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John J. Heine, PhD

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John J. Heine, PhD

Associate Member

"Traditional breast cancer risk factors and subject history merged with risk factors derived from mammograms may result in better treatment decisions."

Office  (813) 745-6719

Education And Training
  • PhD, University of South Florida, 1996 - Engineering Science
  • MS, University of South Florida, 1993 - Physics
  • BS, University of South Florida, 1990 - Physics


Dr. Heine’s current research blends imaging physics with statistical learning methods to address unresolved issues in epidemiology with an emphasis on breast cancer risk assessments. Mammographic breast density is a significant breast cancer risk factor, not used clinically due to measurement difficulties.  Dr. Heine has made significant inroads into developing methods of calibrating mammograms to adjust for the acquisition technique differences and developing automated measures of breast density  that show strong association with breast cancer.  In parallel, Dr Heine is developing novel methods of incorporating statistical learning techniques into epidemiology for improved risk modeling. The near term objective of this discipline fusion research is to develop an automated system for data collection and analysis to enable both population and individual level risk assessments at the breast clinics within Moffitt Cancer Center.

  • Fowler EE, Lu B, Heine JJ. A comparison of calibration data from full field digital mammography units for breast density measurements. Biomed Eng Online. 2013 Nov;12(1):114. Pubmedid: 24207013. Pmcid: PMC3829208.
  • Fowler EE, Sellers TA, Lu B, Heine JJ. Breast Imaging Reporting and Data System (BI-RADS) breast composition descriptors: Automated measurement development for full field digital mammography. Med Phys. 2013 Nov;40(11):113502. Pubmedid: 24320473.
  • Behera M, Heine JJ, Sica GL, Fowler EE, Tran H, Fu RW, Gal AA, Hermann R, Mayfield W, Khuri FR, Owonikoko TK, Ramalingam SS. Survival analysis of patients with stage I non-small-cell lung cancer using clinical and DNA repair pathway expression variables. Clin Lung Cancer. 2013 Mar;14(2):128-138. Pubmedid: 22921042.
  • Vachon CM, Fowler EE, Tiffenberg G, Scott CG, Pankratz VS, Sellers TA, Heine JJ. Comparison of percent density from raw and processed full-field digital mammography data. Breast Cancer Res. 2013 Jan;15(1):R1. Pubmedid: 23289950.
  • Olson JE, Sellers TA, Scott CG, Schueler BA, Brandt KR, Serie DJ, Jensen MR, Wu FF, Morton MJ, Heine JJ, Couch FJ, Pankratz VS, Vachon CM. The influence of mammogram acquisition on the mammographic density and breast cancer association in the mayo mammography health study cohort. Breast Cancer Res. 2012 Nov;14(6):R147. Pubmedid: 23152984.
  • Heine JJ, Scott CG, Sellers TA, Brandt KR, Serie DJ, Wu FF, Morton MJ, Schueler BA, Couch FJ, Olson JE, Pankratz VS, Vachon CM. A novel automated mammographic density measure and breast cancer risk. J Natl Cancer Inst. 2012 Jul;104(13):1028-1037. Pubmedid: 22761274. Pmcid: PMC3634551.
  • Behera M, Fowler EE, Owonikoko TK, Land WH, Mayfield W, Chen Z, Khuri FR, Ramalingam SS, Heine JJ. Statistical learning methods as a preprocessing step for survival analysis: evaluation of concept using lung cancer data. Biomed Eng Online. 2012 May;10:97. Pubmedid: 22067671. Pmcid: PMC3280940.
  • Mathur R, Schaffer JD, Land WH, Heine JJ, Hernandez JM, Yeatman T. Perturbation and candidate analysis to combat overfitting of gene expression microarray data. Int J Comput Biol Drug Des. 2011 Dec;4(4):307-315. Pubmedid: 22199032.
  • Heine JJ, Fowler EE, Flowers CI. Full field digital mammography and breast density: comparison of calibrated and noncalibrated measurements. Acad Radiol. 2011 Nov;18(11):1430-1436. Pubmedid: 21971260. Pmcid: PMC3190123.
  • Heine JJ, Cao K, Rollison DE. Calibrated measures for breast density estimation. Acad Radiol. 2011 May;18(5):547-555. Pubmedid: 21371912. Pmcid: PMC3073034.
  • Heine JJ, Cao K, Rollison DE, Tiffenberg G, Thomas JA. A quantitative description of the percentage of breast density measurement using full-field digital mammography. Acad Radiol. 2011 May;18(5):556-564. Pubmedid: 21474058. Pmcid: PMC3154681.
  • Heine JJ, Land WH, Egan KM. Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression. BMC Bioinformatics. 2011 Apr;12:37. Pubmedid: 21272346. Pmcid: PMC3045299.
  • Heine JJ, Cao K, Thomas JA. Effective radiation attenuation calibration for breast density: compression thickness influences and correction. Biomed Eng Online. 2011 Apr;9:73. Pubmedid: 21080916. Pmcid: PMC3000415.
  • Heine JJ, Cao K, Beam C. Cumulative sum quality control for calibrated breast density measurements. Med Phys. 2009 Dec;36(12):5380-5390. Pubmedid: 20095250. Pmcid: PMC2787061.
  • Manduca A, Carston MJ, Heine JJ, Scott CG, Pankratz VS, Brandt KR, Sellers TA, Vachon CM, Cerhan JR. Texture features from mammographic images and risk of breast cancer. Cancer Epidemiol Biomarkers Prev. 2009 Apr;18(3):837-845. Pubmedid: 19258482. Pmcid: PMC2674983.
  • Heine JJ, Carston MJ, Scott CG, Brandt KR, Wu FF, Pankratz VS, Sellers TA, Vachon CM. An automated approach for estimation of breast density. Cancer Epidemiol Biomarkers Prev. 2008 Nov;17(11):3090-3097. Pubmedid: 18990749. Pmcid: PMC2705972.
  • Heine JJ, Thomas JA. Effective x-ray attenuation coefficient measurements from two full field digital mammography systems for data calibration applications. Biomed Eng Online. 2008 May;7:13. Pubmedid: 18373863. Pmcid: PMC2365951.
  • Heine J, Behera M. Effective x-ray attenuation measurements with full field digital mammography. Med Phys. 2006 Nov;33(11):4350-4366. Pubmedid: 17153414.
  • Heine J, Behera M. Aspects of signal-dependent noise characterization. J Opt Soc Am A Opt Image Sci Vis. 2006 Apr;23(4):806-815. Pubmedid: 16604760.
  • Kallergi M, Heine J, Berman C, Hersh M, Romilly A, Clark R. Improved interpretation of digitized mammography with wavelet processing: a localization response operating characteristic study. Ajr Am J Roentgenol. 2004;182(3):697-703. Pubmedid: 14975972.
  • Kumar N, Allen K, Riccardi D, Kazi A, Heine J. Isoflavones in breast cancer chemoprevention: where do we go from here. Front Biosci. 2004;9:2927-2934. Pubmedid: 15353326.
  • Heine J, Malhotra P. Mammographic tissue, breast cancer risk, serial image analysis, and digital mammography. Part 1. Tissue and related risk factors. Acad Radiol. 2002;9(3):298-316. Pubmedid: 11887946.
  • Heine J, Velthuizen R. Spectral analysis of full field digital mammography data. Med Phys. 2002;29(5):647-661. Pubmedid: 12033559.
  • Heine J, Malhotra P. Mammographic tissue, breast cancer risk, serial image analysis, and digital mammography. Part 2. Serial breast tissue change and related temporal influences. Acad Radiol. 2002;9(3):317-335. Pubmedid: 11887947.
  • Heine J, Velthuizen R. A statistical methodology for mammographic density detection. Med Phys. 2000;27(12):2644-2651. Pubmedid: 11190946.
  • Heine J, Deans S, Gaudadharan D, Clarke L. Mutiresolution analysis of two dimensional IIf processes: approximation methods for random variable transformation. Optical Eng J. 1999;8(9):1505-1516. Pubmedid: noPMID.
  • Heine, Deans, Velthuizen, Clarke. On the statistical nature of mammograms. Med Phys. 1999;26(11):2254-2265. Pubmedid: 10587206.
  • Heine J, Deans S, Clarke L. Multiresolution probability analysis of random fields. J Opt Soc Am. 1999;A16:6-16. Pubmedid: noPMID.
  • Heine J, Deans S. Multiresolution probability analysis of gray-scaled images. J Opt Soc Am. 1998;A15:1048-1058. Pubmedid: noPMID.
  • Heine J, Deans S, Cullers D, Stauduhar R, Clarke L. Multiresolution statistical analysis of high resolution digital mammograms. Ieee Trans Med Imag. 1997;16:503-515. Pubmedid: 9368106.
  • Kallergi M, Berman C, Heine J, Hersh M, Hooper L, Kim J, Miller M, Galbo C, Thomas J, Clark R. Effect of default display and presentation protocol on softcopy mammography. In: Digital Mammography IWDM 2002. New York, NY: Springer-Verlag; 2003;202.
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