| Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance MA Mazurowski, PA Habas, JM Zurada, JY Lo, JA Baker, GD Tourassi Neural Networks 21 (2-3), 427-436, 2008 | 707 | 2008 |
| A systematic study of the class imbalance problem in convolutional neural networks M Buda, A Maki, MA Mazurowski Neural Networks 106, 249-259, 2018 | 668 | 2018 |
| Radiogenomics: What It Is and Why It Is Important MA Mazurowski Journal of the American College of Radiology 12 (8), 862-866, 2015 | 167 | 2015 |
| Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging MA Mazurowski, J Zhang, LJ Grimm, SC Yoon, JI Silber Radiology 273 (2), 365-372, 2014 | 159 | 2014 |
| Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI MA Mazurowski, M Buda, A Saha, MR Bashir Journal of Magnetic Resonance Imaging 49 (4), 939-954, 2019 | 128 | 2019 |
| Computational approach to radiogenomics of breast cancer: luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using … LJ Grimm, J Zhang, MA Mazurowski Journal of Magnetic Resonance Imaging 42 (4), 902-907, 2015 | 92 | 2015 |
| Imaging descriptors improve the predictive power of survival models for glioblastoma patients MA Mazurowski, A Desjardins, JM Malof Neuro-oncology 15 (10), 1389-1394, 2013 | 88 | 2013 |
| Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing EA AlBadawy, A Saha, MA Mazurowski Medical physics 45 (3), 1150-1158, 2018 | 62 | 2018 |
| Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis MA Mazurowski, JY Lo, BP Harrawood, GD Tourassi Journal of Biomedical Informatics 44 (5), 815-823, 2011 | 58 | 2011 |
| Deep Learning for identifying radiogenomic associations in breast cancer Z Zhu, E Albadawy, A Saha, J Zhang, MR Harowicz, MA Mazurowski Computers in biology and medicine 109, 85-90, 2019 | 46 | 2019 |
| Estimating confidence of individual rating predictions in collaborative filtering recommender systems MA Mazurowski Expert Systems with Applications 40 (10), 3847-3857, 2013 | 42 | 2013 |
| Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set EH Cain, A Saha, MR Harowicz, JR Marks, PK Marcom, MA Mazurowski Breast cancer research and treatment 173 (2), 455-463, 2019 | 41 | 2019 |
| Effects of MRI scanner parameters on breast cancer radiomics A Saha, X Yu, D Sahoo, MA Mazurowski Expert Systems with Applications 87, 384-391, 2017 | 41 | 2017 |
| Individualized computer-aided education in mammography based on user modeling: Concept and preliminary experiments MA Mazurowski, JA Baker, HX Barnhart, GD Tourassi Medical physics 37, 1152, 2010 | 40 | 2010 |
| Computer-extracted MR imaging features are associated with survival in glioblastoma patients MA Mazurowski, J Zhang, KB Peters, H Hobbs Journal of neuro-oncology 120 (3), 483-488, 2014 | 39 | 2014 |
| Decision optimization of case-based computer-aided decision systems using genetic algorithms with application to mammography MA Mazurowski, PA Habas, JM Zurada, GD Tourassi Physics in medicine and biology 53, 895, 2008 | 37 | 2008 |
| Management of thyroid nodules seen on US images: deep learning may match performance of radiologists M Buda, B Wildman-Tobriner, JK Hoang, D Thayer, FN Tessler, ... Radiology 292 (3), 695-701, 2019 | 35 | 2019 |
| Prediction of occult invasive disease in ductal carcinoma in situ using deep learning features B Shi, LJ Grimm, MA Mazurowski, JA Baker, JR Marks, LM King, ... Journal of the American College of Radiology 15 (3), 527-534, 2018 | 35 | 2018 |
| The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support JM Malof, MA Mazurowski, GD Tourassi Neural Networks 25, 141-145, 2012 | 35 | 2012 |
| Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The … MA Mazurowski, K Clark, NM Czarnek, P Shamsesfandabadi, KB Peters, ... Journal of neuro-oncology 133 (1), 27-35, 2017 | 31 | 2017 |
Georgia TourassiOak Ridge National Lab確認したメール アドレス: ornl.gov
