Deep learning in radiology: an overview of the concepts and a survey of the state of the art. - Maciej A. Mazurowski; Mateusz Buda; Ashirbani Saha; Mustafa R. Bashir (CoRR, 2018)

A systematic study of the class imbalance problem in convolutional neural networks. - Mateusz Buda; Atsuto Maki; Maciej A. Mazurowski (Neural Networks, 2018)

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. - Mateusz Buda; Ashirbani Saha; Maciej A. Mazurowski (Comput. Biol. Medicine, 2019)

MRI image harmonization using cycle-consistent generative adversarial network. - Gourav Modanwal; Adithya Vellal; Mateusz Buda; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2020)

Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images. - Albert Swiecicki; Mateusz Buda; Ashirbani Saha; Nianyi Li; Sujata V. Ghate; Ruth Walsh; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2020)

Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms. - Albert Swiecicki; Nicholas Said; Jonathan O'Donnell; Mateusz Buda; Nianyi Li; William A. Jiranek; Maciej A. Mazurowski (Computer-Aided Diagnosis, 2020)

Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. - Mateusz Buda; Ashirbani Saha; Ruth Walsh; Sujata V. Ghate; Nianyi Li; Albert Swiecicki; Joseph Y. Lo; Maciej A. Mazurowski (CoRR, 2020)

Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset. - 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 (CoRR, 2022)