User profiles for Ziyue Xu
Ziyue XuNVIDIA Verified email at nvidia.com Cited by 15616 |
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19
associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of …
associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of …
CT-realistic lung nodule simulation from 3D conditional generative adversarial networks for robust lung segmentation
Data availability plays a critical role for the performance of deep learning systems. This challenge
is especially acute within the medical image domain, particularly when pathologies are …
is especially acute within the medical image domain, particularly when pathologies are …
Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation
Recent advances in deep learning for medical image segmentation demonstrate expert-level
accuracy. However, application of these models in clinically realistic environments can …
accuracy. However, application of these models in clinically realistic environments can …
Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning
Remarkable progress has been made in image recognition, primarily due to the availability
of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs …
of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs …
Monai: An open-source framework for deep learning in healthcare
Artificial Intelligence (AI) is having a tremendous impact across most areas of science.
Applications of AI in healthcare have the potential to improve our ability to detect, diagnose, …
Applications of AI in healthcare have the potential to improve our ability to detect, diagnose, …
A review on segmentation of positron emission tomography images
Positron Emission Tomography (PET), a non-invasive functional imaging method at the
molecular level, images the distribution of biologically targeted radiotracers with high sensitivity. …
molecular level, images the distribution of biologically targeted radiotracers with high sensitivity. …
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin
is of key importance in many neurological research studies. Currently, measurements are …
is of key importance in many neurological research studies. Currently, measurements are …
When radiology report generation meets knowledge graph
Automatic radiology report generation has been an attracting research problem towards
computer-aided diagnosis to alleviate the workload of doctors in recent years. Deep learning …
computer-aided diagnosis to alleviate the workload of doctors in recent years. Deep learning …
Segmentation and image analysis of abnormal lungs at CT: current approaches, challenges, and future trends
The computer-based process of identifying the boundaries of lung from surrounding thoracic
tissue on computed tomographic (CT) images, which is called segmentation, is a vital first …
tissue on computed tomographic (CT) images, which is called segmentation, is a vital first …
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
The recent outbreak of Coronavirus Disease 2019 (COVID-19) has led to urgent needs for
reliable diagnosis and management of SARS-CoV-2 infection. The current guideline is using …
reliable diagnosis and management of SARS-CoV-2 infection. The current guideline is using …