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Page 1
Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges.
Diagnostics (Basel). 2021 Oct 22;11(11):1964. doi: 10.3390/diagnostics11111964.
Diagnostics (Basel). 2021.
PMID: 34829310
Free PMC article.
Review.
Deep learning COVID-19 detection bias: accuracy through artificial intelligence.
Vaid S, Kalantar R, Bhandari M.
Vaid S, et al. Among authors: kalantar r.
Int Orthop. 2020 Aug;44(8):1539-1542. doi: 10.1007/s00264-020-04609-7. Epub 2020 May 27.
Int Orthop. 2020.
PMID: 32462314
Free PMC article.
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Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19.
Kalantar R, Hindocha S, Hunter B, Sharma B, Khan N, Koh DM, Ahmed M, Aboagye EO, Lee RW, Blackledge MD.
Kalantar R, et al.
Sci Rep. 2023 Jun 29;13(1):10568. doi: 10.1038/s41598-023-36712-1.
Sci Rep. 2023.
PMID: 37386097
Free PMC article.
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Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging.
Kalantar R, Curcean S, Winfield JM, Lin G, Messiou C, Blackledge MD, Koh DM.
Kalantar R, et al.
Diagnostics (Basel). 2023 Nov 3;13(21):3381. doi: 10.3390/diagnostics13213381.
Diagnostics (Basel). 2023.
PMID: 37958277
Free PMC article.
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CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN).
Kalantar R, Messiou C, Winfield JM, Renn A, Latifoltojar A, Downey K, Sohaib A, Lalondrelle S, Koh DM, Blackledge MD.
Kalantar R, et al.
Front Oncol. 2021 Jul 30;11:665807. doi: 10.3389/fonc.2021.665807. eCollection 2021.
Front Oncol. 2021.
PMID: 34395244
Free PMC article.
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