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A systematic comparison of deep learning strategies for weakly supervised Gleason grading

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Updated at: 31-07-2023

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Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extr...

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A Framework for Citing Nanopublications

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Updated at: 31-07-2023

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Deep learning-based retrieval system for gigapixel histopathology cases and the open access literature

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Probabilistic Word Embeddings in Neural IR - A Promising Model That Does Not Work as Expected (For Now)

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Search Text to Retrieve Graphs: A Scalable RDF Keyword-Based Search System

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An Analysis of Query Reformulation Techniques for Precision Medicine

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Focal elements of neural information retrieval models. An outlook through a reproducibility study

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Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Patholog...

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Data-driven color augmentation for H&E stained images in computational pathology

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Algorithms for semantic segmentation and detection in histopathology images

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Generalizing convolution neural networks on stain color heterogeneous data for computational pathology

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Data credit distribution: A new method to estimate databases impact

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State-of-the-Art Deep Learning in Cardiovascular Image Analysis

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Data Citation and the Citation Graph, accepted to Quantitative Social Sciences

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Semantic knowledge extractor prototype

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Multimodal latent semantic alignment for automated prostate tissue classification and retrieval

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MedTAG: A Portable and Customizable Annotation Tool for Biomedical Documents

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Classification of noisy free-text prostate cancer pathology reports using natural language processing

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As Simple as Possible: Using the R Tidyverse for Multilingual Information Extraction

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1st dissemination, communication and exploitation report & outline for the following year

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Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images

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Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An exp...

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Knowledge Enhanced Representations for Clinical Decision Support

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A scalable virtual document-based keyword search system for RDF datasets

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Search, access, and explore life science nanopublications on the Web

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Updated at: 31-07-2023

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H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin re...

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On the Formal Standardization of Terminology Resources: The Case Study of TriMED

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An Information Visualization Tool for the Interactive Component-Based Evaluation of Search Engines

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Graph representation of the histopathology knowledge

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