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11/30/2021
Automatic Extraction of Medication Names in Tweets as Named Entity Recognition
Social media posts contain potentially valuable information about medica...
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11/30/2021
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches
The Biocreative VII Track-2 challenge consists of named entity recogniti...
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11/30/2021
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models
In Track-1 of the BioCreative VII Challenge participants are asked to id...
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10/12/2020
BioMegatron: Larger Biomedical Domain Language Model
There has been an influx of biomedical domain-specific language models, ...
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08/10/2020
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI
Positron Emission Tomography (PET) is now regarded as the gold standard ...
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08/10/2020
GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis
Synthesizing medical images, such as PET, is a challenging task due to t...
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07/08/2019
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network
Radiogenomic map linking image features and gene expression profiles is ...
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07/26/2018
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks
Data diversity is critical to success when training deep learning models...
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01/23/2017
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition
The recent rapid and tremendous success of deep convolutional neural net...
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03/28/2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Despite the recent advances in automatically describing image contents, ...
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03/25/2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Obtaining semantic labels on a large scale radiology image database (215...
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02/10/2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Remarkable progress has been made in image recognition, primarily due to...
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06/22/2015
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
Automatic organ segmentation is an important yet challenging problem for...
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05/04/2015
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
Despite tremendous progress in computer vision, there has not been an at...
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04/15/2015