S. Mutasa

发表

Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage.

S. Mayer, E. Connolly, N. Ironside, 2019, Stroke.

Understanding artificial intelligence based radiology studies: What is overfitting?

Shawn H. Sun, S. Mutasa, R. Ha, 2020, Clinical imaging.

Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral Hemorrhage

S. Mayer, E. Connolly, N. Ironside, 2020, Stroke.

Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis

A. Saqi, S. Jambawalikar, S. Mutasa, 2020 .

Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancer

S. Mutasa, D. Hershman, R. Ha, 2022, Breast Cancer Research and Treatment.

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

S. Jambawalikar, S. Mutasa, R. Ha, 2019, AJR. American journal of roentgenology.

Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm

S. Jambawalikar, P. Chang, S. Mutasa, 2018, Annals of Surgical Oncology.

Deep learning prediction of axillary lymph node status using ultrasound images

Shawn H. Sun, S. Jambawalikar, S. Mutasa, 2022, Comput. Biol. Medicine.

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.

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks

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

The disproportionate rise in COVID-19 cases among Hispanic/Latinx in disadvantaged communities of Orange County, California: A socioeconomic case-series

A. Amin, B. Weinberg, S. Mutasa, 2020, medRxiv.

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.

Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?

S. Mutasa, P. Yi, Simukayi Mutasa, 2021, Skeletal 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.

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

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

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.

Dynamic Changes of Convolutional Neural Network-based Mammographic Breast Cancer Risk Score Among Women Undergoing Chemoprevention Treatment.

P. Chang, S. Mutasa, K. Crew, 2020, Clinical breast cancer.

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 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.

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

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

Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs.

I. Pan, S. Mutasa, R. Ayyala, 2020, Radiology. Artificial intelligence.

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

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

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset

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

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.

Breast cancer risk prediction combining a convolutional neural network-based mammographic evaluation with clinical factors

S. Mutasa, K. Crew, M. Terry, 2023, Breast Cancer Research and Treatment.

AI MSK clinical applications: orthopedic implants

S. Mutasa, J. Fritz, P. Yi, 2021, Skeletal Radiology.

Genetic dysregulation in recurrent respiratory papillomatosis

S. Mutasa, H. Spratt, M. Underbrink, 2014, The Laryngoscope.