Standout Papers

Quantifying the effects of data augmentation and stain color normalization in convolutional neural network... 2019 2026 2021 2023 282
  1. Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology (2019)
    David Tellez, Geert Litjens et al. Medical Image Analysis

Immediate Impact

3 from Science/Nature 91 standout
Sub-graph 1 of 20

Citing Papers

Innovation and challenges of artificial intelligence technology in personalized healthcare
2024 Standout
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
2024 Standout
4 intermediate papers

Works of Péter Bándi being referenced

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
2019
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
2018
and 2 more

Author Peers

Author Last Decade Papers Cites
Péter Bándi 361 525 239 14 661
Maschenka Balkenhol 464 594 249 18 780
Nikolas Stathonikos 284 436 134 25 590
Guilherme Aresta 545 536 261 18 794
Navid Farahani 242 429 147 17 762
Simon Graham 479 598 292 25 828
Iringo Kovacs 346 483 157 7 688
Teresa Araújo 510 540 267 18 765
Alexi Baidoshvili 265 344 108 21 738
Huangjing Lin 407 489 243 18 692
James Monaco 214 456 280 29 643

All Works

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2026