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A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.
Konz N, Buda M, Gu H, Saha A, Yang J, Chledowski J, Park J, Witowski J, Geras KJ, Shoshan Y, Gilboa-Solomon F, Khapun D, Ratner V, Barkan E, Ozery-Flato M, Martí R, Omigbodun A, Marasinou C, Nakhaei N, Hsu W, Sahu P, Hossain MB, Lee J, Santos C, Przelaskowski A, Kalpathy-Cramer J, Bearce B, Cha K, Farahani K, Petrick N, Hadjiiski L, Drukker K, Armato SG 3rd, Mazurowski MA. Konz N, et al. Among authors: saha a. JAMA Netw Open. 2023 Feb 1;6(2):e230524. doi: 10.1001/jamanetworkopen.2023.0524. JAMA Netw Open. 2023. PMID: 36821110 Free PMC article.
Deep learning for identifying radiogenomic associations in breast cancer.
Zhu Z, Albadawy E, Saha A, Zhang J, Harowicz MR, Mazurowski MA. Zhu Z, et al. Among authors: saha a. Comput Biol Med. 2019 Jun;109:85-90. doi: 10.1016/j.compbiomed.2019.04.018. Epub 2019 Apr 25. Comput Biol Med. 2019. PMID: 31048129 Free PMC article. Clinical Trial.
2,866 results