DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization

von Kart, Turkay
Veröffentlicht in DGM4MICCAI (1. : 2021 : Online) Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (2021)

Multiscale Graph Convolutional Networks for Cardiac Motion Analysis

von Lu, Ping
Veröffentlicht in Functional imaging and modeling of the heart (2021)

Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions

von Lu, Ping
Veröffentlicht in STACOM (11. : 2020 : Online) Statistical atlases and computational models of the heart (2021)

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning

von Meng, Qingjie
Veröffentlicht in International Conference on Medical Image Computing and Computer Assisted Intervention (25. : 2022 : Singapur; Online) Medical image computing and computer assisted intervention - MICCAI 2022 ; Part 6 (2022)

Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction

von Wang, Shuo
Veröffentlicht in BrainLes (5. : 2019 : Shenzhen) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ; Part 2 (2020)

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI

von Qin, Chen
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 3 (2020)

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation

von Chen, Chen
Veröffentlicht in International Conference on Medical Image Computing and Computer Assisted Intervention (25. : 2022 : Singapur; Online) Medical image computing and computer assisted intervention - MICCAI 2022 ; Part 5 (2022)

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features

von Lu, Ping
Veröffentlicht in MIUA (24. : 2020 : Oxford) Medical image understanding and analysis (2020)

Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction

von Dai, Chengliang
Veröffentlicht in Brain Lesion workshop (6. : 2020 : Online) Brainlesion: glioma, multiple sclerosis, stroke and traumatic brain injuries ; Part 1 (2021)

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

von Chen, Chen
Veröffentlicht in Statistical atlases and computational models of the heart (2020)

Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling

von Dai, Chengliang
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 4 (2020)

Quality-Aware Semi-supervised Learning for CMR Segmentation

von Ruijsink, Bram
Veröffentlicht in STACOM (11. : 2020 : Online) Statistical atlases and computational models of the heart (2021)

Patch-based techniques in medical imaging : Third International Workshop, Patch-MI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017 : proce...

Veröffentlicht 2017

Realistic Adversarial Data Augmentation for MR Image Segmentation

von Chen, Chen
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 1 (2020)

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

von Wang, Shuo
Veröffentlicht in MICCAI (24. : 2021 : Online) Medical image computing and computer assisted intervention - MICCAI 2021 ; Part 3 (2021)

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data

von Qiao, Mengyun
Veröffentlicht in STACOM Workshop (13. : 2022 : Singapur) Statistical atlases and computational models of the heart (2022)

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation

von Wang, Shuo
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 4 (2020)

Patch-based techniques in medical imaging : 4th International Workshop, Patch-MI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : proceedings

Veröffentlicht 2018