Maciej A. Mazurowski
Maciej A. Mazurowski
Associate Professor of Radiology, Electrical and Computer Eng., and Biostatistics and Bioinformatics
Verified email at duke.edu - Homepage
Title
Cited by
Cited by
Year
A systematic study of the class imbalance problem in convolutional neural networks
M Buda, A Maki, MA Mazurowski
Neural Networks 106, 249-259, 2018
9982018
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
8172008
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
210*2019
Radiogenomics: What It Is and Why It Is Important
MA Mazurowski
Journal of the American College of Radiology 12 (8), 862-866, 2015
1872015
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
1852014
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
1072015
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
962013
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
932018
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
652019
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
652019
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
622011
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
M Buda, A Saha, MA Mazurowski
Computers in biology and medicine 109, 218-225, 2019
592019
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
562019
Hierarchical convolutional neural networks for segmentation of breast tumors in mri with application to radiogenomics
J Zhang, A Saha, Z Zhu, MA Mazurowski
IEEE transactions on medical imaging 38 (2), 435-447, 2019
492019
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
492017
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
482017
Estimating confidence of individual rating predictions in collaborative filtering recommender systems
MA Mazurowski
Expert Systems with Applications 40 (10), 3847-3857, 2013
462013
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
432018
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
412014
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
402010
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