User profiles for Kevin T. Chen
 | Kevin T. ChenNational Taiwan University Verified email at ntu.edu.tw Cited by 1064 |
Ultra–Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs
Purpose To reduce radiotracer requirements for amyloid PET/MRI without sacrificing diagnostic
quality by using deep learning methods. Materials and Methods Forty data sets from 39 …
quality by using deep learning methods. Materials and Methods Forty data sets from 39 …
An SPM8-based approach for attenuation correction combining segmentation and nonrigid template formation: application to simultaneous PET/MR brain imaging
…, D Benoit, S Schachoff, S Fürst, KT Chen… - Journal of Nuclear …, 2014 - Soc Nuclear Med
We present an approach for head MR-based attenuation correction (AC) based on the
Statistical Parametric Mapping 8 (SPM8) software, which combines segmentation- and atlas-…
Statistical Parametric Mapping 8 (SPM8) software, which combines segmentation- and atlas-…
Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss
Purpose Our goal was to use a generative adversarial network (GAN) with feature matching
and task‐specific perceptual loss to synthesize standard‐dose amyloid Positron emission …
and task‐specific perceptual loss to synthesize standard‐dose amyloid Positron emission …
Anatomically-aided PET reconstruction using the kernel method
This paper extends the kernel method that was proposed previously for dynamic PET
reconstruction, to incorporate anatomical side information into the PET reconstruction model. In …
reconstruction, to incorporate anatomical side information into the PET reconstruction model. In …
Direct patlak reconstruction from dynamic PET data using the kernel method with MRI information based on structural similarity
Positron emission tomography (PET) is a functional imaging modality widely used in oncology,
cardiology, and neuroscience. It is highly sensitive, but suffers from relatively poor spatial …
cardiology, and neuroscience. It is highly sensitive, but suffers from relatively poor spatial …
Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning
Purpose We aimed to evaluate the performance of deep learning-based generalization of
ultra-low-count amyloid PET/MRI enhancement when applied to studies acquired with different …
ultra-low-count amyloid PET/MRI enhancement when applied to studies acquired with different …
Molecularly self-assembled nucleic acid nanoparticles for targeted in vivo siRNA delivery
Nanoparticles are used for delivering therapeutics into cells 1 , 2 . However, size, shape,
surface chemistry and the presentation of targeting ligands on the surface of nanoparticles can …
surface chemistry and the presentation of targeting ligands on the surface of nanoparticles can …
Rapid discovery of potent siRNA-containing lipid nanoparticles enabled by controlled microfluidic formulation
The discovery of potent new materials for in vivo delivery of nucleic acids depends upon
successful formulation of the active molecules into a dosage form suitable for the physiological …
successful formulation of the active molecules into a dosage form suitable for the physiological …
TCR clonotypes modulate the protective effect of HLA class I molecules in HIV-1 infection
H Chen, ZM Ndhlovu, D Liu, LC Porter, JW Fang… - Nature …, 2012 - nature.com
The human leukocyte antigens HLA-B*27 and HLA-B*57 are associated with protection
against progression of disease that results from infection with human immunodeficiency virus …
against progression of disease that results from infection with human immunodeficiency virus …
Gallium nitride-based complementary logic integrated circuits
… & Chen, KJ Integrated voltage reference and comparator circuits for GaN smart power chip
technology. In 2009 IEEE 21st International Symposium on Power Semiconductor Devices & …
technology. In 2009 IEEE 21st International Symposium on Power Semiconductor Devices & …