Publications

(2018). 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset. Gigascience.
(2018). Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. IEEE Trans Med Imaging.
(2018). H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. Medical Imaging.
(2018). Automatic color unmixing of IHC stained whole slide images. Medical Imaging.
(2018). Automated segmentation of epithelial tissue in prostatectomy slides using deep learning. Medical Imaging.
(2018). Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders. Medical Imaging with Deep Learning.
(2018). Training convolutional neural networks with megapixel images. Medical Imaging with Deep Learning.
(2018). Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images. Medical Imaging with Deep Learning.
(2017). Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA.
(2017). Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. J Med Imaging.