Rubin D - Search Results

1

Differentiation of benign from malignant solid renal lesions using CT-based radiomics and machine learning: comparison with radiologist interpretation.

Wentland AL, Yamashita R, Kino A, Pandit P, Shen L, Brooke Jeffrey R, Rubin D, Kamaya A. Wentland AL, et al. Among authors: rubin d. Abdom Radiol (NY). 2023 Feb;48(2):642-648. doi: 10.1007/s00261-022-03735-7. Epub 2022 Nov 12. Abdom Radiol (NY). 2023. PMID: 36370180

2

Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization.

Power L, Acevedo L, Yamashita R, Rubin D, Martin I, Barbero A. Power L, et al. Among authors: rubin d. Osteoarthritis Cartilage. 2021 Mar;29(3):433-443. doi: 10.1016/j.joca.2020.12.018. Epub 2021 Jan 8. Osteoarthritis Cartilage. 2021. PMID: 33422705 Free article.

3

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models.

Alam MN, Yamashita R, Ramesh V, Prabhune T, Lim JI, Chan RVP, Hallak J, Leng T, Rubin D. Alam MN, et al. Among authors: rubin d. Sci Rep. 2023 Apr 13;13(1):6047. doi: 10.1038/s41598-023-33365-y. Sci Rep. 2023. PMID: 37055475 Free PMC article.

4

Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach.

Zambrano Chaves JM, Wentland AL, Desai AD, Banerjee I, Kaur G, Correa R, Boutin RD, Maron DJ, Rodriguez F, Sandhu AT, Rubin D, Chaudhari AS, Patel BN. Zambrano Chaves JM, et al. Among authors: rubin d. Sci Rep. 2023 Nov 29;13(1):21034. doi: 10.1038/s41598-023-47895-y. Sci Rep. 2023. PMID: 38030716 Free PMC article.

5

Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population.

Yang Y, Liu J, Sun C, Shi Y, Hsing JC, Kamya A, Keller CA, Antil N, Rubin D, Wang H, Ying H, Zhao X, Wu YH, Nguyen M, Lu Y, Yang F, Huang P, Hsing AW, Wu J, Zhu S. Yang Y, et al. Among authors: rubin d. Eur Radiol. 2023 Aug;33(8):5894-5906. doi: 10.1007/s00330-023-09515-1. Epub 2023 Mar 9. Eur Radiol. 2023. PMID: 36892645

6

2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data.

Ottesen JA, Yi D, Tong E, Iv M, Latysheva A, Saxhaug C, Jacobsen KD, Helland Å, Emblem KE, Rubin DL, Bjørnerud A, Zaharchuk G, Grøvik E. Ottesen JA, et al. Among authors: rubin dl. Front Neuroinform. 2023 Jan 18;16:1056068. doi: 10.3389/fninf.2022.1056068. eCollection 2022. Front Neuroinform. 2023. PMID: 36743439 Free PMC article.

7

Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction.

Tariq A, Tang S, Sakhi H, Celi LA, Newsome JM, Rubin DL, Trivedi H, Gichoy JW, Patel B, Banerjee I. Tariq A, et al. AMIA Annu Symp Proc. 2023 Apr 29;2022:1052-1061. eCollection 2022. AMIA Annu Symp Proc. 2023. PMID: 37128395 Free PMC article.

8

Clinical outcome prediction using observational supervision with electronic health records and audit logs.

Bhaskhar N, Ip W, Chen JH, Rubin DL. Bhaskhar N, et al. J Biomed Inform. 2023 Nov;147:104522. doi: 10.1016/j.jbi.2023.104522. Epub 2023 Oct 11. J Biomed Inform. 2023. PMID: 37827476 Free article.

9

Erratum: "MRI pulse sequence integration for deep-learning-based brain metastases segmentation".

Yi D, Grøvik E, Tong E, Iv M, Emblem KE, Nilsen LB, Saxhaug C, Latysheva A, Jacobsen KD, Helland Å, Zaharchuk G, Rubin D. Yi D, et al. Among authors: rubin d. Med Phys. 2023 Aug;50(8):5294. doi: 10.1002/mp.16594. Med Phys. 2023. PMID: 37573581 No abstract available.

10

Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography.

Razeghi O, Kapoor R, Alhusseini MI, Fazal M, Tang S, Roney CH, Rogers AJ, Lee A, Wang PJ, Clopton P, Rubin DL, Narayan SM, Niederer S, Baykaner T. Razeghi O, et al. J Cardiovasc Electrophysiol. 2023 May;34(5):1164-1174. doi: 10.1111/jce.15890. Epub 2023 Apr 27. J Cardiovasc Electrophysiol. 2023. PMID: 36934383 Free PMC article.

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