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Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study.
Leo P, Janowczyk A, Elliott R, Janaki N, Bera K, Shiradkar R, Farré X, Fu P, El-Fahmawi A, Shahait M, Kim J, Lee D, Yamoah K, Rebbeck TR, Khani F, Robinson BD, Eklund L, Jambor I, Merisaari H, Ettala O, Taimen P, Aronen HJ, Boström PJ, Tewari A, Magi-Galluzzi C, Klein E, Purysko A, Nc Shih N, Feldman M, Gupta S, Lal P, Madabhushi A. Leo P, et al. Among authors: shiradkar r. NPJ Precis Oncol. 2021 May 3;5(1):35. doi: 10.1038/s41698-021-00174-3. NPJ Precis Oncol. 2021. PMID: 33941830 Free PMC article.
Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings.
Algohary A, Viswanath S, Shiradkar R, Ghose S, Pahwa S, Moses D, Jambor I, Shnier R, Böhm M, Haynes AM, Brenner P, Delprado W, Thompson J, Pulbrock M, Purysko AS, Verma S, Ponsky L, Stricker P, Madabhushi A. Algohary A, et al. Among authors: shiradkar r. J Magn Reson Imaging. 2018 Feb 22:10.1002/jmri.25983. doi: 10.1002/jmri.25983. Online ahead of print. J Magn Reson Imaging. 2018. PMID: 29469937 Free PMC article.
Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.
Hiremath A, Shiradkar R, Merisaari H, Prasanna P, Ettala O, Taimen P, Aronen HJ, Boström PJ, Jambor I, Madabhushi A. Hiremath A, et al. Among authors: shiradkar r. Eur Radiol. 2021 Jan;31(1):379-391. doi: 10.1007/s00330-020-07065-4. Epub 2020 Jul 23. Eur Radiol. 2021. PMID: 32700021 Free PMC article.
Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study.
Algohary A, Shiradkar R, Pahwa S, Purysko A, Verma S, Moses D, Shnier R, Haynes AM, Delprado W, Thompson J, Tirumani S, Mahran A, Rastinehad AR, Ponsky L, Stricker PD, Madabhushi A. Algohary A, et al. Among authors: shiradkar r. Cancers (Basel). 2020 Aug 6;12(8):2200. doi: 10.3390/cancers12082200. Cancers (Basel). 2020. PMID: 32781640 Free PMC article.
T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
Shiradkar R, Panda A, Leo P, Janowczyk A, Farre X, Janaki N, Li L, Pahwa S, Mahran A, Buzzy C, Fu P, Elliott R, MacLennan G, Ponsky L, Gulani V, Madabhushi A. Shiradkar R, et al. Eur Radiol. 2021 Mar;31(3):1336-1346. doi: 10.1007/s00330-020-07214-9. Epub 2020 Sep 2. Eur Radiol. 2021. PMID: 32876839 Free PMC article.
Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
Shiradkar R, Panda A, Leo P, Janowczyk A, Farre X, Janaki N, Li L, Pahwa S, Mahran A, Buzzy C, Fu P, Elliott R, MacLennan G, Ponsky L, Gulani V, Madabhushi A. Shiradkar R, et al. Eur Radiol. 2021 Apr;31(4):2644. doi: 10.1007/s00330-020-07285-8. Eur Radiol. 2021. PMID: 32945970 No abstract available.
30 results