Jambawalikar SR - Search Results

1

Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom.

Malyarenko DI, Swanson SD, Konar AS, LoCastro E, Paudyal R, Liu MZ, Jambawalikar SR, Schwartz LH, Shukla-Dave A, Chenevert TL. Malyarenko DI, et al. Among authors: jambawalikar sr. Tomography. 2019 Mar;5(1):36-43. doi: 10.18383/j.tom.2018.00030. Tomography. 2019. PMID: 30854440 Free PMC article.

2

Can diffusion-weighted imaging serve as a biomarker of fibrosis in pancreatic adenocarcinoma?

Hecht EM, Liu MZ, Prince MR, Jambawalikar S, Remotti HE, Weisberg SW, Garmon D, Lopez-Pintado S, Woo Y, Kluger MD, Chabot JA. Hecht EM, et al. J Magn Reson Imaging. 2017 Aug;46(2):393-402. doi: 10.1002/jmri.25581. Epub 2017 Feb 2. J Magn Reson Imaging. 2017. PMID: 28152252

3

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.

Ha R, Chang P, Karcich J, Mutasa S, Fardanesh R, Wynn RT, Liu MZ, Jambawalikar S. Ha R, et al. J Digit Imaging. 2018 Dec;31(6):851-856. doi: 10.1007/s10278-018-0086-7. J Digit Imaging. 2018. PMID: 29696472 Free PMC article.

4

Insulin Hexamer-Caged Gadolinium Ion as MRI Contrast-o-phore.

Taylor SK, Tran TH, Liu MZ, Harris PE, Sun Y, Jambawalikar SR, Tong L, Stojanovic MN. Taylor SK, et al. Among authors: jambawalikar sr. Chemistry. 2018 Jul 25;24(42):10646-10652. doi: 10.1002/chem.201801388. Epub 2018 Jul 4. Chemistry. 2018. PMID: 29873848 Free PMC article.

5

Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm.

Ha R, Chang P, Karcich J, Mutasa S, Van Sant EP, Connolly E, Chin C, Taback B, Liu MZ, Jambawalikar S. Ha R, et al. Ann Surg Oncol. 2018 Oct;25(10):3037-3043. doi: 10.1245/s10434-018-6613-4. Epub 2018 Jul 5. Ann Surg Oncol. 2018. PMID: 29978368

6

Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset.

Ha R, Chang P, Karcich J, Mutasa S, Pascual Van Sant E, Liu MZ, Jambawalikar S. Ha R, et al. Acad Radiol. 2019 Apr;26(4):544-549. doi: 10.1016/j.acra.2018.06.020. Epub 2018 Jul 31. Acad Radiol. 2019. PMID: 30072292 Free PMC article.

7

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.

Ha R, Chang P, Mema E, Mutasa S, Karcich J, Wynn RT, Liu MZ, Jambawalikar S. Ha R, et al. J Digit Imaging. 2019 Feb;32(1):141-147. doi: 10.1007/s10278-018-0114-7. J Digit Imaging. 2019. PMID: 30076489 Free PMC article.

8

Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score.

Ha R, Chang P, Mutasa S, Karcich J, Goodman S, Blum E, Kalinsky K, Liu MZ, Jambawalikar S. Ha R, et al. J Magn Reson Imaging. 2019 Feb;49(2):518-524. doi: 10.1002/jmri.26244. Epub 2018 Aug 21. J Magn Reson Imaging. 2019. PMID: 30129697 Free PMC article.

9

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

Ha R, Chin C, Karcich J, Liu MZ, Chang P, Mutasa S, Pascual Van Sant E, Wynn RT, Connolly E, Jambawalikar S. Ha R, et al. J Digit Imaging. 2019 Oct;32(5):693-701. doi: 10.1007/s10278-018-0144-1. J Digit Imaging. 2019. PMID: 30361936 Free PMC article.

10

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.

Shukla-Dave A, Obuchowski NA, Chenevert TL, Jambawalikar S, Schwartz LH, Malyarenko D, Huang W, Noworolski SM, Young RJ, Shiroishi MS, Kim H, Coolens C, Laue H, Chung C, Rosen M, Boss M, Jackson EF. Shukla-Dave A, et al. J Magn Reson Imaging. 2019 Jun;49(7):e101-e121. doi: 10.1002/jmri.26518. Epub 2018 Nov 19. J Magn Reson Imaging. 2019. PMID: 30451345 Free PMC article. Review.

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