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公開日期
標題
作者
來源出版物
scopus
WOS
全文
2010
An accelerated ordered subsets reconstruction algorithm using an accelerating power factor for emission tomography
Hsiao I.-T.; HSUAN-MING HUANG
Physics in Medicine and Biology
14
11
2016
Accelerating an ordered-subset low-dose X-ray cone beam computed tomography image reconstruction with a power factor and total variation minimization
HSUAN-MING HUANG
; Hsiao I.-T.
PLoS ONE
11
10
2015
Acceleration of MAP-EM algorithm via over-relaxation
Tsai Y.-J.; HSUAN-MING HUANG
; Fang Y.H.D.; Chang S.-I.; Hsiao I.-T.
Computerized Medical Imaging and Graphics
2
2
2015
Accuracy of dual-energy computed tomography for the quantification of iodine in a soft tissue-mimicking phantom
Li J.-H.; Du Y.-M.; HSUAN-MING HUANG
Journal of Applied Clinical Medical Physics
18
16
2018
Accuracy of using high-energy prompt gamma to verify proton beam range with a Compton camera: A Monte Carlo simulation study
HSUAN-MING HUANG
; Jan M.-L.
Applied Radiation and Isotopes
1
1
2011
Analysis of metabolism of 6FDG: A PET glucose transport tracer
Muzic R.F.; Chandramouli V.; HSUAN-MING HUANG
; Wu C.; Wang Y.; Ismail-Beigi F.
Nuclear Medicine and Biology
5
5
2014
Assessment of hepatic fatty infiltration using dual-energy computed tomography: A phantom study
Li J.-H.; Tsai C.-Y.; HSUAN-MING HUANG
Physiological Measurement
16
15
2023
Classification of peripheral blood neutrophils using deep learning
Tseng, Tser-Rei; HSUAN-MING HUANG
Cytometry. Part A : the journal of the International Society for Analytical Cytology
3
0
2017
Combining acceleration techniques for low-dose x-ray cone beam computed tomography image reconstruction
HSUAN-MING HUANG
; Hsiao I.-T.
BioMed Research International
0
0
2020
A deep learning approach for converting prompt gamma images to proton dose distributions: A Monte Carlo simulation study
Liu C.-C.; HSUAN-MING HUANG
Physica Medica
13
11
2021
Deep neural networks enabled isotropic quantitative differential phase contrast microscopy
Li, An Cin; Lin, Yu Hsiang; HSUAN-MING HUANG
; YUAN LUO
Proceedings of SPIE - The International Society for Optical Engineering
0
0
2020
Denoising of multi b-value diffusion-weighted MR images using deep image prior
YU-CHUN LIN
; HSUAN-MING HUANG
Physics in Medicine and Biology
18
16
2019
Development of a Dual-Energy Computed Tomography-Based Segmentation Method for Collateral Ligaments: A Porcine Knee Model
Du Y.-M.; Yang Q.-F.; Shen W.-T.; HSUAN-MING HUANG
Journal of Medical and Biological Engineering
2
2
2023
Differentiation between normal and abnormal kidneys using 99mTc-DMSA SPECT with deep learning in paediatric patients
Lin, C; Chang, Y-C; Chiu, H-Y; Cheng, C-H; HSUAN-MING HUANG
Clinical radiology
2020
Dose image prediction for range and width verifications from carbon ion-induced secondary electron bremsstrahlung x-rays using deep learning workflow
Yamaguchi M.; Liu C.-C.; HSUAN-MING HUANG
; Yabe T.; Akagi T.; Kawachi N.; Yamamoto S.
Medical Physics
16
14
2021
Dynamic PET reconstruction using the kernel method with non-local means denoising
HSUAN-MING HUANG
Biomedical Signal Processing and Control
6
5
2015
Effective anatomical priors for emission tomographic reconstruction
Tsai Y.-J.; HSUAN-MING HUANG
; Chou C.-Y.; Wang W.; Hsiao I.-T.
Journal of Medical and Biological Engineering
4
3
2009
Fast iterative reconstructions for animal CT
HSUAN-MING HUANG
; Hsiao I.-T.; Jan M.-L.
Journal of Instrumentation
0
0
2008
Fast optical transillumination tomography with large-size projection acquisition
HSUAN-MING HUANG
; Xia J.; Haidekker M.A.
Annals of Biomedical Engineering
2
1
2009
A fast OS-type Bayesian reconstruction with an edge-preserving median prior
Hsiao I.-T.; HSUAN-MING HUANG
; Lin K.-J.
Journal of Instrumentation
1
0