Bilbily A - Search Results

1

Automated screening of computed tomography using weakly supervised anomaly detection.

Hibi A, Cusimano MD, Bilbily A, Krishnan RG, Tyrrell PN. Hibi A, et al. Among authors: bilbily a. Int J Comput Assist Radiol Surg. 2023 Nov;18(11):2001-2012. doi: 10.1007/s11548-023-02965-4. Epub 2023 May 29. Int J Comput Assist Radiol Surg. 2023. PMID: 37247113 Free PMC article.

2

Quantifying uncertainty in machine learning classifiers for medical imaging.

Valen J, Balki I, Mendez M, Qu W, Levman J, Bilbily A, Tyrrell PN. Valen J, et al. Among authors: bilbily a. Int J Comput Assist Radiol Surg. 2022 Apr;17(4):711-718. doi: 10.1007/s11548-022-02578-3. Epub 2022 Mar 12. Int J Comput Assist Radiol Surg. 2022. PMID: 35278156

3

Automated identification and quantification of traumatic brain injury from CT scans: Are we there yet?

Hibi A, Jaberipour M, Cusimano MD, Bilbily A, Krishnan RG, Aviv RI, Tyrrell PN. Hibi A, et al. Among authors: bilbily a. Medicine (Baltimore). 2022 Nov 25;101(47):e31848. doi: 10.1097/MD.0000000000031848. Medicine (Baltimore). 2022. PMID: 36451512 Free PMC article.

4

Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs.

Cicero M, Bilbily A, Colak E, Dowdell T, Gray B, Perampaladas K, Barfett J. Cicero M, et al. Among authors: bilbily a. Invest Radiol. 2017 May;52(5):281-287. doi: 10.1097/RLI.0000000000000341. Invest Radiol. 2017. PMID: 27922974

5

The RSNA Pediatric Bone Age Machine Learning Challenge.

Halabi SS, Prevedello LM, Kalpathy-Cramer J, Mamonov AB, Bilbily A, Cicero M, Pan I, Pereira LA, Sousa RT, Abdala N, Kitamura FC, Thodberg HH, Chen L, Shih G, Andriole K, Kohli MD, Erickson BJ, Flanders AE. Halabi SS, et al. Among authors: bilbily a. Radiology. 2019 Feb;290(2):498-503. doi: 10.1148/radiol.2018180736. Epub 2018 Nov 27. Radiology. 2019. PMID: 30480490 Free PMC article.

6

Hypermetabolic lymphadenopathy on positron emission tomography scan following COVID-19 vaccination: A mimicker of disease progression in Hodgkin lymphoma.

Suleman A, Bilbily A, Cheung M, Chodirker L. Suleman A, et al. Among authors: bilbily a. EJHaem. 2021 Jul 22;2(3):678-679. doi: 10.1002/jha2.268. eCollection 2021 Aug. EJHaem. 2021. PMID: 34518831 Free PMC article. No abstract available.

7

Opportunistic Screening of Low Bone Mineral Density From Standard X-Rays.

Bilbily A, Syme CA, Adachi JD, Berger C, Morin SN, Goltzman D, Cicero MD. Bilbily A, et al. J Am Coll Radiol. 2024 Apr;21(4):633-639. doi: 10.1016/j.jacr.2023.07.024. Epub 2023 Oct 5. J Am Coll Radiol. 2024. PMID: 37805012

8

3D CT Radiomic Analysis Improves Detection of Axillary Lymph Node Metastases Compared to Conventional Features in Patients With Locally Advanced Breast Cancer.

Barszczyk M, Singh N, Alikhassi A, Van Oirschot M, Kuling G, Kiss A, Gandhi S, Nofech-Mozes S, Look Hong N, Bilbily A, Martel A, Matsuura N, Curpen B. Barszczyk M, et al. Among authors: bilbily a. J Breast Imaging. 2024 May 16:wbae022. doi: 10.1093/jbi/wbae022. Online ahead of print. J Breast Imaging. 2024. PMID: 38752527

9

An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 2: Implementation Considerations and Harms.

Warren BE, Bilbily A, Gichoya JW, Chartier LB, Fawzy A, Barragán C, Jaberi A, Mafeld S. Warren BE, et al. Among authors: bilbily a. Can Assoc Radiol J. 2024 Mar 6:8465371241236377. doi: 10.1177/08465371241236377. Online ahead of print. Can Assoc Radiol J. 2024. PMID: 38445517 Free article. Review.

10

An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 1 Foundational Knowledge.

Warren BE, Bilbily A, Gichoya JW, Conway A, Li B, Fawzy A, Barragán C, Jaberi A, Mafeld S. Warren BE, et al. Among authors: bilbily a. Can Assoc Radiol J. 2024 Mar 6:8465371241236376. doi: 10.1177/08465371241236376. Online ahead of print. Can Assoc Radiol J. 2024. PMID: 38445497 Free article. Review.

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