期刊： MEDICAL IMAGE ANALYSIS, 2023; 83 ()
The recent surge in performance for image analysis of digitised pathology slides can largely be attributed to the advances in deep learning. Deep mode......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 85 ()
We present our novel deep multi-task learning method for medical image segmentation. Existing multi-task methods demand ground truth annotations for b......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 85 ()
Transformer, one of the latest technological advances of deep learning, has gained prevalence in natural language processing or computer vision. Since......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 86 ()
The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance imaging (dMRI) provides a valuable quantitative tool for the ana......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 86 ()
The convolutional neural network (CNN) is one of the most commonly used architectures for computer vision tasks. The key building block of a CNN is th......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 87 ()
Traditional medical image segmentation methods based on deep learning require experts to provide extensive manual delineations for model training. Few......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 88 ()
Deep-learning models have enabled performance leaps in analysis of high-dimensional functional MRI (fMRI) data. Yet, many previous methods are subopti......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 90 ()
Renal tubular structures, such as ureters, arteries and veins, are very important for building a complete digital 3D anatomical model of a patient. Ho......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 83 ()
Automatic segmentation of the placenta in fetal ultrasound (US) is challenging due to the (i) high diversity of placenta appearance, (ii) the restrict......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 83 ()
This paper proposes a deep learning framework to encode subject-specific transformations between facial and bony shapes for orthognathic surgical plan......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 84 ()
Dynamic magnetic resonance imaging (MRI) acquisitions are relatively slow due to physical and physiological limitations. The spatial-temporal dictiona......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 87 ()
Despite the undeniable progress in visual recognition tasks fueled by deep neural networks, there exists recent evidence showing that these models are......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 88 ()
Abdominal multi-organ segmentation in multi-sequence magnetic resonance images (MRI) is of great significance in many clinical scenarios, e.g., MRI-or......
期刊： MEDICAL IMAGE ANALYSIS, 2023; 89 ()
Learning an effective and compact representation of human brain function from high-dimensional fMRI data is crucial for studying the brain's functiona......
