Hoo-Chang Shin
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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
24292016
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
19262014
Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
HR Roth, L Lu, A Farag, HC Shin, J Liu, EB Turkbey, RM Summers
International conference on medical image computing and computer-assisted …, 2015
3982015
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
3802012
Medical image synthesis for data augmentation and anonymization using generative adversarial networks
HC Shin, NA Tenenholtz, JK Rogers, CG Schwarz, ML Senjem, JL Gunter, ...
International workshop on simulation and synthesis in medical imaging, 1-11, 2018
1802018
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
1642016
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
1522018
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
1122015
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
862015
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015
N Nassir, H Joachim, M Wells William, F Frangi Alejandro
Cham: Springer International Publishing, 2015
392015
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
362017
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
The Journal of Machine Learning Research 17 (1), 3729-3759, 2016
352016
Leveraging mid-level semantic boundary cues for automated lymph node detection
A Seff, L Lu, A Barbu, H Roth, HC Shin, RM Summers
International Conference on Medical Image Computing and Computer-Assisted …, 2015
262015
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
262012
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
262011
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
IEEE Transactions on Medical Imaging 35 (1285-1298), 1602.03409, 2016
142016
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
102016
The multimodal brain tumor image segmentation benchmark (BRATS)(2014)
B Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
URL http://hal. inria. fr/hal-00935640, 0
10
Tunnel entrance recognition for video-based driver assistance systems
C Claus, HC Shin, W Stechele
Proceedings of 13th International Conference on Systems, Signals and Image …, 2006
82006
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
62017
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Artikelen 1–20