45 citations
- Ping An (China)6 papers
- Chang Gung UniversityTW5 papers
- Johns Hopkins UniversityUS3 papers
- National Tsing Hua UniversityTW3 papers
- First Affiliated Hospital Zhejiang UniversityCN2 papers
- Linkou Chang Gung Memorial HospitalTW2 papers
- University of South CarolinaUS2 papers
- University of TartuEE2 papers
- University of TorontoCA2 papers
- Vanderbilt UniversityUS2 papers
- Bennett UniversityIN1 paper
- Inventec (Taiwan)TW1 paper
14 papers
Initial Experience of Metabolic Imaging with Hyperpolarized [1-13C]pyruvate MRI in Kidney Transplant Patients
Xiaoxi Liu, Ying-Chieh Lai., Di Cui +5
BACKGROUND: Kidney transplant is the treatment of choice for patients with end-stage renal disease. Early detection of allograft injury is important to delay or prevent irreversibl…
Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
Sergio González, Abel Ko-Chun Yi, Wan-Ting Hsieh +4
Cardiovascular diseases, including Heart Failure (HF), remain a leading global cause of mortality, often evading early detection. In this context, accessible and effective risk ass…
MUVINE: Multi-stage Virtual Network Embedding in Cloud Data Centers using Reinforcement Learning based Predictions
Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo
The recent advances in virtualization technology have enabled the sharing of computing and networking resources of cloud data centers among multiple users. Virtual Network Embeddin…
Failure Aware Semi-Centralized Virtual Network Embedding in Cloud Computing Fat-Tree Data Center Networks
Chinmaya Kumar Dehury, Prasan Kumar Sahoo
In Cloud Computing, the tenants opting for the Infrastructure as a Service (IaaS) send the resource requirements to the Cloud Service Provider (CSP) in the form of Virtual Network…
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Yuhang Lu, Kang Zheng, Weijian Li +8
Accurate segmentation of anatomical structures is vital for medical image analysis. The state-of-the-art accuracy is typically achieved by supervised learning methods, where gather…
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression
Jinzheng Cai, Ke Yan, Chi-Tung Cheng +4
Identifying, measuring and reporting lesions accurately and comprehensively from patient CT scans are important yet time-consuming procedures for physicians. Computer-aided lesion/…