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| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
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 | 13 | ||
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 | |||
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 | 24 | ||
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 | |||
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 | 7 | ||
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks Journal:IEEE Transactions on Medical Imaging | 2017 | 9 | ||
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 | 10 | ||
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features Proceeding/Conference:Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | 2015 | 8 | ||
Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks Journal:IEEE Transactions on Medical Imaging | 2016 | 13 | ||
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation Proceeding/Conference:Proceedings - International Symposium on Biomedical Imaging | 2015 | |||
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 | |||
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading Journal:IEEE Transactions on Medical Imaging | 2020 | 15 | ||
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 | |||
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 2016 | 19 | ||
DCAN: Deep contour-aware networks for object instance segmentation from histology images Journal:Medical Image Analysis | 2017 | 23 | ||
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images Book:Deep Learning for Medical Image Analysis | 2017 | 13 | ||
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening Journal:IEEE Transactions on Medical Imaging | 2020 | |||
Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images Proceeding/Conference:OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis: First International Workshop, OR 2.0 2018, 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, Third International Workshop, ISIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings | 2018 | 6 |