Maciej A. Mazurowski

According to our database1, Maciej A. Mazurowski authored at least 50 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.
IEEE Trans. Med. Imaging, 2019

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm.
CoRR, 2019

Deep learning for identifying radiogenomic associations in breast cancer.
Comp. in Bio. and Med., 2019

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm.
Comp. in Bio. and Med., 2019

Malignant microcalcification clusters detection using unsupervised deep autoencoders.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
A systematic study of the class imbalance problem in convolutional neural networks.
Neural Networks, 2018

Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images.
CoRR, 2018

Deep learning in radiology: an overview of the concepts and a survey of the state of the art.
CoRR, 2018

Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Breast cancer molecular subtype classification using deep features: preliminary results.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Effects of MRI scanner parameters on breast cancer radiomics.
Expert Syst. Appl., 2017

Deep Learning for identifying radiogenomic associations in breast cancer.
CoRR, 2017

Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
CoRR, 2017

A systematic study of the class imbalance problem in convolutional neural networks.
CoRR, 2017

Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Deep learning for segmentation of brain tumors: can we train with images from different institutions?
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach.
Expert Syst. Appl., 2016

A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases.
Expert Syst. Appl., 2016

Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary data.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Radiogenomics of glioblastoma: a pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015
Modeling false positive error making patterns in radiology trainees for improved mammography education.
Journal of Biomedical Informatics, 2015

2013
Estimating confidence of individual rating predictions in collaborative filtering recommender systems.
Expert Syst. Appl., 2013

2012
The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support.
Neural Networks, 2012

2011
Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis.
Journal of Biomedical Informatics, 2011

2010
Perception-driven IT-CADe analysis for the detection of masses in screening mammography: initial investigation.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

2009
Building virtual community in computational intelligence and machine learning [Research Frontier].
IEEE Comp. Int. Mag., 2009

Relational representation for improved decisions with an information-theoretic CADe system: initial experience.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy.
Proceedings of the International Joint Conference on Neural Networks, 2009

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

2008
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance.
Neural Networks, 2008

Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Reliability Assessment of Ensemble Classifiers: Application in Mammography.
Proceedings of the Digital Mammography, 2008

Computational intelligence virtual community: Framework and implementation issues.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Solving Multi-agent Control Problems Using Particle Swarm Optimization.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes.
Proceedings of the International Joint Conference on Neural Networks, 2007

Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2007

Solving decentralized multi-agent control problems with genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
Neural Network Sensitivity Analysis Applied for the Reduction of the Sensor Matrix.
Proceedings of the Computer Aided Systems Theory, 2005


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