Mateusz Buda

Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms

Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, 2020, Medical Imaging.

A systematic study of the class imbalance problem in convolutional neural networks

Atsuto Maki, Mateusz Buda, Maciej A. Mazurowski, 2017, Neural Networks.

Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images.

Mateusz Buda, Maciej A. Mazurowski, Ashirbani Saha, 2020, Radiology. Artificial intelligence.

MRI image harmonization using cycle-consistent generative adversarial network

Mateusz Buda, Maciej A. Mazurowski, Gourav Modanwal, 2020, Medical Imaging.

Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images

Albert Swiecicki, Mateusz Buda, Nianyi Li, 2020, Medical Imaging.

Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images.

Mateusz Buda, Maciej A Mazurowski, Benjamin Wildman-Tobriner, 2019, Ultrasound in medicine & biology.

Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model pdf

Joseph Y. Lo, Albert Swiecicki, Mateusz Buda, 2020, ArXiv.

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, 2019, Comput. Biol. Medicine.

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

Mateusz Buda, Maciej A. Mazurowski, Ashirbani Saha, 2018, Journal of magnetic resonance imaging : JMRI.