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Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings

1, 2019

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Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings

1st ed. 2018., 2018

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Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, p.228-237

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Digital pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 1013, 2019, Proceedings

1st Edition 2019, 2019

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A New Paradigm of RNA-Signal Quantitation and Contextual Visualization for On-Slide Tissue Analysis

Digital Pathology, p.153-162

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Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach

Digital Pathology, p.47-55

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Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis

Automated Reasoning for Systems Biology and Medicine, p.453-469

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Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs

Digital Pathology, p.20-27

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Automated Segmentation of DCIS in Whole Slide Images

Digital Pathology, p.67-74

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Evaluation of Colour Pre-processing on Patch-Based Classification of H&E-Stained Images

Digital Pathology, p.56-64

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Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans

Ophthalmic Medical Image Analysis, 2021, Vol.12970, p.72-81

2021

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Improving Prostate Cancer Detection with Breast Histopathology Images

Digital Pathology, p.91-99

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Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images

Digital Pathology, p.109-116

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Deep Features for Tissue-Fold Detection in Histopathology Images

Digital Pathology, p.125-132

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Icytomine: A User-Friendly Tool for Integrating Workflows on Whole Slide Images

Digital Pathology, 2019, Vol.11435, p.181-189

2019

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A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues

Digital Pathology, p.75-82

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Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, p.348-356

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Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net

Digital Pathology, p.100-108

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Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma

Digital Pathology, p.163-171

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Patch Clustering for Representation of Histopathology Images

Digital Pathology, p.28-37

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A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images

Digital Pathology, p.135-143

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Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule

Digital Pathology, p.117-124

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An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features

Digital Pathology, p.172-180

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Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study

Digital Pathology, p.38-46

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Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10-13, 2019, Proceedings

Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings

Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation

Digital pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 1013, 2019, Proceedings

A New Paradigm of RNA-Signal Quantitation and Contextual Visualization for On-Slide Tissue Analysis

Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach

Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis

Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs

Automated Segmentation of DCIS in Whole Slide Images

Evaluation of Colour Pre-processing on Patch-Based Classification of H&E-Stained Images

Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans

Improving Prostate Cancer Detection with Breast Histopathology Images

Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images

Deep Features for Tissue-Fold Detection in Histopathology Images

Icytomine: A User-Friendly Tool for Integrating Workflows on Whole Slide Images

Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis Approach

A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues

Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images

Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net

Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell Lymphoma

Patch Clustering for Representation of Histopathology Images

A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images

Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule

An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture Features

Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study

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