Publications

Peer-reviewed journal articles

  • Parvathaneni, P., Nath, V., Blaber, J.A., Schilling, K.G., Hainline, A.E., Mojahed, E., Anderson, A.W. and Landman, B.A., Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO. Magnetic resonance imaging, 2018.
  • Nath, V., Schilling, K.G., Parvathaneni, P., Blaber, J., Hainline, A.E., Ding, Z., Anderson, A. and Landman, B.A., Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI. Journal of Medical Imaging, 2018.
  • Hainline, A.E., Nath, V., Parvathaneni, P., Blaber, J.A., Schilling, K.G., Anderson, A.W., Kang, H. and Landman, B.A., Empirical single sample quantification of bias and variance in Q‐ball imaging. Magnetic resonance in medicine 2018.
  • Schilling, K.G., Nath, V., Hansen, C., Parvathaneni, P., Blaber, J., Gao, Y., Neher, P., Aydogan, D.B., Shi, Y., Ocampo-Pineda, M. and Schiavi, S., 2018. Limits to anatomical accuracy of diffusion tractography using modern approaches. NeuroImage 2018.
  • Huo, Y., Blaber, J., Damon, S.M., Boyd, B.D., Bao, S., Parvathaneni, P., Noguera, C.B., Chaganti, S., Nath, V., Greer, J.M. and Lyu, I., Towards Portable Large-Scale Image Processing with High-Performance Computing. Journal of digital imaging, 2018.
  • Li, Y., Bian, W., Larson, P., Crane, J.C., Parvathaneni, P., Nagarajan, S. and Nelson, S.J., Reliable and Reproducible GABA Measurements Using Automated Spectral Prescription at Ultra-High Field. Frontiers in human neuroscience, 2017.
  • Schilling, K.G., Nath, V., Blaber, J.A., Parvathaneni, P., Anderson, A.W. and Landman, B.A., Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible Q-ball imaging. Magnetic resonance imaging, 2017.

Highly Selective Conference  

  • Bao, S., Parvathaneni, P., Huo, Y., Barve, Y., Plassard, A.J., Yao, Y., Sun, H., Lyu, I., Zald, D.H., Landman, B.A., and Gokhale. A.,” Technology Enablers for Cloud-based Multi-level Analysis Applications in Medical Image Processing ” BigData 2018, Seattle. (Accepted)
  • Huo, Y., Xu, Z., Aboud, K., Parvathaneni, P., Bao, S., Bermudez, C., Resnick, S.M., Cutting, L.E. and Landman, B.A., 2018. Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. MICCAI 2018.
  • Parvathaneni, P., Rogers, B.P., Huo, Y., Schilling, K.G., Hainline, A.E., Anderson, A.W., Woodward, N.D. and Landman, B.A., 2017, September. Gray Matter Surface based Spatial Statistics (GS-BSS) in diffusion microstructure. MICCAI 2017. (Travel award; Young Investigator award finalist) 

Full length conference

  • Nath, V.,Remedios, S., Parvathaneni, P.,Hansen, C.B., Bayrak, R.G., Bermudez, C., Blaber, J.A., Ramadass, K., Schilling, K.G., Janve, V.A., Yurui Gao, Huo, Y., Lyu, I., Williams, O., Resnick, S., Beason-Held, L., Rogers, B.P., Stepniewska, I., Anderson, A.W., Landman, B.A., “Harmonizing 1.5T/3T Diffusion Weighted MRI through Development of Deep Learning Stabilized Microarchitecture Estimaors” , SPIE Medical Imaging, 2019 (Accepted).
  • Huo, J.G. Terry, J. Wang, V. Nath, C. Bermudez, S. Bao, P. Parvathaneni, J.Jeffery Carr, and B. A. Landman, ”Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning”, SPIE Medical Imaging, 2019 (Accepted).
  • Nath, V., Parvathaneni, P.,Hansen, C.B., Hainline, A.E., Bermudez, C., Remedios, S., Blaber, J.A., Schilling, K.G., Lyu, I., Janve, V. and Gao, Y., 2018. Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. MICCAI Workshop 2018s
  • Parvathaneni, P.,Bao, S., Hainline, A.E., Huo, Y., Schilling, K.G., Kang, H., Williams, O., Woodward, N.D., Resnick, S.M., Zald, D.H., Lyu, I. and Landman, B.A., Harmonization of white and gray matter features in diffusion microarchitecture for cross sectional studies. International Conference on Clinical and Medical Image Analysis 2018.
  • Bao, S., Huo, Y., Parvathaneni, P., Plassard, A.J., Bermudez, C., Yao, Y., Lyu, I., Gokhale, A. and Landman, B.A., 2018, March. A data colocation grid framework for big data medical image processing: backend design. SPIE Medical Imaging
  • Nath, V., Schilling, K.G., Hainline, A.E., Parvathaneni, P., Blaber, J.A., Lyu, I., Anderson, A.W., Kang, H., Newton, A.T., Rogers, B.P. and Landman, B.A., 2018, March. SHARD: spherical harmonic-based robust outlier detection for HARDI methods. SPIE Medical Imaging 2018.
  • Parvathaneni, P., Lyu, I., Huo, Y., Blaber, J., Hainline, A.E., Kang, H., Woodward, N.D. and Landman, B.A., 2018, March. Constructing statistically unbiased cortical surface templates using feature-space covariance. SPIE Medical Imaging 2018 (Best student paper award finalist)
  • Hainline, A.E., Nath, V., Parvathaneni, P., Blaber, J., Rogers, B., Newton, A., Luci, J., Edmonson, H., Kang, H. and Landman, B.A., 2018, March. Evaluation of inter-site bias and variance in diffusion-weighted MRI. SPIE Medical Imaging 2018.
  • Huo, Y., Bao, S., Parvathaneni, P.and Landman, B.A., 2018, March. Improved stability of whole brain surface parcellation with multi-atlas segmentation. SPIE Medical Imaging 2018.
  • Gao, Y., Parvathaneni, P., Schilling, K.G., Wang, F., Stepniewska, I., Xu, Z., Choe, A.S., Ding, Z., Gore, J.C., min Chen, L. and Landman, B.A., A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging. SPIE Medical Imaging 2016.
  • Sun, P., Parvathaneni, P., Schilling, K.G., Gao, Y., Janve, V., Anderson, A. and Landman, B.A., Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus.SPIE Medical Imaging 2015.

Peer reviewed abstracts

  • Sheffield, J., Parvatheni, P., Rogers, B., Landman, B. and Woodward, N., 2018. 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, 2018.
  • Parvathaneni, P., Rogers, B.P., Huo, Y., Schilling, K.G., Hainline, A.E., Anderson, A.W., Woodward, N.D. and Landman, B.AGray Matter Surface based Spatial Statistics in Neuroimaging Studies. Frontiers in Biomedical Imaging Science VI. May 2017.
  • Schilling, K., Nath, V., Blaber, J., Parvathaneni, P., Anderson, A., Landman, B.A., “Empirical reproducibility of clinically feasible ensemble average propagator imaging”.ISMRM April 2017.
  • Woodward, N.D., Parvatheni, P., Rogers, B., Damon, S. and Landman, B., Neurite orientation dispersion and density imaging (NODDI) of the prefrontal cortex in psychosis. In Biological Psychiatry2017.
  • Woodward, N. and Parvatheni, P.,. M82. Neurite Orientation Dispersion and Density Imaging (NODDI) of the Prefrontal Cortex in Psychosis. Schizophrenia bulletin, 2017.  (IOCR) 2017
  • Morrison, M., Leynes, A., Jakary, A., Parvathaneni, P., Larson, P. and Lupo, J.M., “Relating the Evolution of RT-Induced Vascular Injury to surrounding white matter microstructure in Adult Glioma Patients”.ISMRM 2017. 
  • Parvathaneni, P., Wen, Q., Phillips, J.J., Luks, T., Cha, S., Chang, S.M., Nelson, S.J. and Lupo, J.M. Comparison of tumor microstructure derived NODDI and DTI metrics to histopathology in different grades of brain tumor. ISMRM 2016. NODDI_DTI_Hist_Eposter_ismrm16
  • Parvathaneni, P., Phillips, J., Cabrera, J.R., Shai, A., Cha, S., Chang, S., Nelson, S. and Lupo, J. NIMG-43. APPLICATION OF AN ADVANCED DIFFUSION-WEIGHTED MRI TECHNIQUE TO CHARACTERIZE GLIOMA MICROSTRUCTURE AND RELATIONSHIP TO HISTOPATHOLOGY. Society of Neuro Oncology 2016. NODDI poster_SNO_v4

Under Review

  • Parvathaneni, P., Lyu, I., Rogers, B.P., Huo, Y., Schilling, K.G., Nath. V., Hainline, A.E., Anderson, A.W., Woodward, N.D. and Landman, B.AImproved Gray Matter Surface based Spatial Statistics (N-GSBSS) in Neuroimaging Studies.(PLOS One)