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1 (bilinear for 3D images and trilinear for 4D images).
2 coregistered with cardiac magnetic resonance images.
3 and DCNNs interpret these seemingly nonsense images.
4 ensurate behavioral deficits for late-solved images.
5  mental images with less precision than seen images.
6 cting the detection of change on macular OCT images.
7 before pupil dilation for fundoscopy and OCT imaging.
8 patients were found to have cysts on initial imaging.
9 ued close monitoring with multimodal retinal imaging.
10 us expanding the scope of cryogenic cellular imaging.
11 -dimensional single-molecule superresolution imaging.
12 l for immunoprobing and confocal/light-sheet imaging.
13 a functional assay based on cytosolic Ca(2+) imaging.
14 and outside of functional magnetic resonance imaging.
15 2) of women who used the Callascope for self-imaging.
16 c death underwent cardiac magnetic resonance imaging.
17 brain T(RM) cells was revealed by intravital imaging.
18 ecause of insufficient understanding of void imaging.
19 targeted fabrication of lamellae and cryo-ET imaging.
20 sis of the diffraction pattern in wide-field imaging.
21 e, a technique which can be used for in vivo imaging.
22 ygenation Levels (PISTOL) magnetic resonance imaging.
23 ion, the MoS(2) FET crossbar array optically images 1000 handwritten digits and electrically recogniz
24 domized trial underwent computed tomographic imaging 30 days and 1 year after transcatheter aortic va
25 cer, or leukemia underwent whole-body PET/CT imaging 90 min after injection of (18)F-SKI (mean, 241.2
26                                     For each image, a single radiologist dictated a standard phrase d
27 robubble data processing methods, applied to images acquired with a Verasonics Vantage 256 system, ca
28 this article, we utilized a smartphone-based image acquisition method for capturing RBC images from t
29       The typical radiomic workflow includes image acquisition, segmentation, feature extraction, and
30 erpretation, quality assurance is key during image acquisition.
31 R lymphangiography at 1.5 T with T1-weighted imaging after interstitial pedal of gadolinium-based con
32    Consequently, this pH-activatable optical imaging agent may be clinically beneficial in differenti
33 may alter the predictive values of molecular imaging agents for endocrine therapy response.
34                       A custom computational imaging algorithm we call SARA-COIL is used to reconstru
35 for learning basic concepts about ultrasound imaging, allowing students to significantly improve thei
36                                              Image analysis of motile cell populations, both primary
37                Specifically, we adapt modern image analysis technology to determine the parcel-specif
38 cally conducted off-line through microscopic image analysis, or by first collecting cells from each o
39 ridaz is a novel PET MPI agent with superior image and defect resolution.
40                                           We imaged and quantified the flow and flux of small molecul
41 were calculated from midsagittal T2-weighted images and compared across groups.
42  confidence in interpreting ultrasonographic images and handling the ultrasound scanner on a scale fr
43     Wound care professionals rely heavily on images and image documentation for proper diagnosis and
44     The correlation of the scanning-probe IR images and the mechanical phase image enables a combined
45 sively in the visualization of hyperspectral images and the MSI data specifically, such as principal
46 models of both measurements (bilinear for 3D images and trilinear for 4D images).
47                       Combining high-content imaging and cluster analysis, we show that in male rats
48 t containing k-space data as well as Digital Imaging and Communications in Medicine image data of kne
49                   Strategies for selectively imaging and delivering drugs to tumours typically levera
50                             The cold neutron imaging and diffraction instrument IMAT, at the second t
51 separated and independently analyzed by both imaging and flow velocity analyses.
52  the CNV lesion size, as revealed by in vivo imaging and immunohistochemistry from day 3 to day 14 co
53 cular function, as assessed by laser Doppler imaging and iontophoresis of acetylcholine and localized
54                       This model facilitates imaging and quantitative functional assessment.
55     Here, we have combined two-photon Ca(2+) imaging and single-cell electrophysiology in awake behav
56                       Photoluminescence (PL) imaging and the spatial-resolved PL intensity and lifeti
57                             By using in vivo imaging and transfusion experiments, we further confirme
58 ing colour histograms (obtained from digital images) and multivariate analysis.
59 er layer (RNFL) thickness maps, RNFL en face images, and confocal scanning laser ophthalmoscopy (CSLO
60  in macaque monkeys while viewing real-world images, and found visual responses and category selectiv
61 ines serial affinity purification, live cell imaging, and cross-linking mass spectrometry to build in
62 y of fields such as structural biology, cell imaging, and drug discovery.
63 ls are a powerful system for discovery, live imaging, and functional investigation of cell states thr
64     (2020) use an innovative single-molecule imaging approach in yeast cells to measure chromatin ass
65                 Imaging data from The Cancer Imaging Archive and genomic data from The Cancer Genome
66 the conventional three dimensional MR scalar images are replaced with spatially resolved multidimensi
67 arly diagnosis and interpretation of medical images as well as the discovery and development of new t
68  to death or symptomatic stroke confirmed by imaging, assessed by a neurologist at each centre not in
69 participants underwent a complete multimodal imaging assessment with a confocal scanning laser ophtha
70 ely unexplored due to the lack of real-space imaging at single particle resolution.
71 , we introduce a full-field approach to wave imaging based on the concept of the distortion matrix.
72 ld on recent achievements in the accuracy of image-based AI for skin cancer diagnosis to address the
73 mbination deficient cellular phenotypes, the image-based algorithm was studied prospectively on 10,24
74  applicability of our approach to facilitate image-based pooled CRISPR screens.
75 typically slowly progressive, and objective, imaging-based biomarkers are critically needed.
76                              Furthermore, we image biological phenomena that would be otherwise chall
77 ect of (68)Ga-PSMA-HBED-CC as a quantitative imaging biomarker.
78                                           We imaged both eyes of preterm infants with an investigatio
79 feature map in the form of a two-dimensional image by minimizing the pairwise distance values followi
80                          Current methods for imaging cellular metabolism are limited by low sensitivi
81                         Whenever the retinal image changes, some neurons in visual cortex increase th
82 %-99.7%) by the combination of histology and imaging/clinical follow-up.
83 pretraining using 494,364 labeled endoscopic images collected from all intestinal segments.
84 hese studies demonstrate that the mapping of image content to image memorability is not only predicta
85         The recent demonstrations of in vivo imaging, control and therapeutic medical applications of
86                     Cognitive Impairment and Imaging Correlates in End Stage Renal Disease, NCT018833
87 od behavior, they've been shown to have self-image costs: Those who receive incentives view their act
88                                      Orbital imaging could not diagnose sarcoidosis.
89  compared with preprocedural cross-sectional images (CT/MRI).
90                            Conclusion: Human image data acquired on a conventional whole-body PET/CT
91 gital Imaging and Communications in Medicine image data of knee images for accelerated MR image recon
92 ten digits and electrically recognizes these imaged data with 94% accuracy.
93 of resting-state FC using magnetic resonance imaging data from 101 CNV carriers, 755 individuals with
94                                              Imaging data from The Cancer Imaging Archive and genomic
95 itron emission tomography/magnetic resonance imaging data of 18kDa translocator protein (an inflammat
96  evaluated for their impact on the PET brain imaging data.
97 iologically informed subtypes based on brain imaging data.
98                                  We directly image defect nanodomains in the MOF UiO-66(Hf) over an a
99                                      The MRI images demonstrated that side positioning gives better c
100 ns routinely conducted in magnetic resonance imaging departments in patients with MS, which include n
101 t the same time, quality of super-resolution imaging depends on high label specificity, making remova
102 or compensation by relating diffusion-tensor-imaging-derived parameters of white matter microstructur
103 ng (18)F-DCFPyL or multiparametric MRI, with imaging detection concordance of 25% (82 of 323) when in
104 are professionals rely heavily on images and image documentation for proper diagnosis and treatment.
105 ced MRI sequences such as diffusion-weighted imaging, dynamic contrast enhanced sequences, and magnet
106 ing-probe IR images and the mechanical phase image enables a combined probing of mechanical material
107 he results have applications in the field of image enhancement algorithm as well as noise reduction i
108 s were interpreted in a core laboratory by 2 imaging experts, using the visual Deauville 5-point scal
109         AxoNet does not rely on hand-crafted image features for axon recognition and is robust to var
110                                    The liver imaging features generated by CNN may have the potential
111     Combining TPE with fluorescence lifetime imaging (FLIM) and spectral analyses offers the potentia
112 l as follow up functional magnetic resonance imaging (fMRI) in the more restricted scanner environmen
113                Functional magnetic resonance imaging (fMRI) revealed two distinct patterns of activit
114 ce faces using functional Magnetic Resonance Imaging (fMRI).
115  95 months (range, 8-219 months), and median imaging follow-up lasted 41 months (range, 0-189 months)
116 ommunications in Medicine image data of knee images for accelerated MR image reconstruction using mac
117 se of an automatic slide loader automates 3D imaging for high sample-throughput.
118 linical records, fundus photographs, and OCT imaging for patients with CLN2 disease collected during
119 mitter gamma-aminobutyric acid (GABA) at non-image-forming brain targets.
120                          Given a single-cell image from one of the stages, ImageAEOT generates an art
121 ite matter integrity (p = 2.5x10-7) in brain images from 1,738 young healthy adults, providing insigh
122 images (Heidelberg HRA + Spectralis) and FAF images from 97 patients/eyes with GA with dry AMD were c
123                  The overall accuracy of VNC images from SDCT is high and independent from dose, kern
124   In this work, we used immunohistochemistry images from the Human Protein Atlas as the source of sub
125 d image acquisition method for capturing RBC images from the SCD patients in normoxia and hypoxia con
126 ession are monitored by using histopathology images from these infected animals.
127                               A proper 3D/4D image fusion needs to take into account the difference i
128  opportunities for molecular diagnostics and image-guided biomedical applications.
129 d the European Association of Cardiovascular Imaging guidelines for predicting elevated pulmonary art
130                    Ninety-seven confocal NIR images (Heidelberg HRA + Spectralis) and FAF images from
131                     In addition, SEM and AFM images illustrated a completely non-uniform surface afte
132 omy, the fresh whole prostate specimens were imaged in patient-specific three-dimensionally printed m
133 take patterns of whole-body (18)F-FDG PET/CT images in patients with lung cancer and lymphoma.
134             Here, we used integrated optical imaging in a rat self-administration and a mouse noncont
135 s the validity of DW magnetic resonance (MR) imaging in comparison with contrast-enhanced computed to
136       Here, we use live-cell single-molecule imaging in human cells to determine rate constants of th
137 gi staining reagent, NBD C(6) -ceramide, NIR imaging in the Golgi apparatus has been demonstrated usi
138 ary statistical methods for functional brain imaging-including univariate contrast, searchlight multi
139 ion of disease are decreasing the demand for imaging independent of COVID-19.
140 ient may no longer be present at the time of image interpretation, quality assurance is key during im
141 Here we use infrared photothermal heterodyne imaging (IR-PHI) to interrogate single, high aspect rati
142 locity and pressure fields directly from the images is challenging.
143 tified as active, demonstrating that thermal imaging is a promising approach for the clinical assessm
144    Among many accessible tools in diagnostic imaging, IVIM MRI aroused the interest of many researche
145      Therefore, [(11)C]13 is a potential PET imaging ligand for mGluR2 in different central nervous s
146 nstrate that the mapping of image content to image memorability is not only predictable, but also non
147    Here we demonstrate a robust high-content imaging method for the assessment of synaptic changes an
148          Currently, a volumetric vasculature imaging method with sub-capillary spatial resolution and
149 es often occur across days or weeks, but few imaging methods can capture such long timescales.
150  into one of the most versatile and powerful imaging methods of the nanoscale over the past two decad
151                        Fluorescence lifetime imaging microscopy (FLIM) is a key technology that provi
152 herapeutics, and hemodynamic data from other imaging modalities (e.g. MRI).
153                                  The primary imaging modalities used to select patients for endovascu
154 RI with contrast material enhancement is the imaging modality of choice to evaluate sonographically i
155 G PET/CT) has recently emerged as another IE imaging modality, although diagnostic accuracy varies ac
156                           Magnetic resonance imaging (MRI) and evaluation of the R2* relaxation rate
157 ucting rotarod, diffusion magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), and
158 py (FORS), Raman spectroscopy, multispectral imaging (MSI), and macro X-ray fluorescence (MA-XRF) wit
159                                 Analogies to imaging, newborn screening, routine testing panels, and
160                                              Imaging nine additional species with cryo-electron tomog
161       The use of Near Infrared-Hyperspectral Imaging (NIR-HSI), together with machine learning method
162 t T1-weighted and fat-suppressed T2-weighted images (no contrast agent).
163 ial registration accuracy, image uniformity, image noise, and image quality.
164                                          MRI images obtained on day of life 4-7 were scored according
165 rate diC8-PI(3,4,5)P(3), providing the first image of a 5-phosphatase with a trapped substrate in its
166 uction of a volume electron microscopic (EM) image of the female brain, we map all inputs and outputs
167  eyes by the revision of cross-sectional OCT images of 6-mm volume scans.
168                            We found that 2-D images of objects were arranged according to conceptual
169 r, such behavior is possible without storing images of shapes in memory that are accessible to more t
170            The described improvements in the imaging of bone metastases and their response to therapy
171 renchyma, allowed high-content time-resolved imaging of cell migration.
172 rescent protein (GFP) enable high-resolution imaging of dopamine dynamics in behaving animals.
173  by specific ligands might enable the direct imaging of EpiSCs after MI to better understand their bi
174 or targeted near-infrared (NIR) fluorescence imaging of glucagonlike peptide 1 receptor (GLP-1R)-posi
175 capacity of BPI for optogenetics and calcium imaging of human neurons.
176              Here we combine superresolution imaging of human RPE1 cells, a classic model for studyin
177 formity in conjunction with (18)F-FDG PET/CT imaging of mini image-quality phantoms designed to fit t
178 etric rate of 14 Hz, and large field of view imaging of neurons, developing embryos, and centimeter-s
179 nd its use as a research tool for diagnostic imaging of obesity/diabetes, bacterial infection, and ca
180                              Single molecule imaging of p44/p62 complexes without XPD reveals they bi
181                        Using live time-lapse imaging of primary resected tumors, we discover that tum
182 f tissue oxygen tension (pO(2)) using Proton Imaging of Siloxanes to map Tissue Oxygenation Levels (P
183 easing interests in using magnetic resonance imaging only in radiation therapy require methods for pr
184 ated the quality of late-phase (>150 ms from image onset) IT population code and produced commensurat
185                             Microstimulation+imaging opened a unique possibility for investigating th
186 response (CR) rate on end-of-treatment (EOT) imaging or with pathologic confirmation at 100 days post
187 sive simulation studies, the analyses of PET-imaging outcomes from the Alzheimer's Disease Neuroimagi
188  rates in subgroups at high risk for adverse imaging outcomes, including young women and children.
189 riteria based on contemporary cardiovascular imaging parameters are proposed for the assessment of CC
190 reness of this entity is low, and a specific imaging pattern has not yet been identified.
191 e checkpoint intervention, we quantitatively imaged PD-1/PD-L1 interactions in tumor samples from pat
192 hat transcriptional correlates of depression imaging phenotypes track gene down-regulation in postmor
193 relationship between genotypes and molecular imaging phenotypes.
194                   Based on current evidence, imaging plays an ancillary role in the management of tho
195 Computer Applications-General (Informatics), Image Postprocessing, Informatics, Neural Networks, Neur
196  and erasing functions, which allow in-pixel image pre-processing.
197 s through convolutional neural network-based image processing, including relative area under the curv
198 gy (177)Lu energy peak, solid-state SPECT/CT imaging provided an accuracy to within approximately 20%
199 tion with dual-contrast enhanced subtraction imaging provides new opportunities for molecular diagnos
200 ariations in the extent of ON tissue damage, image quality, and species of mammal.
201 accuracy, image uniformity, image noise, and image quality.
202 diation exposure while preserving diagnostic image quality.
203  with less activity, without a compromise in image quality.
204 nction with (18)F-FDG PET/CT imaging of mini image-quality phantoms designed to fit the new imaging s
205 rospectively from existing anonymized Doheny Image Reading Center datasets.
206                                          The imaging readouts can be obtained in both preclinical mod
207 image data of knee images for accelerated MR image reconstruction using machine learning is presented
208 label-free antigen microarray on the Arrayed Imaging Reflectometry (AIR) platform for detection of an
209 n as an add-on layer after the completion of image registration is thus a viable option for cardiac m
210 -II emitters for gastrointestinal (GI) tract imaging remains challenging due to fluorescence quenchin
211                            Field-based brain imaging research, including populations underrepresented
212 was 0.73 and 0.60 using iodine MD and 52-keV images, respectively.
213   Subsequently, high-resolution fluorescence imaging results consolidated the potential of NBD-Bu for
214                                              Imaging revealed an atypical form of rhombencephalosynap
215                              In vivo calcium imaging revealed that different GA drugs activate a shar
216 hemical analysis, micro-computed tomographic imaging, scanning electron microscopy, corrosion casting
217  Resting-state functional magnetic resonance imaging scans were acquired from 25 unmedicated, treatme
218                           Magnetic resonance imaging scans were obtained in 3 patients undergoing PPV
219 ed questionnaire data and Magnetic Resonance Imaging scans.
220 oved personalized dosimetry using simplified imaging schemes.
221              Conclusion The functional liver imaging score derived from gadoxetic acid-enhanced MRI i
222 amework (Keras) is applied to the problem of image segmentation using a U-Net.
223                                   We present image sequences containing internal temporal structure t
224                       High magnification SEM images show that the thin film is comprised of a network
225                                          PET images showed focal myocardial (18)F-FOL uptake colocali
226  analysis of non-normalized SW-AF and NIR-AF images; signal intensities were significantly lower in a
227 nant dimension, and back-projecting into the image space, we extracted a behaviourally interpretable
228                             As a new type of imaging spectroscopy, SMOLM exposes the organizational a
229 A for different times at pH 5.0 and directly image structural changes using single-particle cryo-elec
230                                              Imaging studies are necessary to rule out the presence o
231                      Magnetic resonance (MR) imaging studies have demonstrated reduced global and reg
232       In vivo fluorescence and photoacoustic imaging studies highlight the ability of this probe to d
233                                Using in vivo imaging, such as optical coherence tomography, scanning
234 ntage 256 system, can provide a non-invasive imaging surrogate biomarker of tissue oxygenation status
235                                 The proposed imaging system can sense the changes in areas near to th
236 age-quality phantoms designed to fit the new imaging system.
237 techniques in the field of mass spectrometry imaging: t-distributed stochastic neighborhood embedding
238 to many multicomponent fluorescence lifetime imaging targets that require cellular resolution and mol
239                    Rationale: Tissue Doppler imaging (TDI) is an echocardiographic method that measur
240          Ultrasonography is the first-choice imaging technique to evaluate liver transplants.
241 vivo radiologic imaging with ex vivo optical imaging techniques for assessing hypoxia, microvasculatu
242 ctive coronary artery disease, intravascular imaging techniques might be needed to delineate the unde
243 nfection with SARS-CoV-2 is microbiological, imaging techniques play an important role in supporting
244 transgenic mouse line, optical clearing, and imaging techniques, combined with electrophysiological t
245      A perspective on the future use of live imaging technologies and overcoming their current limita
246                                              Imaging technologies have been developed to address thes
247  that have been identified using advances in imaging technology, analysis of current research into ho
248 s or with portable units, are the first-line imaging test because they are widely available and econo
249 success in various domains, especially using images, text, and speech.
250 umor margin assessment by generating en face images that correlate with histology and may be used to
251  Here we show by in vivo fluorescence and MR imaging, that LN paracortical zones are profoundly acidi
252 herapy-induced Cherenkov light to excite and image the phosphorescence lifetimes within the tissue.
253 easure cell metabolism, while simultaneously imaging the cells to measure division.
254  11.0, 12.1, 13.6, and 15.2 Gy per MBq/mL at image times of 24, 48, 72, and 96 h, respectively.
255 onfocal scanning laser ophthalmoscopy (CSLO) images to identify eyes with GVFD and predict quantitati
256       Flow metrics were derived from the CMR images to provide some local information about blood flo
257  modelling and functional magnetic resonance imaging to describe how humans select predictors that mi
258 ncluded feeding and swaddling infants before imaging to encourage infants to sleep during the scan.
259 es from SOD1(G37R) mice and performed Ca(2+)-imaging to monitor PSC activity and used immunohistochem
260 ears) underwent optical coherence tomography imaging to quantify foveal point thickness and foveal pi
261 eranostic model by showing a requirement for imaging to quantify, in situ, the concentration of a met
262              Here we use live and fixed cell imaging to uncover the role of Nek8445 in regulating Gia
263                                     Anatomic imaging tools such as echocardiography and cardiac CT or
264 tablish tau positivity (T+) for multiple tau-imaging tracers in order to reach a consensus on normal
265 tempted to understand the molecular basis of imaging traits based on the interpretation of what the n
266 l resolution, spatial registration accuracy, image uniformity, image noise, and image quality.
267 its performance against that of conventional image upscaling methods.
268                                  Fluorescent imaging using 6qcNIR allows 100% tumor margin assessment
269        SES disadvantage patients had similar imaging utilization and outcomes as compared to their co
270 reach a consensus on normal and abnormal tau imaging values that can be universally implemented in cl
271               In data set 5 (80 patients and images) values for the CAD system vs those of the genera
272                                GA on NIR/FAF images was defined in accordance to recently published C
273                       MACE within 5 years of imaging was adjudicated.
274 , and time between initial treatment and PET imaging was evaluated.
275                   Contrast material-enhanced imaging was not available at the time of recent presenta
276                                              Imaging was performed with a prototypical stack-of-spira
277 ures accounted for 73.2% of all visits where imaging was performed.
278               Gone are the days when medical imaging was used primarily to visualize anatomic structu
279                           Diffusion-weighted imaging was used to compare atypical haemangiomas and me
280                        Using single-molecule imaging, we demonstrate that both condensin I and II exh
281 ity and spatial resolution of cellular force imaging, we developed a force-activatable emitter report
282                                          FFC images were acquired to assess their contrast-generating
283                                              Images were assessed for the presence of RMA.
284                                Also, DP-CBCT images were compared with preprocedural cross-sectional
285                                          OCT images were graded for central macular thickness (CMT) a
286                                              Images were processed and CT was estimated using FreeSur
287             Fingolimod-treated EAE mice were imaged with (18)F-FAC PET to assess if this approach can
288 art of their clinical outcome measures, were imaged with diffusion MRI before and after the infusion.
289 sual areas should encode variation in mental images with less precision than seen images.
290                        Patients have initial imaging with chest radiography and ultrasound, which can
291 ross-validate and compare in vivo radiologic imaging with ex vivo optical imaging techniques for asse
292 ized approach to incorporating intravascular imaging with percutaneous coronary intervention may over
293    Glucagon-like peptide 1 receptor (GLP-1R) imaging with radiolabeled exendin has proven to be a pow
294 y, we combined functional magnetic resonance imaging with semantic content analyses to investigate th
295 operties translate to high-performance X-ray imaging with sensitivity up to 173 muC Gy(air) (-1) cm(-
296                 Purpose To determine whether imaging with the HER2-targeted PET tracer zirconium 89 (
297                                              Images within these three groups contained either recurr
298 n lesion morphology in the same test bank of images without any aids and then with the aid of a simpl
299 hin tissue sections from the same block were imaged, yielding a dataset of more than 2 petabytes.
300 ce with zG-specific expression of GCaMP3 and imaged zG cells within their native rosette structure.

 
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