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| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
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 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 | |||
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 | |||
TransCT: Dual-path Transformer for Low Dose Computed Tomography Proceeding/Conference:International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 | 2021 | |||
Volumetric convnets with mixed residual connections for automated prostate segmentation from 3D MR images Proceeding/Conference:Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) | 2017 | 34 | ||
Difficulty-aware meta-learning for rare disease diagnosis Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I | 2020 | 10 | ||
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 | 63 | ||
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 | 12 | ||
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 | ||
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 | 13 | ||
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model Proceeding/Conference:British Machine Vision Conference (BMVC) | 2018 | 16 | ||
Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization Proceeding/Conference:Adolescent Brain Cognitive Development Neurocognitive Prediction: First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings | 2019 | 9 | ||
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 | 28 | ||
Dual-teacher: Integrating intra-domain and inter-domain teachers for annotation-efficient cardiac 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 | 14 | ||
Deep Learning-Based Registration of MR and Treatment Planning Ultrasound Images for HDR Prostate Brachytherapy Proceeding/Conference:International Journal of Radiation Oncology*Biology*Physics: Proceedings, 63rd Annual Meeting of the American Society for Radiation Oncology | 2021 | 8 | ||
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 | ||
PU-Net: Point Cloud Upsampling Network Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 2018 | |||
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 | |||
EC-Net: An edge-aware point set consolidation network Proceeding/Conference:Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part VII | 2018 | 7 | ||
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 | |||
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation Proceeding/Conference:Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II | 2019 | |||
CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning Proceeding/Conference:Proceedings: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2022 | 2022 | 3 | ||
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 | ||
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 | ||
H2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis Proceeding/Conference:Proceedings of the AAAI Conference on Artificial Intelligence | 2022 | 2 |