Standout Papers

A systematic study of the class imbalance problem in convolutional neural networks 2018 2026 2020 2023 1.4k
  1. A systematic study of the class imbalance problem in convolutional neural networks (2018)
    Mateusz Buda, Atsuto Maki et al. Neural Networks
  2. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI (2018)
    Maciej A. Mazurowski, Mateusz Buda et al. Journal of Magnetic Resonance Imaging

Immediate Impact

2 from Science/Nature 62 standout
Sub-graph 1 of 24

Citing Papers

Accurate predictions on small data with a tabular foundation model
2025 StandoutNature
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
2 intermediate papers

Works of Mateusz Buda being referenced

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
2019
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout

Author Peers

Author Last Decade Papers Cites
Mateusz Buda 699 984 217 482 10 2.2k
Ekta Walia 630 601 125 929 31 1.8k
Zaid Bin Mahbub 1366 827 59 286 26 1.8k
Marios Anthimopoulos 662 494 70 333 14 1.5k
Stavroula Mougiakakou 869 740 447 423 69 2.8k
Tawsifur Rahman 2092 1317 62 491 40 3.0k
Daniele Ravì 350 588 30 604 26 1.8k
Charence Wong 289 547 52 458 10 1.6k
J. Shin 852 871 23 652 6 2.0k
Yi Zhou 819 510 25 599 43 1.9k
Lin Yang 782 1270 52 1003 71 2.6k

All Works

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2026