Lo JY - Search Results

1

Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies.

Nguyen DL, Ren Y, Jones TM, Thomas SM, Lo JY, Grimm LJ. Nguyen DL, et al. Among authors: lo jy. Radiology. 2024 May;311(2):e232286. doi: 10.1148/radiol.232286. Radiology. 2024. PMID: 38771177

2

Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon.

Baker JA, Kornguth PJ, Lo JY, Williford ME, Floyd CE Jr. Baker JA, et al. Among authors: lo jy. Radiology. 1995 Sep;196(3):817-22. doi: 10.1148/radiology.196.3.7644649. Radiology. 1995. PMID: 7644649

3

Prediction of breast cancer malignancy using an artificial neural network.

Floyd CE Jr, Lo JY, Yun AJ, Sullivan DC, Kornguth PJ. Floyd CE Jr, et al. Among authors: lo jy. Cancer. 1994 Dec 1;74(11):2944-8. doi: 10.1002/1097-0142(19941201)74:11<2944::aid-cncr2820741109>3.0.co;2-f. Cancer. 1994. PMID: 7954258

4

Artificial neural network: improving the quality of breast biopsy recommendations.

Baker JA, Kornguth PJ, Lo JY, Floyd CE Jr. Baker JA, et al. Among authors: lo jy. Radiology. 1996 Jan;198(1):131-5. doi: 10.1148/radiology.198.1.8539365. Radiology. 1996. PMID: 8539365

5

Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features.

Lo JY, Baker JA, Kornguth PJ, Iglehart JD, Floyd CE Jr. Lo JY, et al. Radiology. 1997 Apr;203(1):159-63. doi: 10.1148/radiology.203.1.9122385. Radiology. 1997. PMID: 9122385

6

Computer-aided diagnosis of breast cancer: artificial neural network approach for optimized merging of mammographic features.

Lo JY, Baker JA, Kornguth PJ, Floyd CE Jr. Lo JY, et al. Acad Radiol. 1995 Oct;2(10):841-50. doi: 10.1016/s1076-6332(05)80057-1. Acad Radiol. 1995. PMID: 9419649

7

Predictive model for the diagnosis of intraabdominal abscess.

Freed KS, Lo JY, Baker JA, Floyd CE Jr, Low VH, Seabourn JT, Nelson RC. Freed KS, et al. Among authors: lo jy. Acad Radiol. 1998 Jul;5(7):473-9. doi: 10.1016/s1076-6332(98)80187-6. Acad Radiol. 1998. PMID: 9653463

8

Effect of patient history data on the prediction of breast cancer from mammographic findings with artificial neural networks.

Lo JY, Baker JA, Kornguth PJ, Floyd CE Jr. Lo JY, et al. Acad Radiol. 1999 Jan;6(1):10-5. doi: 10.1016/s1076-6332(99)80056-7. Acad Radiol. 1999. PMID: 9891147

9

Differences between computer-aided diagnosis of breast masses and that of calcifications.

Markey MK, Lo JY, Floyd CE Jr. Markey MK, et al. Among authors: lo jy. Radiology. 2002 May;223(2):489-93. doi: 10.1148/radiol.2232011257. Radiology. 2002. PMID: 11997558

10

Computer-aided detection in screening mammography: variability in cues.

Baker JA, Lo JY, Delong DM, Floyd CE. Baker JA, et al. Among authors: lo jy. Radiology. 2004 Nov;233(2):411-7. doi: 10.1148/radiol.2332031200. Epub 2004 Sep 9. Radiology. 2004. PMID: 15358850

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