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2011 1
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Page 1
Kernelized Bayesian Matrix Factorization.
Gönen M, Kaski S. Gönen M, et al. IEEE Trans Pattern Anal Mach Intell. 2014 Oct;36(10):2047-60. doi: 10.1109/TPAMI.2014.2313125. IEEE Trans Pattern Anal Mach Intell. 2014. PMID: 26352634
We then show that the framework can also be used for supervised and semi-supervised multilabel classification and multi-output regression, by considering samples and outputs as the domains where matrix factorization operates. ...
We then show that the framework can also be used for supervised and semi-supervised multilabel classification and multi-output regres …
Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning.
Gönen M. Gönen M. Pattern Recognit Lett. 2014 Mar 1;38:132-141. doi: 10.1016/j.patrec.2013.11.021. Pattern Recognit Lett. 2014. PMID: 24532862 Free PMC article.
We then extend the proposed method to find intrinsic dimensionality of the projected subspace using automatic relevance determination and to handle semi-supervised learning using a low-density assumption. We perform supervised learning experiments on four benchmark multila …
We then extend the proposed method to find intrinsic dimensionality of the projected subspace using automatic relevance determination and to …
Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI.
Swinburne NC, Yadav V, Murthy KNK, Elnajjar P, Shih HH, Panyam PK, Santilli A, Gutman DC, Pike L, Moss NS, Stone J, Hatzoglou V, Shah A, Juluru K, Shah SP, Holodny AI, Young RJ; M.S.K. MIND Consortium. Swinburne NC, et al. Eur Radiol. 2023 Sep;33(9):6582-6591. doi: 10.1007/s00330-023-09583-3. Epub 2023 Apr 12. Eur Radiol. 2023. PMID: 37042979 Free PMC article.
Baseline segmentation models were trained and employed within a semi-supervised learning (SSL) framework to refine the pseudo-masks. ...
Baseline segmentation models were trained and employed within a semi-supervised learning (SSL) framework to refine the pseudo-masks. …
Probabilistic machine learning for the evaluation of presurgical language dominance.
Gazit T, Andelman F, Glikmann-Johnston Y, Gonen T, Solski A, Shapira-Lichter I, Ovadia M, Kipervasser S, Neufeld MY, Fried I, Hendler T, Perry D. Gazit T, et al. J Neurosurg. 2016 Aug;125(2):481-93. doi: 10.3171/2015.7.JNS142568. Epub 2016 Jan 1. J Neurosurg. 2016. PMID: 26722848
Bilateral and right-dominant groups showed similar fMRI lateralization patterns differentiating them from the left-dominant group but still allowing classification in 82% of patients. CONCLUSIONS These findings present the utility of a semi-supervised probabilistic learnin …
Bilateral and right-dominant groups showed similar fMRI lateralization patterns differentiating them from the left-dominant group but still …
Vol-PACT: A Foundation for the NIH Public-Private Partnership That Supports Sharing of Clinical Trial Data for the Development of Improved Imaging Biomarkers in Oncology.
Dercle L, Connors DE, Tang Y, Adam SJ, Gönen M, Hilden P, Karovic S, Maitland M, Moskowitz CS, Kelloff G, Zhao B, Oxnard GR, Schwartz LH. Dercle L, et al. JCO Clin Cancer Inform. 2018 Dec;2:1-12. doi: 10.1200/CCI.17.00137. JCO Clin Cancer Inform. 2018. PMID: 30652552 Free PMC article.
The new approach in analyzing computed tomography scans was to transfer to an academic image analysis laboratory, draw contours semi-automatically by using in-house-developed algorithms integrated into the open source imaging platform Weasis, and perform serial volumetric …
The new approach in analyzing computed tomography scans was to transfer to an academic image analysis laboratory, draw contours semi- …
Proton MR spectroscopy of lesion evolution in multiple sclerosis: Steady-state metabolism and its relationship to conventional imaging.
Kirov II, Liu S, Tal A, Wu WE, Davitz MS, Babb JS, Rusinek H, Herbert J, Gonen O. Kirov II, et al. Hum Brain Mapp. 2017 Aug;38(8):4047-4063. doi: 10.1002/hbm.23647. Epub 2017 May 19. Hum Brain Mapp. 2017. PMID: 28523763 Free PMC article.
Within 10 patients with relapsing-remitting course, there were 180 regions-of-interest consisting of up to seven semi-annual follow-ups of normal-appearing white matter (NAWM, n = 10), pre-lesional tissue giving rise to acute lesions which resolved (n = 3) or persisted (n …
Within 10 patients with relapsing-remitting course, there were 180 regions-of-interest consisting of up to seven semi-annual follow-u …
Comparative Analysis of Mesenchymal Stem Cells from Bone Marrow, Adipose Tissue, and Dental Pulp as Sources of Cell Therapy for Zone of Stasis Burns.
Abbas OL, Özatik O, Gönen ZB, Öğüt S, Özatik FY, Salkın H, Musmul A. Abbas OL, et al. J Invest Surg. 2019 Sep;32(6):477-490. doi: 10.1080/08941939.2018.1433254. Epub 2018 Feb 14. J Invest Surg. 2019. PMID: 29442525
Results: Gross evaluation of burn wounds revealed that the differences between the mean percentages of the calculated necrotic areas weren't statistically significant. Semi-quantitative grading of the histopathological findings revealed that there were no significant diffe …
Results: Gross evaluation of burn wounds revealed that the differences between the mean percentages of the calculated necrotic areas weren't …
Assessing noninferiority in a three-arm trial using the Bayesian approach.
Ghosh P, Nathoo F, Gönen M, Tiwari RC. Ghosh P, et al. Stat Med. 2011 Jul 10;30(15):1795-808. doi: 10.1002/sim.4244. Epub 2011 Apr 26. Stat Med. 2011. PMID: 21520456
In this paper, we consider the analysis of non-inferiority trials using Bayesian methods which incorporate both parametric as well as semi-parametric models. The resulting testing approach is both flexible and robust. ...
In this paper, we consider the analysis of non-inferiority trials using Bayesian methods which incorporate both parametric as well as sem …