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Items: 1 to 50 of 78

1.

Classifying cancer pathology reports with hierarchical self-attention networks.

Gao S, Qiu JX, Alawad M, Hinkle JD, Schaefferkoetter N, Yoon HJ, Christian B, Fearn PA, Penberthy L, Wu XC, Coyle L, Tourassi G, Ramanathan A.

Artif Intell Med. 2019 Nov;101:101726. doi: 10.1016/j.artmed.2019.101726. Epub 2019 Oct 15.

2.

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.

Alawad M, Gao S, Qiu JX, Yoon HJ, Blair Christian J, Penberthy L, Mumphrey B, Wu XC, Coyle L, Tourassi G.

J Am Med Inform Assoc. 2019 Nov 9. pii: ocz153. doi: 10.1093/jamia/ocz153. [Epub ahead of print]

PMID:
31710668
3.

AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing.

Bhattacharya T, Brettin T, Doroshow JH, Evrard YA, Greenspan EJ, Gryshuk AL, Hoang TT, Lauzon CBV, Nissley D, Penberthy L, Stahlberg E, Stevens R, Streitz F, Tourassi G, Xia F, Zaki G.

Front Oncol. 2019 Oct 2;9:984. doi: 10.3389/fonc.2019.00984. eCollection 2019. Review.

4.

Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records.

Savova GK, Danciu I, Alamudun F, Miller T, Lin C, Bitterman DS, Tourassi G, Warner JL.

Cancer Res. 2019 Nov 1;79(21):5463-5470. doi: 10.1158/0008-5472.CAN-19-0579. Epub 2019 Aug 8. Review.

PMID:
31395609
5.

Harnessing the Power of Collaboration and Training Within Clinical Data Science to Generate Real-World Evidence in the Era of Precision Oncology.

Rivera DR, Lee JSH, Hsu E, Khoury MJ, Meng F, Olivero O, Penberthy L, Tourassi GD.

Clin Pharmacol Ther. 2019 Jul;106(1):60-66. doi: 10.1002/cpt.1459. Epub 2019 Jun 5. No abstract available.

PMID:
31166005
6.

CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules.

Hengartner N, Cuellar L, Wu XC, Tourassi G, Qiu J, Christian B, Bhattacharya T.

BMC Bioinformatics. 2018 Dec 21;19(Suppl 18):485. doi: 10.1186/s12859-018-2503-9.

7.

Scalable deep text comprehension for Cancer surveillance on high-performance computing.

Qiu JX, Yoon HJ, Srivastava K, Watson TP, Blair Christian J, Ramanathan A, Wu XC, Fearn PA, Tourassi GD.

BMC Bioinformatics. 2018 Dec 21;19(Suppl 18):488. doi: 10.1186/s12859-018-2511-9.

8.

Modeling sequential context effects in diagnostic interpretation of screening mammograms.

Alamudun F, Paulus P, Yoon HJ, Tourassi G.

J Med Imaging (Bellingham). 2018 Jul;5(3):031408. doi: 10.1117/1.JMI.5.3.031408. Epub 2018 Mar 19.

9.

Hierarchical attention networks for information extraction from cancer pathology reports.

Gao S, Young MT, Qiu JX, Yoon HJ, Christian JB, Fearn PA, Tourassi GD, Ramanthan A.

J Am Med Inform Assoc. 2017 Nov 16. doi: 10.1093/jamia/ocx131. [Epub ahead of print]

PMID:
29155996
10.

Letter to the Editor: Use of Publicly Available Image Resources.

Armato SG 3rd, Drukker K, Li F, Hadjiiski L, Tourassi GD, Engelmann RM, Giger ML, Redmond G, Farahani K, Kirby JS, Petrick NA.

Acad Radiol. 2017 Jul;24(7):916-917. doi: 10.1016/j.acra.2017.03.015. Epub 2017 May 11. No abstract available.

PMID:
28506513
11.

Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports.

Qiu JX, Yoon HJ, Fearn PA, Tourassi GD.

IEEE J Biomed Health Inform. 2018 Jan;22(1):244-251. doi: 10.1109/JBHI.2017.2700722. Epub 2017 May 3.

PMID:
28475069
12.

Fractal analysis of visual search activity for mass detection during mammographic screening.

Alamudun F, Yoon HJ, Hudson KB, Morin-Ducote G, Hammond T, Tourassi GD.

Med Phys. 2017 Mar;44(3):832-846. doi: 10.1002/mp.12100. Epub 2017 Feb 21.

PMID:
28079249
13.

LUNGx Challenge for computerized lung nodule classification.

Armato SG 3rd, Drukker K, Li F, Hadjiiski L, Tourassi GD, Engelmann RM, Giger ML, Redmond G, Farahani K, Kirby JS, Clarke LP.

J Med Imaging (Bellingham). 2016 Oct;3(4):044506. doi: 10.1117/1.JMI.3.4.044506. Epub 2016 Dec 19.

14.

Investigating the Association Between Sociodemographic Factors and Lung Cancer Risk Using Cyber Informatics.

Yoon HJ, Tourassi G.

IEEE EMBS Int Conf Biomed Health Inform. 2016 Feb;2016:557-560. Epub 2016 Apr 21.

15.

A novel web informatics approach for automated surveillance of cancer mortality trends.

Tourassi G, Yoon HJ, Xu S.

J Biomed Inform. 2016 Jun;61:110-8. doi: 10.1016/j.jbi.2016.03.027. Epub 2016 Apr 1.

16.

Predicting Lung Cancer Incidence from Air Pollution Exposures Using Shapelet-based Time Series Analysis.

Yoon HJ, Xu S, Tourassi G.

IEEE EMBS Int Conf Biomed Health Inform. 2016 Feb;2016:565-568. doi: 10.1109/BHI.2016.7455960. Epub 2016 Apr 21.

17.

Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment.

Liu Y, Xu S, Tourassi G.

Soc Comput Behav Cult Model Predict (2015). 2015 Mar-Apr;9021:121-130. Epub 2015 Mar 17.

18.

Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources.

Yoon HJ, Tourassi G, Xu S.

Soc Comput Behav Cult Model Predict (2015). 2015 Mar-Apr;9021:464-469. Epub 2015 Mar 17.

19.

The utility of web mining for epidemiological research: studying the association between parity and cancer risk.

Tourassi G, Yoon HJ, Xu S, Han X.

J Am Med Inform Assoc. 2016 May;23(3):588-95. doi: 10.1093/jamia/ocv141. Epub 2015 Nov 27.

20.

LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.

Armato SG 3rd, Hadjiiski L, Tourassi GD, Drukker K, Giger ML, Li F, Redmond G, Farahani K, Kirby JS, Clarke LP.

J Med Imaging (Bellingham). 2015 Apr;2(2):020103. doi: 10.1117/1.JMI.2.2.020103. No abstract available.

21.

Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory.

Yoon HJ, Tourassi G.

Annu ORNL Biomed Sci Eng Cent Conf. 2014 May;2014. doi: 10.1109/BSEC.2014.6867744.

22.

Extracting patient demographics and personal medical information from online health forums.

Liu Y, Xu S, Yoon HJ, Tourassi G.

AMIA Annu Symp Proc. 2014 Nov 14;2014:1825-34. eCollection 2014.

23.

Comparative analysis of data collection methods for individualized modeling of radiologists' visual similarity judgments in mammograms.

Tourassi G, Yoon HJ, Xu S, Morin-Ducote G, Hudson K.

Acad Radiol. 2013 Nov;20(11):1371-80. doi: 10.1016/j.acra.2013.08.002.

PMID:
24119349
24.

Predicting diagnostic error in radiology via eye-tracking and image analytics: preliminary investigation in mammography.

Voisin S, Pinto F, Morin-Ducote G, Hudson KB, Tourassi GD.

Med Phys. 2013 Oct;40(10):101906. doi: 10.1118/1.4820536.

PMID:
24089908
25.

A user-oriented web crawler for selectively acquiring online content in e-health research.

Xu S, Yoon HJ, Tourassi G.

Bioinformatics. 2014 Jan 1;30(1):104-14. doi: 10.1093/bioinformatics/btt571. Epub 2013 Sep 29.

26.

Evaluation of computer-aided detection and diagnosis systems.

Petrick N, Sahiner B, Armato SG 3rd, Bert A, Correale L, Delsanto S, Freedman MT, Fryd D, Gur D, Hadjiiski L, Huo Z, Jiang Y, Morra L, Paquerault S, Raykar V, Samuelson F, Summers RM, Tourassi G, Yoshida H, Zheng B, Zhou C, Chan HP.

Med Phys. 2013 Aug;40(8):087001. doi: 10.1118/1.4816310.

27.

Investigating the link between radiologists' gaze, diagnostic decision, and image content.

Tourassi G, Voisin S, Paquit V, Krupinski E.

J Am Med Inform Assoc. 2013 Nov-Dec;20(6):1067-75. doi: 10.1136/amiajnl-2012-001503. Epub 2013 Jun 20.

28.

A cost-effective, case-control study on the association between breast cancer and pregnancy through web mining.

Yoon HJ, Xu S, Tourassi G.

Annu ORNL Biomed Sci Eng Cent Conf. 2013 May;2013:1-4.

29.

Transforming epidemiology for 21st century medicine and public health.

Khoury MJ, Lam TK, Ioannidis JP, Hartge P, Spitz MR, Buring JE, Chanock SJ, Croyle RT, Goddard KA, Ginsburg GS, Herceg Z, Hiatt RA, Hoover RN, Hunter DJ, Kramer BS, Lauer MS, Meyerhardt JA, Olopade OI, Palmer JR, Sellers TA, Seminara D, Ransohoff DF, Rebbeck TR, Tourassi G, Winn DM, Zauber A, Schully SD.

Cancer Epidemiol Biomarkers Prev. 2013 Apr;22(4):508-16. doi: 10.1158/1055-9965.EPI-13-0146. Epub 2013 Mar 5.

30.

Identifying error-making patterns in assessment of mammographic BI-RADS descriptors among radiology residents using statistical pattern recognition.

Mazurowski MA, Barnhart HX, Baker JA, Tourassi GD.

Acad Radiol. 2012 Jul;19(7):865-71. doi: 10.1016/j.acra.2012.01.012. Epub 2012 Mar 27.

PMID:
22459643
31.

The effect of class imbalance on case selection for case-based classifiers: an empirical study in the context of medical decision support.

Malof JM, Mazurowski MA, Tourassi GD.

Neural Netw. 2012 Jan;25(1):141-5. doi: 10.1016/j.neunet.2011.07.002. Epub 2011 Jul 18.

32.

Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis.

Mazurowski MA, Lo JY, Harrawood BP, Tourassi GD.

J Biomed Inform. 2011 Oct;44(5):815-23. doi: 10.1016/j.jbi.2011.04.008. Epub 2011 May 1.

33.

Comparative analysis of instance selection algorithms for instance-based classifiers in the context of medical decision support.

Mazurowski MA, Malof JM, Tourassi GD.

Phys Med Biol. 2011 Jan 21;56(2):473-89. doi: 10.1088/0031-9155/56/2/012. Epub 2010 Dec 30.

PMID:
21191152
34.

Exploring the potential of context-sensitive CADe in screening mammography.

Tourassi GD, Mazurowski MA, Harrawood BP, Krupinski EA.

Med Phys. 2010 Nov;37(11):5728-36.

35.

Individualized computer-aided education in mammography based on user modeling: concept and preliminary experiments.

Mazurowski MA, Baker JA, Barnhart HX, Tourassi GD.

Med Phys. 2010 Mar;37(3):1152-60.

36.

Methodology for generating a 3D computerized breast phantom from empirical data.

Li CM, Segars WP, Tourassi GD, Boone JM, Dobbins JT 3rd.

Med Phys. 2009 Jul;36(7):3122-31.

38.
39.

Near-Field High-Energy Spectroscopic Gamma Imaging Using a Rotation Modulation Collimator.

Sharma AC, Turkington TG, Tourassi GD, Floyd CE Jr.

Nucl Instrum Methods Phys Res B. 2008 Nov;266(22):4938-47. doi: 10.1016/j.nimb.2008.07.036.

40.

Selection of examples in case-based computer-aided decision systems.

Mazurowski MA, Zurada JM, Tourassi GD.

Phys Med Biol. 2008 Nov 7;53(21):6079-96. doi: 10.1088/0031-9155/53/21/013. Epub 2008 Oct 14.

41.

Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach.

Singh S, Tourassi GD, Baker JA, Samei E, Lo JY.

Med Phys. 2008 Aug;35(8):3626-36.

42.

Experimental detection of iron overload in liver through neutron stimulated emission spectroscopy.

Kapadia AJ, Tourassi GD, Sharma AC, Crowell AS, Kiser MR, Howell CR.

Phys Med Biol. 2008 May 21;53(10):2633-49. doi: 10.1088/0031-9155/53/10/013. Epub 2008 Apr 28.

PMID:
18443387
43.

Evaluating the effect of image preprocessing on an information-theoretic CAD system in mammography.

Tourassi GD, Ike R 3rd, Singh S, Harrawood B.

Acad Radiol. 2008 May;15(5):626-34. doi: 10.1016/j.acra.2007.12.013.

44.

Neutron-stimulated emission computed tomography of a multi-element phantom.

Floyd CE Jr, Kapadia AJ, Bender JE, Sharma AC, Xia JQ, Harrawood BP, Tourassi GD, Lo JY, Crowell AS, Kiser MR, Howell CR.

Phys Med Biol. 2008 May 7;53(9):2313-26. doi: 10.1088/0031-9155/53/9/008. Epub 2008 Apr 17.

PMID:
18421119
45.

Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance.

Mazurowski MA, Habas PA, Zurada JM, Lo JY, Baker JA, Tourassi GD.

Neural Netw. 2008 Mar-Apr;21(2-3):427-36. doi: 10.1016/j.neunet.2007.12.031. Epub 2007 Dec 27. Erratum in: Neural Netw. 2008 May;21(4):698.

46.

Decision optimization of case-based computer-aided decision systems using genetic algorithms with application to mammography.

Mazurowski MA, Habas PA, Zurada JM, Tourassi GD.

Phys Med Biol. 2008 Feb 21;53(4):895-908. doi: 10.1088/0031-9155/53/4/005. Epub 2008 Jan 16.

PMID:
18263947
47.

Breast cancer detection using neutron stimulated emission computed tomography: prominent elements and dose requirements.

Bender JE, Kapadia AJ, Sharma AC, Tourassi GD, Harrawood BP, Floyd CE Jr.

Med Phys. 2007 Oct;34(10):3866-71.

PMID:
17985632
48.

Probabilistic framework for reliability analysis of information-theoretic CAD systems in mammography.

Habas PA, Zurada JM, Elmaghraby AS, Tourassi GD.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:6113-6.

PMID:
17946741
49.

Significance of MPEG-7 textural features for improved mass detection in mammography.

Eltonsy NH, Tourassi GD, Fadeev A, Elmaghraby AS.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:4779-82.

PMID:
17946650
50.

Neutron stimulated emission computed tomography: a Monte Carlo simulation approach.

Sharma AC, Harrawood BP, Bender JE, Tourassi GD, Kapadia AJ.

Phys Med Biol. 2007 Oct 21;52(20):6117-31. Epub 2007 Oct 1.

PMID:
17921575

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