Hoo-chang Shin | DeepAI

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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...

0 Carol Anderson, et al. ∙

∙ 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...

0 Virginia Adams, et al. ∙

∙ 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...

0 Virginia Adams, et al. ∙

∙ 10/12/2020

BioMegatron: Larger Biomedical Domain Language Model

There has been an influx of biomedical domain-specific language models, ...

11 Hoo-chang Shin, et al. ∙

∙ 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 ...

0 Hoo-chang Shin, et al. ∙

∙ 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...

0 Hoo-chang Shin, et al. ∙

∙ 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 ...

0 Ziyue Xu, et al. ∙

∙ 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...

0 Hoo-chang Shin, et al. ∙

∙ 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...

0 Xiaosong Wang, et al. ∙

∙ 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, ...

0 Hoo-chang Shin, et al. ∙

∙ 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...

0 Xiaosong Wang, et al. ∙

∙ 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...

0 Hoo-chang Shin, et al. ∙

∙ 06/22/2015

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

Automatic organ segmentation is an important yet challenging problem for...

0 Holger R. Roth, et al. ∙

∙ 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...

0 Hoo-chang Shin, et al. ∙

∙ 04/15/2015

Anatomy-specific classification of medical images using deep convolutional nets

Automated classification of human anatomy is an important prerequisite f...

0 Holger R. Roth, et al. ∙

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