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Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss
Nasopharyngeal Carcinoma (NPC) is a leading form of Head-and-Neck (HAN) ...
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Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
Despite that deep learning has achieved state-of-the-art performance for...
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One-Shot Object Localization in Medical Images based on Relative Position Regression
Deep learning networks have shown promising performance for accurate obj...
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Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma
Gross Target Volume (GTV) segmentation plays an irreplaceable role in ra...
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Learning Euler's Elastica Model for Medical Image Segmentation
Image segmentation is a fundamental topic in image processing and has be...
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UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Aggregating multi-level feature representation plays a critical role in ...
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Semi-supervised Medical Image Segmentation through Dual-task Consistency
Deep learning-based semi-supervised learning (SSL) algorithms have led t...
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Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets
Multi-organ segmentation has extensive applications in many clinical app...
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Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
Nuclei segmentation is a fundamental task in histopathology image analys...
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Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Ischemic stroke lesion segmentation from Computed Tomography Perfusion (...
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Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation
The segmentation of coronary arteries in X-ray angiograms by convolution...
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SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Clinical research on smart healthcare has an increasing demand for intel...
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CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
Recently, deep neural networks have demonstrated comparable and even bet...
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Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation
The 3D morphology and quantitative assessment of knee articular cartilag...
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Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks
The aim of this study is developing an automatic system for detection of...
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Quantized Densely Connected U-Nets for Efficient Landmark Localization
In this paper, we propose quantized densely connected U-Nets for efficie...
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CR-GAN: Learning Complete Representations for Multi-view Generation
Generating multi-view images from a single-view input is an essential ye...
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Interactive Reinforcement Learning for Object Grounding via Self-Talking
Humans are able to identify a referred visual object in a complex scene ...
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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Although Generative Adversarial Networks (GANs) have shown remarkable su...
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StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Synthesizing high-quality images from text descriptions is a challenging...
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Multispectral Deep Neural Networks for Pedestrian Detection
Multispectral pedestrian detection is essential for around-the-clock app...
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Visual Tracking via Reliable Memories
In this paper, we propose a novel visual tracking framework that intelli...
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Embedding Label Structures for Fine-Grained Feature Representation
Recent algorithms in convolutional neural networks (CNN) considerably ad...
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