Notes and highlights from MICCAI 2019
- Part I, LNCS Volume 11764 Optical Imaging; Endoscopy; Microscopy
- Part II, LNCS Volume 11765 Image Segmentation; Image Registration; Cardiovascular Imaging; Growth, Development, Atrophy, and Progression
- Part III, LNCS Volume 11766 Neuroimage Reconstruction and Synthesis; Neuroimage Segmentation; Diffusion-Weighted Magnetic Resonance Imaging; Functional Neuroimaging (fMRI); Miscellaneous Neuroimaging
- Part IV, LNCS Volume 11767 Shape; Prediction; Detection and Localization; Machine Learning; Computer-Aided Diagnosis; Image Reconstruction and Synthesis
- Part V, LNCS Volume 11768 Computer-Assisted Interventions; MIC Meets CAI
- Part VI, LNCS Volume 11769-TBD Computed Tomography; X-ray Imaging
- Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations PDF
- Curriculum semi-supervised segmentation PDF
- Dual-Stream Pyramid Registration Network PDF
- Image-and-Spatial Transformer Networks for Structure-Guided Image Registration PDF
- PseudoEdgeNet: Nuclei Segmentation only with Point Annotations PDF
- A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes PDF
- Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors PDF
- GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision PDF
- PHiSeg: Capturing Uncertainty in Medical Image Segmentation PDF
- Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction PDF
- Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation PDF
- Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation PDF
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Learn2Reg: Tutorial on Deep Learning in Medical Image Registration ...Website ...Github repo
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Weakly Supervised CNN Segmentation: Models and Optimization ...Github repo
- Curriculum learning
- Weakly supervised/semi-supervised learning with constraints/priors
- Joint/Mutual learning tasks (example: Segmentation and registration)
- Stereo Correspondence and Reconstruction of Endoscopic Data Sub-Challenge ...Website ...Challenge results and PPT