Deep learning in medical image super resolution: a review

H Yang, Z Wang, X Liu, C Li, J Xin, Z Wang - Applied Intelligence, 2023 - Springer
Super-resolution (SR) reconstruction is a hot topic in medical image processing. SR implies
reconstructing corresponding high-resolution (HR) images from observed low-resolution …

A spatiotemporal volumetric interpolation network for 4d dynamic medical image

Y Guo, L Bi, E Ahn, D Feng… - Proceedings of the …, 2020 - openaccess.thecvf.com
Dynamic medical images are often limited in its application due to the large radiation doses
and longer image scanning and reconstruction times. Existing methods attempt to reduce …

Mpvf: 4d medical image inpainting by multi-pyramid voxel flows

TT Wei, C Kuo, YC Tseng… - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Generatinga detailed 4D medical image usually accompanies with prolonged examination
time and increased radiation exposure risk. Modern deep learning solutions have exploited …

BVI-VFI: A video quality database for video frame interpolation

D Danier, F Zhang, DR Bull - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
Video frame interpolation (VFI) is a fundamental research topic in video processing, which is
currently attracting increased attention across the research community. While the …

Pre-trained Transformer-based Parallel Multi-channel Adaptive Image Sequence Interpolation Network

H Liu, G Chen, M Liu, L Nie - … on Circuits and Systems for Video …, 2024 - ieeexplore.ieee.org
Image sequence interpolation is a critical research area in computer vision with broad
applications in video frame interpolation and medical image interlayer interpolation …

[PDF][PDF] 融合特征金字塔与可变形分离卷积的CT 图像层间插值方法

胡志宏, 刘孝保, 姚廷强, 申吉泓 - Laser & Optoelectronics …, 2024 - researching.cn
摘要针对计算机断层扫描(CT) 序列图像中层间分辨率远低于层内分辨率的问题,
提出了一种融合特征金字塔与可变形分离卷积的CT 图像层间插值网络. 该网络由两个模块构成 …

An image interpolation approach for acquisition time reduction in navigator-based 4D MRI

N Karani, L Zhang, C Tanner, E Konukoglu - Medical image analysis, 2019 - Elsevier
Navigated 2D multi-slice dynamic Magnetic Resonance (MR) imaging enables high contrast
4D MR imaging during free breathing and provides in-vivo observations for treatment …

Temporal interpolation via motion field prediction

L Zhang, N Karani, C Tanner, E Konukoglu - arXiv preprint arXiv …, 2018 - arxiv.org
Navigated 2D multi-slice dynamic Magnetic Resonance (MR) imaging enables high contrast
4D MR imaging during free breathing and provides in-vivo observations for treatment …

Reducing navigators in free-breathing abdominal MRI via temporal interpolation using convolutional neural networks

N Karani, C Tanner, S Kozerke… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Navigated 2-D multi-slice dynamic magnetic resonance imaging (MRI) acquisitions are
essential for MR guided therapies. This technique yields time-resolved volumetric images …

Temporal Interpolation via Motion Field Prediction

Z Lin, K Neerav, T Christine, K Ender - Medical Imaging with Deep …, 2022 - openreview.net
Navigated 2D multi-slice dynamic Magnetic Resonance (MR) imaging enables high contrast
4D MR imaging during free breathing and provides in-vivo observations for treatment …