| 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 | 5023 | 2016 |
| 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 | 4435 | 2014 |
| 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 | 755 | 2015 |
| 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 | 562 | 2018 |
| 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 | 555 | 2012 |
| 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 | 350 | 2016 |
| 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 | 265 | 2018 |
| 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 | 205 | 2015 |
| 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 | 193 | 2015 |
| 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 | 54 | 2020 |
| 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 | 47 | 2017 |
| 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 | 42 | 2015 |
| 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 | 36 | 2012 |
| 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 | 35 | 2011 |
| 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 | 26 | 2022 |
| 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 | 20 | 2016 |
| 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 | 19 | 2016 |
| Organ detection using deep learning HC Shin, M Orton, DJ Collins, S Doran, MO Leach Medical image recognition, segmentation and parsing, 123-153, 2016 | 17 | 2016 |
| 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 | 16 | 2020 |
| 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 | 16 | 2017 |
Le LuAlibaba DAMO Academy USA, IEEE Fellow, MICCAI Board Member, IEEE SPS Distinguished Industry SpeakerVerified email at alibaba-inc.com
