Publications

(2019). Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. Nat Sci Rep.
(2019). Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology. Medical Imaging with Deep Learning.
(2019). Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks. PeerJ.
(2019). Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification. Medical Imaging with Deep Learning.
(2019). Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer. Cell Oncol.
(2019). Automated Gleason Grading of Prostate Biopsies Using Deep Learning. United States and Canadian Academy of Pathology (USCAP) 108th Annual Meeting.
(2019). A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach.. Invest Radiol.
(2018). From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge. IEEE Trans Med Imaging.