Maciej A Mazurowski | Scholars@Duke

Maciej A Mazurowski
Associate Professor in Radiology

Current Appointments & Affiliations

Associate Professor in Radiology, Radiology, Clinical Science Departments 2018
Associate Professor in Biostatistics and Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2018
Associate Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2018
Associate Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2018
Member of the Duke Cancer Institute, Duke Cancer Institute, Institutes and Centers 2013

Contact Information

Box 2731 Med Ctr, Durham, NC 27710
Dept Of Radiology, Durham, NC 27710
maciej.mazurowski@duke.edu (919) 684-1440

Background
Education, Training, & Certifications
- Ph.D., University of Louisville 2008
Duke Appointment History
- Assistant Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2015 - 2018
- Associate Professor in Radiology, Radiology, Clinical Science Departments 2017
- Assistant Professor of Radiology, Radiology, Clinical Science Departments 2012 - 2017
Research
Selected Grants
- Breast Cancer Detection Consortium awarded by National Institutes of Health 2016 - 2021
- Can contrast dynamics in breast MRI predict genomic intra-tumor heterogeneity awarded by Bracco Diagnostics, Inc. 2016 - 2020
- Machine learning and collaborative filtering tools for personalized education in digital breast tomosynthesis awarded by National Institutes of Health 2016 - 2020
- Automated Image Quality Assessment Utilizing Machine Learning in Clinical Chest Projection Imaging in Young Children awarded by Society for Pediatric Radiology 2018 - 2019
- Comparison of cervical transforaminal epidural corticosteroid injections with lateralized interlaminar epidural corticosteroid injections for treatment of cervicogenic upper extremity radiculopathy awarded by American Society of Neuroradiology 2017 - 2019
- Commericialization of a computational imaging-based biomarker for prognostication in breast cancer awarded by North Carolina Biotechnology Center 2016 - 2017
- Development of a personalized evidence-based algorithm for the management of suspicious calcifications awarded by Ge-Aur Radiology Research 2015 - 2017
- Improved education in digital breast tomosynthesis using machine learning and computer vision tools awarded by Radiological Society of North America 2014 - 2016
- Information-Theoretic Based CAD in Mammography awarded by National Institutes of Health 2003 - 2011
- Tomosynthesis for Improved Breast Cancer Detection awarded by National Institutes of Health 2006 - 2011
Publications & Artistic Works
Selected Publications
- Conference Papers
  - Hou, R, Shi, B, Grimm, LJ, Mazurowski, MA, Marks, JR, King, LM, Maley, CC, Hwang, ES, and Lo, JY. "Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features." SPIE, 2018.
  - Saha, A, Harowicz, MR, Grimm, LJ, Kim, CE, Ghate, SV, Walsh, R, and Mazurowski, MA. "Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: A large scale evaluation." January 1, 2018. Full Text
  - Shi, B, Hou, R, Mazurowski, MA, Grimm, LJ, Ren, Y, Marks, JR, King, LM, Maley, CC, Hwang, ES, and Lo, JY. "Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning." SPIE, 2018.
  - Zhang, J, Cain, EH, Saha, A, Zhu, Z, and Mazurowski, MA. "Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression." January 1, 2018. Full Text
  - Zhang, J, Ghate, SV, Grimm, LJ, Saha, A, Cain, EH, Zhu, Z, and Mazurowski, MA. "Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis." January 1, 2018. Full Text
  - Zhang, J, Saha, A, Zhu, Z, and Mazurowski, MA. "Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics." January 1, 2018. Full Text
  - Zhu, Z, Albadawy, E, Saha, A, Zhang, J, Harowicz, MR, and Mazurowski, MA. "Breast cancer molecular subtype classification using deep features: Preliminary results." January 1, 2018. Full Text
  - Zhu, Z, Harowicz, M, Zhang, J, Saha, A, Grimm, LJ, Hwang, S, and Mazurowski, MA. "Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: Preliminary data." January 1, 2018. Full Text
  - Harowicz, MR, Marks, JR, Kelly Marcom, P, and Mazurowski, MA. "Can BI-RADS features on mammography be used as a surrogate for expensive genomic testing in breast cancer patients?." January 1, 2017. Full Text
  - Mazurowski, MA, Clark, K, Czarnek, NM, Shamsesfandabadi, P, Peters, KB, and Saha, A. "Radiogenomic analysis of lower grade glioma: A pilot multi-institutional study shows an association between quantitative image features and tumor genomics." January 1, 2017. Full Text
  - Paredes, D, Saha, A, and Mazurowski, MA. "Deep learning for segmentation of brain tumors: Can we train with images from different institutions?." January 1, 2017. Full Text
  - Shi, B, Grimm, LJ, Mazurowski, MA, Marks, JR, King, LM, Maley, CC, Hwang, ES, and Lo, JY. "Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features." January 1, 2017. Full Text
  - Shi, B, Grimm, LJ, Mazurowski, MA, Marks, JR, King, LM, Maley, CC, Hwang, ES, and Lo, JY. "Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?." January 1, 2017. Full Text
  - Czarnek, NM, Clark, K, Peters, KB, Collins, LM, and Mazurowski, MA. "Radiogenomics of glioblastoma: A pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype." January 1, 2016. Full Text
  - Mazurowski, MA, Czarnek, NM, Collins, LM, Peters, KB, and Clark, K. "Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape - Preliminary data." January 1, 2016. Full Text
  - Wang, M, Zhang, J, Grimm, LJ, Ghate, SV, Walsh, R, Johnson, KS, Lo, JY, and Mazurowski, MA. "Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features." January 1, 2016. Full Text
  - Grimm, LJ, Zhang, J, Johnson, KS, Lo, JY, and Mazurowski, MA. "Incorporating breast tomosynthesis into radiology residency: Does trainee experience in breast imaging translate into improved performance with this new modality?." January 1, 2015. Full Text
  - Mazurowski, MA, Zhang, J, Lo, JY, Kuzmiak, CM, Ghate, SV, and Yoon, S. "Modeling resident error-making patterns in detection of mammographic masses using computer-extracted image features: Preliminary experiments." January 1, 2014. Full Text
  - Mazurowski, MA, Lo, JY, and Tourassi, GD. "User modeling for improved computer-aided training in radiology: Initial experience." December 1, 2010. Full Text
  - Tourassi, GD, Mazurowski, MA, and Krupinski, EA. "Perception-Driven IT-CADe Analysis for the Detection of Masses in Screening Mammography: Initial Investigation." 2010. Full Text Link to Item
- Journal Articles
  - Buda, M, Maki, A, and Mazurowski, MA. "A systematic study of the class imbalance problem in convolutional neural networks." Neural Networks : the Official Journal of the International Neural Network Society 106 (October 2018): 249-259. Full Text
  - Enslow, MS, Preece, SR, Wildman-Tobriner, B, Enslow, RA, Mazurowski, M, and Nelson, RC. "Splenic contraction: a new member of the hypovolemic shock complex." Abdominal Radiology (New York) 43, no. 9 (September 2018): 2375-2383. Full Text
  - Saha, A, Harowicz, MR, Grimm, LJ, Kim, CE, Ghate, SV, Walsh, R, and Mazurowski, MA. "A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features." British Journal of Cancer 119, no. 4 (August 2018): 508-516. Full Text
  - Saha, A, Harowicz, MR, Cain, EH, Hall, AH, Hwang, E-SS, Marks, JR, Marcom, PK, and Mazurowski, MA. "Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival." Breast Cancer Research and Treatment (July 10, 2018). Full Text
  - Saha, A, Harowicz, MR, and Mazurowski, MA. "Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors." Medical Physics 45, no. 7 (July 2018): 3076-3085. Full Text
  - Allen, BC, Ho, LM, Jaffe, TA, Miller, CM, Mazurowski, MA, and Bashir, MR. "Comparison of Visualization Rates of LI-RADS Version 2014 Major Features With IV Gadobenate Dimeglumine or Gadoxetate Disodium in Patients at Risk for Hepatocellular Carcinoma." Ajr. American Journal of Roentgenology 210, no. 6 (June 2018): 1266-1272. Full Text
  - Saha, A, Harowicz, MR, Wang, W, and Mazurowski, MA. "A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models." Journal of Cancer Research and Clinical Oncology 144, no. 5 (May 2018): 799-807. Full Text
  - Grimm, LJ, Saha, A, Ghate, SV, Kim, C, Soo, MS, Yoon, SC, and Mazurowski, MA. "Relationship between Background Parenchymal Enhancement on High-risk Screening MRI and Future Breast Cancer Risk." Academic Radiology (March 27, 2018). Full Text
  - AlBadawy, EA, Saha, A, and Mazurowski, MA. "Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing." Medical Physics 45, no. 3 (March 2018): 1150-1158. Full Text
  - Shi, B, Grimm, LJ, Mazurowski, MA, Baker, JA, Marks, JR, King, LM, Maley, CC, Hwang, ES, and Lo, JY. "Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features." Journal of the American College of Radiology : JACR 15, no. 3 Pt B (March 2018): 527-534. Full Text
  - Harowicz, MR, Saha, A, Grimm, LJ, Marcom, PK, Marks, JR, Hwang, ES, and Mazurowski, MA. "Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?." Journal of magnetic resonance imaging : JMRI 46, no. 5 (November 2017): 1332-1340. Full Text
  - Saha, A, Yu, X, Sahoo, D, and Mazurowski, MA. "Effects of MRI scanner parameters on breast cancer radiomics." Expert Systems With Applications 87 (November 2017): 384-391. Full Text
  - Grimm, LJ, Zhang, J, Baker, JA, Soo, MS, Johnson, KS, and Mazurowski, MA. "Relationships Between MRI Breast Imaging-Reporting and Data System (BI-RADS) Lexicon Descriptors and Breast Cancer Molecular Subtypes: Internal Enhancement is Associated with Luminal B Subtype." The breast journal 23, no. 5 (September 2017): 579-582. Full Text
  - Shi, B, Grimm, LJ, Mazurowski, MA, Baker, JA, Marks, JR, King, LM, Maley, CC, Hwang, ES, and Lo, JY. "Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?." Academic Radiology 24, no. 9 (September 2017): 1139-1147. Full Text
  - Wildman-Tobriner, B, Allen, BC, Bashir, MR, Camp, M, Miller, C, Fiorillo, LE, Cubre, A, Javadi, S, Bibbey, AD, Ehieli, WL, McGreal, N, Quevedo, R, Thacker, JK, Mazurowski, M, and Jaffe, TA. "Structured reporting of CT enterography for inflammatory bowel disease: effect on key feature reporting, accuracy across training levels, and subjective assessment of disease by referring physicians." Abdominal Radiology (New York) 42, no. 9 (September 2017): 2243-2250. Full Text
  - Mazurowski, MA, Clark, K, Czarnek, NM, Shamsesfandabadi, P, Peters, KB, and Saha, A. "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 Cancer Genome Atlas data." Journal of Neuro Oncology 133, no. 1 (May 3, 2017): 27-35. Full Text
  - Czarnek, N, Clark, K, Peters, KB, and Mazurowski, MA. "Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study." Journal of neuro-oncology 132, no. 1 (March 2017): 55-62. Full Text
  - Tanpitukpongse, TP, Mazurowski, MA, Ikhena, J, Petrella, JR, and Alzheimer's Disease Neuroimaging Initiative, . "Predictive Utility of Marketed Volumetric Software Tools in Subjects at Risk for Alzheimer Disease: Do Regions Outside the Hippocampus Matter?." Ajnr. American Journal of Neuroradiology 38, no. 3 (March 2017): 546-552. Full Text
  - Harowicz, MR, Robinson, TJ, Dinan, MA, Saha, A, Marks, JR, Marcom, PK, and Mazurowski, MA. "Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset." Breast Cancer Research and Treatment 162, no. 1 (February 2017): 1-10. Full Text
  - Wang, M, Wang, M, Grimm, LJ, and Mazurowski, MA. "A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases." Expert Systems With Applications 64 (December 2016): 490-499. Full Text
  - Wang, M, Zhang, J, Grimm, LJ, Ghate, SV, Walsh, R, Johnson, KS, Lo, JY, and Mazurowski, MA. "Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach." Expert Systems with Applications 56 (September 2016): 1-8. Full Text
  - Saha, A, Grimm, LJ, Harowicz, M, Ghate, SV, Kim, C, Walsh, R, and Mazurowski, MA. "Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics." Medical Physics 43, no. 8 (August 2016): 4558-null. Full Text
  - Grimm, LJ, Zhang, J, Lo, JY, Johnson, KS, Ghate, SV, Walsh, R, and Mazurowski, MA. "Radiology Trainee Performance in Digital Breast Tomosynthesis: Relationship Between Difficulty and Error-Making Patterns." Journal of the American College of Radiology : JACR 13, no. 2 (February 2016): 198-202. Full Text
  - Mazurowski, MA. "Author's Reply." Journal of the American College of Radiology : JACR 13, no. 2 (February 2016): 121-122. (Letter) Full Text
  - Mazurowski, MA, Grimm, LJ, Zhang, J, Marcom, PK, Yoon, SC, Kim, C, Ghate, SV, and Johnson, KS. "Recurrence-free survival in breast cancer is associated with MRI tumor enhancement dynamics quantified using computer algorithms." European journal of radiology 84, no. 11 (November 2015): 2117-2122. Full Text
  - Grimm, LJ, Zhang, J, and Mazurowski, MA. "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 computer vision algorithms." Journal of Magnetic Resonance Imaging : Jmri 42, no. 4 (October 2015): 902-907. Full Text
  - Mazurowski, MA. "Radiogenomics: what it is and why it is important." Journal of the American College of Radiology : Jacr 12, no. 8 (August 2015): 862-866. Full Text
  - Zhang, J, Grimm, LJ, Lo, JY, Johnson, KS, Ghate, SV, Walsh, R, and Mazurowski, MA. "Does Breast Imaging Experience During Residency Translate Into Improved Initial Performance in Digital Breast Tomosynthesis?." Journal of the American College of Radiology : JACR 12, no. 7 (July 2015): 728-732. Full Text
  - Zhang, J, Silber, JI, and Mazurowski, MA. "Modeling false positive error making patterns in radiology trainees for improved mammography education." Journal of biomedical informatics 54 (April 2015): 50-57. Full Text
  - Mazurowski, MA, Grimm, LJ, Zhang, J, Marcom, PK, Yoon, SC, Kim, C, Ghate, SV, and Johnson, KS. "Recurrence-free survival in breast cancer is associated with MRI tumor enhancement dynamics quantified using computer algorithms." European Journal of Radiology 84, no. 11 (2015): 2117-2122. Full Text
  - Mazurowski, MA, Zhang, J, Peters, KB, and Hobbs, H. "Computer-extracted MR imaging features are associated with survival in glioblastoma patients." Journal of Neuro Oncology 120, no. 3 (December 2014): 483-488. Full Text
  - Mazurowski, MA, Zhang, J, Peters, KB, and Hobbs, H. "Computer-extracted MR imaging features are associated with survival in glioblastoma patients." Journal of Neuro-Oncology 120, no. 3 (November 18, 2014): 483-488. Full Text
  - Mazurowski, MA, Zhang, J, Grimm, LJ, Yoon, SC, and Silber, JI. "Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging." Radiology 273, no. 2 (November 2014): 365-372. Full Text
  - Zhang, J, Lo, JY, Kuzmiak, CM, Ghate, SV, Yoon, SC, and Mazurowski, MA. "Using computer-extracted image features for modeling of error-making patterns in detection of mammographic masses among radiology residents." Medical physics 41, no. 9 (September 2014): 091907-. Full Text
  - Grimm, LJ, Kuzmiak, CM, Ghate, SV, Yoon, SC, and Mazurowski, MA. "Radiology resident mammography training: interpretation difficulty and error-making patterns." Academic radiology 21, no. 7 (July 2014): 888-892. Full Text
  - Grimm, LJ, Shapiro, LM, Singhapricha, T, Mazurowski, MA, Desser, TS, and Maxfield, CM. "Predictors of an academic career on radiology residency applications." Academic radiology 21, no. 5 (May 2014): 685-690. Full Text
  - Zhang, J, Barboriak, DP, Hobbs, H, and Mazurowski, MA. "A fully automatic extraction of magnetic resonance image features in glioblastoma patients." Medical physics 41, no. 4 (April 2014): 042301-. Full Text
  - Grimm, LJ, Ghate, SV, Yoon, SC, Kuzmiak, CM, Kim, C, and Mazurowski, MA. "Predicting error in detecting mammographic masses among radiology trainees using statistical models based on BI-RADS features." Medical physics 41, no. 3 (March 2014): 031909-. Full Text
  - Grimm, LJ, Ghate, SV, Yoon, SC, Kuzmiak, CM, Kim, C, and Mazurowski, MA. "Predicting error in detecting mammographic masses among radiology trainees using statistical models based on BI-RADS features." Medical Physics 41, no. 3 (February 26, 2014): 031909-031909. Full Text
  - Grimm, LJ, Shapiro, LM, Singhapricha, T, Mazurowski, MA, Desser, TS, and Maxfield, CM. "Predictors of an academic career on radiology residency applications." Academic Radiology 21, no. 5 (January 1, 2014): 685-690. Full Text
  - Mazurowski, MA, Desjardins, A, and Malof, JM. "Imaging descriptors improve the predictive power of survival models for glioblastoma patients." Neuro Oncol 15, no. 10 (October 2013): 1389-1394. Full Text Link to Item
  - Mazurowski, MA. "Estimating confidence of individual rating predictions in collaborative filtering recommender systems." Expert Systems with Applications 40, no. 10 (2013): 3847-3857. Full Text
  - Mazurowski, MA. "Difficulty of mammographic cases in the context of resident training: Preliminary experimental data." Proceedings of SPIE - The International Society for Optical Engineering 8673 (2013). Full Text
  - Mazurowski, MA, Barnhart, HX, Baker, JA, and Tourassi, GD. "Identifying error-making patterns in assessment of mammographic BI-RADS descriptors among radiology residents using statistical pattern recognition." Acad Radiol 19, no. 7 (July 2012): 865-871. Full Text Link to Item
  - Malof, JM, Mazurowski, MA, and Tourassi, GD. "The effect of class imbalance on case selection for case-based classifiers: an empirical study in the context of medical decision support." Neural Netw 25, no. 1 (January 2012): 141-145. Full Text Link to Item
  - Mazurowski, MA, Lo, JY, Harrawood, BP, and Tourassi, GD. "Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis." J Biomed Inform 44, no. 5 (October 2011): 815-823. Full Text Link to Item
  - Mazurowski, MA, Malof, JM, and Tourassi, GD. "Comparative analysis of instance selection algorithms for instance-based classifiers in the context of medical decision support." Phys Med Biol 56, no. 2 (January 21, 2011): 473-489. Full Text Link to Item
  - Mazurowski, MA, and Tourassi, GD. "Exploring the potential of collaborative filtering for user-adaptive mammography education." Proceedings of the 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011 (2011). Full Text
  - Mazurowski, MA, and Tourassi, GD. "Modeling error in assessment of mammographic image features for improved computer-aided mammography training: Initial experience." Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7966 (2011). Full Text
  - Tourassi, GD, Mazurowski, MA, Harrawood, BP, and Krupinski, EA. "Exploring the potential of context-sensitive CADe in screening mammography." Med Phys 37, no. 11 (November 2010): 5728-5736. Full Text Link to Item
  - Mazurowski, MA, Baker, JA, Barnhart, HX, and Tourassi, GD. "Individualized computer-aided education in mammography based on user modeling: concept and preliminary experiments." Med Phys 37, no. 3 (March 2010): 1152-1160. Full Text Link to Item
  - Zurada, JM, Mazurowski, MA, Ragade, R, Abdullin, A, Wojtudiak, J, and Gentle, J. "Building virtual community in computational intelligence and machine learning." Ieee Computational Intelligence Magazine 4, no. 1 (November 6, 2009). Full Text
  - Mazurowski, MA, Zurada, JM, and Tourassi, GD. "An adaptive incremental approach to constructing ensemble classifiers: application in an information-theoretic computer-aided decision system for detection of masses in mammograms." Med Phys 36, no. 7 (July 2009): 2976-2984. Full Text Link to Item
  - Malof, JM, Mazurowski, MA, and Tourassi, GD. "The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems." Proceedings of the International Joint Conference on Neural Networks (2009): 1975-1980. Full Text
  - Mazurowski, MA, Malof, JM, Zurada, JM, and Tourassi, GD. "A comparative study of database reduction methods for case-based computer-aided detection systems: Preliminary results." Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7260 (2009). Full Text
  - Mazurowski, MA, and Tourassi, GD. "Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy." Proceedings of the International Joint Conference on Neural Networks (2009): 2045-2049. Full Text
  - Mazurowski, MA, and Tourassi, GD. "Relational representation for improved decisions with an information-theoretic CADe system: Initial experience." Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7260 (2009). Full Text
  - Zurada, JM, Wojtusiak, J, Chowdhury, F, Gentle, JE, Jeannot, CJ, and Mazurowski, MA. "Computational intelligence virtual community: Framework and implementation issues." Proceedings of the International Joint Conference on Neural Networks (November 24, 2008): 3153-3157. Full Text
  - Mazurowski, MA, Zurada, JM, and Tourassi, GD. "Selection of examples in case-based computer-aided decision systems." Phys Med Biol 53, no. 21 (November 7, 2008): 6079-6096. Full Text Link to Item
  - Mazurowski, MA, Zurada, JM, and Tourassi, GD. "Reliability assessment of ensemble classifiers: Application in mammography." Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5116 LNCS (September 9, 2008): 366-370. Full Text
  - Mazurowski, MA, Habas, PA, Zurada, JM, Lo, JY, Baker, JA, and Tourassi, GD. "Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance." Neural Networks : the Official Journal of the International Neural Network Society 21, no. 2-3 (March 2008): 427-436. Full Text
  - Mazurowski, MA, Habas, PA, Zurada, JM, and Tourassi, GD. "Decision optimization of case-based computer-aided decision systems using genetic algorithms with application to mammography." Physics in Medicine and Biology 53, no. 4 (February 2008): 895-908. Full Text
  - Mazurowski, MA, Harrawood, BP, Zurada, JM, and Tourassi, GD. "Toward perceptually driven image retrieval in mammography: A pilot observer study to assess visual similarity of masses." Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6917 (2008). Full Text
  - Mazurowski, MA, Zurada, JM, and Tourassi, GD. "Database decomposition of a knowledge-based CAD system in mammography; An ensemble approach to improve detection." Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6915 (2008). Full Text
  - Zurada, JM, Aizenberg, I, and Mazurowski, MA. "Learning in networks: Complex-valued neurons, pruning, and rule extraction." 2008 4th International IEEE Conference Intelligent Systems, IS 2008 1 (2008): 115-120. Full Text
  - Mazurowski, MA, Habas, PA, Zurada, JM, and Tourassi, GD. "Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms." 2007 Ieee Congress on Evolutionary Computation, Cec 2007 (December 1, 2007): 600-605. Full Text
  - Mazurowski, MA, and Zurada, JM. "Solving decentralized multi-agent control problems with genetic algorithms." 2007 Ieee Congress on Evolutionary Computation, Cec 2007 (December 1, 2007): 1029-1034. Full Text
  - Tourassi, GD, Jesneck, JL, Mazurowski, MA, and Habas, PA. "Stacked generalization in computer-assisted decision systems: Empirical comparison of data handling schemes." Ieee International Conference on Neural Networks Conference Proceedings (December 1, 2007): 1343-1347. Full Text
  - Mazurowski, MA, Habas, PA, Zurada, JM, and Tourassi, GD. "Impact of low class prevalence on the performance evaluation of neural network based classifiers: Experimental study in the context of computer-assisted medical diagnosis." IEEE International Conference on Neural Networks - Conference Proceedings (2007): 2005-2009. Full Text
  - Mazurowski, MA, and Zurada, JM. "Solving multi-agent control problems using particle swarm optimization." Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007 (2007): 105-111. Full Text
  - Mazurowski, MA, and Szecówka, PM. "Limitations of sensitivity analysis for neural networks in cases with dependent inputs." 2006 IEEE International Conference on Computational Cybernetics, ICCC (2006). Full Text
  - Mazurowski, MA, and Zurada, JM. "Emergence of communication in multi-agent systems using reinforcement learning." 2006 IEEE International Conference on Computational Cybernetics, ICCC (2006). Full Text
  - Szecówka, PM, Szczurek, A, Mazurowski, MA, Licznerski, BW, and Pichler, F. "Neural network sensitivity analysis applied for the reduction of the sensor matrix." Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3643 LNCS (December 1, 2005): 27-32.
Teaching & Mentoring
Recent Courses
- MEDPHY 762: Data Science 2018

Some information on this profile has been compiled automatically from Duke databases and external sources. (Our About page explains how this works.) If you see a problem with the information, please write to Scholars@Duke and let us know. We will reply promptly.

Education, Training, & Certifications

Duke Appointment History

Selected Grants

Selected Publications

Conference Papers

Journal Articles

Recent Courses