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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. Among authors: pahwa s. Eur Radiol. 2021 Apr;31(4):2644. doi: 10.1007/s00330-020-07285-8. Eur Radiol. 2021. PMID: 32945970 No abstract available.
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. Among authors: pahwa s. 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.
Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer.
Yu AC, Badve C, Ponsky LE, Pahwa S, Dastmalchian S, Rogers M, Jiang Y, Margevicius S, Schluchter M, Tabayoyong W, Abouassaly R, McGivney D, Griswold MA, Gulani V. Yu AC, et al. Among authors: pahwa s. Radiology. 2017 Jun;283(3):729-738. doi: 10.1148/radiol.2017161599. Epub 2017 Feb 10. Radiology. 2017. PMID: 28187264 Free PMC article.
Three-dimensional MR Fingerprinting for Quantitative Breast Imaging.
Chen Y, Panda A, Pahwa S, Hamilton JI, Dastmalchian S, McGivney DF, Ma D, Batesole J, Seiberlich N, Griswold MA, Plecha D, Gulani V. Chen Y, et al. Among authors: pahwa s. Radiology. 2019 Jan;290(1):33-40. doi: 10.1148/radiol.2018180836. Epub 2018 Oct 30. Radiology. 2019. PMID: 30375925 Free PMC article.
MR Fingerprinting for Rapid Quantitative Abdominal Imaging.
Chen Y, Jiang Y, Pahwa S, Ma D, Lu L, Twieg MD, Wright KL, Seiberlich N, Griswold MA, Gulani V. Chen Y, et al. Among authors: pahwa s. Radiology. 2016 Apr;279(1):278-86. doi: 10.1148/radiol.2016152037. Epub 2016 Jan 21. Radiology. 2016. PMID: 26794935 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: pahwa s. Cancers (Basel). 2020 Aug 6;12(8):2200. doi: 10.3390/cancers12082200. Cancers (Basel). 2020. PMID: 32781640 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: pahwa s. 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.
500 results