Péter Bándi

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

David Tellez, Geert Litjens, Péter Bándi et al. · Medical Image Analysis · 2019 · 586 citations · Full text

Computing, Biomedical Engineering, Pathology +17

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Péter Bándi, Oscar Geessink, Quirine F. Manson et al. · IEEE Transactions on Medical Imaging · 2018 · 552 citations · Full text

Medicine, Biomedical Sciences, Oncology +17

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset

Geert Litjens, Péter Bándi, Babak Ehteshami Bejnordi et al. · GigaScience · 2018 · 383 citations · Full text

Medicine, Computer Science, Pathology +17

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Wouter Bulten, Péter Bándi, Jeffrey Hoven et al. · Scientific Reports · 2019 · 155 citations · Full text

Veterinary Medicine, Biomedical Engineering, Cell Biology +12

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Péter Bándi, Maschenka Balkenhol, Bram van Ginneken et al. · PeerJ · 2019 · 64 citations · Full text

Computing, Pathology, Biomedical Imaging +14