| 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 | 6322 | 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 | 6271 | 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 | 904 | 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 | 774 | 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 | 610 | 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 | 456 | 2016 |
| 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 | 450 | 2022 |
| 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 | 303 | 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 | 240 | 2015 |
| 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 | 220 | 2016 |
| 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 | 145 | 2020 |
| International conference on medical image computing and computer-assisted intervention HR Roth, L Lu, A Farag, HC Shin, J Liu, EB Turkbey, RM Summers Springer, 2017 | 109 | 2017 |
| 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 | 86 | 2022 |
| 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 | 46 | 2015 |
| 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 | 45 | 2017 |
| 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 | 39 | 2011 |
| 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 | 38 | 2012 |
| 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 | 30 | 2020 |
| 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 | 26 | 2020 |
| 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 | 26 | 2020 |
Le LuAlibaba DAMO Academy, IEEE Fellow, MICCAI Board Member (2021-2024)Dirección de correo verificada de alibaba-inc.com
