Combining deep learning image analysis methods and large-scale imaging datasets offers
many opportunities to neuroscience imaging and epidemiology. However, despite these …

Accurate and robust segmentation of lung cancers from CT, even those located close to
mediastinum, is needed to more accurately plan and deliver radiotherapy and to measure …

Deep neural networks have been extensively studied for undersampled MRI reconstruction.
While achieving state-of-the-art performance, they are trained and deployed specifically for …

Due to the flexible training requirement and the appealing generalization ability, unpaired
image dehazing has received increasing attention in coping with real-world hazy images …

Computational optical imaging (COI) systems have enabled the acquisition of high-
dimensional signals through optical coding elements (OCEs). OCEs encode the high …

摘要膝关节骨关节炎是一种常见的创伤性, 退行性骨关节疾病, 膝骨关节各结构的损伤均可诱发
不同程度的病变. 磁共振图像是膝关节骨关节炎临床诊断的重要依据. 目前 …

The huge computational requirements and memory footprint limit the practical deployment of
super resolution (SR) models. Knowledge distillation (KD) allows student networks to obtain …

Magnetic Resonance Imaging (MRI) reconstruction has made significant progress with the
introduction of Deep Learning (DL) technology combined with Compressed Sensing (CS) …

Deep cascaded architectures for magnetic resonance imaging (MRI) acceleration have
shown remarkable success in providing high-quality reconstruction. However, as the …

Respiration rate is a vital parameter to indicate good health, wellbeing, and performance. As
the estimation through classical measurement modes are limited only to rest or during slow …