Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

27 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
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.
A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI.
Li L, Shiradkar R, Leo P, Algohary A, Fu P, Tirumani SH, Mahran A, Buzzy C, Obmann VC, Mansoori B, El-Fahmawi A, Shahait M, Tewari A, Magi-Galluzzi C, Lee D, Lal P, Ponsky L, Klein E, Purysko AS, Madabhushi A. Li L, et al. Among authors: shiradkar r. EBioMedicine. 2021 Jan;63:103163. doi: 10.1016/j.ebiom.2020.103163. Epub 2020 Dec 13. EBioMedicine. 2021. PMID: 33321450 Free PMC article.
27 results