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Simukayi Mutasa

Understanding artificial intelligence based radiology studies: What is overfitting?
2020 · Simukayi Mutasa, Shawn Sun, et al. · Clinical Imaging · 215
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset
2018 · Richard Ha, Christine Chin, et al. · Journal of Imaging Informatics in Medicine · 132
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm
2019 · Richard Ha, Simukayi Mutasa, et al. · Journal of Imaging Informatics in Medicine · 123
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Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification
2020 · Simukayi Mutasa, Sowmya Varada, et al. · Journal of Imaging Informatics in Medicine · 107
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MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling
2018 · Simukayi Mutasa, Peter D. Chang, et al. · Journal of Imaging Informatics in Medicine · 90
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Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage
2019 · Natasha Ironside, Ching-Jen Chen, et al. · Stroke · 83
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Global Trend in Artificial Intelligence–Based Publications in Radiology From 2000 to 2018
2019 · Elizabeth West, Simukayi Mutasa, et al. · American Journal of Roentgenology · 77
Convolutional Neural Network Using a Breast MRI Tumor Dataset Can Predict Oncotype Dx Recurrence Score
2018 · Richard Ha, Peter Chang, et al. · Journal of Magnetic Resonance Imaging · 71
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
2019 · J. N. Stember, H. Celik, et al. · Journal of Imaging Informatics in Medicine · 69
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Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset
2018 · Richard Ha, Peter Chang, et al. · Journal of Imaging Informatics in Medicine · 67
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Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset
2018 · Richard Ha, Peter Chang, et al. · Academic Radiology · 63
Deep learning prediction of axillary lymph node status using ultrasound images
2022 · Shawn Sun, Simukayi Mutasa, et al. · Computers in Biology and Medicine · 61
A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database
2020 · Michael Z. Liu, Simukayi Mutasa, et al. · Magnetic Resonance Imaging · 49
Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement
2018 · Richard Ha, Peter Chang, et al. · Journal of Imaging Informatics in Medicine · 47
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Rethinking Greulich and Pyle: A Deep Learning Approach to Pediatric Bone Age Assessment Using Pediatric Trauma Hand Radiographs
2020 · Ian Pan, Grayson L. Baird, et al. · Radiology Artificial Intelligence · 40
Understanding artificial intelligence based radiology studies: CNN architecture
2021 · Simukayi Mutasa, Shawn Sun, et al. · Clinical Imaging · 39
Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis
2020 · Hiram Shaish, Firas S. Ahmed, et al. · Annals of the American Thoracic Society · 39
Deep learning to detect left ventricular structural abnormalities in chest X-rays
2024 · Shreyas Bhave, Victor Rodriguez, et al. · European Heart Journal · 38
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Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral Hemorrhage
2020 · Natasha Ironside, Ching-Jen Chen, et al. · Stroke · 36
Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm
2018 · Richard Ha, Peter Chang, et al. · Annals of Surgical Oncology · 33
Gradient-Based Saliency Maps Are Not Trustworthy Visual Explanations of Automated AI Musculoskeletal Diagnoses
2024 · Kesavan Venkatesh, Simukayi Mutasa, et al. · Journal of Imaging Informatics in Medicine · 27
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Development and external validation of a prognostic tool for COVID-19 critical disease
2020 · Daniel S. Chow, Justin Glavis-Bloom, et al. · PLoS ONE · 26
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Accuracy of Distinguishing Atypical Ductal Hyperplasia From Ductal Carcinoma In Situ With Convolutional Neural Network–Based Machine Learning Approach Using Mammographic Image Data
2019 · Richard Ha, Simukayi Mutasa, et al. · American Journal of Roentgenology · 24
Breast cancer risk prediction combining a convolutional neural network-based mammographic evaluation with clinical factors
2023 · Alissa Michel, Vicky Ro, et al. · Breast Cancer Research and Treatment · 22
AI MSK clinical applications: orthopedic implants
2021 · Paul H. Yi, Simukayi Mutasa, et al. · Skeletal Radiology · 20
Works count: 50
Citation count: 1,721
H-index: 23
I10-index: 32
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