Wu, C.C., D'Ardenne, N.M., Nishikawa, R.M., & Wolfe, J.M. (2020). Gist processing in digital breast tomosynthesis. J Med Imaging (Bellingham), 7(2), 022403.SPIE, the international society for optics and photonics. doi: 10.1117/1.JMI.7.2.022403.
Lee, J., & Nishikawa, R.M. (2018). Automated mammographic breast density estimation using a fully convolutional network. Med Phys, 45(3), 1178-1190.Wiley. doi: 10.1002/mp.12763.
Lee, J., Nishikawa, R.M., Reiser, I., & Boone, J.M. (2018). Neutrosophic segmentation of breast lesions for dedicated breast computed tomography. J Med Imaging (Bellingham), 5(1), 014505.SPIE, the international society for optics and photonics. doi: 10.1117/1.JMI.5.1.014505.
Nishikawa, R.M., & Bae, K.T. (2018). Importance of Better Human-Computer Interaction in the Era of Deep Learning: Mammography Computer-Aided Diagnosis as a Use Case. J Am Coll Radiol, 15(1 Pt A), 49-52.Elsevier. doi: 10.1016/j.jacr.2017.08.027.
Sainz de Cea, M.V., Nishikawa, R.M., & Yang, Y. (2018). Locally adaptive decision in detection of clustered microcalcifications in mammograms. Phys Med Biol, 63(4), 045014.IOP Publishing. doi: 10.1088/1361-6560/aaaa4c.
Chakraborty, D.P., Nishikawa, R.M., & Orton, C.G. (2017). Due to potential concerns of bias and conflicts of interest, regulatory bodies should not do evaluation methodology research related to their regulatory missions. Med Phys, 44(9), 4403-4406.Wiley. doi: 10.1002/mp.12373.
Lee, J., Nishikawa, R.M., Reiser, I., & Boone, J.M. (2017). Optimal reconstruction and quantitative image features for computer-aided diagnosis tools for breast CT. Med Phys, 44(5), 1846-1856.Wiley. doi: 10.1002/mp.12214.
Lee, J., Nishikawa, R.M., Reiser, I., Zuley, M.L., & Boone, J.M. (2017). Lack of agreement between radiologists: implications for image-based model observers. J Med Imaging (Bellingham), 4(2), 025502.SPIE, the international society for optics and photonics. doi: 10.1117/1.JMI.4.2.025502.
Sainz de Cea, M.V., Nishikawa, R.M., & Yang, Y. (2017). Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications. IEEE Trans Med Imaging, 36(5), 1162-1171.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMI.2017.2654799.
Wang, J., Nishikawa, R.M., & Yang, Y. (2017). Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography. Med Phys, 44(7), 3726-3738.Wiley. doi: 10.1002/mp.12316.
Wang, J., Nishikawa, R.M., & Yang, Y. (2017). Global detection approach for clustered microcalcifications in mammograms using a deep learning network. J Med Imaging (Bellingham), 4(2), 024501.SPIE, the international society for optics and photonics. doi: 10.1117/1.JMI.4.2.024501.
Reiser, I., Lau, B., & Nishikawa, R.M. (2016). Tomosynthesis system modeling. In Tomosynthesis Imaging. (pp. 81-97).
Wang, J., Nishikawa, R.M., & Yang, Y. (2016). Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model. Med Phys, 43(1), 159.Wiley. doi: 10.1118/1.4938059.
Wu, S., Berg, W.A., Zuley, M.L., Kurland, B.F., Jankowitz, R.C., Nishikawa, R., Gur, D., & Sumkin, J.H. (2016). Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer. Breast Cancer Res, 18(1), 76.Springer Nature. doi: 10.1186/s13058-016-0734-0.
de Sisternes, L., Brankov, J.G., Zysk, A.M., Schmidt, R.A., Nishikawa, R.M., & Wernick, M.N. (2015). A computational model to generate simulated three-dimensional breast masses. Med Phys, 42(2), 1098-1118.Wiley. doi: 10.1118/1.4905232.
Gur, D., Nishikawa, R.M., & Sumkin, J.H. (2015). New screening technologies and practices: a different approach to estimation of performance improvement by using data from the transition period. Radiology, 275(1), 9-12.Radiological Society of North America (RSNA). doi: 10.1148/radiol.14141843.
Lee, J., Nishikawa, R.M., Reiser, I., Boone, J.M., & Lindfors, K.K. (2015). Local curvature analysis for classifying breast tumors: Preliminary analysis in dedicated breast CT. Med Phys, 42(9), 5479-5489.Wiley. doi: 10.1118/1.4928479.
Tanaka, R., Takamori, M., Uchiyama, Y., Nishikawa, R.M., & Shiraishi, J. (2015). Using breast radiographers' reports as a second opinion for radiologists' readings of microcalcifications in digital mammography. Br J Radiol, 88(1047), 20140565.Oxford University Press (OUP). doi: 10.1259/bjr.20140565.
Nishikawa, R.M., & Gur, D. (2014). CADe for early detection of breast cancer-current status and why we need to continue to explore new approaches. Acad Radiol, 21(10), 1320-1321.Elsevier. doi: 10.1016/j.acra.2014.05.018.
Wang, J., Jing, H., Wernick, M.N., Nishikawa, R.M., & Yang, Y. (2014). Analysis of perceived similarity between pairs of microcalcification clusters in mammograms. Med Phys, 41(5), 051904.Wiley. doi: 10.1118/1.4870959.
Altman, M.B., Flynn, M.J., Nishikawa, R.M., Chetty, I.J., Barton, K.N., Movsas, B., Kim, J.H., & Brown, S.L. (2013). The potential of iodine for improving breast cancer diagnosis and treatment. Med Hypotheses, 80(1), 94-98.Elsevier. doi: 10.1016/j.mehy.2012.10.018.
Chen, X., Nishikawa, R.M., Chan, S.T., Lau, B.A., Zhang, L., & Mou, X. (2013). Algorithmic scatter correction in dual-energy digital mammography. Med Phys, 40(11), 111919.Wiley. doi: 10.1118/1.4826173.
D'Orsi, C.J., Getty, D.J., Pickett, R.M., Sechopoulos, I., Newell, M.S., Gundry, K.R., Bates, S.R., Nishikawa, R.M., Sickles, E.A., Karellas, A., & D'Orsi, E.M. (2013). Stereoscopic digital mammography: improved specificity and reduced rate of recall in a prospective clinical trial. Radiology, 266(1), 81-88.Radiological Society of North America (RSNA). doi: 10.1148/radiol.12120382.
Nishikawa, R.M. (2013). Computer-aided Detection of Masses at Mammography: Interactive Decision Support Versus Prompts Hupse R, Samulski M, Lobbes MB, et al (Radboud Univ Nijmegen Med Centre, the Netherlands; Maastricht Univ Med Ctr, the Netherlands; et al) Radiology 266:123-129, 2013§. Breast Diseases A Year Book Quarterly, 24(3), 227-228.Elsevier. doi: 10.1016/j.breastdis.2013.07.023.
Nishikawa, R.M., & Pesce, L.L. (2013). Estimating sensitivity and specificity for technology assessment based on observer studies. Acad Radiol, 20(7), 825-830.Elsevier. doi: 10.1016/j.acra.2013.03.008.
Reiser, I., Edwards, A., & Nishikawa, R.M. (2013). Validation of a power-law noise model for simulating small-scale breast tissue. Phys Med Biol, 58(17), 6011-6027.IOP Publishing. doi: 10.1088/0031-9155/58/17/6011.
Cole, E.B., Zhang, Z., Marques, H.S., Nishikawa, R.M., Hendrick, R.E., Yaffe, M.J., Padungchaichote, W., Kuzmiak, C., Chayakulkheeree, J., Conant, E.F., Fajardo, L.L., Baum, J., Gatsonis, C., & Pisano, E. (2012). Assessing the stand-alone sensitivity of computer-aided detection with cancer cases from the Digital Mammographic Imaging Screening Trial. AJR Am J Roentgenol, 199(3), W392-W401.American Roentgen Ray Society. doi: 10.2214/AJR.11.7255.
Jing, H., Yang, Y., & Nishikawa, R.M. (2012). Regularization in retrieval-driven classification of clustered microcalcifications for breast cancer. Int J Biomed Imaging, 2012(1), 463408.Hindawi. doi: 10.1155/2012/463408.
Jing, H., Yang, Y., & Nishikawa, R.M. (2012). Retrieval boosted computer-aided diagnosis of clustered microcalcifications for breast cancer. Med Phys, 39(2), 676-685.Wiley. doi: 10.1118/1.3675600.
Jing, H., Yang, Y., Wernick, M.N., Yarusso, L.M., & Nishikawa, R.M. (2012). A comparison study of image features between FFDM and film mammogram images. Med Phys, 39(7), 4386-4394.Wiley. doi: 10.1118/1.4729740.
Lau, B.A., Reiser, I., Nishikawa, R.M., & Bakic, P.R. (2012). A statistically defined anthropomorphic software breast phantom. Med Phys, 39(6), 3375-3385.Wiley. doi: 10.1118/1.4718576.
Nishikawa, R.M., Fenton, J.J., & Orton, C.G. (2012). Point/counterpoint: computer-aided detection should be used routinely to assist screening mammogram interpretation. Med Phys, 39(9), 5305-5307.Wiley. doi: 10.1118/1.3694117.
Nishikawa, R.M., Giger, M.L., Jiang, Y., & Metz, C.E. (2012). Re: effectiveness of computer-aided detection in community mammography practice. J Natl Cancer Inst, 104(1), 77.Oxford University Press (OUP). doi: 10.1093/jnci/djr492.
Nishikawa, R.M., Schmidt, R.A., Linver, M.N., Edwards, A.V., Papaioannou, J., & Stull, M.A. (2012). Clinically missed cancer: how effectively can radiologists use computer-aided detection?. AJR Am J Roentgenol, 198(3), 708-716.American Roentgen Ray Society. doi: 10.2214/AJR.11.6423.
Reiser, I., Nishikawa, R.M., Giger, M.L., Boone, J.M., Lindfors, K.K., & Yang, K. (2012). Automated detection of mass lesions in dedicated breast CT: a preliminary study. Med Phys, 39(2), 866-873.Wiley. doi: 10.1118/1.3678991.
Jing, H., Yang, Y., & Nishikawa, R.M. (2011). Detection of clustered microcalcifications using spatial point process modeling. Phys Med Biol, 56(1), 1-17.IOP Publishing. doi: 10.1088/0031-9155/56/1/001.
Nishikawa, R.M. (2011). Mammographic Features of Breast Cancers at Single Reading with Computer-aided Detection and at Double Reading in a Large Multicenter Prospective Trial of Computer-aided Detection: CADET II James JJ, Gilbert FJ, Wallis MG, et al (Univ of Aberdeen, Scotland) Radiology 256:379-386, 2010§. Breast Diseases A Year Book Quarterly, 22(2), 139-140.Elsevier. doi: 10.1016/j.breastdis.2011.03.030.
Nishikawa, R.M., & Pesce, L.L. (2011). Fundamental limitations in developing computer-aided detection for mammography. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 648(SUPPL. 1), S251-S254.Elsevier. doi: 10.1016/j.nima.2010.11.086.
Reiser, I., Lee, S., & Nishikawa, R.M. (2011). On the orientation of mammographic structure. Med Phys, 38(10), 5303-5306.Wiley. doi: 10.1118/1.3633905.
Lubinsky, A.R., Johnson, J.A., Schweizer, S., Weber, J.K.R., Nishikawa, R.M., Domenicali, P., & Fantone, S.D. (2010). Scanning translucent glass-ceramic x-ray storage phosphors. Proc SPIE Int Soc Opt Eng, 7622(PART 3), 76223W.SPIE, the international society for optics and photonics. doi: 10.1117/12.843346.
Oto, A., Kulkarni, K., Nishikawa, R., & Baron, R.L. (2010). Contrast enhancement of hepatic hemangiomas on multiphase MDCT: Can we diagnose hepatic hemangiomas by comparing enhancement with blood pool?. AJR Am J Roentgenol, 195(2), 381-386.American Roentgen Ray Society. doi: 10.2214/AJR.09.3324.
Reiser, I., & Nishikawa, R.M. (2010). Task-based assessment of breast tomosynthesis: effect of acquisition parameters and quantum noise. Med Phys, 37(4), 1591-1600.Wiley. doi: 10.1118/1.3357288.
Engstrom, E., Reiser, I., & Nishikawa, R. (2009). Comparison of power spectra for tomosynthesis projections and reconstructed images. Med Phys, 36(5), 1753-1758.Wiley. doi: 10.1118/1.3116774.
Nishikawa, R.M., & Pesce, L.L. (2009). Computer-aided detection evaluation methods are not created equal. Radiology, 251(3), 634-636.Radiological Society of North America (RSNA). doi: 10.1148/radiol.2513081130.
Nishikawa, R.M., Acharyya, S., Gatsonis, C., Pisano, E.D., Cole, E.B., Marques, H.S., D'Orsi, C.J., Farria, D.M., Kanal, K.M., Mahoney, M.C., Rebner, M., Staiger, M.J., & Digital Mammography Image Screening Trial investigator group. (2009). Comparison of soft-copy and hard-copy reading for full-field digital mammography. Radiology, 251(1), 41-49.Radiological Society of North America (RSNA). doi: 10.1148/radiol.2511071462.
Sidky, E.Y., Pan, X., Reiser, I.S., Nishikawa, R.M., Moore, R.H., & Kopans, D.B. (2009). Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms. Med Phys, 36(11), 4920-4932.Wiley. doi: 10.1118/1.3232211.
Wei, L., Yang, Y., & Nishikawa, R.M. (2009). Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis. Pattern Recognit, 42(6), 1126-1132.Elsevier. doi: 10.1016/j.patcog.2008.08.028.
Wei, L., Yang, Y., Wernick, M.N., & Nishikawa, R.M. (2009). Learning of Perceptual Similarity From Expert Readers for Mammogram Retrieval. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 3(1), 53-61.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JSTSP.2008.2011159.
Reiser, I., Nishikawa, R.M., Edwards, A.V., Kopans, D.B., Schmidt, R.A., Papaioannou, J., & Moore, R.H. (2008). Automated detection of microcalcification clusters for digital breast tomosynthesis using projection data only: a preliminary study. Med Phys, 35(4), 1486-1493.Wiley. doi: 10.1118/1.2885366.
Nishikawa, R.M. (2007). Current status and future directions of computer-aided diagnosis in mammography. Comput Med Imaging Graph, 31(4-5), 224-235.Elsevier. doi: 10.1016/j.compmedimag.2007.02.009.
Nishikawa, R.M., Schmidt, R.A., & Metz, C.E. (2007). Computer-aided screening mammography. N Engl J Med, 357(1), 84.
Rana, R.S., Jiang, Y., Schmidt, R.A., Nishikawa, R.M., & Liu, B. (2007). Independent evaluation of computer classification of malignant and benign calcifications in full-field digital mammograms. Acad Radiol, 14(3), 363-370.Elsevier. doi: 10.1016/j.acra.2006.12.012.
Chen, G., Johnson, J., Weber, R., Nishikawa, R., Schweizer, S., Newman, P., & MacFarlane, D. (2006). Fluorozirconate-based nanophase glass ceramics for high-resolution medical X-ray imaging. Journal of Non-Crystalline Solids, 352(6-7), 610-614.Elsevier. doi: 10.1016/j.jnoncrysol.2005.11.048.
Jiang, Y., Metz, C.E., Nishikawa, R.M., & Schmidt, R.A. (2006). Comparison of Independent Double Readings and Computer-Aided Diagnosis (CAD) for the Diagnosis of Breast Calcifications. Academic Radiology, 13(4), 534-535.Elsevier. doi: 10.1016/j.acra.2006.02.048.
Jiang, Y., Nishikawa, R.M., Schmidt, R.A., & Metz, C.E. (2006). Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications. Acad Radiol, 13(1), 84-94.Elsevier. doi: 10.1016/j.acra.2005.09.086.
Nishikawa, R.M. (2006). Computer-aided detection, in its present form, is not an effective aid for screening mammography. For the proposition. Med Phys, 33(4), 811-812.Wiley. doi: 10.1118/1.2168063.
Nishikawa, R.M., Edwards, A.V., Schmidt, R.A., Papaioannou, J., & Linver, M.N. (2006). Measuring radiologists' ability to recognized correct computer prompts. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 1(SUPPL. 7), 329-330.
Reiser, I., & Nishikawa, R.M. (2006). Identification of simulated microcalcifications in white noise and mammographic backgrounds. Med Phys, 33(8), 2905-2911.Wiley. doi: 10.1118/1.2210566.
Reiser, I., Nishikawa, R.M., Giger, M.L., Wu, T., Rafferty, E.A., Moore, R., & Kopans, D.B. (2006). Computerized mass detection for digital breast tomosynthesis directly from the projection images. Med Phys, 33(2), 482-491.Wiley. doi: 10.1118/1.2163390.
Suri, J.S., Rangayyan, R.M., Reiser, I., & Nishikawa, R. (2006). Computerized Mass Detection for Digital Breast Tomosynthesis. In Recent Advances in Breast Imaging, Mammography, and Computer-Aided Diagnosis of Breast Cancer. (pp. 409-428).SPIE, the international society for optics and photonics. doi: 10.1117/3.651880.ch12.
Suri, J.S., Rangayyan, R.M., Suri, J., Chandrasekhar, R., Lanconelli, N., Campanini, R., Roffilli, M., Chang, R.F., Guo, Y., Sivaramakrishna, R., Tot, T., Acha, B., Serrano, C., Reiser, I., Nishikawa, R., Wu, D., Wong, K.P., Kshirsagar, A., Sun, Y., Wirth, M., Cao, A., Desautels, J.E., & Rangayyan, R. (2006). The Current Status and Likely Future of Breast Imaging CAD. In Recent Advances in Breast Imaging, Mammography, and Computer-Aided Diagnosis of Breast Cancer. (pp. 901-961).SPIE, the international society for optics and photonics. doi: 10.1117/3.651880.ch28.
Edwards, D.C., Metz, C.E., & Nishikawa, R.M. (2005). The hypervolume under the ROC hypersurface of "near-guessing" and "near-perfect" observers in N-class classification tasks. IEEE Trans Med Imaging, 24(3), 293-299.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tmi.2004.841227.
Nishikawa, R. (2005). TU‐D‐I‐609‐02: What to Expect When CAD Is Implemented Clinically. Medical Physics, 32(6Part16), 2093-2094.Wiley. doi: 10.1118/1.1999708.
Nishikawa, R. (2005). TU‐D‐I‐609‐01: Overview. Medical Physics, 32(6Part16), 2093.Wiley. doi: 10.1118/1.1998388.
Reiser, I., Nishikawa, R., Giger, M., Rafferty, E., Moore, R., Kopans, D., & Wu, T. (2005). SU‐EE‐A2‐02: Efficient Automatic Pre‐Selection of Mass Lesion Candidates in DBT Breast Volumes. Medical Physics, 32(6Part2), 1897.Wiley. doi: 10.1118/1.1997454.
Reiser, I., Nishikawa, R.M., Giger, M.L., Kopans, D.B., Rafferty, E.A., Wu, T., & Moore, R. (2005). A multi-scale 3D radial gradient filter for computerized mass detection in digital tomosynthesis breast images. International Congress Series, 1281, 1058-1062.Elsevier. doi: 10.1016/j.ics.2005.03.171.
Wei, L., Yang, Y., Nishikawa, R.M., & Jiang, Y. (2005). A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Trans Med Imaging, 24(3), 371-380.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tmi.2004.842457.
Wei, L., Yang, Y., Nishikawa, R.M., Wernick, M.N., & Edwards, A. (2005). Relevance vector machine for automatic detection of clustered microcalcifications. IEEE Trans Med Imaging, 24(10), 1278-1285.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMI.2005.855435.
Edwards, D.C., Lan, L., Metz, C.E., Giger, M.L., & Nishikawa, R.M. (2004). Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions. Med Phys, 31(1), 81-90.Wiley. doi: 10.1118/1.1631912.
El-Naqa, I., Yang, Y., Galatsanos, N.P., Nishikawa, R.M., & Wernick, M.N. (2004). A similarity learning approach to content-based image retrieval: application to digital mammography. IEEE Trans Med Imaging, 23(10), 1233-1244.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMI.2004.834601.
Paquerault, S., Yarusso, L.M., Papaioannou, J., Jiang, Y., & Nishikawa, R.M. (2004). Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance. Med Phys, 31(9), 2648-2657.Wiley. doi: 10.1118/1.1767692.
Reiser, I., Nishikawa, R.M., Giger, M.L., Wu, T., Rafferty, E., Moore, R.H., & Kopans, D.B. (2004). Computerized detection of mass lesions in digital breast tomosynthesis images using two- and three dimensional radial gradient index segmentation. Technol Cancer Res Treat, 3(5), 437-441.SAGE Publications. doi: 10.1177/153303460400300504.
Wilkie, J.R., Giger, M.L., Chinander, M.R., Vokes, T.J., Nishikawa, R.M., & Carlin, M.D. (2004). Investigation of physical image quality indices of a bone densitometry system. Med Phys, 31(4), 873-881.Wiley. doi: 10.1118/1.1650528.
Zhang, Y., & Nishikawa, R.M. (2004). Computer simulation of mammographic imaging for applications in CAD. International Congress Series, 1268(C), 890-895.Elsevier. doi: 10.1016/j.ics.2004.03.222.
Salfity, M.F., Nishikawa, R.M., Jiang, Y., & Papaioannou, J. (2003). The use of a priori information in the detection of mammographic microcalcifications to improve their classification. Med Phys, 30(5), 823-831.Wiley. doi: 10.1118/1.1559884.
Beiden, S.V., Wagner, R.F., Doi, K., Nishikawa, R.M., Freedman, M., Lo, S.C.B., & Xu, X.W. (2002). Independent versus sequential reading in ROC studies of computer-assist modalities: analysis of components of variance. Acad Radiol, 9(9), 1036-1043.Elsevier. doi: 10.1016/s1076-6332(03)80479-8.
Edwards, D.C., Kupinski, M.A., Metz, C.E., & Nishikawa, R.M. (2002). Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model. Med Phys, 29(12), 2861-2870.Wiley. doi: 10.1118/1.1524631.
El-Naqa, I., Yang, Y., Wernick, M.N., Galatsanos, N.P., & Nishikawa, R.M. (2002). A support vector machine approach for detection of microcalcifications. IEEE Trans Med Imaging, 21(12), 1552-1563.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMI.2002.806569.
Nishikawa, R. (2002). Assessment of the performance of computer-aided diagnosis and computer-aided diagnosis systems. Seminars in Breast Disease, 5(4), 217-222.
Jiang, Y., Nishikawa, R.M., & Papaioannou, J. (2001). Dependence of computer classification of clustered microcalcifications on the correct detection of microcalcifications. Med Phys, 28(9), 1949-1957.Wiley. doi: 10.1118/1.1397715.
Jiang, Y., Nishikawa, R.M., Schmidt, R.A., Toledano, A.Y., & Doi, K. (2001). Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology, 220(3), 787-794.Radiological Society of North America (RSNA). doi: 10.1148/radiol.220001257.
Nishikawa, R.M. (2001). Evaluation of computer-aided detection and computer detection systems. Applied Radiology, 30(11 SUPPL.), 14-16.
Pisano, E.D., Cole, E.B., Major, S., Zong, S., Hemminger, B.M., Muller, K.E., Johnston, R.E., Walsh, R., Conant, E., Fajardo, L.L., Feig, S.A., Nishikawa, R.M., Yaffe, M.J., Williams, M.B., & Aylward, S.R. (2000). Radiologists' preferences for digital mammographic display. The International Digital Mammography Development Group. Radiology, 216(3), 820-830.Radiological Society of North America (RSNA). doi: 10.1148/radiology.216.3.r00se48820.
Vyborny, C.J., Giger, M.L., & Nishikawa, R.M. (2000). Computer-aided detection and diagnosis of breast cancer. Radiol Clin North Am, 38(4), 725-740.Elsevier. doi: 10.1016/s0033-8389(05)70197-4.
Anastasio, M.A., Kupinski, M.A., Nishikawa, R.M., & Giger, M.L. (1999). Multiobjective approach to optimizing compterized detection schemes. IEEE Nuclear Science Symposium and Medical Imaging Conference, 3, 1879-1883.
Doi, K., MacMahon, H., Katsuragawa, S., Nishikawa, R.M., & Jiang, Y. (1999). Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol, 31(2), 97-109.Elsevier. doi: 10.1016/s0720-048x(99)00016-9.
Hamed, S.S., Gleason, S.S., & Nishikawa, R.M. (1999). Front-end data reduction in computer-aided diagnosis of mammograms: A pilot study. Proceedings of SPIE - The International Society for Optical Engineering, 3661(II), 1535-1543.
Jiang, Y., & Nishikawa, R.M. (1999). Radiologists' ability of using computer-aided diagnosis (CAD) to improve breast biopsy recommendations. Proceedings of SPIE - The International Society for Optical Engineering, 3663, 56-60.
Jiang, Y., Nishikawa, R.M., Schmidt, R.A., Metz, C.E., Giger, M.L., & Doi, K. (1999). Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol, 6(1), 22-33.Elsevier. doi: 10.1016/s1076-6332(99)80058-0.
Nishikawa, R.M. (1999). Computer-aided diagnosis complements full-field digital mammography. Diagn Imaging (San Franc), 21(9), 47-75.
Anastasio, M.A., Yoshida, H., Nagel, R., Nishikawa, R.M., & Doi, K. (1998). A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms. Med Phys, 25(9), 1613-1620.Wiley. doi: 10.1118/1.598341.
Nagel, R.H., Nishikawa, R.M., Papaioannou, J., & Doi, K. (1998). Analysis of methods for reducing false positives in the automated detection of clustered microcalcifications in mammograms. Med Phys, 25(8), 1502-1506.Wiley. doi: 10.1118/1.598326.
Nishikawa, R.M. (1998). Mammographic databases. Breast Dis, 10(3-4), 137-150.SAGE Publications. doi: 10.3233/bd-1998-103-414.
Zhang, W., Yoshida, H., Nishikawa, R.M., & Doi, K. (1998). Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms. Med Phys, 25(6), 949-956.Wiley. doi: 10.1118/1.598273.
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Sidky, E.Y., Reiser, I.S., Nishikawa, R.M., & Pan, X. (2014). Enhancing tissue structures with iterative image reconstruction for digital breast tomosynthesis. In Whiting, B.R., & Hoeschen, C. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 9033, (p. 90330w-90330w-9).SPIE, the international society for optics and photonics. doi: 10.1117/12.2043776.
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Reiser, I., Lau, B.A., Nishikawa, R.M., & Bakic, P.R. (2012). A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom. In Lecture Notes in Computer Science, 7361, (pp. 141-148).Springer Nature. doi: 10.1007/978-3-642-31271-7_19.
Reiser, I., Lu, Z., & Nishikawa, R. (2012). TH‐E‐217BCD‐01: Contrast‐To‐Noise Ratio Is Not an Appropriate Measure of CT Image Quality When Comparing Different Iterative Reconstruction Algorithms. In Medical Physics, 39(6Part31), (p. 4014).Wiley. doi: 10.1118/1.4736374.
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Lau, B.A., Reiser, I., & Nishikawa, R.M. (2011). Issues in characterizing anatomic structure in digital breast tomosynthesis. In Pelc, N.J., Samei, E., & Nishikawa, R.M. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 7961, (p. 796113-796113-8).SPIE, the international society for optics and photonics. doi: 10.1117/12.878871.
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Bakic, P.R., Lau, B., Carton, A.K., Reiser, I., Maidment, A.D.A., & Nishikawa, R.M. (2010). An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections. In Lecture Notes in Computer Science, 6136, (pp. 452-458).Springer Nature. doi: 10.1007/978-3-642-13666-5_61.
Lau, B., Bakic, P., Reiser, I., Carton, A., Maidment, A., & Nishikawa, R. (2010). TH‐D‐201B‐08: An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Reconstructions. In Medical Physics, 37(6Part7), (p. 3473).Wiley. doi: 10.1118/1.3469567.
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Fredenberg, E., Cederström, B., Lundqvist, M., Ribbing, C., Åslund, M., Diekmann, F., Nishikawa, R., & Danielsson, M. (2008). Contrast-enhanced dual-energy subtraction imaging using electronic spectrum-splitting and multi-prism x-ray lenses. In Hsieh, J., & Samei, E. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 6913, (p. 691310-691310-12).SPIE, the international society for optics and photonics. doi: 10.1117/12.770501.
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Sidky, E.Y., Reiser, I., Nishikawa, R.M., Pan, X., Chartrand, R., Kopans, D.B., & Moore, R.H. (2008). Practical iterative image reconstruction in digital breast tomosynthesis by non-convex TpV optimization. In Hsieh, J., & Samei, E. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 6913, (p. 691328-691328-6).SPIE, the international society for optics and photonics. doi: 10.1117/12.772796.
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Chinander, M.R., Nishikawa, R.M., & Seifi, P. (2007). Observer evaluation of a method for producing simulated mammograms. In Hsieh, J., & Flynn, M.J. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 6510(PART 1), (p. 651004-651004-11).SPIE, the international society for optics and photonics. doi: 10.1117/12.713862.
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Reiser, I., Nishikawa, R.M., Sidky, E.Y., Chinander, M.R., & Seifi, P. (2007). Development of a model for breast tomosynthesis image acquisition. In Hsieh, J., & Flynn, M.J. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 6510(PART 2), (p. 65103d-65103d-8).SPIE, the international society for optics and photonics. doi: 10.1117/12.713752.
Sidky, E.Y., Reiser, I.S., Nishikawa, R., & Pan, X. (2007). Image reconstruction in digital breast tomosynthesis by total variation minimization. In Hsieh, J., & Flynn, M.J. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 6510(PART 2), (p. 651027-651027-6).SPIE, the international society for optics and photonics. doi: 10.1117/12.713663.
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Nishikawa, R.M., Edwards, A., Schmidt, R.A., Papaioannou, J., & Linver, M.N. (2006). Can radiologists recognize that a computer has identified cancers that they have overlooked?. In Jiang, Y., & Eckstein, M.P. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 6146, (p. 614601-614601-8).SPIE, the international society for optics and photonics. doi: 10.1117/12.656351.
Reiser, I., Sidky, E.Y., Nishikawa, R.M., & Pan, X. (2006). Development of an analytic breast phantom for quantitative comparison of reconstruction algorithms for digital breast tomosynthesis. In DIGITAL MAMOGRAPHY, PROCEEDINGS, 4046, (pp. 190-196).Springer Nature. doi: 10.1007/11783237_27.
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Wei, L., Yang, Y., Nishikawa, R.M., & Jiang, Y. (2005). A study of several CAD methods for classification of clustered microcalcifications. In Fitzpatrick, J.M., & Reinhardt, J.M. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 5747(I), (pp. 1-8).SPIE, the international society for optics and photonics. doi: 10.1117/12.594734.
Drukker, K., Edwards, D.C., Giger, M.L., Nishikawa, R.M., & Metz, C.E. (2004). Computerized detection and 3-way classification of breast lesions on ultrasound images. In Fitzpatrick, J.M., & Sonka, M. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 5370, (pp. 1034-1041).SPIE, the international society for optics and photonics. doi: 10.1117/12.534339.
Edwards, D.C., Metz, C.E., & Nishikawa, R.M. (2004). Hypervolume under the ROC hypersurface of a near-guessing ideal observer in a three-class classification task. In Chakraborty, D.P., & Eckstein, M.P. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 5372(26), (pp. 128-137).SPIE, the international society for optics and photonics. doi: 10.1117/12.536068.
Jiang, Y., Schmidt, R.A., Nishikawa, R.M., D'Orsi, C.J., Vyborny, C.J., & Newstead, G.M. (2004). Use of BI-RADS lesion descriptors in computer-aided diagnosis of malignant and benign breast lesions. In Chakraborty, D.P., & Eckstein, M.P. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 5372(26), (pp. 199-202).SPIE, the international society for optics and photonics. doi: 10.1117/12.537183.
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Reiser, I.S., Sidky, E.Y., Giger, M.L., Nishikawa, R.M., Rafferty, E.A., Kopans, D.B., Moore, R., & Wu, T. (2004). A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast. In Fitzpatrick, J.M., & Sonka, M. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 5370, (pp. 833-838).SPIE, the international society for optics and photonics. doi: 10.1117/12.535901.
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Jiang, Y., Salfity, M.F., Chen, V., Nishikawa, R.M., Papaioannou, J., Edwards, A.V., & Paquerault, S. (2003). Effect of radiologists' variability on the performance of computer classification of malignant and benign clustered microcalcifications in mammograms. In Chakraborty, D.P., & Krupinski, E.A. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 5034, (pp. 42-47).SPIE, the international society for optics and photonics. doi: 10.1117/12.480360.
Maidment, A.D.A., Albert, M., Bunch, P.C., Cunningham, I.A., Dobbins, J.T., Gagne, R.M., Nishikawa, R.M., Van Metter, R.L., & Wagner, R.F. (2003). Standardization of NPS measurement: interim report of AAPM TG16. In Yaffe, M.J., & Antonuk, L.E. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 5030, (pp. 523-532).SPIE, the international society for optics and photonics. doi: 10.1117/12.480451.
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Paquerault, S., Jiang, Y., Nishikawa, R.M., Schmidt, R.A., D'Orsi, C.J., Vyborny, C.J., & Newstead, G.M. (2003). Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms. In Sonka, M., & Fitzpatrick, J.M. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 5032, (pp. 802-809).SPIE, the international society for optics and photonics. doi: 10.1117/12.480847.
Beiden, S.V., Wagner, R.F., Doi, K., Nishikawa, R.M., Freedman, M.T., Lo, S.C.B., & Xu, X.W. (2002). Independent versus sequential reading in ROC studies of computer-assist modalities. In Chakraborty, D.P., & Krupinski, E.A. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 4686, (pp. 198-204).SPIE, the international society for optics and photonics. doi: 10.1117/12.462678.
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