Showing results 1 to 14 of 14
| Title | Author(s) | Issue Date | |
|---|---|---|---|
3D convolutional networks for fully automatic fine-grained whole heart partition Proceeding/Conference:Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges: 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers | 2018 | ||
3D deeply supervised network for automated segmentation of volumetric medical images Journal:Medical Image Analysis | 2017 | ||
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 | ||
3D U-net with multi-level deep supervision: Fully automatic segmentation of proximal femur in 3D MR images Proceeding/Conference:Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings | 2017 | ||
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V | 2019 | ||
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 | ||
Boundary and entropy-driven adversarial learning for fundus image segmentation Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part I | 2019 | ||
Class-balanced deep neural network for automatic ventricular structure segmentation Proceeding/Conference:Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges: 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers | 2018 | ||
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets Journal:IEEE Transactions on Medical Imaging | 2020 | ||
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 | ||
Hybrid loss guided convolutional networks for whole heart parsing Proceeding/Conference:Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges: 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers | 2018 | ||
Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation Journal:IEEE Transactions on Medical Imaging | 2019 | ||
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 |