Domain shift is a common problem in clinical applications, where the tra...
With advances in generative artificial intelligence (AI), it is now poss...
In CMF surgery, the planning of bony movement to achieve a desired facia...
Domain generalization (DG) aims to train a model to perform well in unse...
In this work, we propose to explicitly use the landmarks of prostate to ...
Simulating facial appearance change following bony movement is a critica...
Regression plays an essential role in many medical imaging applications ...
Federated learning is an emerging paradigm allowing large-scale decentra...
Federated learning (FL) can collaboratively train deep learning models u...
Although radiographs are the most frequently used worldwide due to their...
Fusing intra-operative 2D transrectal ultrasound (TRUS) image with
pre-o...
Prostate cancer biopsy benefits from accurate fusion of transrectal
ultr...
Radiologists usually observe anatomical regions of chest X-ray images as...
The extensive use of medical CT has raised a public concern over the
rad...
Surgical training in medical school residency programs has followed the
...
We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose comput...
Unsupervised domain adaptation (UDA) is widely used to transfer a model
...
Reconstructed 3D ultrasound volume provides more context information com...
The high risk population of cardiovascular disease (CVD) is simultaneous...
While image analysis of chest computed tomography (CT) for COVID-19 diag...
Transrectal ultrasound (US) is the most commonly used imaging modality t...
Graph Convolutional Networks (GCNs) have been successfully applied to an...
This paper presents a unified training strategy that enables a novel
mul...
Medical image segmentation is a fundamental task in medical image analys...
Graph Convolutional Networks (GCNs) have made significant advances in
se...
Automatic medical image segmentation, an essential component of medical ...
Liver lesion segmentation is a difficult yet critical task for medical i...
The establishment of image correspondence through robust image registrat...
Accurate segmentation of the prostate from magnetic resonance (MR) image...
Recent studies have highlighted the high correlation between cardiovascu...
Known for its high morbidity and mortality rates, lung cancer poses a
si...
Purpose: The fusion of transrectal ultrasound (TRUS) and magnetic resona...
Robust and accurate alignment of multimodal medical images is a very
cha...
In this paper, we introduce a new CT image denoising method based on the...
Prostate segmentation from Magnetic Resonance (MR) images plays an impor...
Increasing use of CT in modern medical practice has raised concerns over...