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Simukayi Mutasa
Simukayi Mutasa
Board certified MSK Radiologist.
Verified email at radnet.com
Title
Cited by
Cited by
Year
Understanding artificial intelligence based radiology studies: What is overfitting?
S Mutasa, S Sun, R Ha
Clinical imaging 65, 96-99, 2020
1732020
Prior to initiation of chemotherapy, can we predict breast tumor response? Deep learning convolutional neural networks approach using a breast MRI tumor dataset
R Ha, C Chin, J Karcich, MZ Liu, P Chang, S Mutasa, E Pascual Van Sant, ...
Journal of digital imaging 32, 693-701, 2019
1232019
Predicting breast cancer molecular subtype with MRI dataset utilizing convolutional neural network algorithm
R Ha, S Mutasa, J Karcich, N Gupta, E Pascual Van Sant, J Nemer, M Sun, ...
Journal of digital imaging 32, 276-282, 2019
1032019
MABAL: a novel deep-learning architecture for machine-assisted bone age labeling
S Mutasa, PD Chang, C Ruzal-Shapiro, R Ayyala
Journal of digital imaging 31, 513-519, 2018
832018
Global trend in artificial intelligence–based publications in radiology from 2000 to 2018
E West, S Mutasa, Z Zhu, R Ha
American Journal of Roentgenology 213 (6), 1204-1206, 2019
682019
Axillary lymph node evaluation utilizing convolutional neural networks using MRI dataset
R Ha, P Chang, J Karcich, S Mutasa, R Fardanesh, RT Wynn, MZ Liu, ...
Journal of digital imaging 31, 851-856, 2018
682018
Eye tracking for deep learning segmentation using convolutional neural networks
JN Stember, H Celik, E Krupinski, PD Chang, S Mutasa, BJ Wood, ...
Journal of digital imaging 32, 597-604, 2019
642019
Fully automated segmentation algorithm for hematoma volumetric analysis in spontaneous intracerebral hemorrhage
N Ironside, CJ Chen, S Mutasa, JL Sim, S Marfatia, D Roh, D Ding, ...
Stroke 50 (12), 3416-3423, 2019
592019
Convolutional neural network using a breast MRI tumor dataset can predict oncotype Dx recurrence score
R Ha, P Chang, S Mutasa, J Karcich, S Goodman, E Blum, K Kalinsky, ...
Journal of Magnetic Resonance Imaging 49 (2), 518-524, 2019
562019
Advanced deep learning techniques applied to automated femoral neck fracture detection and classification
S Mutasa, S Varada, A Goel, TT Wong, MJ Rasiej
Journal of Digital Imaging 33 (5), 1209-1217, 2020
532020
Convolutional neural network based breast cancer risk stratification using a mammographic dataset
R Ha, P Chang, J Karcich, S Mutasa, EP Van Sant, MZ Liu, ...
Academic radiology 26 (4), 544-549, 2019
472019
Fully automated convolutional neural network method for quantification of breast MRI fibroglandular tissue and background parenchymal enhancement
R Ha, P Chang, E Mema, S Mutasa, J Karcich, RT Wynn, MZ Liu, ...
Journal of digital imaging 32, 141-147, 2019
412019
Development and external validation of a prognostic tool for COVID-19 critical disease
DS Chow, J Glavis-Bloom, JE Soun, B Weinberg, TB Loveless, X Xie, ...
PLoS One 15 (12), e0242953, 2020
342020
Predicting post neoadjuvant axillary response using a novel convolutional neural network algorithm
R Ha, P Chang, J Karcich, S Mutasa, EP Van Sant, E Connolly, C Chin, ...
Annals of surgical oncology 25, 3037-3043, 2018
322018
A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database
MZ Liu, S Mutasa, P Chang, M Siddique, S Jambawalikar, R Ha
Magnetic resonance imaging 73, 148-151, 2020
312020
Rethinking Greulich and Pyle: a deep learning approach to pediatric bone age assessment using pediatric trauma hand radiographs
I Pan, GL Baird, S Mutasa, D Merck, C Ruzal-Shapiro, DW Swenson, ...
Radiology: Artificial intelligence 2 (4), e190198, 2020
272020
Fully automated segmentation algorithm for perihematomal edema volumetry after spontaneous intracerebral hemorrhage
N Ironside, CJ Chen, S Mutasa, JL Sim, D Ding, S Marfatiah, D Roh, ...
Stroke 51 (3), 815-823, 2020
262020
Deep learning of computed tomography virtual wedge resection for prediction of histologic usual interstitial pneumonitis
H Shaish, FS Ahmed, D Lederer, B D’Souza, P Armenta, M Salvatore, ...
Annals of the American Thoracic Society 18 (1), 51-59, 2021
222021
Accuracy of distinguishing atypical ductal hyperplasia from ductal carcinoma in situ with convolutional neural network–based machine learning approach using mammographic image data
R Ha, S Mutasa, EPV Sant, J Karcich, C Chin, MZ Liu, S Jambawalikar
American Journal of Roentgenology 212 (5), 1166-1171, 2019
222019
Understanding artificial intelligence based radiology studies: CNN architecture
S Mutasa, S Sun, R Ha
Clinical Imaging 80, 72-76, 2021
202021
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