo, Kurt G. Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, Bennett A. Landman. “Gray Matter Surface based Spatial Statistics in Neuroimaging Studies”. Frontiers in Biomedical Imaging Science VI. May 2017. (Abstract) (Short Talk)

2.    Neil D. Woodward, Prasanna Parvathaneni, Baxter Rogers, Stephen Damon, Bennett Landman. “Neurite orientation dispersion and density imaging (NODDI) of the prefrontal cortex in psychosis”. Society of Biological Psychiatry (SoBP) 2017. 

3.    Neil D. Woodward,Prasanna Parvathaneni, Baxter Rogers, Stephen Damon, Bennett Landman “Dendritic organization within the PFC measured in vivo in psychosis using neurite orientation dispersion and density imaging (NODDI)”.International Congress on Schizophrenia Research (IOCR) 2017. 

4.    Sheffield, Julia,Prasanna Parvathaneni, Baxter Rogers, Bennett Landman, and Neil Woodward. "T222. Functional Brain Activation and Grey Matter Integrity in Psychosis: A Combined Functional Magnetic Resonance and Neurite Orientation Distribution and Density Imaging Study." Biological Psychiatry 83, no. 9 (2018): S214-S215.

5.    Kurt Schilling, Vishwesh Nath, Justin Blaber, Prasanna Parvathaneni, Adam Anderson, Bennett Landman. “Empirical reproducibility of clinically feasible ensemble average propagator imaging”. ISMRM April 2017.

6.     Prasanna Parvathaneni, Joanna Phillips, Juan R. Cabrera, Anny Shai, Soonmee Cha, Susan Chang, Sarah Nelson, and Janine Lupo "Application of an advanced diffusion-weighted MRI technique to characterize glioma microstructure and relationship to histopathology” Society of Neuro-Oncology (2016): vi134-vi134. (Abstract) (Poster)

7.    Prasanna Parvathaneni, Qiuting Wen, Joanna J Phillips, Tracy Luks, Soonmee Cha, Susan M Chang, Sarah J Nelson, Janine M Lupo “Comparison of tumor microstructure derived NODDI and DTI metrics to histopathology in different grades of brain tumor.” ISMRM 2016. (Abstract) (Poster)