Maciej A. Mazurowski
Maciej A. Mazurowski
Associate Professor of Radiology, Electrical and Computer Eng., and Biostatistics and Bioinformatics
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Cited by
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
A systematic study of the class imbalance problem in convolutional neural networks
M Buda, A Maki, MA Mazurowski
Neural Networks 106, 249-259, 2018
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
Radiogenomics: What It Is and Why It Is Important
MA Mazurowski
Journal of the American College of Radiology 12 (8), 862-866, 2015
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
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
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
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
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
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
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
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
Estimating confidence of individual rating predictions in collaborative filtering recommender systems
MA Mazurowski
Expert Systems with Applications 40 (10), 3847-3857, 2013
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
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
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
Predictive utility of marketed volumetric software tools in subjects at risk for Alzheimer disease: do regions outside the hippocampus matter?
TP Tanpitukpongse, MA Mazurowski, J Ikhena, JR Petrella
American Journal of Neuroradiology 38 (3), 546-552, 2017
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
Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset
MR Harowicz, TJ Robinson, MA Dinan, A Saha, JR Marks, PK Marcom, ...
Breast cancer research and treatment 162 (1), 1-10, 2017
Exploring the potential of context-sensitive CADe in screening mammography
GD Tourassi, MA Mazurowski, BP Harrawood, EA Krupinski
Medical physics 37, 5728, 2010
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