Erickson BJ - Search Results

1

Whole-body low-dose computed tomography in patients with newly diagnosed multiple myeloma predicts cytogenetic risk: a deep learning radiogenomics study.

Faghani S, Moassefi M, Yadav U, Buadi FK, Kumar SK, Erickson BJ, Gonsalves WI, Baffour FI. Faghani S, et al. Among authors: erickson bj. Skeletal Radiol. 2025 Feb;54(2):267-273. doi: 10.1007/s00256-024-04733-0. Epub 2024 Jun 27. Skeletal Radiol. 2025. PMID: 38937291

2

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.

Weston AD, Korfiatis P, Kline TL, Philbrick KA, Kostandy P, Sakinis T, Sugimoto M, Takahashi N, Erickson BJ. Weston AD, et al. Among authors: erickson bj. Radiology. 2019 Mar;290(3):669-679. doi: 10.1148/radiol.2018181432. Epub 2018 Dec 11. Radiology. 2019. PMID: 30526356

3

Automated Aneurysm Detection: Emerging from the Shallow End of the Deep Learning Pool.

Kallmes DF, Erickson BJ. Kallmes DF, et al. Among authors: erickson bj. Radiology. 2021 Jan;298(1):164-165. doi: 10.1148/radiol.2020203853. Epub 2020 Nov 3. Radiology. 2021. PMID: 33146581 Free PMC article. No abstract available.

4

Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett's esophagus.

Faghani S, Codipilly DC, David Vogelsang, Moassefi M, Rouzrokh P, Khosravi B, Agarwal S, Dhaliwal L, Katzka DA, Hagen C, Lewis J, Leggett CL, Erickson BJ, Iyer PG. Faghani S, et al. Among authors: erickson bj. Gastrointest Endosc. 2022 Dec;96(6):918-925.e3. doi: 10.1016/j.gie.2022.06.013. Epub 2022 Jun 17. Gastrointest Endosc. 2022. PMID: 35718071

5

A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients.

Moassefi M, Faghani S, Conte GM, Kowalchuk RO, Vahdati S, Crompton DJ, Perez-Vega C, Cabreja RAD, Vora SA, Quiñones-Hinojosa A, Parney IF, Trifiletti DM, Erickson BJ. Moassefi M, et al. Among authors: erickson bj. J Neurooncol. 2022 Sep;159(2):447-455. doi: 10.1007/s11060-022-04080-x. Epub 2022 Jul 19. J Neurooncol. 2022. PMID: 35852738

6

Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry: A Stepwise Approach.

Rouzrokh P, Khosravi B, Johnson QJ, Faghani S, Vera Garcia DV, Erickson BJ, Maradit Kremers H, Taunton MJ, Wyles CC. Rouzrokh P, et al. Among authors: erickson bj. J Bone Joint Surg Am. 2022 Sep 21;104(18):1649-1658. doi: 10.2106/JBJS.21.01229. Epub 2022 Jul 21. J Bone Joint Surg Am. 2022. PMID: 35866648 Free PMC article.

7

A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT.

Faghani S, Baffour FI, Ringler MD, Hamilton-Cave M, Rouzrokh P, Moassefi M, Khosravi B, Erickson BJ. Faghani S, et al. Among authors: erickson bj. Skeletal Radiol. 2023 Jan;52(1):91-98. doi: 10.1007/s00256-022-04160-z. Epub 2022 Aug 18. Skeletal Radiol. 2023. PMID: 35980454

8

Mitigating Bias in Radiology Machine Learning: 2. Model Development.

Zhang K, Khosravi B, Vahdati S, Faghani S, Nugen F, Rassoulinejad-Mousavi SM, Moassefi M, Jagtap JMM, Singh Y, Rouzrokh P, Erickson BJ. Zhang K, et al. Among authors: erickson bj. Radiol Artif Intell. 2022 Aug 24;4(5):e220010. doi: 10.1148/ryai.220010. eCollection 2022 Sep. Radiol Artif Intell. 2022. PMID: 36204532 Free PMC article.

9

Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics.

Faghani S, Khosravi B, Zhang K, Moassefi M, Jagtap JM, Nugen F, Vahdati S, Kuanar SP, Rassoulinejad-Mousavi SM, Singh Y, Vera Garcia DV, Rouzrokh P, Erickson BJ. Faghani S, et al. Among authors: erickson bj. Radiol Artif Intell. 2022 Aug 24;4(5):e220061. doi: 10.1148/ryai.220061. eCollection 2022 Sep. Radiol Artif Intell. 2022. PMID: 36204539 Free PMC article.

10

Mitigating Bias in Radiology Machine Learning: 1. Data Handling.

Rouzrokh P, Khosravi B, Faghani S, Moassefi M, Vera Garcia DV, Singh Y, Zhang K, Conte GM, Erickson BJ. Rouzrokh P, et al. Among authors: erickson bj. Radiol Artif Intell. 2022 Aug 24;4(5):e210290. doi: 10.1148/ryai.210290. eCollection 2022 Sep. Radiol Artif Intell. 2022. PMID: 36204544 Free PMC article.

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