In this paper, we propose a bi-modality medical image synthesis approach...
Automatic medical report generation (MRG) is of great research value as ...
Ground-air negotiation via speech communication is a vital prerequisite ...
Flight Trajectory Prediction (FTP) is an essential task in Air Traffic
C...
Medical image segmentation is a fundamental task in the community of med...
Medical image segmentation has made significant progress in recent years...
Multiple instance learning (MIL) has emerged as a popular method for
cla...
The advent of Vision Transformer (ViT) has brought substantial advanceme...
Deep learning has seen rapid growth in recent years and achieved
state-o...
Implicit neural rendering, which uses signed distance function (SDF)
rep...
Transferring prior knowledge from a source domain to the same or similar...
Modeling scene geometry using implicit neural representation has reveale...
Over the past few years, the rapid development of deep learning technolo...
Automated methods for Cobb angle estimation are of high demand for scoli...
Demystifying the delay propagation mechanisms among multiple airports is...
Nuclei Segmentation from histology images is a fundamental task in digit...
Vertebral landmark localization is a crucial step for variant spine-rela...
Directional area scattering factor (DASF) is a critical canopy structura...
Free-space-oriented roadmaps typically generate a series of convex geome...
Quadrotors are agile platforms. With human experts, they can perform
ext...
Nuclei segmentation is a crucial task for whole slide image analysis in
...
Computational cytology is a critical, rapid-developing, yet challenging ...
Recent work in computer vision and cognitive reasoning has given rise to...
Radiation therapy treatment planning is a complex process, as the target...
Deep neural networks (DNNs) for medical images are extremely vulnerable ...
Background and Objective: Biometric measurements of fetal head are impor...
Automatic Speech Recognition (ASR) is greatly developed in recent years,...
Session based model is widely used in recommend system. It use the user ...
In this paper, we address the problem of synthesizing multi-parameter
ma...
Previous approaches for scene text detection usually rely on manually de...
Classically, Fisher information is the relevant object in defining optim...