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1  was assessed using immunohistochemistry and computer-assisted 3-dimensional reconstruction of in viv
2                                   Conclusion Computer-assisted 3D measurement of nodules at CT had go
3                                            A computer-assisted 3D reconstruction was used to analyze
4 ly half of study eyes using manual (48%) and computer-assisted (50%) techniques.
5                                              Computer-assisted algorithms redistribute codons in a he
6   In this study, we used multiple prediction computer-assisted algorithms to identify 10 potential HL
7                             Using predictive computer-assisted algorithms, we identified 10 potential
8 rawing reconstructions and quantitatively by computer-assisted analyses.
9                                        While computer-assisted analysis facilitated a determination o
10                                              Computer-assisted analysis identified nine PERV-envelope
11                                          The computer-assisted analysis of cell motility in mixed sus
12            These clusters were identified by computer-assisted analysis of DNA fingerprints submitted
13                                              Computer-assisted analysis of liver lipid level based on
14     We report here the results of elaborated computer-assisted analysis of newly sequenced replicases
15                                        Thus, computer-assisted analysis of PFGE patterns seemed to co
16                                              Computer-assisted analysis of pulsed-field gel electroph
17 ble element (MITE), mPing, was discovered by computer-assisted analysis of rice genome sequence.
18 ntroduce a framework for the coarse-grained, computer-assisted analysis of such stochasticity-induced
19                                          The computer-assisted analysis of the EPR data further provi
20                                              Computer-assisted analysis of the two B. melitensis prot
21 ctionation and detection, and Internet-based computer-assisted analysis, reporting, and data storage.
22    Rehybridization results were confirmed by computer-assisted analysis.
23 al immunohistochemistry and quantified using computer-assisted analysis.
24     Here we report the results of a combined computer-assisted and experimental analysis of the TEs i
25                  We describe and implement a computer-assisted approach for accelerating the explorat
26 celerate clock gene discovery, we utilized a computer-assisted approach to identify and prioritize ca
27 d implement evaluation designs that make our computer-assisted approach vulnerable to being proven su
28 with dementia and support caregivers using a computer-assisted assessment determining a personalized
29 responding patients had quantifiable CD30 by computer-assisted assessment of immunohistochemistry.
30  developed an analytical model, supported by computer-assisted calculation with yeast and mouse trans
31 features of astrocytes were determined using computer-assisted camera lucida.
32 o undergo treatment (n = 10), which entailed computer-assisted cognitive rehabilitation of attention
33 der were randomly assigned to 36 sessions of computer-assisted cognitive remediation or an active con
34 rent study was to develop a broadly targeted computer-assisted cognitive remediation program and cond
35 rability of a therapist-supported method for computer-assisted cognitive-behavioral therapy (CCBT) in
36 PHQ-9) were administered to the standardized computer-assisted Composite International Diagnostic Int
37 e more likely to report effects favoring the computer-assisted condition.
38 was calculated by a blinded observer using a computer-assisted contouring technique.
39                           Here we describe a computer-assisted de novo drug design method, EAISFD, wh
40 ical chemistry have enabled a renaissance of computer-assisted "de novo" design of molecules with des
41             The application of Convex-NMF in computer assisted decision support systems is expected t
42 ssium and glucose levels were regulated by a computer-assisted decision support system.
43                                New tools for computer-assisted decision-making and insect sampling at
44    Western analysis of tuber homogenates and computer-assisted densitometry of immunolabeled sections
45 med via DNA sequencing, and quantified using computer-assisted densitometry.
46  case status and year of mammogram performed computer-assisted density assessment.
47                                              Computer-assisted density readings were obtained from di
48 is study constitutes a first step toward the computer-assisted design of new and more efficient mater
49 ) of 5-7 muW/cm(2), calculated by a lighting computer-assisted design program modified for UV use.
50                                          The computer-assisted design was focused on the bioisosteric
51 oducing IPCA using the ugly duckling sign in computer-assisted diagnosis systems would be expected to
52  suggests that this system may be useful for computer-assisted diagnosis.
53 algorithms, optical imaging instruments, and computer-assisted diagnostic systems.
54 nent of fibrous tissue, can be quantified by computer-assisted digital image analysis (DIA) using his
55 opulations, and (v) is amenable to automatic computer-assisted DNA fingerprint analysis.
56     In agreement with our experimental data, computer-assisted docking of Ro 15-4513 into a molecular
57 reductase structure serves as a template for computer-assisted docking to evaluate the likelihood of
58      Molecular modeling of Fab33 followed by computer-assisted docking with the IN C-terminal domain
59 -targeting compounds that was selected using computer-assisted drug design.
60 cture of the ASPH catalytic site followed by computer-assisted drug design.
61 ilitate future drug development supported by computer-assisted drug design.
62                                An iterative, computer-assisted, drug design strategy that combines mo
63 , as well as recommendations for the role of computer-assisted ECG interpretation.
64              The da Vinci surgical system, a computer-assisted electromechanical device, provides the
65  studies of hypocotyl growth accomplished by computer-assisted electronic image capture and analysis
66                                    We used a computer-assisted ELISPOT approach to address these issu
67                                              Computer-assisted energy minimization and docking studie
68 ade use of new image-tracking algorithms and computer-assisted evaluation, but these methods have yet
69 ants were interviewed using a combination of computer-assisted face-to-face and self-completion quest
70           Participants were interviewed with computer-assisted face-to-face and self-completion quest
71 pleted the survey in their own homes through computer-assisted face-to-face interviews and self-inter
72 inting with the ERIC2 and BOXA1R primers and computer-assisted gel analysis and dendrogram constructi
73 -dimensional gel electrophoresis followed by computer-assisted gel image analysis was performed to re
74 DNA cloning, database homology searches, and computer-assisted gene prediction analyses.
75 m excretion in critically ill patients under computer-assisted glucose and potassium regulation.
76 etermine the intergrader reproducibility for computer-assisted grading of optical coherence tomograph
77 lysis of OCT images by trained graders using computer-assisted grading software allows for highly rep
78                                              Computer-assisted grading was done to determine central
79 cal coherence tomography (OCT) data by using computer-assisted grading.
80                          Fully automated and computer assisted heuristic data analysis approaches hav
81 cell migration into the cell-free zone using computer assisted histomorphometry.
82  fill on days 4, 6, and 9 was analyzed using computer-assisted histomorphometry.
83 ndaries (AOI 3 and 4) was accomplished using computer-assisted histomorphometry.
84 d centrally (AOI 2), were accomplished using computer-assisted histomorphometry.
85 alignment, ligand structural comparison, and computer-assisted homology modeling) as having direct mo
86 expect this pipeline to be the basis for the computer-assisted identification of new metabolites in f
87 tinal digital images were analyzed using the Computer Assisted Image Analysis of the Retina (CAIAR) p
88 nd medial habenula from autoradiograms using computer assisted image analysis.
89     When combined, intravital microscopy and computer-assisted image analysis (computer-assisted intr
90  168) were allocated to the subclasses using computer-assisted image analysis and microarray-based re
91 y reduced tumor angiogenesis, as measured by computer-assisted image analysis of CD31-stained tumor s
92                                              Computer-assisted image analysis of the prognostic marke
93 aptured, studied, and blindly analyzed using computer-assisted image analysis protocols.
94 sed at POD 90 for the development of GCAD by computer-assisted image analysis to determine intimal:me
95 functional readout, automated microscopy and computer-assisted image analysis were used to screen siR
96 hich neovascularization (NV) was assessed by computer-assisted image analysis.
97 racterized and staining was quantified using computer-assisted image analysis.
98                Staining was quantified using computer-assisted image analysis.
99  and assessed for the development of GCAD by computer-assisted image analysis.
100 nd VEGF immunoreactivity were measured using computer-assisted image analysis.
101 size and macrophage content were measured by computer-assisted image analysis.
102 of normal rats were measured by quantitative computer-assisted image analysis.
103  a quantitative histopathologic study, using computer-assisted image analysis.
104 h fluorescent, membrane-bound dyes and using computer-assisted image reconstruction.
105                              We did standard computer-assisted in-vitro migration assays of human ker
106  and training technologies, two of which are computer-assisted instruction and simulation-based instr
107 egies that include mass media communication, computer-assisted instruction and the Internet can be us
108                            DOD investment in computer-assisted instruction has continued from the 195
109 rature with the terms "Web-based learning," "computer-assisted instruction," "e-learning," "critical
110  An expert system (PERFEX) developed for the computer-assisted interpretation of myocardial perfusion
111 easurement technologies and sensitivity, and computer-assisted interpretation will improve understand
112 response burden such as telephone interview, computer-assisted interview, and proxy administration.
113          Current recall was examined through computer-assisted interviews with the Lifetime Tobacco U
114 6-44 years, resident in Great Britain, using computer-assisted interviews.
115 44 years who were resident in Britain, using computer-assisted interviews.
116 ne middle cerebral artery (MCA) velocity and computer-assisted intravital microscopy (CAIM) to determ
117 ities in the T1DM and T1DM-MV patients using computer-assisted intravital microscopy (CAIM).
118                                      We used computer-assisted intravital microscopy to characterize
119 oscopy and computer-assisted image analysis (computer-assisted intravital microscopy) represent the a
120              This study, the first report of computer-assisted ligand (drug) design for P450 enzymes
121                                              Computer-assisted live-prediction method would be an add
122          In vivo stable isotope labeling and computer-assisted metabolic flux analysis were used to i
123        We measured mammographic density by a computer assisted method and blood telomere length using
124 controlled trial was performed to evaluate a computer-assisted method for counting sponges using a ba
125 tions were analyzed with a three-dimensional computer-assisted method for measuring nodule volume.
126                                 We develop a computer-assisted method for the discovery of insightful
127 d compressed images were measured by using a computer-assisted method.
128 ed with a previously developed and validated computer-assisted method.
129                      We assessed PMD using a computer-assisted method.
130 ociated with breast cancer risk by using the computer assisted methods and BI-RADS.
131 ured from photographs at each examination by computer-assisted methods and summarized as the central
132    BI-RADS classification was as accurate as computer-assisted methods for discrimination of patients
133 en whereby data was indexed using manual and computer-assisted methods, with codes applied to depict
134 nt of nodule change in size as measured with computer-assisted methods.
135 tter/white matter boundary was determined by computer-assisted microscopy.
136                                        X-ray computer-assisted microtomography analysis of the head c
137 with other members of the Mn-SOD family, but computer-assisted modeling revealed some unusual feature
138                                    Validated computer-assisted models of neuromuscular organization d
139                                        These computer-assisted models predicted muscle organization d
140 nowledge, we utilized novel cell culture and computer-assisted models to evaluate which region(s) of
141                                   Using NMR, computer assisted molecular modeling (CAMM), and cluster
142 performed using two-dimensional (1)H NMR and computer-assisted molecular modeling (CAMM) techniques i
143                                              Computer-assisted molecular modeling predicted that hLF1
144  six peptides were selected for (1)H NMR and computer-assisted molecular modeling structural analysis
145                                              Computer-assisted molecular modeling suggested that simi
146 al experiments (two-dimensional (1)H NMR and computer-assisted molecular modeling) of this ligand res
147                                 Quantitative computer-assisted morphometric analyses of the two AMD-a
148 tive fibers were counted in each section and computer-assisted morphometric analysis (Image Pro Plus)
149 ology studies were completed with a specific computer-assisted morphometric method to quantify bronch
150 t AMD were analyzed using a semiquantitative computer-assisted morphometric technique developed to me
151                                              Computer-assisted morphometric techniques were used to d
152                                              Computer-assisted morphometry can provide precise measur
153            Lipid deposition was evaluated by computer-assisted morphometry in the aortas en face afte
154  conjunctival epithelia were estimated using computer-assisted morphometry of biopsy specimen cross s
155              The cystic area was measured by computer-assisted morphometry of pancytokeratin-stained
156 l levels over a 4-week period, determined by computer-assisted morphometry of sequential conjunctival
157  and spine distributions were analyzed using computer-assisted morphometry.
158 d spine distributions were analyzed by using computer-assisted morphometry.
159                                              Computer-assisted motif analysis reveals that toxins con
160                                              Computer-assisted navigation and intraoperative MRI has
161 nitive impairment in schizophrenia that uses computer-assisted neurocognitive training and group-base
162 sed on diastereoisomeric derivatives through computer-assisted NMR spectroscopy.
163 ught to assess adrenocortical function using computer-assisted numerical modeling methodology to char
164                                              Computer-assisted OCT grading may be useful for correcti
165                                              Computer-assisted or direct-drive robotic technology all
166                                              Computer-assisted pathway analysis tools linked IFN-gamm
167 omated detection of reactive metabolites via computer-assisted pattern recognition.
168 ability of measurements was reduced with the computer-assisted perimeter method compared with the dia
169             Parents or guardians completed a Computer-Assisted Personal Interview at baseline and eac
170                  Data were collected through computer-assisted personal interviews of a nationally re
171  and anxiety disorders were assessed through computer-assisted personal interviews using the DSM-IV v
172              Disorders were assessed through computer-assisted personal interviews utilizing the DSM-
173                           An approach to the computer-assisted, pharmacophore design of nonsteroidal
174 E identification to a less-invasive method - computer-assisted photographic identification (photoID)
175                                      We used computer-assisted photographic identification and captur
176 e lesion volume (the diameter method) with a computer-assisted planimetric technique (the perimeter m
177                                              Computer-assisted prediction of possible gKa binding sit
178 ic research projects require high-throughput computer-assisted primer design.
179                                  An enhanced computer-assisted procedure for the determination of the
180  a migration distance standard necessary for computer-assisted profile analysis.
181 m digital retinal fundus photographs using a computer-assisted program following a standardized gradi
182 oring to optimize treatment decisions; and a computer-assisted program to optimize delivery of CBT by
183 re measured from retinal photographs using a computer-assisted program.
184 d competition analyses were performed with a computer-assisted program.
185                                 Furthermore, computer-assisted promoter analysis of a subset of each
186 h group of differentially regulated genes by computer-assisted promoter analysis revealed putative IF
187 DI-TOF mass spectrometry in conjunction with computer-assisted protein spot matching.
188 dominal injections of active compounds and a computer-assisted quantification of behavior) can be use
189                                              Computer-assisted quantification of this vascular networ
190 C% with patient reported outcomes (PROs) and computer-assisted quantitation of extent of fibrosis (QL
191                     Staining was analyzed by computer-assisted quantitative and semiquantitative meth
192 s (AgNPs) and their motility was assessed by computer-assisted, quantitative swimming and capillary-b
193 ors for tuberculosis and HIV infection among computer-assisted questionnaire respondents support the
194 iency virus (HIV) risk factors obtained from computer-assisted questionnaires and interviewer-assiste
195 questionnaire respondents support the use of computer-assisted questionnaires to ascertain risk behav
196               However, respondents receiving computer-assisted questionnaires were more likely than t
197 al multivariate model, respondents receiving computer-assisted questionnaires were more likely to rep
198 onnaires, whereas the remaining 92 underwent computer-assisted questionnaires.
199 dardized uptake values (SUVmax) using volume computer-assisted reading.
200                       This article describes Computer-Assisted Reasoning, an approach to decision-mak
201                                              Computer-assisted registration is more accurate than the
202                                              Computer Assisted Relaxation Learning (CARL) is a self-p
203                                              Computer-assisted robotic surgery allows complex resecti
204                                            A computer-assisted search of medical records was conducte
205                                       We did computer-assisted searches, scanned reference lists, sea
206                                       We did computer-assisted searches, scanned reference lists, sea
207                                              Computer-assisted secondary structure probability analys
208                                            A computer-assisted segmentation technique with thin-secti
209                                              Computer assisted self-interviews contained items on the
210              Participants completed an Audio Computer-Assisted Self-Interview (ACASI), before test HI
211            All of the men completed the same computer-assisted self-interview approximately 3 weeks a
212 rs found high test-retest reliability with a computer-assisted self-interview on sexual behavior used
213 ed 18-26 years at select clinics completed a computer-assisted self-interview regarding sexual behavi
214 , in 2013-2014, we used an existing clinical computer-assisted self-interview that collects patients'
215                                  Using audio computer-assisted self-interview, 671 STD clinic patient
216 sessments, medical record abstraction, audio computer-assisted self-interview, and neurocognitive mea
217        Sexual behavior data were obtained by computer-assisted self-interview, and sera were collecte
218                After completing the clinical computer-assisted self-interview, men aged >/=18 years w
219 and interim behaviors were assessed by using computer-assisted self-interview.
220 t baseline and every 3 months using an audio computer-assisted self-interview.
221 d HIV screening were assessed using an audio-computer-assisted self-interview.
222                                        Audio computer-assisted self-interviewing (ACASI) may increase
223 es the development and usability of an audio computer-assisted self-interviewing (ACASI) questionnair
224 urvey questions administered using the audio computer-assisted self-interviewing method.
225           Behavioral data were collected via computer-assisted self-interviewing to reduce socially d
226 domized to a face-to-face interview or audio computer-assisted self-interviewing.
227 line and at regular study visits using audio computer-assisted self-interviewing.
228                                        Audio computer-assisted self-interviews (ACASI) were used to c
229 sychosocial assessments obtained using audio computer-assisted self-interviews.
230 motility by more than 10-fold as assessed by computer-assisted semen analysis.
231 t computed tomography, were measured using a computer-assisted semiautomatic analysis.
232                                            A computer-assisted, semiautomatic algorithm quantified th
233                                              Computer-assisted sequence analysis and limited proteoly
234                                              Computer-assisted sequence analysis of apoA-V predicts t
235                                              Computer-assisted sequence analysis revealed a single op
236 ctroporation with specific cellular markers, computer-assisted serial EM cell reconstruction, and tim
237 n of myosin light chains was created using a computer-assisted simulation environment.
238 tage density as a continuous measure using a computer-assisted software program from mammograms image
239                                            A computer-assisted software program was used to quantify
240                      We recently developed a computer-assisted speech-training program to provide the
241 thm gives results comparable to the standard computer-assisted sperm analysis (CASA) system.
242 n on sphincter exercises; (3) hospital-based computer-assisted sphincter pressure biofeedback; and (4
243 Histological analysis, immunohistochemistry, Computer Assisted Stereology Toolbox morphometry, and im
244 ng labelled structures from EM volumes using computer-assisted strategies.
245         Then, we used epitope prediction and computer-assisted structural analysis to screen five dom
246 m can be used as a filter for metabolites in Computer Assisted Structure Elucidation or to select nat
247                                              Computer assisted structure elucidation was performed fo
248 of the molecular constitution using standard computer-assisted structure elucidation (CASE) and is fo
249                                              Computer-assisted structure elucidation (CASE) has been
250 r experiment) and 1,n-ADEQUATE combined with computer-assisted structure elucidation software led to
251 nd heteronuclear correlations and the use of computer-assisted structure elucidation software.
252 ructure proposals or structures generated by computer-assisted structure elucidation.
253 is challenge, an automated platform entitled computer-assisted structure identification (CASI) was de
254                                              Computer-assisted studies of structure, function and evo
255                                              Computer-assisted surgery will contribute to reproducibl
256 ional (3D) computed tomography image-derived computer-assisted surgical planning (3D CASP) in ALDLT.
257 er, the ultimate role of robotic-assisted or computer-assisted surgical systems remains unclear.
258 nd tracking system was developed using audio computer-assisted survey methodology with touch screens.
259 al state-automated geriatric examination for computer assisted taxonomy), which were then used to est
260 hat addresses some of these challenges using computer-assisted techniques for finding positions and t
261 ich seems to imply a basic rejection of many computer-assisted techniques originally designed to add
262    Retinal vessel calibre was measured using computer-assisted techniques to determine mean arteriola
263                          Mothers completed a computer-assisted telephone interview 1.5-24 months afte
264 tors for pyelonephritis, ascertained through computer-assisted telephone interview and computerized d
265 consumption, were collected using a detailed computer-assisted telephone interview at approximately 1
266 ake interview, transvaginal ultrasonography, computer-assisted telephone interview, and follow-up ass
267 aring history were assessed at baseline by a computer-assisted telephone interview.
268 people of all ages in 2013 (n = 7,193) using computer-assisted telephone interviewing.
269 ected from women's surgical records and from computer-assisted telephone interviews at 5, 21, and 33
270 g pregnancy was assessed prospectively via 3 computer-assisted telephone interviews during pregnancy
271                                              Computer-assisted telephone interviews were conducted wi
272 lf-report health questionnaire (n = 1409), a computer-assisted telephone survey health interview (n =
273                               We conducted a computer-assisted telephone survey of a representative s
274 o potential adverse events, is needed before computer-assisted therapies are widely disseminated or m
275           Seventy-five studies that examined computer-assisted therapies for a range of axis I disord
276 al analysis of randomized clinical trials of computer-assisted therapies for adult psychiatric disord
277 growing body of randomized trials evaluating computer-assisted therapies meets current standards of m
278                                              Computer-assisted therapies offer a novel, cost-effectiv
279 studies have indicated promising results for computer-assisted therapies, this emerging field has not
280                                            A computer-assisted three-dimensional (3D) system, 3D-DIAS
281                           Image analysis and computer-assisted three-dimensional reconstruction of wi
282                                    We used a computer-assisted thresholding method to measure percent
283 Mammographic density was measured by using a computer-assisted thresholding method.
284 82%) female family members using a validated computer-assisted thresholding method.
285 raphic percent density was estimated using a computer-assisted thresholding program.
286  in the Rule Out Myocardial Infarction Using Computer Assisted Tomography I (ROMICAT I) study.
287 ule Out Myocardial Infarction/Ischemia Using Computer Assisted Tomography) comparing an initial coron
288  of the Rule Out Myocardial Infarction using Computer Assisted Tomography, or ROMICAT, II trial who u
289 icenter Rule Out Myocardial Infarction using Computer-Assisted Tomography (ROMICAT) II trial, we enro
290     The Rule Out Myocardial Infarction Using Computer-Assisted Tomography (ROMICAT) trial was an obse
291   In the Rule-Out Myocardial Infarction With Computer-Assisted Tomography (ROMICAT)-II multicenter, c
292 A) from Rule Out Myocardial Infarction Using Computer-Assisted Tomography I. rCTP was assessed semiqu
293 hs and limitations of algorithms of existing computer-assisted tools at the most advanced stage of de
294 t were quantified using previously validated computer-assisted tools, and all results were visually r
295 onal, developmental approach that integrates computer-assisted training in neurocognition with social
296 is built based on large-scale image capture, computer-assisted unbiased image analysis and quantifica
297                                   I focus on computer-assisted video tracking to monitor fly activity
298                                              Computer-assisted virtual endoscopy and the wireless pil
299  volume measurements were performed by using computer-assisted volume measurement software.
300 T) were measured by using a 3D semiautomated computer-assisted volume method.

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