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Mateusz Buda
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2020 – today
- 2022
- [i5]Jingxi Weng, Benjamin Wildman-Tobriner, Mateusz Buda, Jichen Yang, Lisa M. Ho, Brian C. Allen, Wendy L. Ehieli, Chad M. Miller, Jikai Zhang, Maciej A. Mazurowski:
Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset. CoRR abs/2207.13765 (2022) - 2020
- [c3]Gourav Modanwal, Adithya Vellal, Mateusz Buda, Maciej A. Mazurowski:
MRI image harmonization using cycle-consistent generative adversarial network. Computer-Aided Diagnosis 2020 - [c2]Albert Swiecicki, Mateusz Buda, Ashirbani Saha, Nianyi Li, Sujata V. Ghate, Ruth Walsh, Maciej A. Mazurowski:
Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images. Computer-Aided Diagnosis 2020 - [c1]Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, Mateusz Buda, Nianyi Li, William A. Jiranek, Maciej A. Mazurowski:
Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms. Computer-Aided Diagnosis 2020 - [i4]Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata V. Ghate, Nianyi Li, Albert Swiecicki, Joseph Y. Lo, Maciej A. Mazurowski:
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. CoRR abs/2011.07995 (2020)
2010 – 2019
- 2019
- [j2]Mateusz Buda, Ashirbani Saha, Maciej A. Mazurowski:
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. Comput. Biol. Medicine 109: 218-225 (2019) - [i3]Mateusz Buda, Ashirbani Saha, Maciej A. Mazurowski:
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. CoRR abs/1906.03720 (2019) - 2018
- [j1]Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski:
A systematic study of the class imbalance problem in convolutional neural networks. Neural Networks 106: 249-259 (2018) - [i2]Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha, Mustafa R. Bashir:
Deep learning in radiology: an overview of the concepts and a survey of the state of the art. CoRR abs/1802.08717 (2018) - 2017
- [i1]Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski:
A systematic study of the class imbalance problem in convolutional neural networks. CoRR abs/1710.05381 (2017)
Coauthor Index
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