My Bibliography

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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. 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. Eur Radiol. 2021 Apr;31(4):2644. doi: 10.1007/s00330-020-07285-8. PubMed PMID: 32945970.

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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. 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. Eur Radiol. 2021 Mar;31(3):1336-1346. doi: 10.1007/s00330-020-07214-9. Epub 2020 Sep 2. PubMed PMID: 32876839; PubMed Central PMCID: PMC7882016.

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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. A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI. EBioMedicine. 2021 Jan;63:103163. doi: 10.1016/j.ebiom.2020.103163. Epub 2020 Dec 13. PubMed PMID: 33321450; PubMed Central PMCID: PMC7744939.

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Hiremath A, Shiradkar R, Merisaari H, Prasanna P, Ettala O, Taimen P, Aronen HJ, Boström PJ, Jambor I, Madabhushi A. Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps. Eur Radiol. 2021 Jan;31(1):379-391. doi: 10.1007/s00330-020-07065-4. Epub 2020 Jul 23. PubMed PMID: 32700021; PubMed Central PMCID: PMC7821380.

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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. Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study. Cancers (Basel). 2020 Aug 6;12(8). doi: 10.3390/cancers12082200. PubMed PMID: 32781640; PubMed Central PMCID: PMC7465024.

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Merisaari H, Tuulari JJ, Karlsson L, Scheinin NM, Parkkola R, Saunavaara J, Lähdesmäki T, Lehtola SJ, Keskinen M, Lewis JD, Evans AC, Karlsson H. Test-retest reliability of Diffusion Tensor Imaging metrics in neonates. Neuroimage. 2019 Aug 15;197:598-607. doi: 10.1016/j.neuroimage.2019.04.067. Epub 2019 Apr 25. PubMed PMID: 31029873.

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Shiradkar R, Ghose S, Jambor I, Taimen P, Ettala O, Purysko AS, Madabhushi A. Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings. J Magn Reson Imaging. 2018 Dec;48(6):1626-1636. doi: 10.1002/jmri.26178. Epub 2018 May 7. PubMed PMID: 29734484; PubMed Central PMCID: PMC6222024.

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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. Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings. J Magn Reson Imaging. 2018 Feb 22;. doi: 10.1002/jmri.25983. [Epub ahead of print] PubMed PMID: 29469937; PubMed Central PMCID: PMC6105554.

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Ghose S, Shiradkar R, Rusu M, Mitra J, Thawani R, Feldman M, Gupta AC, Purysko AS, Ponsky L, Madabhushi A. Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary Findings. Sci Rep. 2017 Nov 20;7(1):15829. doi: 10.1038/s41598-017-13443-8. PubMed PMID: 29158516; PubMed Central PMCID: PMC5696460.

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Shiradkar R, Podder TK, Algohary A, Viswanath S, Ellis RJ, Madabhushi A. Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI. Radiat Oncol. 2016 Nov 10;11(1):148. doi: 10.1186/s13014-016-0718-3. PubMed PMID: 27829431; PubMed Central PMCID: PMC5103611.