Karcich J - Search Results

1

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: karcich j. 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.

2

Does breast MRI background parenchymal enhancement indicate metabolic activity? Qualitative and 3D quantitative computer imaging analysis.

Mema E, Mango VL, Guo X, Karcich J, Yeh R, Wynn RT, Zhao B, Ha RS. Mema E, et al. Among authors: karcich j. J Magn Reson Imaging. 2018 Mar;47(3):753-759. doi: 10.1002/jmri.25798. Epub 2017 Jun 24. J Magn Reson Imaging. 2018. PMID: 28646614

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. Among authors: karcich j. 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

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: karcich j. 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: karcich j. 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

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: karcich j. 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.

7

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: karcich j. 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.

8

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.

Ha R, Mutasa S, Karcich J, Gupta N, Pascual Van Sant E, Nemer J, Sun M, Chang P, Liu MZ, Jambawalikar S. Ha R, et al. Among authors: karcich j. J Digit Imaging. 2019 Apr;32(2):276-282. doi: 10.1007/s10278-019-00179-2. J Digit Imaging. 2019. PMID: 30706213 Free PMC article.

9

Potential Role of Convolutional Neural Network Based Algorithm in Patient Selection for DCIS Observation Trials Using a Mammogram Dataset.

Mutasa S, Chang P, Van Sant EP, Nemer J, Liu M, Karcich J, Patel G, Jambawalikar S, Ha R. Mutasa S, et al. Among authors: karcich j. Acad Radiol. 2020 Jun;27(6):774-779. doi: 10.1016/j.acra.2019.08.012. Epub 2019 Sep 14. Acad Radiol. 2020. PMID: 31526687 Free PMC article.

10

Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network-Based Machine Learning Approach Using Mammographic Image Data.

Ha R, Mutasa S, Sant EPV, Karcich J, Chin C, Liu MZ, Jambawalikar S. Ha R, et al. Among authors: karcich j. AJR Am J Roentgenol. 2019 May;212(5):1166-1171. doi: 10.2214/AJR.18.20250. Epub 2019 Mar 12. AJR Am J Roentgenol. 2019. PMID: 30860901 Free PMC article.

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