Maciej A. Mazurowski
Maciej A. Mazurowski
Associate Professor of Radiology, Electrical and Computer Eng., and Biostatistics and Bioinformatics
Bestätigte E-Mail-Adresse bei duke.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A systematic study of the class imbalance problem in convolutional neural networks
M Buda, A Maki, MA Mazurowski
Neural Networks 106, 249-259, 2018
8822018
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
7732008
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
183*2019
Radiogenomics: What It Is and Why It Is Important
MA Mazurowski
Journal of the American College of Radiology 12 (8), 862-866, 2015
1792015
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
1782014
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
1002015
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
952013
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
812018
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
632011
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
572019
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
532019
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
522019
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
482017
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
432019
Estimating confidence of individual rating predictions in collaborative filtering recommender systems
MA Mazurowski
Expert Systems with Applications 40 (10), 3847-3857, 2013
432013
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
412019
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
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
392018
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
382017
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