| Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang, D Metaxas IEEE Int. Conf. Comput. Vision (ICCV), 5907-5915, 2017 | 2702 | 2017 |
| Stackgan++: Realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, DN Metaxas IEEE transactions on pattern analysis and machine intelligence 41 (8), 1947-1962, 2018 | 1091 | 2018 |
| Efficient MR image reconstruction for compressed MR imaging J Huang, S Zhang, D Metaxas Medical Image Analysis 15 (5), 670–679, 2011 | 363 | 2011 |
| Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model X Yu, J Huang, S Zhang, W Yan, DN Metaxas International Conference on Computer Vision, 2013 | 313 | 2013 |
| Multispectral Deep Neural Networks for Pedestrian Detection J Liu, S Zhang, S Wang, DN Metaxas Proceedings of the British Machine Vision Conference (BMVC), 2016 | 309 | 2016 |
| Image retrieval via probabilistic hypergraph ranking Y Huang, Q Liu, S Zhang, DN Metaxas 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 307 | 2010 |
| SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition H Zhang, T Xu, M Elhoseiny, X Huang, S Zhang, A Elgammal, D Metaxas | 294 | 2016 |
| Towards robust and effective shape modeling: Sparse shape composition S Zhang, Y Zhan, M Dewan, J Huang, DN Metaxas, XS Zhou Medical Image Analysis 16 (1), 265–277, 2012 | 291 | 2012 |
| A noise-robust framework for automatic segmentation of covid-19 pneumonia lesions from ct images G Wang, X Liu, C Li, Z Xu, J Ruan, H Zhu, T Meng, K Li, N Huang, ... IEEE Transactions on Medical Imaging 39 (8), 2653-2663, 2020 | 285 | 2020 |
| Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, S Zhang, DN Metaxas, ... IEEE transactions on medical imaging 35 (5), 1332-1343, 2016 | 243 | 2016 |
| Automatic image annotation using group sparsity S Zhang, J Huang, Y Huang, Y Yu, H Li, DN Metaxas Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 243 | 2010 |
| Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval X Zhang, W Liu, M Dundar, S Badve, S Zhang IEEE Transactions on Medical Imaging 34 (2), 496-506, 2015 | 237 | 2015 |
| Query specific fusion for image retrieval S Zhang, M Yang, T Cour, K Yu, DN Metaxas European conference on computer vision, 660-673, 2012 | 216 | 2012 |
| Embedding label structures for fine-grained feature representation X Zhang, F Zhou, Y Lin, S Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 213 | 2016 |
| CA-Net: Comprehensive attention convolutional neural networks for explainable medical image segmentation R Gu, G Wang, T Song, R Huang, M Aertsen, J Deprest, S Ourselin, ... IEEE transactions on medical imaging 40 (2), 699-711, 2020 | 206 | 2020 |
| Query Specific Rank Fusion for Image Retrieval S Zhang, M Yang, T Cour, K Yu, DN Metaxas IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (4), 803-815, 2015 | 187 | 2015 |
| Large-scale retrieval for medical image analytics: A comprehensive review Z Li, X Zhang, H Müller, S Zhang Medical Image Analysis 43, 66-84, 2018 | 184 | 2018 |
| Multimodal deep learning for cervical dysplasia diagnosis T Xu, H Zhang, X Huang, S Zhang, DN Metaxas Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 176 | 2016 |
| Deformable segmentation via sparse representation and dictionary learning S Zhang, Y Zhan, DN Metaxas Medical Image Analysis 16 (7), 1385-1396, 2012 | 176 | 2012 |
| Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 161 | 2020 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityDirección de correo verificada de cs.rutgers.edu
