Jeroen van der Laak
Arzt
Geboren:
1967
Hat mitgewirkt an:
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Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer
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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
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Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
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Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer