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Simukayi Mutasa
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2020 – today
- 2022
- [j9]Shawn Sun, Simukayi Mutasa, Michael Z. Liu, John Nemer, Mary Sun, Maham Siddique, Elise Desperito, Sachin Jambawalikar, Richard S. Ha:
Deep learning prediction of axillary lymph node status using ultrasound images. Comput. Biol. Medicine 143: 105250 (2022) - 2020
- [j8]Michael Z. Liu, Rami Vanguri, Simukayi Mutasa, Richard Ha, Yu-Cheng Liu, Terry Button, Sachin Jambawalikar:
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification. Comput. Biol. Medicine 122: 103798 (2020) - [j7]Simukayi Mutasa, Sowmya Varada, Akshay Goel, Tony T. Wong, Michael J. Rasiej:
Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification. J. Digit. Imaging 33(5): 1209-1217 (2020)
2010 – 2019
- 2019
- [j6]Richard Ha, Peter D. Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar:
Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. J. Digit. Imaging 32(1): 141-147 (2019) - [j5]Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter D. Chang, Michael Z. Liu, Sachin Jambawalikar:
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm. J. Digit. Imaging 32(2): 276-282 (2019) - [j4]Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, Lawrence H. Schwartz, Sachin Jambawalikar, Ulas Bagci:
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. J. Digit. Imaging 32(4): 597-604 (2019) - [j3]Richard Ha, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter D. Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph T. Wynn, Eileen Connolly, Sachin Jambawalikar:
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset. J. Digit. Imaging 32(5): 693-701 (2019) - 2018
- [j2]Simukayi Mutasa, Peter D. Chang, Carrie Ruzal-Shapiro, Rama Ayyala:
MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling. J. Digit. Imaging 31(4): 513-519 (2018) - [j1]Richard Ha, Peter D. Chang, Jenika Karcich, Simukayi Mutasa, Reza Fardanesh, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar:
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset. J. Digit. Imaging 31(6): 851-856 (2018)
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