|
nasopharyngeal carcinoma |
18 |
|
deep learning |
13 |
|
mri |
13 |
|
covid-19 |
11 |
|
esophageal squamous cell carcinoma |
11 |
|
brain microstructure |
10 |
|
cognition |
10 |
|
diffusion kurtosis imaging |
10 |
|
functional outcome |
10 |
|
intracranial germ cell tumor |
10 |
|
neurotoxicity |
10 |
|
radiomics |
10 |
|
adc |
9 |
|
brain |
9 |
|
chest x-ray |
9 |
|
computed tomography |
9 |
|
dce-mri |
9 |
|
dw-mri |
9 |
|
mrs |
9 |
|
nomogram |
9 |
|
prediction model |
9 |
|
white cell count |
9 |
|
4d flow |
8 |
|
cardiovascular magnetic resonance |
8 |
|
circulating neoplastic cell |
8 |
|
circulating tumor dna |
8 |
|
direct flow |
8 |
|
hfpef |
8 |
|
intraventricular flow |
8 |
|
liquid biopsy |
8 |
|
residual volume |
8 |
|
alkaline phosphatase |
7 |
|
biliary |
7 |
|
cholangiogram |
7 |
|
ketamine |
7 |
|
machine learning |
7 |
|
magnetic resonance cholangiography |
7 |
|
substance abuse |
7 |
|
survival |
7 |
|
asymptomatic |
6 |
|
half-life clearance |
6 |
|
high cardiovascular risk |
6 |
|
intensity-modulated radiation therapy |
6 |
|
magnetic resonance imaging |
6 |
|
magnetization transfer |
6 |
|
neoadjuvant chemoradiotherapy |
6 |
|
plasma epstein–barr virus deoxyribonucleic acid |
6 |
|
prognosis |
6 |
|
prognostication |
6 |
|
radiogenomic |
6 |
|
screening |
6 |
|
specific absorption rate |
6 |
|
stress cardiac magnetic resonance |
6 |
|
tissue contrast |
6 |
|
type 2 diabetes |
6 |
|
ultra-low-field |
6 |
|
18f-fdg pet |
5 |
|
artificial intelligence |
5 |
|
cervical cancer |
5 |
|
fluorine-18-fluorodeoxyglucose |
5 |
|
functional assessment |
5 |
|
head and neck cancer |
5 |
|
head and neck cancers |
5 |
|
imbalanced datasets |
5 |
|
intravoxel incoherent motion |
5 |
|
knee osteoarthritis |
5 |
|
multidisciplinary management |
5 |
|
neoadjuvant therapy |
5 |
|
npc |
5 |
|
pain |
5 |
|
positron-emission tomography |
5 |
|
protocol |
5 |
|
randomized controlled trial |
5 |
|
re-sampling techniques |
5 |
|
sham acupuncture |
5 |
|
sinew acupuncture |
5 |
|
therapeutic evaluation |
5 |
|
treatment outcome |
5 |
|
tumour board |
5 |
|
bioinformatics |
4 |
|
bone marrow |
4 |
|
chest radiographs |
4 |
|
curriculum |
4 |
|
data mining |
4 |
|
diffusion measurement |
4 |
|
dimensionality reduction |
4 |
|
extranodal extension |
4 |
|
fat–water decomposition mri |
4 |
|
hands-on training |
4 |
|
hematological toxicity |
4 |
|
medical students |
4 |
|
nodal staging |
4 |
|
outcome |
4 |
|
pneumonia |
4 |
|
point-of-care ultrasound |
4 |
|
prostate cancer |
4 |
|
quantitative mri analysis |
4 |
|
radiation therapy |
4 |
|
thigh muscle segmentation |
4 |
|
ultrasound |
4 |
|
18f-fdg pet/ct |
3 |
|
b-values |
3 |
|
coils |
3 |
|
comparability |
3 |
|
diffusion-weighted imaging |
3 |
|
fabrication |
3 |
|
fluorodeoxyglucose f 18 |
3 |
|
liver |
3 |
|
lung cancer |
3 |
|
measurement |
3 |
|
ophthalmic specialty clinics |
3 |
|
percist |
3 |
|
prostate |
3 |
|
public health care system |
3 |
|
q-factor |
3 |
|
relaxometry |
3 |
|
response criteria |
3 |
|
response evaluation |
3 |
|
run length |
3 |
|
texture analysis |
3 |
|
triage |
3 |
|
wireless communication |
3 |
|
asia |
2 |
|
capsulenet |
2 |
|
chemoradiotherapy |
2 |
|
classification |
2 |
|
computational biology |
2 |
|
convolution neural network |
2 |
|
convolutional neural network |
2 |
|
deep brain stimulation |
2 |
|
diagnosis |
2 |
|
diffusion magnetic resonance imaging |
2 |
|
dropout |
2 |
|
early detection |
2 |
|
image acquisition |
2 |
|
image segmentation |
2 |
|
imaging |
2 |
|
infections |
2 |
|
joints |
2 |
|
ldct screening |
2 |
|
medical imaging |
2 |
|
medical physics |
2 |
|
medicine |
2 |
|
memory |
2 |
|
mr images classification |
2 |
|
multi-parametric mri |
2 |
|
neural network |
2 |
|
neuromodulation |
2 |
|
none |
2 |
|
nonsmokers |
2 |
|
observer variation |
2 |
|
osteoarthritis |
2 |
|
pi-rads classification |
2 |
|
positron emission tomography with computed tomography |
2 |
|
prognostic model |
2 |
|
progression-free survival |
2 |
|
radiotherapy |
2 |
|
segmentation |
2 |
|
severe acute respiratory syndrome coronavirus 2 |
2 |
|
systems biology |
2 |
|
toxicity |
2 |
|
transformer cnn |
2 |
|
uterine cervical neoplasms |
2 |
|
weakly supervised learning |
2 |
|
abdominal ct |
1 |
|
adaptive statistical iterative reconstruction |
1 |
|
aging-related disease risk and mortality |
1 |
|
asir |
1 |
|
cervical lymphadenopathy |
1 |
|
chest |
1 |
|
chest ct |
1 |
|
china |
1 |
|
clinical feature |
1 |
|
compressed sensing |
1 |
|
computed tomography (ct) |
1 |
|
computer applications-detection |
1 |
|
conventional radiography |
1 |
|
coronavirus disease 2019 |
1 |
|
coronavirus disease 2019 (covid-19) |
1 |
|
correlation |
1 |
|
ct |
1 |
|
ct colonography |
1 |
|
disease severity |
1 |
|
drosophila |
1 |
|
dxa (dual-energy x-ray absorptiometry) |
1 |
|
endometrial ablation |
1 |
|
entrainment |
1 |
|
esophageal neoplasms |
1 |
|
genomics |
1 |
|
glucocorticoid |
1 |
|
hand |
1 |
|
head and neck oncology |
1 |
|
image enhancement |
1 |
|
image processing |
1 |
|
image quality |
1 |
|
image reconstruction |
1 |
|
iterative reconstruction |
1 |
|
kidney |
1 |
|
kvp |
1 |
|
large dataset |
1 |
|
light |
1 |
|
low dose |
1 |
|
low dose ct |
1 |
|
low-dose computed tomography (ct) |
1 |
|
low-dose ct |
1 |
|
low-dose ct abdomen |
1 |
|
low-dose ct abdomen/pelvis |
1 |
|
low-rank |
1 |
|
lung nodule |
1 |
|
material decomposition |
1 |
|
mbir |
1 |
|
menorrhagia |
1 |
|
metabolic biomarkers |
1 |
|
model-based |
1 |
|
model-based iterative reconstruction |
1 |
|
multi-energy computed tomography (multi-energy ct) |
1 |
|
musculoskeletal sonography |
1 |
|
nasopharyngeal region |
1 |
|
noise index |
1 |
|
npc nodal metastasis |
1 |
|
nuclear magnetic resonance |
1 |
|
opportunistic screening |
1 |
|
osteoporosis |
1 |
|
peripheral circadian clock |
1 |
|
radiation dosage |
1 |
|
radiogenomics |
1 |
|
radiology |
1 |
|
reconstruction algorithm |
1 |
|
renal colic |
1 |
|
review |
1 |
|
sonography |
1 |
|
sparse-view ct reconstruction |
1 |
|
spectral computed tomography |
1 |
|
tensile stress |
1 |
|
tensor dictionary learning (tdl) |
1 |
|
tensor gradient l₀-norm |
1 |
|
thorax ct |
1 |
|
transfer learning |
1 |
|
tube current modulation |
1 |
|
two-step regularization |
1 |
|
urolithiasis |
1 |
|
visceral adipose tissue |
1 |
|
weighted total variation |
1 |
|
wrist |
1 |
|
x-ray imaging |
1 |
|
zebrafish |
1 |
