Showing results 1 to 17 of 17
Title | Author(s) | Issue Date | |
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3D deeply supervised network for automated segmentation of volumetric medical images Journal:Medical Image Analysis | 2017 | ||
3D deeply supervised network for automatic liver segmentation from CT volumes Proceeding/Conference:Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II | 2016 | ||
3D FractalNet: Dense volumetric segmentation for cardiovascular MRI volumes Proceeding/Conference:Reconstruction, Segmentation, and Analysis of Medical Images: First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers | 2017 | ||
AGNet: Attention-guided network for surgical tool presence detection Proceeding/Conference:Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings | 2017 | ||
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks Journal:IEEE Transactions on Medical Imaging | 2017 | ||
Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets Proceeding/Conference:Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings | 2017 | ||
Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks Journal:IEEE Transactions on Medical Imaging | 2016 | ||
DCAN: Deep contour-aware networks for object instance segmentation from histology images Journal:Medical Image Analysis | 2017 | ||
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images Book:Deep Learning for Medical Image Analysis | 2017 | ||
Fine-grained recurrent neural networks for automatic prostate segmentation in ultrasound images Proceeding/Conference:Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) | 2017 | ||
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos Journal:IEEE Journal of Biomedical and Health Informatics | 2017 | ||
Local and global structure-aware entropy regularized mean teacher model for 3d left atrium segmentation Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I | 2020 | ||
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection Journal:IEEE Transactions on Biomedical Engineering | 2017 | ||
SV-RCNet: Workflow recognition from surgical videos using recurrent convolutional network Journal:IEEE Transactions on Medical Imaging | 2018 | ||
Towards automated semantic segmentation in prenatal volumetric ultrasound Journal:IEEE Transactions on Medical Imaging | 2019 | ||
Towards automatic semantic segmentation in volumetric ultrasound Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I | 2017 | ||
2018 |