Hoo-Chang Shin
Dongguk University(KR)
Publications by Year
Research Areas
Topic Modeling, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, COVID-19 diagnosis using AI, Biomedical Text Mining and Ontologies
Most-Cited Works
- → The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)(2014)6,259 cited
- → Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning(2016)5,702 cited
- → DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation(2015)671 cited
- → Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data(2012)494 cited
- → Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation(2016)352 cited
- → Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks(2016)263 cited
- → Anatomy-specific classification of medical images using deep convolutional nets(2015)182 cited
- → BioMegatron: Larger Biomedical Domain Language Model(2020)116 cited
- → Interleaved text/image Deep Mining on a large-scale radiology database(2015)96 cited
- → Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation(2015)46 cited