Shah AD - Search Results

1

Qualitative and Quantitative Performance of Magnetic Resonance Image Compilation (MAGiC) Method: An Exploratory Analysis for Head and Neck Imaging.

Konar AS, Paudyal R, Shah AD, Fung M, Banerjee S, Dave A, Lee N, Hatzoglou V, Shukla-Dave A. Konar AS, et al. Among authors: shah ad. Cancers (Basel). 2022 Jul 26;14(15):3624. doi: 10.3390/cancers14153624. Cancers (Basel). 2022. PMID: 35892883 Free PMC article.

2

Computational Modeling of Interstitial Fluid Pressure and Velocity in Non-small Cell Lung Cancer Brain Metastases Treated With Stereotactic Radiosurgery.

Swinburne N, LoCastro E, Paudyal R, Oh JH, Taunk NK, Shah A, Beal K, Vachha B, Young RJ, Holodny AI, Shukla-Dave A, Hatzoglou V. Swinburne N, et al. Front Neurol. 2020 May 28;11:402. doi: 10.3389/fneur.2020.00402. eCollection 2020. Front Neurol. 2020. PMID: 32547470 Free PMC article.

3

Diffusion and Perfusion MRI Predicts Response Preceding and Shortly After Radiosurgery to Brain Metastases: A Pilot Study.

Shah AD, Shridhar Konar A, Paudyal R, Oh JH, LoCastro E, Nuñez DA, Swinburne N, Vachha B, Ulaner GA, Young RJ, Holodny AI, Beal K, Shukla-Dave A, Hatzoglou V. Shah AD, et al. J Neuroimaging. 2021 Mar;31(2):317-323. doi: 10.1111/jon.12828. Epub 2020 Dec 28. J Neuroimaging. 2021. PMID: 33370467 Free PMC article.

4

Quantitative Synthetic Magnetic Resonance Imaging for Brain Metastases: A Feasibility Study.

Konar AS, Shah AD, Paudyal R, Fung M, Banerjee S, Dave A, Hatzoglou V, Shukla-Dave A. Konar AS, et al. Among authors: shah ad. Cancers (Basel). 2022 May 27;14(11):2651. doi: 10.3390/cancers14112651. Cancers (Basel). 2022. PMID: 35681631 Free PMC article.

5

Quantitative Relaxometry Metrics for Brain Metastases Compared to Normal Tissues: A Pilot MR Fingerprinting Study.

Konar AS, Shah AD, Paudyal R, Fung M, Banerjee S, Dave A, Hatzoglou V, Shukla-Dave A. Konar AS, et al. Among authors: shah ad. Cancers (Basel). 2022 Nov 15;14(22):5606. doi: 10.3390/cancers14225606. Cancers (Basel). 2022. PMID: 36428699 Free PMC article.

6

Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI.

Swinburne NC, Yadav V, Murthy KNK, Elnajjar P, Shih HH, Panyam PK, Santilli A, Gutman DC, Pike L, Moss NS, Stone J, Hatzoglou V, Shah A, Juluru K, Shah SP, Holodny AI, Young RJ; M.S.K. MIND Consortium. Swinburne NC, et al. Eur Radiol. 2023 Sep;33(9):6582-6591. doi: 10.1007/s00330-023-09583-3. Epub 2023 Apr 12. Eur Radiol. 2023. PMID: 37042979 Free PMC article.

7

Artificial Intelligence in CT and MR Imaging for Oncological Applications.

Paudyal R, Shah AD, Akin O, Do RKG, Konar AS, Hatzoglou V, Mahmood U, Lee N, Wong RJ, Banerjee S, Shin J, Veeraraghavan H, Shukla-Dave A. Paudyal R, et al. Among authors: shah ad. Cancers (Basel). 2023 Apr 30;15(9):2573. doi: 10.3390/cancers15092573. Cancers (Basel). 2023. PMID: 37174039 Free PMC article. Review.

8

Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization.

Stember JN, Dishner K, Jenabi M, Pasquini L, K Peck K, Saha A, Shah A, O'Malley B, Ilica AT, Kelly L, Arevalo-Perez J, Hatzoglou V, Holodny A, Shalu H. Stember JN, et al. J Imaging Inform Med. 2024 Jul 9. doi: 10.1007/s10278-024-01188-6. Online ahead of print. J Imaging Inform Med. 2024. PMID: 38980624

9

Imaging of brain tumors: functional magnetic resonance imaging and diffusion tensor imaging.

Gupta A, Shah A, Young RJ, Holodny AI. Gupta A, et al. Neuroimaging Clin N Am. 2010 Aug;20(3):379-400. doi: 10.1016/j.nic.2010.04.004. Neuroimaging Clin N Am. 2010. PMID: 20708553 Review.

10

MRI perfusion in determining pseudoprogression in patients with glioblastoma.

Young RJ, Gupta A, Shah AD, Graber JJ, Chan TA, Zhang Z, Shi W, Beal K, Omuro AM. Young RJ, et al. Among authors: shah ad. Clin Imaging. 2013 Jan-Feb;37(1):41-9. doi: 10.1016/j.clinimag.2012.02.016. Epub 2012 Jun 8. Clin Imaging. 2013. PMID: 23151413 Free PMC article.

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