Следене
Hoo-Chang Shin
Заглавие
Позовавания
Позовавания
Година
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning
HC Shin, HR Roth, M Gao, L Lu, Z Xu, I Nogues, J Yao, D Mollura, ...
IEEE transactions on medical imaging 35 (5), 1285-1298, 2016
58202016
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
54212014
Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
HR Roth, L Lu, A Farag, HC Shin, J Liu, EB Turkbey, RM Summers
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
8782015
Medical image synthesis for data augmentation and anonymization using generative adversarial networks
HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ...
Simulation and Synthesis in Medical Imaging: Third International Workshop …, 2018
6762018
Stacked autoencoders for unsupervised feature learning and multiple organ detection in a pilot study using 4D patient data
HC Shin, MR Orton, DJ Collins, SJ Doran, MO Leach
IEEE transactions on pattern analysis and machine intelligence 35 (8), 1930-1943, 2012
5952012
Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation
HC Shin, K Roberts, L Lu, D Demner-Fushman, J Yao, RM Summers
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4152016
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
M Gao, U Bagci, L Lu, A Wu, M Buty, HC Shin, H Roth, GZ Papadakis, ...
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018
2862018
Anatomy-specific classification of medical images using deep convolutional nets
HR Roth, CT Lee, HC Shin, A Seff, L Kim, J Yao, L Lu, RM Summers
2015 IEEE 12th international symposium on biomedical imaging (ISBI), 101-104, 2015
2312015
A large language model for electronic health records
X Yang, A Chen, N PourNejatian, HC Shin, KE Smith, C Parisien, ...
NPJ digital medicine 5 (1), 194, 2022
2202022
Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation
HC Shin, L Lu, L Kim, A Seff, J Yao, RM Summers
Journal of Machine Learning Research 17 (107), 1-31, 2016
2132016
BioMegatron: larger biomedical domain language model
HC Shin, Y Zhang, E Bakhturina, R Puri, M Patwary, M Shoeybi, R Mani
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1132020
GatorTron: a large clinical language model to unlock patient information from unstructured electronic health records
X Yang, A Chen, N PourNejatian, HC Shin, KE Smith, C Parisien, ...
arXiv preprint arXiv:2203.03540, 2022
462022
Unsupervised joint mining of deep features and image labels for large-scale radiology image categorization and scene recognition
X Wang, L Lu, HC Shin, L Kim, M Bagheri, I Nogues, J Yao, RM Summers
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 998-1007, 2017
462017
Leveraging mid-level semantic boundary cues for automated lymph node detection
A Seff, L Lu, A Barbu, H Roth, HC Shin, RM Summers
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
452015
Autoencoder in time-series analysis for unsupervised tissues characterisation in a large unlabelled medical image dataset
HC Shin, M Orton, DJ Collins, S Doran, MO Leach
2011 10th international conference on machine learning and applications and …, 2011
382011
Hybrid clustering and logistic regression for multi-modal brain tumor segmentation
HC Shin
Proc. of Workshops and Challanges in Medical Image Computing and Computer …, 2012
372012
The potential dangers of artificial intelligence for radiology and radiologists
LC Chu, A Anandkumar, HC Shin, EK Fishman
Journal of the American College of Radiology 17 (10), 1309-1311, 2020
212020
Ganbert: Generative adversarial networks with bidirectional encoder representations from transformers for mri to pet synthesis
HC Shin, A Ihsani, S Mandava, ST Sreenivas, C Forster, J Cha, ...
arXiv preprint arXiv:2008.04393, 2020
212020
GANDALF: Generative adversarial networks with discriminator-adaptive loss fine-tuning for Alzheimer’s disease diagnosis from MRI
HC Shin, A Ihsani, Z Xu, S Mandava, ST Sreenivas, C Forster, J Cha, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
212020
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning deep convolutional neural networks for …
L Lu, H Shin, HR Roth, M Gao, L Lu
IEEE Trans. Med. Imaging 35 (5), 1285-1298, 2016
212016
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