Standout Papers

Deep learning in cancer pathology: a new generation of clinical biomarkers 2020 2026 2022 2024327
  1. Deep learning in cancer pathology: a new generation of clinical biomarkers (2020)
    Amelie Echle, Niklas Rindtorff et al. British Journal of Cancer

Immediate Impact

2 from Science/Nature 69 standout
Sub-graph 1 of 21

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
Multi‐Mode/Signal Biosensors: Electrochemical Integrated Sensing Techniques
2024 Standout
3 intermediate papers

Works of Amelie Echle being referenced

Deep learning detects genetic alterations in cancer histology generated by adversarial networks
2021
Deep learning in cancer pathology: a new generation of clinical biomarkers
2020 Standout

Author Peers

Author Last Decade Papers Cites
Amelie Echle 317 328 107 183 9 561
Meriem Sefta 288 313 153 148 6 626
Ole-Johan Skrede 365 281 106 219 4 589
Anurag Vaidya 324 347 92 87 7 623
Mane Williams 279 332 103 89 6 531
John Maddison 273 195 70 174 16 485
Guillaume Jaume 297 383 72 92 8 583
Giovanni Lujan 197 289 67 107 20 521
Ramón Viñas 176 237 128 76 9 461
Lily H. Peng 344 404 81 86 6 623
Esther Abels 211 289 48 85 12 534

All Works

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Rankless by CCL
2026