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Principled Ultrasound Data Augmentation for Classification of Standard Planes
Deep learning models with large learning capacities often overfit to med...
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Cross-Task Representation Learning for Anatomical Landmark Detection
Recently, there is an increasing demand for automatically detecting anat...
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Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination
Morphological analysis of longitudinal MR images plays a key role in mon...
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Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
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Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound
In medical imaging, manual annotations can be expensive to acquire and s...
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Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
We present the first system that provides real-time probe movement guida...
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Unified Image and Video Saliency Modeling
Visual saliency modeling for images and videos is treated as two indepen...
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Self-supervised Representation Learning for Ultrasound Video
Recent advances in deep learning have achieved promising performance for...
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Discovering Salient Anatomical Landmarks by Predicting Human Gaze
Anatomical landmarks are a crucial prerequisite for many medical imaging...
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Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors
Assessing tumor tissue heterogeneity via ultrasound has recently been su...
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Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
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UPI-Net: Semantic Contour Detection in Placental Ultrasound
Semantic contour detection is a challenging problem that is often met in...
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Conditional Segmentation in Lieu of Image Registration
Classical pairwise image registration methods search for a spatial trans...
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Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention
Image representations are commonly learned from class labels, which are ...
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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
One of the fundamental challenges in supervised learning for multimodal ...
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Adversarial Deformation Regularization for Training Image Registration Neural Networks
We describe an adversarial learning approach to constrain convolutional ...
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Label-driven weakly-supervised learning for multimodal deformable image registration
Spatially aligning medical images from different modalities remains a ch...
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Omega-Net: Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks
Pixelwise segmentation of the left ventricular (LV) myocardium and the f...
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Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks
In this paper, we describe how a patient-specific, ultrasound-probe-indu...
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Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks
Sonography synthesis has a wide range of applications, including medical...
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Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video
We present an automatic method to describe clinically useful information...
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Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization
Intensity variations in image texture can provide powerful quantitative ...
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