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Papers Published

1. JA Baker, JY Lo, Breast tomosynthesis: state-of-the-art and review of the literature., Academic radiology, vol. 18 no. 10 (October, 2011), pp. 1298-310 [doi] .
2. MA Mazurowski, JY Lo, BP Harrawood, GD Tourassi, Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis., Journal of biomedical informatics, vol. 44 no. 5 (October, 2011), pp. 815-23 [doi]  [abs].
3. V Chanyavanich, SK Das, WR Lee, JY Lo, Knowledge-based IMRT treatment planning for prostate cancer., Medical physics, vol. 38 no. 5 (May, 2011), pp. 2515-22  [abs].
4. LJ Webb, E Samei, JY Lo, JA Baker, SV Ghate, C Kim, MS Soo, R Walsh, Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection., Medical physics, vol. 38 no. 4 (April, 2011), pp. 1972-80  [abs].
5. S Singh, J Maxwell, JA Baker, JL Nicholas, JY Lo, Computer-aided classification of breast masses: performance and interobserver variability of expert radiologists versus residents., Radiology, vol. 258 no. 1 (January, 2011), pp. 73-80 [doi]  [abs].
6. MD Robinson, CA Toth, JY Lo, S Farsiu, Efficient fourier-wavelet super-resolution., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 19 no. 10 (October, 2010), pp. 2669-81 [doi]  [abs].
7. NT Ranger, JY Lo, E Samei, A technique optimization protocol and the potential for dose reduction in digital mammography., Medical physics, vol. 37 no. 3 (March, 2010), pp. 962-9  [abs].
8. CM Shafer, E Samei, JY Lo, The quantitative potential for breast tomosynthesis imaging., Medical physics, vol. 37 no. 3 (March, 2010), pp. 1004-16  [abs].
9. AS Chawla, JY Lo, JA Baker, E Samei, Optimized image acquisition for breast tomosynthesis in projection and reconstruction space., Medical physics, vol. 36 no. 11 (November, 2009), pp. 4859-69  [abs].
10. RS Saunders, E Samei, JY Lo, JA Baker, Can compression be reduced for breast tomosynthesis? Monte carlo study on mass and microcalcification conspicuity in tomosynthesis., Radiology, United States, vol. 251 no. 3 (June, 2009), pp. 673-82  [abs].
11. AS Chawla, RS Saunders, S Singh, JY Lo, E Samei, Towards optimized acquisition scheme for multiprojection correlation imaging of breast cancer., Academic radiology, United States, vol. 16 no. 4 (April, 2009), pp. 456-63  [abs].
12. JL Jesneck, S Mukherjee, Z Yurkovetsky, M Clyde, JR Marks, AE Lokshin, JY Lo, Do serum biomarkers really measure breast cancer?, BMC cancer, vol. 9 (2009), pp. 164 [doi]  [abs].
13. S Singh, GD Tourassi, JA Baker, E Samei, JY Lo, Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach., Medical physics, vol. 35 no. 8 (August, 2008), pp. 3626-36  [abs].
14. MB Williams, P Raghunathan, MJ More, JA Seibert, A Kwan, JY Lo, E Samei, NT Ranger, LL Fajardo, A McGruder, SM McGruder, AD Maidment, MJ Yaffe, A Bloomquist, GE Mawdsley, Optimization of exposure parameters in full field digital mammography., Medical physics, United States, vol. 35 no. 6 (June, 2008), pp. 2414-23  [abs].
15. CE Floyd, AJ Kapadia, JE Bender, AC Sharma, JQ Xia, BP Harrawood, GD Tourassi, JY Lo, AS Crowell, MR Kiser, CR Howell, Neutron-stimulated emission computed tomography of a multi-element phantom., Physics in medicine and biology, England, vol. 53 no. 9 (May, 2008), pp. 2313-26  [abs].
16. JQ Xia, JY Lo, K Yang, CE Floyd, JM Boone, Dedicated breast computed tomography: volume image denoising via a partial-diffusion equation based technique., Medical physics, United States, vol. 35 no. 5 (May, 2008), pp. 1950-8  [abs].
17. AS Chawla, E Samei, RS Saunders, JY Lo, JA Baker, A mathematical model platform for optimizing a multiprojection breast imaging system., Medical physics, United States, vol. 35 no. 4 (April, 2008), pp. 1337-45  [abs].
18. A Karellas, JY Lo, CG Orton, Point/Counterpoint. Cone beam x-ray CT will be superior to digital x-ray tomosynthesis in imaging the breast and delineating cancer., Medical physics, United States, vol. 35 no. 2 (February, 2008), pp. 409-11 .
19. Y Chen, JY Lo, JT Dobbins, Importance of point-by-point back projection correction for isocentric motion in digital breast tomosynthesis: relevance to morphology of structures such as microcalcifications., Medical physics, United States, vol. 34 no. 10 (October, 2007), pp. 3885-92  [abs].
20. JL Jesneck, JY Lo, JA Baker, Breast mass lesions: computer-aided diagnosis models with mammographic and sonographic descriptors., Radiology, United States, vol. 244 no. 2 (August, 2007), pp. 390-8  [abs].
21. GD Tourassi, B Harrawood, S Singh, JY Lo, Information-theoretic CAD system in mammography: entropy-based indexing for computational efficiency and robust performance., Medical physics, United States, vol. 34 no. 8 (August, 2007), pp. 3193-204  [abs].
22. AH Baydush, DM Catarious, JY Lo, CE Floyd, Incorporation of a Laguerre-Gauss channelized Hotelling observer for false-positive reduction in a mammographic mass CAD system., Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology, United States, vol. 20 no. 2 (June, 2007), pp. 196-202  [abs].
23. E Samei, SA Stebbins, JT Dobbins, HP McAdams, JY Lo, Multiprojection correlation imaging for improved detection of pulmonary nodules., AJR. American journal of roentgenology, United States, vol. 188 no. 5 (May, 2007), pp. 1239-45  [abs].
24. GD Tourassi, B Harrawood, S Singh, JY Lo, CE Floyd, Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms., Medical physics, United States, vol. 34 no. 1 (January, 2007), pp. 140-50  [abs].
25. Sharma, A.C. and Floyd, C.E., Jr. and Bender, J.E. and Kapadia, A.J. and Xia, J.Q. and Harrawood, B.P. and Tourassi, G.D. and Lo, J.Y. and Kiser, M.R. and Crowell, A.S. and Pedroni, R.S. and Macri, R.A. and Tajima, S. and Howell, C.R., Neutron stimulated emission computed tomography: Background corrections, Nucl. Instrum. Methods Phys. Res. B, Beam Interact. Mater. At. (Netherlands), vol. 254 no. 2 (2007), pp. 329 - 36 [098]  [abs].
26. Tourassi, G.D. and Harrawood, B. and Singh, S. and Lo, J.Y. and Floyd, C.E., Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms, Med. Phys. (USA), vol. 34 no. 1 (2007), pp. 140 - 50 [1.2401667]  [abs].
27. JL Jesneck, LW Nolte, JA Baker, CE Floyd, JY Lo, Optimized approach to decision fusion of heterogeneous data for breast cancer diagnosis., Medical physics, United States, vol. 33 no. 8 (August, 2006), pp. 2945-54  [abs].
28. CE Floyd, JE Bender, AC Sharma, A Kapadia, J Xia, B Harrawood, GD Tourassi, JY Lo, A Crowell, C Howell, Introduction to neutron stimulated emission computed tomography., Physics in medicine and biology, England, vol. 51 no. 14 (July, 2006), pp. 3375-90  [abs].
29. Chen, Ying and Lo, Joseph Y. and Dobbins III, James T., Noise power spectrum analysis for several digital breast tomosynthesis reconstruction algorithms, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6142 III (2006), pp. 614259 - [12.652282]  [abs].
30. Jesneck, Jonathan L. and Nolte, Loren W. and Baker, Jay A. and Lo, Joseph Y., The effect of data set size on computer-aided diagnosis of breast cancer: Comparing decision fusion to a linear discriminant, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6146 (2006), pp. 614616 - [12.655235]  [abs].
31. Chen, Ying and Lo, Joseph Y. and Baker, Jay A. and Dobbins III, James T., Gaussian frequency blending algorithm with Matrix Inversion Tomosynthesis (MITS) and Filtered Back Projection (FBP) for better digital breast tomosynthesis reconstruction, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6142 I (2006), pp. 61420 - [12.652264]  [abs].
32. Floyd Jr., Carey E. and Bender, Janelle E. and Harrawood, Brian and Sharma, Amy C. and Kapadia, Anuj and Tourassi, Georgia D. and Lo, Joseph Y. and Howell, Calvin, Breast cancer diagnosis using neutron stimulated emission computed tomography: Dose and count requirements, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6142 II (2006), pp. 61421 - [12.656045]  [abs].
33. Jesneck, J.L. and Nolte, L.W. and Baker, J.A. and Floyd, C.E. and Lo, J.Y., Optimized approach to decision fusion of heterogeneous data for breast cancer diagnosis, Med. Phys. (USA), vol. 33 no. 8 (2006), pp. 2945 - 54 [1.2208934]  [abs].
34. Floyd, C.E., Jr. and Bender, J.E. and Sharma, A.C. and Kapadia, A. and Xia, J. and Harrawood, B. and Tourassi, G.D. and Lo, J.Y. and Crowell, A. and Howell, C., Introduction to neutron stimulated emission computed tomography, Phys. Med. Biol. (UK), vol. 51 no. 14 (2006), pp. 3375 - 90 [006]  [abs].
35. E Samei, JY Lo, TT Yoshizumi, JL Jesneck, JT Dobbins, CE Floyd, HP McAdams, CE Ravin, Comparative scatter and dose performance of slot-scan and full-field digital chest radiography systems., Radiology, United States, vol. 235 no. 3 (June, 2005), pp. 940-9  [abs].
36. AO Bilska-Wolak, CE Floyd, JY Lo, JA Baker, Computer aid for decision to biopsy breast masses on mammography: validation on new cases., Academic radiology, United States, vol. 12 no. 6 (June, 2005), pp. 671-80  [abs].
37. JA Baker, EL Rosen, MM Crockett, JY Lo, Accuracy of segmentation of a commercial computer-aided detection system for mammography., Radiology, United States, vol. 235 no. 2 (May, 2005), pp. 385-90  [abs].
38. RS Saunders, E Samei, JL Jesneck, JY Lo, Physical characterization of a prototype selenium-based full field digital mammography detector., Medical physics, United States, vol. 32 no. 2 (February, 2005), pp. 588-99  [abs].
39. Markey, M.K. and Lo, J.Y., Issues in assessing multi-institutional performance of BI-RADS-based CAD systems, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 5747 no. 1 (2005), pp. 858 - 65 [12.594706]  [abs].
40. Bissonnette, M. and Hansroul, M. and Masson, E. and Savard, S. and Cadieux, S. and Warmoes, P. and Gravel, D. and Agopyan, J. and Polischuk, B. and Haerer, W. and Mertelmeier, T. and Lo, J.Y. and Chen, Y. and Dobbins III, J.T. and Jesneck, J.L. and Singh, S., Digital breast tomosynthesis using an amorphous selenium flat panel detector, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 5745 no. I (2005), pp. 529 - 540 [12.601622]  [abs].
41. Jesneck, Jonathan L. and Saunders, Robert S. and Samei, Ehsan and Xia, Jessie Q. and Lo, Joseph Y., Detector evaluation of a prototype amorphous selenium-based full field digital mammography system, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 5745 no. I (2005), pp. 478 - 485 [12.596087]  [abs].
42. Xia, Jessie Q. and Lo, Joseph Y. and Floyd Jr., Carey E., Characterization of scatter radiation of a breast phantom on siemens prototype FFDM with and without an anti-scatter grid, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 5745 no. II (2005), pp. 1096 - 1102 [12.595960]  [abs].
43. Samei, E. and Dobbins, J.T., III and Lo, J.Y. and Tornai, M.P., A framework for optimising the radiographic technique in digital X-ray imaging, Radiat. Prot. Dosim. (UK), vol. 114 no. 1-3 (2005), pp. 220 - 9 [nch562]  [abs].
44. Chen, Ying and Lo, Joseph Y. and Dobbins III, James T., Impulse response analysis for several digital tomosynthesis mammography reconstruction algorithms, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 5745 no. I (2005), pp. 541 - 549 [12.595684]  [abs].
45. Samei, E. and Lo, J.Y. and Yoshizumi, T.T. and Jesneck, J.L. and Dobbins, J.T., III and Floyd, C.E., Jr. and McAdams, H.P. and Ravin, C.E., Comparative scatter and dose performance of slot-scan and full-field digital chest radiography systems, Radiology (USA), vol. 235 no. 3 (2005), pp. 940 - 9 [radiol.2353040516]  [abs].
46. Baker, J.A. and Rosen, E.L. and Crockett, M.M. and Lo, J.Y., Accuracy of segmentation of a commercial computer-aided detection system for mammography, Radiology (USA), vol. 235 no. 2 (2005), pp. 385 - 90 [radiol.2352040899]  [abs].
47. Saunders, R.S. and Samei, E. and Jesneck, J.L. and Lo, J.Y., Physical characterization of a prototype selenium-based full field digital mammography detector, Med. Phys. (USA), vol. 32 no. 2 (2005), pp. 588 - 99 [1.1855033]  [abs].
48. E Samei, JT Dobbins, JY Lo, MP Tornai, A framework for optimising the radiographic technique in digital X-ray imaging., Radiation protection dosimetry, England, vol. 114 no. 1-3 (2005), pp. 220-9  [abs].
49. JA Baker, JY Lo, DM Delong, CE Floyd, Computer-aided detection in screening mammography: variability in cues., Radiology, United States, vol. 233 no. 2 (November, 2004), pp. 411-7  [abs].
50. E Samei, RS Saunders, JY Lo, JT Dobbins, JL Jesneck, CE Floyd, CE Ravin, Fundamental imaging characteristics of a slot-scan digital chest radiographic system., Medical physics, United States, vol. 31 no. 9 (September, 2004), pp. 2687-98  [abs].
51. Baker, J.A. and Lo, J.Y. and Delong, D.M. and Floyd, C.E., Computer-aided detection in screening mammography: variability in cues, Radiology (USA), vol. 233 no. 2 (2004), pp. 411 - 17 [radiol.2332031200]  [abs].
52. Land, W.H., Jr. and Lut Wong and McKee, D.W. and Masters, T. and Anderson, F.R. and Raturi, A. and Lo, J.Y., New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 5370 no. 1 (2004), pp. 777 - 84 [12.533142]  [abs].
53. Fischer, E.A. and Lo, J.Y. and Markey, M.K., Bayesian networks of BI-RADS™ descriptors for breast lesion classification, Conference Proceedings. 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.04CH37558), vol. Vol.4 (2004), pp. 3031 - 4  [abs].
54. Land, W.H., Jr. and McKee, D.W. and Anderson, F.R. and Lo, J.Y., Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 5370 no. 1 (2004), pp. 880 - 7 [12.535864]  [abs].
55. JA Baker, EL Rosen, JY Lo, EI Gimenez, R Walsh, MS Soo, Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion., AJR. American journal of roentgenology, United States, vol. 181 no. 4 (October, 2003), pp. 1083-8  [abs].
56. AO Bilska-Wolak, CE Floyd, LW Nolte, JY Lo, Application of likelihood ratio to classification of mammographic masses; performance comparison to case-based reasoning., Medical physics. , United States, vol. 30 no. 5 (May, 2003), pp. 949-58  [abs].
57. MK Markey, JY Lo, GD Tourassi, CE Floyd, Self-organizing map for cluster analysis of a breast cancer database., Artificial intelligence in medicine, Netherlands, vol. 27 no. 2 (February, 2003), pp. 113-27  [abs].
58. Markey, Mia K. and Lo, Joseph Y. and Tourassi, Georgia D. and Floyd Jr., Carey E., Self-organizing map for cluster analysis of a breast cancer database, Artificial Intelligence in Medicine, vol. 27 no. 2 (2003), pp. 113 - 127 [S0933-3657(03)00003-4]  [abs].
59. Land, W.H., Jr. and McKee, D.W. and Lo, J.Y. and Anderson, F.R., Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 5032 (2003), pp. 898 - 907 [12.483550]  [abs].
60. Land, W.H., Jr. and McKee, D. and Velazquez, R. and Lut Wong and Lo, J.Y. and Anderson, F.R., Application of support vector machines to breast cancer screening using mammogram and clinical history data, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 5032 (2003), pp. 546 - 56 [12.480235]  [abs].
61. Bilska-Wolak, A.O. and Floyd, C.E., Jr. and Lo, J.Y., Prediction of breast biopsy outcome using a likelihood ratio classifier and biopsy cases from two medical centers, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 5032 (2003), pp. 1386 - 91 [12.481349]  [abs].
62. Lo, J.Y. and Gavrielides, M.A. and Markey, M.K. and Jesneck, J.L., Computer-aided classification of breast microcalcification clusters: merging of features from image processing and radiologists, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 5032 (2003), pp. 882 - 9 [12.480869]  [abs].
63. Tourassi, G.D. and Lo, J.Y. and Markey, M.K., Validation of a constraint satisfaction neural network for breast cancer diagnosis: new results from 1,030 cases, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 5032 (2003), pp. 207 - 14 [12.481111]  [abs].
64. Lo, J.Y.-L. and Wu-An Kuo and Wu, A.C.-H. and TingTing Hwang, A custom-cell identification method for high-performance mixed standard/custom-cell designs, Proceedings Design, Automation and Test in Europe Conference and Exhibition (2003), pp. 1102 - 3 [DATE.2003.1253754]  [abs].
65. Bilska-Wolak, A.O. and Floyd, C.E., Jr. and Nolte, L.W. and Lo, J.Y., Application of likelihood ratio to classification of mammographic masses; performance comparison to case-based reasoning, Med. Phys. (USA), vol. 30 no. 5 (2003), pp. 949 - 58 [1.1565339]  [abs].
66. MK Markey, JY Lo, CE Floyd, Differences between computer-aided diagnosis of breast masses and that of calcifications., Radiology, United States, vol. 223 no. 2 (May, 2002), pp. 489-93  [abs].
67. MA Gavrielides, JY Lo, CE Floyd, Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms., Medical physics, United States, vol. 29 no. 4 (April, 2002), pp. 475-83  [abs].
68. MT Keogan, JY Lo, KS Freed, V Raptopoulos, S Blake, IR Kamel, K Weisinger, MP Rosen, RC Nelson, Outcome analysis of patients with acute pancreatitis by using an artificial neural network., Academic radiology, United States, vol. 9 no. 4 (April, 2002), pp. 410-9  [abs].
69. MK Markey, JY Lo, R Vargas-Voracek, GD Tourassi, CE Floyd, Perceptron error surface analysis: a case study in breast cancer diagnosis., Computers in biology and medicine, United States, vol. 32 no. 2 (March, 2002), pp. 99-109  [abs].
70. JY Lo, MK Markey, JA Baker, CE Floyd, Cross-institutional evaluation of BI-RADS predictive model for mammographic diagnosis of breast cancer., AJR. American journal of roentgenology, United States, vol. 178 no. 2 (February, 2002), pp. 457-63  [abs].
71. Land, W.H., Jr. and Bryden, M. and Lo, J.Y. and McKee, D.W. and Anderson, F.R., Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), vol. vol.1 (2002), pp. 187 - 92 [CEC.2002.1006231]  [abs].
72. Markey, M.K. and Lo, J.Y. and Tourassi, G.D. and Floyd, C.E., Jr., Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 4684 (2002), pp. 363 - 70 [12.467177]  [abs].
73. Land Jr., Walker H. and Akanda, Ahab and Lo, Joseph Y. and Anderson, Frances and Bryden, Margaret, Application of support vector machines to breast cancer screening using mammogram and history data, Proceedings of SPIE - The International Society for Optical Engineering, vol. 4684 I (2002), pp. 636 - 642 [12.467206]  [abs].
74. Land Jr., Walker H. and McKee, Daniel W. and Lo, Joseph Y. and Anderson, Frances, Improving mammogram screening using a bank of support vector machines (SVMs), Intelligent Engineering Systems Through Artificial Neural Networks, vol. 12 (2002), pp. 779 - 784  [abs].
75. Land Jr., Walker H. and Lo, Joseph Y. and Velazquez, Roberto, Using evolutionary programming to configure support vector machines for the diagnosis of breast cancer, Intelligent Engineering Systems Through Artificial Neural Networks, vol. 12 (2002), pp. 249 - 254  [abs].
76. Markey, M.K. and Lo, J.Y. and Floyd, C.E., Jr., Differences between computer-aided diagnosis of breast masses and that of calcifications, Radiology (USA), vol. 223 no. 2 (2002), pp. 489 - 93  [abs].
77. Gavrielides, M.A. and Lo, J.Y. and Floyd, C.E., Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms, Med. Phys. (USA), vol. 29 no. 4 (2002), pp. 475 - 83 [1.1460874]  [abs].
78. Markey, M.K. and Lo, J.Y. and Vargas-Voracek, R. and Tourassi, G.D. and Floyd, C.E., Jr., Perceptron error surface analysis: a case study in breast cancer diagnosis, Comput. Biol. Med. (UK), vol. 32 no. 2 (2002), pp. 99 - 109 [S0010-4825(01)00035-X]  [abs].
79. AH Baydush, DM Catarious, JY Lo, CK Abbey, CE Floyd, Computerized classification of suspicious regions in chest radiographs using subregion Hotelling observers., Medical physics, United States, vol. 28 no. 12 (December, 2001), pp. 2403-9  [abs].
80. GD Tourassi, MK Markey, JY Lo, CE Floyd, A neural network approach to breast cancer diagnosis as a constraint satisfaction problem., Medical physics, United States, vol. 28 no. 5 (May, 2001), pp. 804-11  [abs].
81. Baydush, A.H. and Catarious, D.M. and Lo, J.Y. and Abbey, C.K. and Floyd, C.E., Computerized classification of suspicious regions in chest radiographs using subregion Hotelling observers, Med. Phys. (USA), vol. 28 no. 12 (2001), pp. 2403 - 9 [1.1420402]  [abs].
82. Land, W.H., Jr. and Masters, T. and Lo, J.Y. and McKee, D.W. and Anderson, F.R., New results in breast cancer classification obtained from an evolutionary computation/adaptive boosting hybrid using mammogram and history data, SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications (Cat. No.01EX504) (2001), pp. 47 - 52 [SMCIA.2001.936727]  [abs].
83. Land, W.H., Jr. and Masters, T. and Lo, J.Y. and McKee, D.W., Application of adaptive boosting to EP-derived multi-layer feedforward neural networks (MLFN) to improve benign/malignant breast cancer classification, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 4322 (2001), pp. 1717 - 24  [abs].
84. Land W.H., Jr. and Masters, T. and Lo, J.Y. and McKee, D.W., Application of evolutionary computation and neural network hybrids for breast cancer classification using mammogram and history data, Proceedings of the IEEE Conference on Evolutionary Computation, ICEC, vol. 2 (2001), pp. 1147 - 1154  [abs].
85. Land W.H., Jr. and Masters, T. and Lo, J.Y. and McKee, D.W., Application of adaptive boosting to EP-derived multi-layer feedforward neural networks (MLFN) to improve benign/malignant breast cancer classification, Proceedings of SPIE - The International Society for Optical Engineering, vol. 4322 no. 3 (2001), pp. 1717 - 1724 [12.431058]  [abs].
86. Land, W.H., Jr. and Masters, T. and Lo, J.Y. and McKee, D.W., Application of evolutionary computation and neural network hybrids for breast cancer classification using mammogram and history data, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546), vol. vol. 2 (2001), pp. 1147 - 54 [CEC.2001.934320]  [abs].
87. Tourassi, G.D. and Markey, M.K. and Lo, J.Y. and Floyd, C.E., A neural network approach to breast cancer diagnosis as a constraint satisfaction problem, Med. Phys. (USA), vol. 28 no. 5 (2001), pp. 804 - 11 [1.1367861]  [abs].
88. CE Floyd, JY Lo, GD Tourassi, Case-based reasoning computer algorithm that uses mammographic findings for breast biopsy decisions., AJR. American journal of roentgenology, UNITED STATES, vol. 175 no. 5 (November, 2000), pp. 1347-52  [abs].
89. MA Gavrielides, JY Lo, R Vargas-Voracek, CE Floyd, Segmentation of suspicious clustered microcalcifications in mammograms., Medical physics, UNITED STATES, vol. 27 no. 1 (January, 2000), pp. 13-22  [abs].
90. Land, W.H., Jr. and Masters, T. and Lo, J.Y., Performance evaluation using the GRNN Oracle and a new evolutionary programming/adaptive boosting hybrid for breast cancer benign/malignant diagnostic aids, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining, and Complex Systems. Vol.10. Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2000) (2000), pp. 813 - 18  [abs].
91. Land, W.H. and Masters, T., Jr. and Lo, J.Y., Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 3979 (2000), pp. 77 - 85  [abs].
92. Tourassi, G.D. and Floyd, C.E., Jr. and Lo, J.Y., Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 3979 (2000), pp. 46 - 54 [12.387680]  [abs].
93. Lo, J.Y. and Land, W.H. and Morrison, C.T., Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis, Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol. 3979 (2000), pp. 153 - 8 [12.387635]  [abs].
94. Gavrielides, M.A. and Lo, J.Y. and Vargas-Voracek, R. and Floyd, C.E., Jr., Segmentation of suspicious clustered microcalcifications in mammograms, Med. Phys. (USA), vol. 27 no. 1 (2000), pp. 13 - 22 [1.598852]  [abs].
95. MT Munley, JY Lo, GS Sibley, GC Bentel, MS Anscher, LB Marks, A neural network to predict symptomatic lung injury., Physics in medicine and biology, ENGLAND, vol. 44 no. 9 (September, 1999), pp. 2241-9  [abs].
96. JY Lo, JA Baker, PJ Kornguth, CE Floyd, Effect of patient history data on the prediction of breast cancer from mammographic findings with artificial neural networks., Academic radiology, UNITED STATES, vol. 6 no. 1 (January, 1999), pp. 10-5  [abs].
97. Lo, J.Y. and Floyd, C.E., Jr., Computer-aided diagnosis of breast cancer, Computer-Aided Diagnosis in Medical Imaging. Proceedings of the First International Workshop on Computer-Aided Diagnosis (1999), pp. 221 - 5  [abs].
98. Land, Walker H. Jr. and Masters, Timothy and Morrison, Clayton T. and Lo, Joseph Y., Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms, Intelligent Engineering Systems Through Artificial Neural Networks, vol. 9 (1999), pp. 803 - 808  [abs].
99. Floyd, C.E., Jr. and Lo, J.Y. and Baker, J.A., Prediction of breast biopsy outcomes from mammographic findings, Computer-Aided Diagnosis in Medical Imaging. Proceedings of the First International Workshop on Computer-Aided Diagnosis (1999), pp. 193 - 200  [abs].
100. Lo, J.Y. and Land, W.H. and Morrison, C.T., Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), vol. vol.5 (1999), pp. 3712 - 16 [IJCNN.1999.836275]  [abs].
101. Lo, J.Y. and Floyd, C.E., Jr., Application of artificial neural networks for diagnosis of breast cancer, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), vol. Vol. 3 (1999), pp. 1755 - 9 [CEC.1999.785486]  [abs].
102. Tourassi, G.D. and Floyd, C.E., Jr and Lo, J.Y., A constraint satisfaction neural network for medical diagnosis, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), vol. vol.5 (1999), pp. 3632 - 5 [IJCNN.1999.836258]  [abs].
103. Floyd, Carey E. Jr. and Lo, Joseph Y. and Tourassi, Georgia D., Case-based reasoning as a computer aid to diagnosis, Proceedings of SPIE - The International Society for Optical Engineering, vol. 3661 no. I (1999), pp. 486 - 489 [12.348603]  [abs].
104. KS Freed, JY Lo, JA Baker, CE Floyd, VH Low, JT Seabourn, RC Nelson, Predictive model for the diagnosis of intraabdominal abscess., Academic radiology, UNITED STATES, vol. 5 no. 7 (July, 1998), pp. 473-9  [abs].
105. Sakamoto, H. and Lo, J.Y.D. and Nishida, T., QoS middleware for Internet multimedia streaming, NEC Tech. J. (Japan), vol. 51 no. 8 (1998), pp. 35 - 40  [abs].
106. JY Lo, JA Baker, PJ Kornguth, JD Iglehart, CE Floyd, Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features., Radiology, UNITED STATES, vol. 203 no. 1 (April, 1997), pp. 159-63  [abs].
107. Lo, J.Y. and Floyd, C.E., Jr., Self-organizing maps for analyzing mammographic findings, 1997 IEEE International Conference on Neural Networks. Proceedings (Cat. No.97CH36109), vol. vol.4 (1997), pp. 2472 - 4 [ICNN.1997.614546]  [abs].
108. CE Floyd, EF Patz, JY Lo, NF Vittitoe, LE Stambaugh, Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension., AJR. American journal of roentgenology, UNITED STATES, vol. 167 no. 5 (November, 1996), pp. 1185-7  [abs].
109. JA Baker, PJ Kornguth, JY Lo, CE Floyd, Artificial neural network: improving the quality of breast biopsy recommendations., Radiology, UNITED STATES, vol. 198 no. 1 (January, 1996), pp. 131-5  [abs].
110. Floyd, C.E., Jr. and Lo, J.Y. and Tourassi, G.D. and Baker, J.A. and Vitittoe, N.F. and Vargas-Vorack, R., Computer aided diagnosis in thoracic and mammographic radiology, Med. Imaging Technol. (Japan), vol. 14 no. 6 (1996), pp. 629 - 34  [abs].
111. Lo, Joseph Y. and Kim, Jeffrey and Baker, Jay A. and Floyd Jr., Carey E., Computer-aided diagnosis of mammography using an artificial neural network: Predicting the invasiveness of breast cancers from image features, Proceedings of SPIE - The International Society for Optical Engineering, vol. 2710 (1996), pp. 725 - 732  [abs].
112. Lo, J.Y. and Floys, C.E., Jr, Analysis of error surfaces of neural network applied to computer-aided diagnosis in mammography, WCNN'96. World Congress on Neural Networks. International Neural Network Society 1996 Annual Meeting (1996), pp. 1240 -  [abs].
113. Baker, J.A. and Kornguth, P.J. and Lo, J.Y. and Floyd, C.E., Artificial neural network: improving the quality of breast biopsy recommendations, Radiology (USA), vol. 198 no. 1 (1996), pp. 131 - 5  [abs].
114. JY Lo, JA Baker, PJ Kornguth, CE Floyd, Computer-aided diagnosis of breast cancer: artificial neural network approach for optimized merging of mammographic features., Academic radiology, UNITED STATES, vol. 2 no. 10 (October, 1995), pp. 841-50  [abs].
115. JA Baker, PJ Kornguth, JY Lo, ME Williford, CE Floyd, Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon., Radiology, UNITED STATES, vol. 196 no. 3 (September, 1995), pp. 817-22  [abs].
116. Mun, Seong K. and Freedman, Matthew T. and Wu, Yuzheng C. and Lo, Ben S. and Floyd, Carey E. Jr. and Lo, Joseph Y. and Chan, Heang-Ping and Helvie, Mark A. and Petrick, Nicholas and Sahiner, Berkman and Wei, Datong and Chakraborty, Dev P. and Clarke, Laurence P. and Kallergi, Maria and Clark, Bob and Kim, Yongmin, Academic consortium for the evaluation of computer-aided diagnosis (CADx) in mammography, Proceedings of SPIE - The International Society for Optical Engineering, vol. 2431 (1995), pp. 442 - 446 [12.207638]  [abs].
117. Lo, J.Y. and Baker, J.A. and Koruguth, P.J. and Floyd, C.E., Jr., Computer-aided diagnosis of mammography: artificial neural networks for optimized merging of standardized BIRADS features, WCNN '95. World Congress on Neural Networks. 1995 International Neural Network Society Annual Meeting, vol. vol.2 (1995), pp. 885 - 8  [abs].
118. CE Floyd, JY Lo, AJ Yun, DC Sullivan, PJ Kornguth, Prediction of breast cancer malignancy using an artificial neural network., Cancer, UNITED STATES, vol. 74 no. 11 (December, 1994), pp. 2944-8  [abs].
119. CE Floyd, AH Baydush, JY Lo, JE Bowsher, CE Ravin, Bayesian restoration of chest radiographs. Scatter compensation with improved signal-to-noise ratio., Investigative radiology, UNITED STATES, vol. 29 no. 10 (October, 1994), pp. 904-10  [abs].
120. JY Lo, CE Floyd, JA Baker, CE Ravin, Scatter compensation in digital chest radiography using the posterior beam stop technique., Medical physics, UNITED STATES, vol. 21 no. 3 (March, 1994), pp. 435-43  [abs].
121. Floyd, C.E., Jr. and Yun, A.J. and Lo, J.Y. and Tourassi, G. and Sullivan, D.C. and Kornguth, P.J., Prediction of breast cancer malignancy for difficult cases using an artificial neural network, World Congress on Neural Networks-San Diego. 1994 International Neural Network Society Annual Meeting, vol. vol.1 (1994), pp. 127 - 32  [abs].
122. Lo, J.Y. and Floyd, C.E., Jr and Baker, J.A. and Ravin, C.E., Scatter compensation in digital chest radiography using the posterior beam stop technique, Med. Phys. (USA), vol. 21 no. 3 (1994), pp. 435 - 43 [1.597388]  [abs].
123. JA Baker, CE Floyd, JY Lo, CE Ravin, Observer evaluation of scatter subtraction for digital portable chest radiographs., Investigative radiology, UNITED STATES, vol. 28 no. 8 (August, 1993), pp. 667-70  [abs].
124. LK Jordan, CE Floyd, JY Lo, CE Ravin, Measurement of scatter fractions in erect posteroanterior and lateral chest radiography., Radiology, UNITED STATES, vol. 188 no. 1 (July, 1993), pp. 215-8  [abs].
125. CE Floyd, AH Baydush, JY Lo, JE Bowsher, CE Ravin, Scatter compensation for digital chest radiography using maximum likelihood expectation maximization., Investigative radiology, UNITED STATES, vol. 28 no. 5 (May, 1993), pp. 427-33  [abs].
126. Lo, J.Y. and Floyd, C.E., Jr and Baker, J.A. and Ravin, C.E., An artificial neural network for estimating scatter exposures in portable chest radiography, Med. Phys. (USA), vol. 20 no. 4 (1993), pp. 965 - 73 [1.596978]  [abs].
127. Jordan, L.K., III and Floyd, C.E., Jr. and Lo, J.Y. and Ravin, C.E., Measurement of scatter fractions in erect postanterior and lateral chest radiography, Radiology (USA), vol. 188 no. 1 (1993), pp. 215 - 18  [abs].
128. CE Floyd, JA Baker, JY Lo, CE Ravin, Measurement of scatter fractions in clinical bedside radiography., Radiology, UNITED STATES, vol. 183 no. 3 (June, 1992), pp. 857-61  [abs].
129. CE Floyd, JA Baker, JY Lo, CE Ravin, Posterior beam-stop method for scatter fraction measurement in digital radiography., Investigative radiology, UNITED STATES, vol. 27 no. 2 (February, 1992), pp. 119-23  [abs].
130. Floyd, C.E., Jr. and Baker, J.A. and Lo, J.Y. and Ravin, C.E., Measurement of scatter fractions in clinical bedside radiography, Radiology (USA), vol. 183 no. 3 (1992), pp. 857 - 61  [abs].
131. Floyd, C.E., Jr. and Bowsher, J.E. and Munley, M.T. and Tourassi, G.D. and Garg, S. and Baydush, A.H. and Lo, J.Y. and Coleman, R.E., Artificial neural networks for SPECT image reconstruction with optimized weighted backprojection, Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.91CH3100-5) (1991), pp. 2184 - 8 [NSSMIC.1991.259306]  [abs].
132. Floyd, C.E., Jr. and Lo, J.Y. and Chotas, H.G. and Ravin, C.E., Quantitative scatter measurement in digital radiography using a photostimulable phosphor imaging system, Med. Phys. (USA), vol. 18 no. 3 (1991), pp. 408 - 13 [1.596687]  [abs].
133. HG Chotas, CE Floyd, JT Dobbins, JY Lo, CE Ravin, Scatter fractions in AMBER imaging., Radiology, UNITED STATES, vol. 177 no. 3 (December, 1990), pp. 879-80  [abs].
134. Chotas, H.G. and Floyd, C.E., Jr. and Dobbins, J.T., III and Lo, J.Y. and Ravin, C.E., Scatter fractions in AMBER imaging, Radiology (USA), vol. 177 no. 3 (1990), pp. 879 - 80  [abs].
135. MA Mazurowski, PA Habas, JM Zurada, JY Lo, JA Baker, GD Tourassi, Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance., Neural networks : the official journal of the International Neural Network Society, United States, vol. 21 no. 2-3 , pp. 427-36  [abs].
136. JY Lo, CE Floyd, JA Baker, CE Ravin, An artificial neural network for estimating scatter exposures in portable chest radiography., Medical physics, UNITED STATES, vol. 20 no. 4 , pp. 965-73  [abs].
137. CE Floyd, JY Lo, HG Chotas, CE Ravin, Quantitative scatter measurement in digital radiography using a photostimulable phosphor imaging system., Medical physics, UNITED STATES, vol. 18 no. 3 , pp. 408-13  [abs].
138. Samei, E. and Saunders, R.S. and Lo, J.Y. and Dobbins, J.T. and Jesneck, J.L. and Floyd, C.E. and Ravin, C.E., Fundamental imaging characteristics of a slot-scan digital chest radiographic system, Med. Phys. (USA), vol. 31 no. 9 , pp. 2687 - 98 [1.1783531]  [abs].
139. Munley, M.T. and Lo, J.Y. and Sibley, G.S. and Bentel, G.C. and Anscher, M.S. and Marks, L.B., A neural network to predict symptomatic lung injury, Phys. Med. Biol. (UK), vol. 44 no. 9 , pp. 2241 - 9 [311]  [abs].
140. Lo JY, Gavrielides MA, Markey MK, and Jesneck JL, “Computer-aided classification of breast microcalcification clusters: Merging of features from image processing and radiologists,” Medical Imaging 2003: Image Processing, Hanson KM, Ed., SPIE Medical Imaging 2003: Image Processing, San Diego, CA, Proc. SPIE: (2003). .