Jambawalikar S - Search Results

1

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. Among authors: jambawalikar s. 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.

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. Among authors: jambawalikar s. 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

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. Chemistry. 2018 Jul 25;24(42):10646-10652. doi: 10.1002/chem.201801388. Epub 2018 Jul 4. Chemistry. 2018. PMID: 29873848 Free PMC article.

4

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. Among authors: jambawalikar s. 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

5

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. Among authors: jambawalikar s. 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.

6

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. Among authors: jambawalikar s. 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.

7

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. Among authors: jambawalikar s. 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.

8

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. Among authors: jambawalikar s. 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.

9

Advanced MR Imaging of the Temporal Bone.

Jambawalikar S, Liu MZ, Moonis G. Jambawalikar S, et al. Neuroimaging Clin N Am. 2019 Feb;29(1):197-202. doi: 10.1016/j.nic.2018.09.009. Epub 2018 Oct 31. Neuroimaging Clin N Am. 2019. PMID: 30466642 Review.

10

Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography.

Stember JN, Chang P, Stember DM, Liu M, Grinband J, Filippi CG, Meyers P, Jambawalikar S. Stember JN, et al. Among authors: jambawalikar s. J Digit Imaging. 2019 Oct;32(5):808-815. doi: 10.1007/s10278-018-0162-z. J Digit Imaging. 2019. PMID: 30511281 Free PMC article.

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