A survey on deep learning in medical image analysis
2017 · Medical Image Analysis · 14K citations
https://doi.org/10.1016/j.media.2017.07.005
J
Jeroen van der Laak
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
338
Papers
32.0K
Citations
62
h-index
185
i10-index
Jeroen van der Laak is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: AI in cancer detection & Radiomics and Machine Learning in Medical Imaging & Digital Imaging for Blood Diseases. The author has an h-index of 62, co-authored 288 publications.
ORCID: 0000-0001-7982-0754Papers by this author
worksDeep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
2016 · Scientific Reports · 1,075 citations
https://doi.org/10.1038/srep26286
Deep learning in histopathology: the path to the clinic
2021 · Nature Medicine · 821 citations
https://doi.org/10.1038/s41591-021-01343-4
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
2020 · The Lancet Oncology · 657 citations
https://doi.org/10.1016/s1470-2045(19)30739-9
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
2018 · IEEE Transactions on Medical Imaging · 531 citations
https://doi.org/10.1109/tmi.2018.2867350
The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group
2021 · npj Breast Cancer · 257 citations
https://doi.org/10.1038/s41523-021-00346-1
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat