Understanding artificial intelligence based radiology studies: What is overfitting? S Mutasa, S Sun, R Ha Clinical imaging 65, 96-99, 2020 | 178 | 2020 |
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 | 125 | 2019 |
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 | 106 | 2019 |
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 | 84 | 2018 |
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 | 70 | 2018 |
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 | 68 | 2019 |
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 | 66 | 2019 |
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 | 61 | 2019 |
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 | 60 | 2020 |
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 | 60 | 2019 |
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 | 50 | 2019 |
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 | 42 | 2019 |
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 | 36 | 2018 |
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 | 35 | 2020 |
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 | 32 | 2020 |
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 | 29 | 2020 |
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 | 28 | 2020 |
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 | 25 | 2021 |
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 | 23 | 2019 |
Deep learning prediction of axillary lymph node status using ultrasound images S Sun, S Mutasa, MZ Liu, J Nemer, M Sun, M Siddique, E Desperito, ... Computers in Biology and Medicine 143, 105250, 2022 | 21 | 2022 |