F. Ciompi

Latest

• Deep learning in histopathology: the path to the clinic.
• Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics.
• Neural Image Compression for Gigapixel Histopathology Image Analysis.
• No pixel-level annotations needed
• Learning to detect lymphocytes in immunohistochemistry with deep learning
• Neural Image Compression for Gigapixel Histopathology Image Analysis
• Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
• State-of-the-Art Deep Learning in Cardiovascular Image Analysis.
• Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
• Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
• H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection
• Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images
• Comparison of Different Methods for Tissue Segmentation In Histopathological Whole-Slide Images
• The importance of stain normalization in colorectal tissue classification with convolutional networks
• A Survey on Deep Learning in Medical Image Analysis
• Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks