Simukayi Mutasa

According to our database, Simukayi Mutasa authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Deep learning prediction of axillary lymph node status using ultrasound images.

Shawn Sun, Simukayi Mutasa, Michael Z. Liu, John Nemer, Mary Sun, Maham Siddique, Elise Desperito, Sachin Jambawalikar, Richard S. Ha

Comput. Biol. Medicine, 2022

2020

Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification.

Simukayi Mutasa, Sowmya Varada, Akshay Goel, Tony T. Wong, Michael J. Rasiej

J. Digit. Imaging, 2020

Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.

Michael Z. Liu, Rami Vanguri, Simukayi Mutasa, Richard Ha, Yu-Cheng Liu, Terry Button, Sachin Jambawalikar

Comput. Biol. Medicine, 2020

2019

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.

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

J. Digit. Imaging, 2019

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

Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter D. Chang, Michael Z. Liu, Sachin Jambawalikar

J. Digit. Imaging, 2019

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

Richard Ha, Peter D. Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar

J. Digit. Imaging, 2019

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

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

J. Digit. Imaging, 2019

2018

MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

Simukayi Mutasa, Peter D. Chang, Carrie Ruzal-Shapiro, Rama Ayyala

J. Digit. Imaging, 2018

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

Richard Ha, Peter D. Chang, Jenika Karcich, Simukayi Mutasa, Reza Fardanesh, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar

J. Digit. Imaging, 2018