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Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI.

Proceedings of SPIE--the International Society for Optical Engineering

Nath V, Schilling KG, Blaber JA, Ding Z, Anderson AW, Landman BA.
PMID: 28736471
Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. doi: 10.1117/12.2254736. Epub 2017 Feb 24.

Crossing fibers are prevalent in human brains and a subject of intense interest for neuroscience. Diffusion tensor imaging (DTI) can resolve tissue orientation but is blind to crossing fibers. Many advanced diffusion-weighted magnetic resolution imaging (MRI) approaches have been...

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Nath V, Schilling KG, Blaber JA, et al. Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI. Proc SPIE Int Soc Opt Eng. 2017;10133doi: 10.1117/12.2254736.
Nath, V., Schilling, K. G., Blaber, J. A., Ding, Z., Anderson, A. W., & Landman, B. A. (2017). Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI. Proceedings of SPIE--the International Society for Optical Engineering, 10133. https://doi.org/10.1117/12.2254736
Nath, Vishwesh, et al. "Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI." Proceedings of SPIE--the International Society for Optical Engineering vol. 10133 (2017). doi: https://doi.org/10.1117/12.2254736
Nath V, Schilling KG, Blaber JA, Ding Z, Anderson AW, Landman BA. Comparison of Multi-Fiber Reproducibility of PAS-MRI and Q-ball With Empirical Multiple b-Value HARDI. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. doi: 10.1117/12.2254736. Epub 2017 Feb 24. PMID: 28736471; PMCID: PMC5521278.
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Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology.

Proceedings of SPIE--the International Society for Optical Engineering

Chaganti S, Nabar KP, Nelson KM, Mawn LA, Landman BA, Yinger OS.
PMID: 28736474
Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10138. doi: 10.1117/12.2254618. Epub 2017 Mar 13.

We examine imaging and electronic medical records (EMR) of 588 subjects over five major disease groups that affect optic nerve function. An objective evaluation of the role of imaging and EMR data in diagnosis of these conditions would improve...

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Chaganti S, Nabar KP, Nelson KM, et al. Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology. Proc SPIE Int Soc Opt Eng. 2017;10138doi: 10.1117/12.2254618.
Chaganti, S., Nabar, K. P., Nelson, K. M., Mawn, L. A., Landman, B. A., & Yinger, O. S. (2017). Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology. Proceedings of SPIE--the International Society for Optical Engineering, 10138. https://doi.org/10.1117/12.2254618
Chaganti, Shikha, et al. "Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology." Proceedings of SPIE--the International Society for Optical Engineering vol. 10138 (2017). doi: https://doi.org/10.1117/12.2254618
Chaganti S, Nabar KP, Nelson KM, Mawn LA, Landman BA, Yinger OS. Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10138. doi: 10.1117/12.2254618. Epub 2017 Mar 13. PMID: 28736474; PMCID: PMC5521270.
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Comparing oxytocin and cortisol regulation in a double-blind, placebo-controlled, hydrocortisone challenge pilot study in children with autism and typical development.

Journal of neurodevelopmental disorders

Corbett BA, Bales KL, Swain D, Sanders K, Weinstein TA, Muglia LJ.
PMID: 27540420
J Neurodev Disord. 2016 Aug 18;8:32. doi: 10.1186/s11689-016-9165-6. eCollection 2016.

BACKGROUND: Children with autism spectrum disorder (ASD) show marked impairment in social functioning and poor adaptation to new and changing contexts, which may be influenced by underlying regulatory processes. Oxytocin (OT) and cortisol are key neuromodulators of biological and...

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Corbett BA, Bales KL, Swain D, et al. Comparing oxytocin and cortisol regulation in a double-blind, placebo-controlled, hydrocortisone challenge pilot study in children with autism and typical development. J Neurodev Disord. 2016;8:32doi: 10.1186/s11689-016-9165-6.
Corbett, B. A., Bales, K. L., Swain, D., Sanders, K., Weinstein, T. A., & Muglia, L. J. (2016). Comparing oxytocin and cortisol regulation in a double-blind, placebo-controlled, hydrocortisone challenge pilot study in children with autism and typical development. Journal of neurodevelopmental disorders, 832. https://doi.org/10.1186/s11689-016-9165-6
Corbett, Blythe A, et al. "Comparing oxytocin and cortisol regulation in a double-blind, placebo-controlled, hydrocortisone challenge pilot study in children with autism and typical development." Journal of neurodevelopmental disorders vol. 8 (2016): 32. doi: https://doi.org/10.1186/s11689-016-9165-6
Corbett BA, Bales KL, Swain D, Sanders K, Weinstein TA, Muglia LJ. Comparing oxytocin and cortisol regulation in a double-blind, placebo-controlled, hydrocortisone challenge pilot study in children with autism and typical development. J Neurodev Disord. 2016 Aug 18;8:32. doi: 10.1186/s11689-016-9165-6. eCollection 2016. PMID: 27540420; PMCID: PMC4989357.
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MTG16 is a tumor suppressor in colitis-associated carcinoma.

JCI insight

McDonough EM, Barrett CW, Parang B, Mittal MK, Smith JJ, Bradley AM, Choksi YA, Coburn LA, Short SP, Thompson JJ, Zhang B, Poindexter SV, Fischer MA, Chen X, Li J, Revetta FL, Naik R, Washington MK, Rosen MJ, Hiebert SW, Wilson KT, Williams CS.
PMID: 28814670
JCI Insight. 2017 Aug 17;2(16). doi: 10.1172/jci.insight.78210. eCollection 2017 Aug 17.

MTG16 is a member of the myeloid translocation gene (MTG) family of transcriptional corepressors. While MTGs were originally identified in chromosomal translocations in acute myeloid leukemia, recent studies have uncovered a role in intestinal biology. For example, Mtg16-/- mice...

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McDonough EM, Barrett CW, Parang B, et al. MTG16 is a tumor suppressor in colitis-associated carcinoma. JCI Insight. 2017;2(16)doi: 10.1172/jci.insight.78210.
McDonough, E. M., Barrett, C. W., Parang, B., Mittal, M. K., Smith, J. J., Bradley, A. M., Choksi, Y. A., Coburn, L. A., Short, S. P., Thompson, J. J., Zhang, B., Poindexter, S. V., Fischer, M. A., Chen, X., Li, J., Revetta, F. L., Naik, R., Washington, M. K., Rosen, M. J., Hiebert, S. W., Wilson, K. T., & Williams, C. S. (2017). MTG16 is a tumor suppressor in colitis-associated carcinoma. JCI insight, 2(16), . https://doi.org/10.1172/jci.insight.78210
McDonough, Elizabeth M, et al. "MTG16 is a tumor suppressor in colitis-associated carcinoma." JCI insight vol. 2,16 (2017). doi: https://doi.org/10.1172/jci.insight.78210
McDonough EM, Barrett CW, Parang B, Mittal MK, Smith JJ, Bradley AM, Choksi YA, Coburn LA, Short SP, Thompson JJ, Zhang B, Poindexter SV, Fischer MA, Chen X, Li J, Revetta FL, Naik R, Washington MK, Rosen MJ, Hiebert SW, Wilson KT, Williams CS. MTG16 is a tumor suppressor in colitis-associated carcinoma. JCI Insight. 2017 Aug 17;2(16). doi: 10.1172/jci.insight.78210. eCollection 2017 Aug 17. PMID: 28814670; PMCID: PMC5621889.
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Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records.

JCO clinical cancer informatics

Gregg JR, Lang M, Wang LL, Resnick MJ, Jain SK, Warner JL, Barocas DA.
PMID: 29541700
JCO Clin Cancer Inform. 2017;1. doi: 10.1200/CCI.16.00045. Epub 2017 Jun 08.

PURPOSE: Risk stratification underlies system-wide efforts to promote the delivery of appropriate prostate cancer care. Although the elements of risk stratum are available in the electronic medical record, manual data collection is resource intensive. Therefore, we investigated the feasibility...

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Gregg JR, Lang M, Wang LL, et al. Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records. JCO Clin Cancer Inform. 2017;1doi: 10.1200/CCI.16.00045.
Gregg, J. R., Lang, M., Wang, L. L., Resnick, M. J., Jain, S. K., Warner, J. L., & Barocas, D. A. (2017). Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records. JCO clinical cancer informatics, 1. https://doi.org/10.1200/CCI.16.00045
Gregg, Justin R, et al. "Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records." JCO clinical cancer informatics vol. 1 (2017). doi: https://doi.org/10.1200/CCI.16.00045
Gregg JR, Lang M, Wang LL, Resnick MJ, Jain SK, Warner JL, Barocas DA. Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records. JCO Clin Cancer Inform. 2017;1. doi: 10.1200/CCI.16.00045. Epub 2017 Jun 08. PMID: 29541700; PMCID: PMC5847303.
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Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy.

Proceedings of SPIE--the International Society for Optical Engineering

Plassard AJ, McHugo M, Heckers S, Landman BA.
PMID: 28781411
Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. doi: 10.1117/12.2254425. Epub 2017 Feb 24.

Known for its distinct role in memory, the hippocampus is one of the most studied regions of the brain. Recent advances in magnetic resonance imaging have allowed for high-contrast, reproducible imaging of the hippocampus. Typically, a trained rater takes...

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Plassard AJ, McHugo M, Heckers S, et al. Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy. Proc SPIE Int Soc Opt Eng. 2017;10133doi: 10.1117/12.2254425.
Plassard, A. J., McHugo, M., Heckers, S., & Landman, B. A. (2017). Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy. Proceedings of SPIE--the International Society for Optical Engineering, 10133. https://doi.org/10.1117/12.2254425
Plassard, Andrew J, et al. "Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy." Proceedings of SPIE--the International Society for Optical Engineering vol. 10133 (2017). doi: https://doi.org/10.1117/12.2254425
Plassard AJ, McHugo M, Heckers S, Landman BA. Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. doi: 10.1117/12.2254425. Epub 2017 Feb 24. PMID: 28781411; PMCID: PMC5544133.
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Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation.

Proceedings of SPIE--the International Society for Optical Engineering

Plassard AJ, D'Haese PF, Pallavaram S, Newton AT, Claassen DO, Dawant BM, Landman BA.
PMID: 28781412
Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. doi: 10.1117/12.2254428. Epub 2017 Feb 24.

The basal ganglia and limbic system, particularly the thalamus, putamen, internal and external globus pallidus, substantia nigra, and sub-thalamic nucleus, comprise a clinically relevant signal network for Parkinson's disease. In order to manually trace these structures, a combination of...

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Plassard AJ, D'Haese PF, Pallavaram S, et al. Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation. Proc SPIE Int Soc Opt Eng. 2017;10133doi: 10.1117/12.2254428.
Plassard, A. J., D'Haese, P. F., Pallavaram, S., Newton, A. T., Claassen, D. O., Dawant, B. M., & Landman, B. A. (2017). Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation. Proceedings of SPIE--the International Society for Optical Engineering, 10133. https://doi.org/10.1117/12.2254428
Plassard, Andrew J, et al. "Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation." Proceedings of SPIE--the International Society for Optical Engineering vol. 10133 (2017). doi: https://doi.org/10.1117/12.2254428
Plassard AJ, D'Haese PF, Pallavaram S, Newton AT, Claassen DO, Dawant BM, Landman BA. Multi-Modal and Targeted Imaging Improves Automated Mid-Brain Segmentation. Proc SPIE Int Soc Opt Eng. 2017 Feb 11;10133. doi: 10.1117/12.2254428. Epub 2017 Feb 24. PMID: 28781412; PMCID: PMC5544135.
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Phenotyping Adverse Drug Reactions: Statin-Related Myotoxicity.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Wiley LK, Moretz JD, Denny JC, Peterson JF, Bush WS.
PMID: 26306287
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:466-70. eCollection 2015.

It is unclear the extent to which best practices for phenotyping disease states from electronic medical records (EMRs) translate to phenotyping adverse drug events. Here we use statin-induced myotoxicity as a case study to identify best practices in this...

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Wiley LK, Moretz JD, Denny JC, et al. Phenotyping Adverse Drug Reactions: Statin-Related Myotoxicity. AMIA Jt Summits Transl Sci Proc. 2015;2015:466-70
Wiley, L. K., Moretz, J. D., Denny, J. C., Peterson, J. F., & Bush, W. S. (2015). Phenotyping Adverse Drug Reactions: Statin-Related Myotoxicity. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015466-70.
Wiley, Laura K, et al. "Phenotyping Adverse Drug Reactions: Statin-Related Myotoxicity." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2015 (2015): 466-70.
Wiley LK, Moretz JD, Denny JC, Peterson JF, Bush WS. Phenotyping Adverse Drug Reactions: Statin-Related Myotoxicity. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:466-70. eCollection 2015. PMID: 26306287; PMCID: PMC4525276.
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BET inhibitors reduce cell size and induce reversible cell cycle arrest in AML.

Journal of cellular biochemistry

Zhang S, Zhao Y, Heaster TM, Fischer MA, Stengel KR, Zhou X, Ramsey H, Zhou MM, Savona MR, Skala MC, Hiebert SW.
PMID: 30417424
J Cell Biochem. 2018 Nov 11; doi: 10.1002/jcb.28005. Epub 2018 Nov 11.

Inhibitors of the bromodomain and extraterminal domain family (BETi) offer a new approach to treat hematological malignancies, with leukemias containing mixed lineage leukemia rearrangements being especially sensitive due to a reliance on the regulation of transcription elongation. We explored...

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Zhang S, Zhao Y, Heaster TM, et al. BET inhibitors reduce cell size and induce reversible cell cycle arrest in AML. J Cell Biochem. 2018;doi: 10.1002/jcb.28005.
Zhang, S., Zhao, Y., Heaster, T. M., Fischer, M. A., Stengel, K. R., Zhou, X., Ramsey, H., Zhou, M. M., Savona, M. R., Skala, M. C., & Hiebert, S. W. (2018). BET inhibitors reduce cell size and induce reversible cell cycle arrest in AML. Journal of cellular biochemistry, . https://doi.org/10.1002/jcb.28005
Zhang, Susu, et al. "BET inhibitors reduce cell size and induce reversible cell cycle arrest in AML." Journal of cellular biochemistry vol. (2018). doi: https://doi.org/10.1002/jcb.28005
Zhang S, Zhao Y, Heaster TM, Fischer MA, Stengel KR, Zhou X, Ramsey H, Zhou MM, Savona MR, Skala MC, Hiebert SW. BET inhibitors reduce cell size and induce reversible cell cycle arrest in AML. J Cell Biochem. 2018 Nov 11; doi: 10.1002/jcb.28005. Epub 2018 Nov 11. PMID: 30417424; PMCID: PMC6513713.
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Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Rectal Muscles.

Proceedings of SPIE--the International Society for Optical Engineering

Chaganti S, Nelson K, Mundy K, Luo Y, Harrigan RL, Damon S, Fabbri D, Mawn L, Landman B.
PMID: 27127330
Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9784. doi: 10.1117/12.2217299. Epub 2016 Mar 21.

Pathologies of the optic nerve and orbit impact millions of Americans and quantitative assessment of the orbital structures on 3-D imaging would provide objective markers to enhance diagnostic accuracy, improve timely intervention and eventually preserve visual function. Recent studies...

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Chaganti S, Nelson K, Mundy K, et al. Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Rectal Muscles. Proc SPIE Int Soc Opt Eng. 2016;9784doi: 10.1117/12.2217299.
Chaganti, S., Nelson, K., Mundy, K., Luo, Y., Harrigan, R. L., Damon, S., Fabbri, D., Mawn, L., & Landman, B. (2016). Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Rectal Muscles. Proceedings of SPIE--the International Society for Optical Engineering, 9784. https://doi.org/10.1117/12.2217299
Chaganti, Shikha, et al. "Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Rectal Muscles." Proceedings of SPIE--the International Society for Optical Engineering vol. 9784 (2016). doi: https://doi.org/10.1117/12.2217299
Chaganti S, Nelson K, Mundy K, Luo Y, Harrigan RL, Damon S, Fabbri D, Mawn L, Landman B. Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Rectal Muscles. Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9784. doi: 10.1117/12.2217299. Epub 2016 Mar 21. PMID: 27127330; PMCID: PMC4845964.
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Combining Multi-atlas Segmentation with Brain Surface Estimation.

Proceedings of SPIE--the International Society for Optical Engineering

Huo Y, Carass A, Resnick SM, Pham DL, Prince JL, Landman BA.
PMID: 27127332
Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9784. doi: 10.1117/12.2216604. Epub 2016 Mar 21.

Whole brain segmentation (with comprehensive cortical and subcortical labels) and cortical surface reconstruction are two essential techniques for investigating the human brain. The two tasks are typically conducted independently, however, which leads to spatial inconsistencies and hinders further integrated...

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Huo Y, Carass A, Resnick SM, et al. Combining Multi-atlas Segmentation with Brain Surface Estimation. Proc SPIE Int Soc Opt Eng. 2016;9784doi: 10.1117/12.2216604.
Huo, Y., Carass, A., Resnick, S. M., Pham, D. L., Prince, J. L., & Landman, B. A. (2016). Combining Multi-atlas Segmentation with Brain Surface Estimation. Proceedings of SPIE--the International Society for Optical Engineering, 9784. https://doi.org/10.1117/12.2216604
Huo, Yuankai, et al. "Combining Multi-atlas Segmentation with Brain Surface Estimation." Proceedings of SPIE--the International Society for Optical Engineering vol. 9784 (2016). doi: https://doi.org/10.1117/12.2216604
Huo Y, Carass A, Resnick SM, Pham DL, Prince JL, Landman BA. Combining Multi-atlas Segmentation with Brain Surface Estimation. Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9784. doi: 10.1117/12.2216604. Epub 2016 Mar 21. PMID: 27127332; PMCID: PMC4845967.
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A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury.

Diagnostic and prognostic research

Smith DK, Smith LE, Billings FT, Blume JD.
PMID: 31093550
Diagn Progn Res. 2017 Dec 28;1:21. doi: 10.1186/s41512-017-0022-1. eCollection 2017.

BACKGROUND: Surrogate outcomes are often utilized when disease outcomes are difficult to directly measure. When a biological threshold effect exists, surrogate outcomes may only represent disease in specific subpopulations. We refer to these outcomes as "partial surrogate outcomes." We...

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Smith DK, Smith LE, Billings FT, et al. A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury. Diagn Progn Res. 2017;1:21doi: 10.1186/s41512-017-0022-1.
Smith, D. K., Smith, L. E., Billings, F. T., & Blume, J. D. (2017). A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury. Diagnostic and prognostic research, 121. https://doi.org/10.1186/s41512-017-0022-1
Smith, Derek K, et al. "A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury." Diagnostic and prognostic research vol. 1 (2017): 21. doi: https://doi.org/10.1186/s41512-017-0022-1
Smith DK, Smith LE, Billings FT, Blume JD. A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury. Diagn Progn Res. 2017 Dec 28;1:21. doi: 10.1186/s41512-017-0022-1. eCollection 2017. PMID: 31093550; PMCID: PMC6460789.
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Showing 25 to 36 of 473 entries