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
46822016
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
40072014
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
7152015
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
5332012
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
5122018
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
3272016
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
2522018
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
1922015
Interleaved text/image deep mining on a very large-scale radiology database
HC Shin, L Lu, L Kim, A Seff, J Yao, RM Summers
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1832015
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
442017
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
412015
BioMegatron: Larger biomedical domain language model
HC Shin, Y Zhang, E Bakhturina, R Puri, M Patwary, M Shoeybi, R Mani
arXiv preprint arXiv:2010.06060, 2020
392020
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
352012
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
342011
Unsupervised category discovery via looped deep pseudo-task optimization using a large scale radiology image database
X Wang, L Lu, HC Shin, L Kim, I Nogues, J Yao, R Summers
arXiv preprint arXiv:1603.07965, 2016
182016
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 Transactions on Medical Imaging 35 (5), 1285-1298, 2016
182016
Natural language processing for large-scale medical image analysis using deep learning
HC Shin, L Lu, RM Summers
Deep learning for medical image analysis, 405-421, 2017
162017
Organ detection using deep learning
HC Shin, M Orton, DJ Collins, S Doran, MO Leach
Medical image recognition, segmentation and parsing, 123-153, 2016
152016
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
142020
Tunable CT lung nodule synthesis conditioned on background image and semantic features
Z Xu, X Wang, HC Shin, H Roth, D Yang, F Milletari, L Zhang, D Xu
Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019
142019
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