顿颈蝉蝉别谤迟补迟颈辞苍:听
Advisor:听Hakmook Kang
Distinguished Teaching Assistant, 2017
Publications
Vanderbilt Biostatistics faculty/staff denoted in italics.
Franco G, Trujillo P, Lopez AM, Aumann MA, Englot DJ, Hainline A, Kang H, Konrad PE, Dawant BM, Claassen DO, Bick SK. Structural brain differences in essential tremor and Parkinson's disease deep brain stimulation patients. J Clin Neurosci. 2023 Sep;115:121-128. doi: 10.1016/j.jocn.2023.08.001. Epub 2023 Aug 5. PMID: 37549435; PMCID: PMC10530137.
Bermudez C, Rodriguez W, Huo Y, Hainline AE, Li R, Shults R, D'Haese PD, Konrad PE, Dawant BM, Landman BA. Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps. Proc SPIE Int Soc Opt Eng. 2019 Mar;10949:1094922. doi: 10.1117/12.2509728. PMID: 31602087; PMCID: PMC6786774.
Hansen CB, Nath V, Hainline AE, Schilling KG, Parvathaneni P, Bayrak RG, Blaber JA, Williams O, Resnick S, Beason-Held L, Irfanoglu O, Pierpaoli C, Anderson AW, Rogers BP, Landman BA. Consideration of Cerebrospinal Fluid Intensity Variation in Diffusion Weighted MRI. Proc SPIE Int Soc Opt Eng. 2019 Mar;10948:109482G. doi: 10.1117/12.2512949. PMID: 31602086; PMCID: PMC6786778.
Nath V, Schilling KG, Parvathaneni P, Hansen CB, Hainline AE, Huo Y, Blaber JA, Lyu I, Janve V, Gao Y, Stepniewska I, Anderson AW, Landman BA. Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI. Magn Reson Imaging. 2019 Oct;62:220-227. doi: 10.1016/j.mri.2019.07.012. Epub 2019 Jul 16. PMID: 31323317; PMCID: PMC6748654.
Nath V, Schilling KG, Parvathaneni P, Huo Y, Blaber JA, Hainline AE, Barakovic M, Romascano D, Rafael-Patino J, Frigo M, Girard G, Thiran JP, Daducci A, Rowe M, Rodrigues P, Pr膷kovska V, Aydogan DB, Sun W, Shi Y, Parker WA, Ould Ismail AA, Verma R, Cabeen RP, Toga AW, Newton AT, Wasserthal J, Neher P, Maier-Hein K, Savini G, Palesi F, Kaden E, Wu Y, He J, Feng Y, Paquette M, Rheault F, Sidhu J, Lebel C, Leemans A, Descoteaux M, Dyrby TB, Kang H, Landman BA. Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge. J Magn Reson Imaging. 2020 Jan;51(1):234-249. doi: 10.1002/jmri.26794. Epub 2019 Jun 9. PMID: 31179595; PMCID: PMC6900461.
Parvathaneni P, Lyu I, Huo Y, Rogers BP, Schilling KG, Nath V, Blaber JA, Hainline AE, Anderson AW, Woodward ND, Landman BA. Improved gray matter surface based spatial statistics in neuroimaging studies. Magn Reson Imaging. 2019 Sep;61:285-295. doi: 10.1016/j.mri.2019.05.016. Epub 2019 May 22. PMID: 31128227; PMCID: PMC6689417.
Hainline AE, Nath V, Parvathaneni P, Schilling KG, Blaber JA, Anderson AW, Kang H, Landman BA. A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging. Magn Reson Imaging. 2019 Jun;59:130-136. doi: 10.1016/j.mri.2019.03.021. Epub 2019 Mar 26. PMID: 30926560; PMCID: PMC6818965.
Parvathaneni P, Bao S, Hainline A, Huo Y, Schilling KG, Kang H, Williams O, Woodward ND, Resnick SM, Zald DH, Lyu I, Landman BA. Harmonization of White and Gray Matter Features in Diffusion Microarchitecture for Cross-Sectional Studies. Comput Aided Interv Diagn Clin Med Images (2019). 2019;31:21-29. doi: 10.1007/978-3-030-04061-1_3. Epub 2019 Jan 2. PMID: 40171224; PMCID: PMC11959572.
Nath V, Parvathaneni P, Hansen CB, Hainline AE, Bermudez C, Remedios S, Blaber JA, Schilling KG, Lyu I, Janve V, Gao Y, Stepniewska I, Rogers BP, Newton AT, Davis LT, Luci J, Anderson AW, Landman BA. Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. Comput Diffus MRI. 2019;2019:193-201. Epub 2019 May 3. PMID: 34456460; PMCID: PMC8388262.
Hansen CB, Nath V, Hainline AE, Schilling KG, Parvathaneni P, Bayrak RG, Blaber JA, Irfanoglu O, Pierpaoli C, Anderson AW, Rogers BP, Landman BA. Characterization and correlation of signal drift in diffusion weighted MRI. Magn Reson Imaging. 2019 Apr;57:133-142. doi: 10.1016/j.mri.2018.11.009. Epub 2018 Nov 22. PMID: 30468766; PMCID: PMC7074846.
Parvathaneni P, Lyu I, Huo Y, Blaber J, Hainline AE, Kang H, Woodward ND, Landman BA. Constructing Statistically Unbiased Cortical Surface Templates Using Feature-Space Covariance. Proc SPIE Int Soc Opt Eng. 2018 Mar;10574:1057406. doi: 10.1117/12.2293641. PMID: 29887664; PMCID: PMC5992907.
Hainline AE, Nath V, Parvathaneni P, Blaber J, Rogers B, Newton A, Luci J, Edmonson H, Kang H, Landman BA. Evaluation of inter-site bias and variance in diffusion-weighted MRI. Proc SPIE Int Soc Opt Eng. 2018 Mar;10574:1057413. doi: 10.1117/12.2293735. PMID: 29887662; PMCID: PMC5991622.
Nath V, Schilling KG, Hainline AE, Parvathaneni P, Blaber JA, Lyu I, Anderson AW, Kang H, Newton AT, Rogers BP, Landman BA. SHARD: Spherical Harmonic-based Robust Outlier Detection for HARDI Methods. Proc SPIE Int Soc Opt Eng. 2018 Mar;10574:105740X. doi: 10.1117/12.2293727. PMID: 29887661; PMCID: PMC5991608.
Nath V, Schilling KG, Parvathaneni P, Blaber J, Hainline AE, Ding Z, Anderson A, Landman BA. Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI. J Med Imaging (Bellingham). 2018 Jan;5(1):014005. doi: 10.1117/1.JMI.5.1.014005. Epub 2018 Mar 6. PMID: 29531965; PMCID: PMC5838516.
Parvathaneni P, Nath V, Blaber JA, Schilling KG, Hainline AE, Mojahed E, Anderson AW, Landman BA. Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO. Magn Reson Imaging. 2018 Jul;50:96-109. doi: 10.1016/j.mri.2018.03.004. Epub 2018 Mar 8. PMID: 29526642; PMCID: PMC5970991.
Hainline AE, Nath V, Parvathaneni P, Blaber JA, Schilling KG, Anderson AW, Kang H, Landman BA. Empirical single sample quantification of bias and variance in Q-ball imaging. Magn Reson Med. 2018 Oct;80(4):1666-1675. doi: 10.1002/mrm.27115. Epub 2018 Feb 6. PMID: 29411435; PMCID: PMC6078828.
Kang H, Hainline A, Arlinghaus LR, Elderidge S, Li X, Abramson VG, Chakravarthy AB, Abramson RG, Bingham B, Fakhoury K, Yankeelov TE. Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results. J Med Imaging (Bellingham). 2018 Jan;5(1):011015. doi: 10.1117/1.JMI.5.1.011015. Epub 2017 Dec 29. PMID: 29322067; PMCID: PMC5747275.
Parvathaneni P, Rogers BP, Huo Y, Schilling KG, Hainline AE, Anderson AW, Woodward ND, Landman BA. Gray Matter Surface based Spatial Statistics (GS-BSS) in Diffusion Microstructure. Med Image Comput Comput Assist Interv. 2017 Sep;10433:638-646. doi: 10.1007/978-3-319-66182-7_73. Epub 2017 Sep 4. PMID: 29226284; PMCID: PMC5722235.
Virostko J, Hainline A, Kang H, Arlinghaus LR, Abramson RG, Barnes SL, Blume JD, Avery S, Patt D, Goodgame B, Yankeelov TE, Sorace AG. Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis. J Med Imaging (Bellingham). 2018 Jan;5(1):011011. doi: 10.1117/1.JMI.5.1.011011. Epub 2017 Nov 24. PMID: 29201942; PMCID: PMC5701084.
Abramson RG, Lakomkin N, Hainline A, Kang H, Hutson MS, Arteaga CL. The Attenuation Distribution Across the Long Axis of Breast Cancer Liver Metastases at CT: A Quantitative Biomarker for Predicting Overall Survival. AJR Am J Roentgenol. 2018 Jan;210(1):W1-W7. doi: 10.2214/AJR.17.18249. Epub 2017 Oct 24. PMID: 29064750.
Greco B, Hainline A, Arbet J, Grinde K, Benitez A, Tintle N. A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures. Eur J Hum Genet. 2016 May;24(5):767-73. doi: 10.1038/ejhg.2015.194. Epub 2015 Oct 28. PMID: 26508571; PMCID: PMC4930097.
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