Yulei Jiang - Publications

Publications

Dr. Jiang is author or co-author of over 60 publications

1. Jiang Y, Nishikawa RM, Giger ML, Doi K, Schmidt RA, Vyborny CJ. Method of extracting signal area and signal thickness of microcalcifications from digital mammograms. Proc. SPIE 1778:28-36, 1992.

2. Nishikawa RM, Jiang Y, Giger ML, Doi K, Vyborny CJ, Schmidt RA. Computer-aided detection of clustered microcalcifications. Proc. IEEE International Conference on Systems, Man, and Cybernetics 2:1375-1378, 1992.

3. Nishikawa RM, Jiang Y, Giger ML, Vyborny CJ, Schmidt RA, Bick U. Characterization of the mammographic appearance of microcalcifications: Applications in computer-aided diagnosis. Proc. SPIE 1898:422-429, 1993.

4. Jiang Y, Nishikawa RM, Wolverton DE, Giger ML, Doi K, Schmidt RA, Vyborny CJ. Mammographic feature analysis of clustered microcalcifications for classification of breast cancer and benign breast diseases. Proc. IEEE Engineering in Medicine and Biology Society 16:594-595, 1994.

5. Nishikawa RM, Jiang Y, Giger ML, Schmidt RA, Vyborny CJ, Zhang W, Papaioannou J, Bick U, Nagel R, Doi K. Performance of automated CAD schemes for the detection and classification of clustered microcalcifications. In Gale AG, Astley SM, Dance DR, Cairns AY, Eds., Digital Mammography 13-20, Amsterdam: Elsevier, 1994.

6. Ema T, Doi K, Nishikawa RM, Jiang Y, Papaioannou J. Image feature analysis and computer-aided diagnosis in mammography: reduction of false-positive clustered microcalcifications using local edge-gradient analysis. Medical Physics 22:161-169, 1995.

7. Jiang Y, Nishikawa RM, Wolverton DE, Metz CE, Giger ML, Schmidt RA, Vyborny CJ, Doi K. Malignant and benign clustered microcalcifications: Automated feature analysis and classification. Radiology 198:671-678, 1996.

8. Jiang Y, Nishikawa RM, Wolverton DE, Schmidt RA, Vyborny CJ. Letter to the editor, Re: Radiology 198:671-678, 1996. Radiology 201:581-582, 1996.

9. Jiang Y, Metz CE, Nishikawa RM. A receiver operating characteristic partial area index for highly sensitive diagnostic tests. Radiology 201:745-750, 1996.

10. Jiang Y, Nishikawa RM, Metz CE, Wolverton DE, Schmidt RA, Papaioannou J, Doi K. A computer-aided diagnostic scheme for classification of malignant and benign clustered microcalcifications in mammograms. In Doi K, Giger ML, Nishikawa RM, Schmidt RA, Eds., Digital Mammography '96 219-224, Amsterdam: Elsevier, 1996.

11. Jiang Y, Nishikawa RM, Papaioannou J. Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications. Proc. SPIE 3338:313-317, 1998.

12. Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K. Benefits of computer-aided diagnosis in mammographic diagnosis of malignant and benign clustered microcalcifications. In Karssemeijer N, Thijssen M, Hendriks J, van Erning L, Eds., Digital Mammography 215-220, Dordrecht: Kluwer Academic Publishers, 1998.

13. Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K. Improvement in radiologists' diagnosis of malignant and benign clustered microcalcifications by the use of computer-aided diagnosis (CAD). In Doi K, MacMahon H, Giger ML, Hoffmann KR, Eds., Computer-Aided Diagnosis in Medical Imaging 233-236, Amsterdam: Elsevier, 1998.

14. Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K. Improving breast cancer diagnosis with computer-aided diagnosis. Academic Radiology 6:22-33, 1999.

15. Jiang Y. A computer-aided diagnostic scheme for classification of clustered microcalcifications in mammograms. Medical Physics 26:1018, 1999.

16. Doi K, MacMahon H, Katsuragawa S, Nishikawa RM, Jiang Y. Computer-aided diagnosis in radiology: potential and pitfalls. European Journal of Radiology 31:97-109, 1999.

17. Jiang Y, Nishikawa RM. Radiologists' ability of using computer-aided diagnosis (CAD) to improve breast biopsy recommendations. Proc. SPIE 3663:56-60, 1999.

18. Jiang Y, Nishikawa RM, Venta LL, Maloney MM, Giger ML. Computer classification of malignant and benign microcalcifications in small-field digital mammograms. In Digital Mammography (Yaffe MJ, Eds.). Madison, WI: Medical Physics Publishing, pp. 215-220, 2000.

19. Jiang Y. Classification of malignant and benign breast lesions in mammograms. In Handbook of Medical Image Processing (Bankman I, Eds.). New York: Academic Press, pp. 341-357, 2000.

20. Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Doi K. Relative gains in diagnostic accuracy between computer-aided diagnosis and independent double reading. Proc. SPIE 3981:10-15, 2000

21. Jiang Y, Nishikawa, RM, Schmidt RA, Toledano AY, Doi K. The potential of computer-aided diagnosis (CAD) to reduce variability in radiologists’ interpretation of mammograms. Radiology 220:787-794, 2001.

22. Jiang Y, Metz CE. An optimal method for combining two correlated diagnostic assessments with application to computer-aided diagnosis. Proc SPIE 4324:177-183, 2001.

23. Jiang Y, Nishikawa RM, Papaioannou J. Dependence of computer classification of clustered microcalcifications as malignant or benign on the correct detection of microcalcifications. Medical Physics 28:1949-1957, 2001.

24. Beiden SV, Wagner RF, Campbell G, Metz CE, Jiang Y. Components-of-variance models for random-effects ROC analysis: The case of unequal variance structures across modalities. Academic Radiology 8:605-615, 2001.

25. Beiden SV, Wagner RF, Campbell G, Metz CE, Jiang Y, Chan HP. Multiple-reader studies, digital mammography, computer-aided diagnosis and the Holy Grail of imaging physics (II). Proc. SPIE 4320:619-626, 2001.

26. Edwards DE, Papaioannou J, Jiang Y, Kupinski MA, Nishikawa RM. Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. Proc. SPIE 4324:1954-1960, 2001.

27. Jiang Y. Comparison of student’s t-test and the Dorfman-Berbaum-Metz (DBM) method for the statistical comparison of competing diagnostic modalities. Proc SPIE 4686:205-209, 2002.

28. Jiang Y. Computer-aided diagnosis of breast cancer in mammography: evidence and potential. Technology in Cancer Research and Treatment 1:211-216, 2002.

29. Kong J, Li XJ, Gavin D, Jiang Y, Li YC. Targeted expression of human vitamin D receptor in the skin promotes the initiation of the postnatal hair follicle cycle and rescues the alopecia in vitamin D receptor null mice. Journal of Investigative Dermatology 118:631-638, 2002.

30. Jiang Y, Nishikawa RM, Schmidt RA, D'Orsi CJ, Vyborny CJ, Giger ML, Lan L, Huo Z, Edwards AV. Comparison of BI-RADS lesion descriptors and computer-extracted image features for computer classification of malignant and benign breast lesions. In Peitgen HO, Ed., Digital Mammography 2002 Heidelberg: Springer Verlag Publishers, pp. 317-321, 2002.

31. Vyborny CJ, Kukec C, Jiang Y, Doi K. Experience with computer-aided detection in a low-volume mammography clinic. In Peitgen HO, Ed., Digital Mammography 2002 Heidelberg: Springer Verlag Publishers, pp. 387-390, 2002.

32. Jiang Y. Uncertainty in the output of artificial neural networks. IEEE Transactions on Medical Imaging 22:913-921, 2003.

33. Salfity MF, Nishikawa RM, Jiang Y, Papaioannou J. The use of a priori information to improve the detection of microcalcifications on mammograms. Medical Physics 30:823-831, 2003.

34. Jiang Y, Salfity MF, Chen V, Nishikawa RM, Papaioannou J, Edwards AV, Paquerault S. Effect of radiologists’ variability on the performance of computer classification of malignant and benign calcifications in mammograms. Proc SPIE 5034:42-47, 2003.

35. Liu B, Jiang Y. Training artificial neural networks (ANNs) with multiple target values to reduce output uncertainty. Proc SPIE 5034:433-438, 2003.

36. Paquerault S, Jiang Y, Nishikawa RM, Schmidt RA, D’Orsi CJ, Vyborny CJ. Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms. Proc SPIE 5032:802-809, 2003.

37. Liu B, Metz CE, Jiang Y. An ROC comparison of four methods of combining information from multiple images of the same patient. Medical Physics 31:2552-2563, 2004.

38. Paquerault S, Yarusso LM, Papaioannou J, Jiang Y, Nishikawa RM. Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance. Medical Physics 31:2648-2657, 2004.

39. Jiang Y, Nishikawa RM, Schmidt RA, D’Orsi CJ, Vyborny CJ, Newstead GM. Use of BI-RADS lesion descriptors in computer-aided diagnosis of malignant and benign breast lesions. Proc. SPIE 5372:199-202, 2004.

40. Jiang Y, Rana RS, Schmidt RA, Nishikawa RM, Liu B, Sennett CA, Chambliss JJ, Abe H. Computer classification of malignant and benign calcifications in full-field digital mammograms. In Pisano E, Ed., Digital Mammography 2004, (in press).

41. Nishikawa RM, Jiang Y, Reiser I. What is the required pixel size for digital mammography? In Pisano E, Ed., Digital Mammography 2004, (in press).

42. Zur RM, Jiang Y, Metz CE. Comparison of two methods of adding jitter to artificial neural network training. In Lemke HU, Vannier MW, Inamura K, Farman AG, Doi K, Reiber JHC Eds. CARS 2004 Computer Assisted Radiology and Surgery, Amsterdam: Elsevier, 886-889, 2004.

43. Wei L, Yang Y, Nishikawa RM, Jiang Y. A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Transactions on Medical Imaging 24:371-380, 2005.

44. Liu B, Metz CE, Jiang Y. Effect of correlation on combining diagnostic information from two images of the same patient. Medical Physics 32:3329-3338, 2005.

45. Liu B, Metz CE, Jiang Y. A theoretical investigation of several methods for combining multiple diagnostic assessments. Proc SPIE 5749:43-48, 2005.

46. Jiang Y, Sacks W, Metz CE. Effect of observer inattention in a detection task on ROC analysis. Proc SPIE 5749:114-117, 2005.

47. Jiang Y. A method for assessing the uncertainty in feature selection tasks. Proc SPIE 6146:614604, 2006.

48. Jiang Y, Metz CE, Nishikawa RM, Schmidt RA. Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications. Academic Radiology 13:84-94, 2006. Erratum in Academic Radiology 13:534-535, 2006.

49. Jiang Y, Metz CE. A quadratic model for combining quantitative diagnostic assessments from radiologist and computer in computer-aided diagnosis (CAD). Academic Radiology 13:140-151, 2006. Erratum in Academic Radiology 13:534, 2006.

50. Rana RS, Jiang Y, Schmidt RA, Nishikawa RM, Liu B. Independent evaluation of computer classification of malignant and benign calcifications in full-field digital mammograms. Academic Radiology 14:363-370, 2007.

51. Jiang Y, Miglioretti DL, Metz CE, Schmidt RA. Breast cancer detection rate: designing imaging trials to demonstrate improvements. Radiology 243:360-367, 2007.

52. Jiang Y, Miglioretti DL, Metz CE, Schmidt RA. Letter to the editor: Response to Dr. Ciatto, Re: Radiology 243:360-367, 2007. Radiology published online http://radiology.rsnajnls.org/cgi/eletters/243/2/360 June 2007.

53. Jiang Y, Miglioretti DL, Metz CE, Schmidt RA. Letter to the editor: Response to Dr. Kopans, Re: Radiology 243:360-367, 2007. Radiology (in press).

54. Zur RM, Pesce LL, Jiang Y, Metz CE. A Bayesian interpretation of the "proper" binormal ROC model using a uniform prior distribution for the area under the curve. Proc SPIE 6515:651524, 2007.

55. Peng Y, Jiang Y, Chuang ST, Yang XJ. Automated prostate cancer detection system using immunohistochemical images of the prostate. American Urological Association Annual Meeting 2007 (abstract).

Full CV