Simukayi Mutasa

发表

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

Richard Ha, Peter D. Chang, Eralda Mema, 2018, Journal of Digital Imaging.

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

Simukayi Mutasa, Sowmya Varada, Akshay Goel, 2020, Journal of Digital Imaging.

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset

Richard Ha, Peter D. Chang, Simukayi Mutasa, 2018, Journal of Digital Imaging.

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

Yucheng Liu, Simukayi Mutasa, Sachin Jambawalikar, 2020, Comput. Biol. Medicine.

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

Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, 2018, Journal of Digital Imaging.

A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database.

Simukayi Mutasa, Sachin Jambawalikar, Peter Chang, 2020, Magnetic resonance imaging.

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

Simukayi Mutasa, Jenika Karcich, Sachin Jambawalikar, 2019, Academic radiology.

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

Richard Ha, Peter D. Chang, Simukayi Mutasa, 2019, Journal of Digital Imaging.

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

Simukayi Mutasa, Peter D. Chang, Carrie Ruzal-Shapiro, 2018, Journal of Digital Imaging.

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

Simukayi Mutasa, Jenika Karcich, Peter Chang, 2020, Academic radiology.

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks

Ulas Bagci, Bradford J. Wood, Elizabeth A. Krupinski, 2019, Journal of Digital Imaging.

Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.

Simukayi Mutasa, Peter Chang, Firas Ahmed, 2019, AJR. American journal of roentgenology.

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

Simukayi Mutasa, Jenika Karcich, Kevin Kalinsky, 2018, Journal of magnetic resonance imaging : JMRI.

Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.

Simukayi Mutasa, Richard Ha, S. Mutasa, 2019, AJR. American journal of roentgenology.