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Hoo-Chang Shin | Researchclopedia

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Hoo-Chang Shin

Dongguk University

45

Works

14,639

Citations

19

h-index

27

i10-index

Research Topics

Topic Modeling Radiomics and Machine Learning in Medical Imaging AI in cancer detection

Affiliations

Ben-Gurion University of the Negev2014–2014

Dorset HealthCare University NHS Foundation Trust2012–2012

National Institutes of Health2015–2016

Engineering and Physical Sciences Research Council2011–2011

Nvidia (United Kingdom)2021–2021

Top Works

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern Menze,András Jakab,et al.

20146,282 citations

COVID-19 diagnosis using AI

Biomedical Text Mining and Ontologies

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin,Holger R. Roth,et al.

20165,715 citations

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

Holger R. Roth,Le Lü,et al.

2015672 citations

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

Hoo-Chang Shin,Matthew Orton,et al.

2012494 citations

Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

Hoo-Chang Shin,Kirk Roberts,et al.

2016352 citations

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks

Mingchen Gao,Ulaş Bağcı,et al.

2016263 citations

Anatomy-specific classification of medical images using deep convolutional nets

Holger R. Roth,Christopher T. Lee,et al.

2015182 citations

BioMegatron: Larger Biomedical Domain Language Model

Hoo-Chang Shin,Yang Zhang,et al.

2020116 citations

Interleaved text/image Deep Mining on a large-scale radiology database

Hoo-Chang Shin,Le Lü,et al.

201596 citations