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A Survey on Deep Learning Approaches to Medical Images and a Systematic Look up into Real-Time Object Detection

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Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation

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Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation

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SCANet: A Unified Semi-Supervised Learning Framework for Vessel Segmentation

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MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain

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Topology-sensitive weighting model for myocardial segmentation

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Disentangle, align and fuse for multimodal and zero-shot image segmentationPreprint

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Incremental Learning in Medical Imaging: A Comprehensive Survey of Deep Neural Network Advances and Challenges

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Semi-supervised Pathology Segmentation with Disentangled Representations

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Semi-Supervised Medical Image Classification Combined with Unsupervised Deep Clustering

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Multi-transformation Consistency Regularization for Semi-supervised Medical Image Segmentation

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Semi-Supervised Medical Image Segmentation Based on Frequency Domain Aware Stable Consistency Regularization

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Semi-Supervised Medical Image Classification Based on Attention and Intrinsic Features of Samples

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Semi-Supervised Intracranial Aneurysm Segmentation from CTA Images via Weight-Perceptual Self-Ensembling Model

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Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

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4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical ModelPreprint

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Self-supervised 3D medical image segmentation by flow-guided mask propagation learning

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Dual Attention Based Uncertainty-aware Mean Teacher Model for Semi-supervised Cardiac Image Segmentation

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Factorised Representation Learning in Cardiac Image Analysis.

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Dynamic expert routing with boundary-aware decoding for accurate brain tumor segmentation from incomplete MRI data

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FaultCDR: A Cross-Disentangled Representation Learning Method for 3-D Fault Detection

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Cardiac Magnetic Resonance Imaging Focus Generative Adversarial Network Segmentation

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Semi-Supervised Cardiac CT Segmentation by Cross-Supervision

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FreqDF: Frequency-guided Disentanglement Framework for Multi-modal Brain Tumor Segmentation

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Disentangled representation learning in cardiac image analysis

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Factorised Representation Learning in Cardiac Image Analysis.

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Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning

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Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

Bai, W., Oktay, O., Sinclair, M. D., Suzuki, H., Rajchl, M., Tarroni, G., Glocker, B., King, A. P., Matthews, P. M., & Rueckert, D. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-66185-8_29 · Cited by 480 · see citing works

Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning

Hasan, S. M. K., & Linte, C. A. (2022) · Applied Sciences · doi:10.3390/app122312163 · Cited by 2 · see citing works