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Items: 36

1.

Natural history of the aging spine: a cross-sectional analysis of spinopelvic parameters in the asymptomatic population.

Attiah M, Gaonkar B, Alkhalid Y, Villaroman D, Medina R, Ahn C, Niu T, Beckett J, Ames C, Macyszyn L.

J Neurosurg Spine. 2019 Sep 27:1-6. doi: 10.3171/2019.7.SPINE181164. [Epub ahead of print]

PMID:
31561232
2.

Quantitative Analysis of Spinal Canal Areas in the Lumbar Spine: An Imaging Informatics and Machine Learning Study.

Gaonkar B, Villaroman D, Beckett J, Ahn C, Attiah M, Babayan D, Villablanca JP, Salamon N, Bui A, Macyszyn L.

AJNR Am J Neuroradiol. 2019 Sep;40(9):1586-1591. doi: 10.3174/ajnr.A6174.

PMID:
31467240
3.

Timing of adjuvant radiation therapy and survival outcomes after surgical resection of intracranial non-small cell lung cancer metastases.

Sheppard JP, Prashant GN, Chen CHJ, Peeters S, Lagman C, Ong V, Udawatta M, Duong C, Nguyen T, Romiyo P, Gaonkar B, Yong WH, Kaprealian TB, Tenn S, Lee P, Yang I.

Clin Neurol Neurosurg. 2019 Aug;183:105389. doi: 10.1016/j.clineuro.2019.105389. Epub 2019 Jun 15.

PMID:
31280101
4.

Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches.

Pham B, Gaonkar B, Whitehead W, Moran S, Dai Q, Macyszyn L, Edgerton VR.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:842-845. doi: 10.1109/EMBC.2018.8512442.

PMID:
30440523
5.

A Comparative Study of Automatic Approaches for Preclinical MRI-based Brain Segmentation in the Developing Rat.

Sargolzaei S, Cai Y, Wolahan SM, Gaonkar B, Sargolzaei A, Giza CC, Harris NG.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:652-655. doi: 10.1109/EMBC.2018.8512402.

6.

ORCHESTRAL FULLY CONVOLUTIONAL NETWORKS FOR SMALL LESION SEGMENTATION IN BRAIN MRI.

Xu B, Chai Y, Galarza CM, Vu CQ, Tamrazi B, Gaonkar B, Macyszyn L, Coates TD, Lepore N, Wood JC.

Proc IEEE Int Symp Biomed Imaging. 2018 Apr;2018:889-892. doi: 10.1109/ISBI.2018.8363714. Epub 2018 May 24.

7.

Autonomous Trajectory Planning for External Ventricular Drain Placement.

Beckett JS, Gaonkar B, Babayan D, Mathew J, McArthur D, Salamon N, Martin N, Yang I, Macyszyn L.

Oper Neurosurg (Hagerstown). 2018 Oct 1;15(4):433-439. doi: 10.1093/ons/opx285.

PMID:
30239862
8.

Planned Subtotal Resection of Vestibular Schwannoma Differs from the Ideal Radiosurgical Target Defined by Adaptive Hybrid Surgery.

Sheppard JP, Lagman C, Prashant GN, Alkhalid Y, Nguyen T, Duong C, Udawatta M, Gaonkar B, Tenn SE, Bloch O, Yang I.

World Neurosurg. 2018 Jun;114:e441-e446. doi: 10.1016/j.wneu.2018.03.005. Epub 2018 Mar 10.

PMID:
29530701
9.

Multi-Parameter Ensemble Learning for Automated Vertebral Body Segmentation in Heterogeneously Acquired Clinical MR Images.

Gaonkar B, Xia Y, Villaroman DS, Ko A, Attiah M, Beckett JS, Macyszyn L.

IEEE J Transl Eng Health Med. 2017 Jun 22;5:1800412. doi: 10.1109/JTEHM.2017.2717982. eCollection 2017.

10.

Bayesian automated cortical segmentation for neonatal MRI.

Chou Z, Paquette N, Ganesh B, Wang Y, Ceschin R, Nelson MD, Macyszyn L, Gaonkar B, Panigrahy A, Lepore N.

Proc SPIE Int Soc Opt Eng. 2017 Oct;10572. pii: 105720R. doi: 10.1117/12.2285217. Epub 2017 Nov 17.

11.

Novel Method of Measuring Canal Dehiscence and Evaluation of its Potential as a Predictor of Symptom Outcomes After Middle Fossa Craniotomy.

Lagman C, Beckett JS, Chung LK, Chen CHJ, Voth BL, Gaonkar B, Gopen Q, Yang I.

Neurosurgery. 2018 Sep 1;83(3):459-464. doi: 10.1093/neuros/nyx430.

PMID:
28945893
12.

A Method of Locating the Dehiscence during Middle Fossa Approach for Superior Semicircular Canal Dehiscence Surgery.

Beckett JS, Chung LK, Lagman C, Voth BL, Jacky Chen CH, Gaonkar B, Gopen Q, Yang I.

J Neurol Surg B Skull Base. 2017 Aug;78(4):353-358. doi: 10.1055/s-0037-1601886. Epub 2017 Apr 18.

13.

Exploring intentions of physician-scientist trainees: factors influencing MD and MD/PhD interest in research careers.

Kwan JM, Daye D, Schmidt ML, Conlon CM, Kim H, Gaonkar B, Payne AS, Riddle M, Madera S, Adami AJ, Winter KQ.

BMC Med Educ. 2017 Jul 11;17(1):115. doi: 10.1186/s12909-017-0954-8.

14.

Isolated Transverse Process Fractures and Markers of Associated Injuries: The Experience at University of California, Los Angeles.

Bui TT, Nagasawa DT, Lagman C, Jacky Chen CH, Chung LK, Voth BL, Beckett JS, Tucker AM, Niu T, Gaonkar B, Yang I, Macyszyn L.

World Neurosurg. 2017 Aug;104:82-88. doi: 10.1016/j.wneu.2017.04.137. Epub 2017 Apr 28.

PMID:
28461275
15.

Computerized Assessment of Superior Semicircular Canal Dehiscence Size using Advanced Morphological Imaging Operators.

Beckett JS, Lagman C, Chung LK, Bui TT, Lee SJ, Voth BL, Gaonkar B, Gopen Q, Yang I.

J Neurol Surg B Skull Base. 2017 Apr;78(2):197-200. doi: 10.1055/s-0036-1594241. Epub 2016 Dec 7.

16.

Isolated Transverse Process Fractures: A Systematic Analysis.

Nagasawa DT, Bui TT, Lagman C, Lee SJ, Chung LK, Niu T, Tucker A, Gaonkar B, Yang I, Macyszyn L.

World Neurosurg. 2017 Apr;100:336-341. doi: 10.1016/j.wneu.2017.01.032. Epub 2017 Jan 18. Review.

PMID:
28108423
17.

United States Medical Licensing Examination Step 1 Scores Directly Correlate with American Board of Neurological Surgery Scores: A Single-Institution Experience.

Nagasawa DT, Beckett JS, Lagman C, Chung LK, Schmidt B, Safaee M, Bergsneider M, Martin N, Gaonkar B, Macyszyn L, Yang I.

World Neurosurg. 2017 Feb;98:427-431. doi: 10.1016/j.wneu.2016.11.091. Epub 2016 Nov 24.

PMID:
27890766
18.

Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample.

Sankar A, Zhang T, Gaonkar B, Doshi J, Erus G, Costafreda SG, Marangell L, Davatzikos C, Fu CH.

BJPsych Open. 2016 Jul 1;2(4):247-254. eCollection 2016 Jul.

19.

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.

Linn KA, Gaonkar B, Satterthwaite TD, Doshi J, Davatzikos C, Shinohara RT.

Neuroimage. 2016 May 15;132:157-166. doi: 10.1016/j.neuroimage.2016.02.044. Epub 2016 Feb 23.

20.

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.

Bakas S, Zeng K, Sotiras A, Rathore S, Akbari H, Gaonkar B, Rozycki M, Pati S, Davatzikos C.

Brainlesion. 2016;9556:144-155. doi: 10.1007/978-3-319-30858-6_1.

21.

Addressing Confounding in Predictive Models with an Application to Neuroimaging.

Linn KA, Gaonkar B, Doshi J, Davatzikos C, Shinohara RT.

Int J Biostat. 2016 May 1;12(1):31-44. doi: 10.1515/ijb-2015-0030.

22.

CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns.

Dong A, Honnorat N, Gaonkar B, Davatzikos C.

IEEE Trans Med Imaging. 2016 Feb;35(2):612-21. doi: 10.1109/TMI.2015.2487423. Epub 2015 Oct 6.

23.

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging.

Gaonkar B, T Shinohara R, Davatzikos C; Alzheimers Disease Neuroimaging Initiative.

Med Image Anal. 2015 Aug;24(1):190-204. doi: 10.1016/j.media.2015.06.008. Epub 2015 Jun 25.

24.

Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response.

Ashraf A, Gaonkar B, Mies C, DeMichele A, Rosen M, Davatzikos C, Kontos D.

Transl Oncol. 2015 Jun;8(3):154-62. doi: 10.1016/j.tranon.2015.03.005.

25.

Automated tumor volumetry using computer-aided image segmentation.

Gaonkar B, Macyszyn L, Bilello M, Sadaghiani MS, Akbari H, Atthiah MA, Ali ZS, Da X, Zhan Y, O'Rourke D, Grady SM, Davatzikos C.

Acad Radiol. 2015 May;22(5):653-661. doi: 10.1016/j.acra.2015.01.005. Epub 2015 Mar 12.

26.

Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy.

Ou Y, Weinstein SP, Conant EF, Englander S, Da X, Gaonkar B, Hsieh MK, Rosen M, DeMichele A, Davatzikos C, Kontos D.

Magn Reson Med. 2015 Jun;73(6):2343-56. doi: 10.1002/mrm.25368. Epub 2014 Jul 15.

27.

CLASSIFYING MEDICAL IMAGES USING MORPHOLOGICAL APPEARANCE MANIFOLDS.

Varol E, Gaonkar B, Davatzikos C.

Proc IEEE Int Symp Biomed Imaging. 2013 Dec 31;2013:744-747.

28.

Multi-atlas skull-stripping.

Doshi J, Erus G, Ou Y, Gaonkar B, Davatzikos C.

Acad Radiol. 2013 Dec;20(12):1566-76. doi: 10.1016/j.acra.2013.09.010.

29.

Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification.

Gaonkar B, Davatzikos C.

Neuroimage. 2013 Sep;78:270-83. doi: 10.1016/j.neuroimage.2013.03.066. Epub 2013 Apr 10.

30.

Deriving statistical significance maps for SVM based image classification and group comparisons.

Gaonkar B, Davatzikos C.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):723-30.

31.

Deriving statistical significance maps for support vector regression using medical imaging data.

Gaonkar B, Sotiras A, Davatzikos C.

Int Workshop Pattern Recognit Neuroimaging. 2013;2013:13-16.

32.

A composite multivariate polygenic and neuroimaging score for prediction of conversion to Alzheimer's disease.

Filipovych R, Gaonkar B, Davatzikos C.

Int Workshop Pattern Recognit Neuroimaging. 2012:105-108.

33.

FEATURE RANKING BASED NESTED SUPPORT VECTOR MACHINE ENSEMBLE FOR MEDICAL IMAGE CLASSIFICATION.

Varol E, Gaonkar B, Erus G, Schultz R, Davatzikos C.

Proc IEEE Int Symp Biomed Imaging. 2012:146-149.

34.

Pattern based morphometry.

Gaonkar B, Pohl K, Davatzikos C.

Med Image Comput Comput Assist Interv. 2011;14(Pt 2):459-66.

35.

AUTOMATED SEGMENTATION OF CORTICAL NECROSIS USING A WAVELET BASED ABNORMALITY DETECTION SYSTEM.

Gaonkar B, Erus G, Pohl KM, Tanwar M, Margiewicz S, Bryan RN, Davatzikos C.

Proc IEEE Int Symp Biomed Imaging. 2011 Mar;2011:1391-1395. Epub 2011 Jun 9.

36.

Gaonkar's maneuver for treating allergic asthma, allergic rhinitis, and chronic sinusitis.

Gaonkar BN, Gaonkar SN.

J Asthma. 1985;22(2):93-7. No abstract available.

PMID:
4019398

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