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1                                              ROI analyses taking into account GM volume changes showe
2                                              ROI analysis revealed reduced PFC-thalamic connectivity
3                                              ROI-based analysis of VNCa CT numbers showed a significa
4                                              ROIs were classified according to their location (white
5 eductions in [(11)C]carfentanil BPND in 8/10 ROI in HV.
6 r in cardiac arrest than in TBI in six of 12 ROIs (P < .01), while lambda perpendicular was higher in
7 in TBI than in cardiac arrest in eight of 12 ROIs (P < .01).
8                        Although 15 of the 16 ROIs increased in width between visits, only 11 showed a
9                                We defined 18 ROI within each acquisition pair as the basis for Mander
10                           Analysis of all 26 ROIs demonstrated predominance of SWI in the amount of w
11 compared with the A+N- group (n = 17) (all 4 ROIs; P < .001).
12 p also had lower FDG SUVR at baseline (all 4 ROIs; P < .01) compared with the A-N- group (n = 12).
13 etal regions) and gray matter volumes (all 4 ROIs; P < .05) compared with the A+N- group.
14 Kd(ND) was constrained to be constant across ROIs, whereas Bmax was allowed to be ROI-dependent and a
15 imated Bmax ranged from 0.3 to 6.1 nM across ROIs and animals.
16 and MAG3-SRF (bias, 95% limits of agreement: ROI vs MAG3 0.4%, -7.7% to 8.6%; MELV vs MAG3 0.4%, -8.9
17 en the VT of HABs, MABs, and LABs across all ROIs examined (P < 0.05).
18 iffered from that in control subjects in all ROIs in both patient groups (P < .01).
19 D, higher HOMA-IR predicted lower FDG in all ROIs.
20        When Kd(ND) was allowed to vary among ROIs, results were variable; therefore, Kd(ND) was const
21 nalysis, and a hybrid method that creates an ROI from factor analysis.
22                             We found that an ROI consisting of the posterior cingulate cortex/precune
23 rols using high-resolution MRI scans with an ROI approach focusing on the basal ganglia, thalamus and
24  example, small clusters of voxels within an ROI differed significantly between ages even in the abse
25               Sixty-eight reference anatomic ROIs with gross tumor and nodal targets were then manual
26 imination of global effects, voxel-based and ROI-based group comparison still revealed significantly
27                          The whole-brain and ROI analyses confirmed that the propensity of brain cell
28 as calculated between the image features and ROI-specific Gleason scores.
29 tient survival of RTRs was similar in NI and ROI.
30 SI of HC types of interobservers (O1-O2) and ROI sizes (4-8 mm) (p>0.05 for all parameters).
31 and 93.9 +/- 25.2 (P < 0.005 MELV vs RCV and ROI vs RCV).
32 The highest correlation between HC types and ROI sizes was in ROI size of 4 mm.
33                        Conclusion Visual and ROI-based analyses of dual-energy VNCa images had excell
34      PET and CT images were coregistered and ROIs drawn on the basis of the location of track markers
35  classification and annotation of images and ROIs of different properties with applications in cell b
36 on of two- and three- dimensional images and ROIs.
37 avelet in classifying both 3D image sets and ROIs.
38 across studies, pooled across volunteers and ROIs.
39 o significant differences in mean SI for any ROI and no group differences were found when DN-to-pons
40               A score of 4 or higher for any ROI containing TZ cancer was considered a positive detec
41  GBCA administered and signal change for any ROI.
42 en TBI ROIs and five of seven cardiac arrest ROIs (all P < .01).
43 ROIs (P < .05) and nine of 12 cardiac arrest ROIs (P < .01).
44  (P < .01) and in seven of 12 cardiac arrest ROIs (P < .05).
45                       Rightward asymmetrical ROI and links were observed in superior frontal lobe, ci
46 ults demonstrated that leftward asymmetrical ROIs and links were observed in frontal, parietal, tempo
47 SD = 0.46) versus 0.74 (SD = 0.34) mmol/L at ROI 1 versus 2a-2b (P = 0.0001) versus 3a-3b (P = 0.0001
48  across ROIs, whereas Bmax was allowed to be ROI-dependent and animal-dependent.
49 airwise density of connecting fibers between ROIs.
50           The vascular heterogeneity between ROIs was assessed by using the Wilcoxon signed rank test
51 emonstration of a causal interaction between ROIs within the drug-cue processing network in cocaine u
52 -dependent decline in brain metabolism, both ROI and SPM-based methods revealed significant changes;
53 g a simplified BP(ND), given as BP(ND-t) = C(ROI) - C(cerebellar hemispheres)/C(cerebellar hemisphere
54 ed 104 regions of interest (ROIs) (61 cancer ROIs, 43 normal ROIs) based on correlation of histologic
55 ori-motor cerebral and supramodal cerebellar ROIs and vice versa) in the ASD group.
56 red by two radiologists using three circular ROIs (three-ROIs), single-section (SS), and whole-tumor
57 n will most likely proceed via cometabolism (ROI < 1) or direct metabolism (ROI >/= 1).
58 alysis of replicas, of different conditions, ROI calculation, multivariate analysis, determination of
59 unctional connectivity between each cortical ROI and its corresponding thalamic ROI was quantified an
60 nectivity with six a priori defined cortical ROIs covering most of the cortical mantle.
61 l ROIs and of links interconnecting cortical ROIs.
62  differences in the connectivity of cortical ROIs and of links interconnecting cortical ROIs.
63                   Using anatomically defined ROIs in the caudate, amygdala, and visual cortex, we dev
64 activity, we tested whether a priori defined ROIs in the human AMC and vmPFC similarly modulate their
65                       The resultant deformed ROIs were compared with manually contoured reference ROI
66 tified neuroradiologist classified different ROIs into Expected (E) and Non-Expected (NE) based on th
67 counting the particles arriving to different ROIs.
68                                          DTI ROI-based analysis revealed a significant diagnosis by g
69 estigated with ARICS by generating a dynamic ROI.
70                                     For each ROI, a complete MRTM2 pharmacokinetic analysis, using th
71 iant texture features were obtained for each ROI.
72  and standard deviation of the SUVs for each ROI.
73          The average spectral data from each ROI and its group label were used to train our classific
74   The power spectrum of the BOLD within each ROI was calculated and divided into the following four f
75 ouple photo-tags to all proteins within each ROI, to a resolution of 0.67 microm in the xy-plane and
76 ethod) and elliptic region-of-interest (Elip-ROI) and region-growing (RG-ROI) techniques.
77 , and mean counts were calculated using Elip-ROI and RG-ROI techniques.
78 erver levels of agreement compared with Elip-ROI and manual traditional methods.
79 nces in FA values in the remaining evaluated ROIs, between MS patients and the control group.
80     The net 13-year $123.4-billion financial ROI from a 1-year cohort of cataract surgery patients wa
81  value, but also result in a large financial ROI to society.
82                                The financial ROI for direct ophthalmic medical costs expended for ran
83                               This financial ROI increases the wealth of the nation.
84 served and donated kidney was the lowest for ROI and RCV (median, 3% and 4%; 95th percentile, 9% and
85                     Higher median values for ROI FOMs were demonstrated for the test set conditions t
86 an of BPND + 1 and DVR30-150 < 1.5), and for ROIs with high (18)F-AV-1451 binding (hROIs, mean of BPN
87 ied from 30 to 130 min), for all values, for ROIs with low (18)F-AV-1451 binding (lROIs, mean of BPND
88                      Development of a formal ROI-based QA workflow for registration assessment demons
89              Time series data extracted from ROIs determined through our General Linear Model (GLM) a
90                                     Further, ROI and functional connectivity results suggest that the
91    Most sequencing technologies now generate ROIs distributed across the whole genome.
92 .48, P < 0.001) and posterior cingulate gyri ROIs (1.63 vs. 1.72, P < 0.001).
93 inferior, middle, and superior frontal gyri (ROI compensation).
94 al gyri and the left middle occipital gyrus (ROI depression).
95 degradability associated with PyOM of higher ROI; indicating that microbes exhibit a higher preferenc
96 uncturing the bowel serosa at the identified ROIs and lactates were measured using the EDGE analyzer.
97 ropy in SM#2 (same malignant process); (iii) ROI area size; (iv) metastasis site; and (v) entropy in
98        We detected relaxation of imprinting (ROI) and LOI of H19 in placentas not associated with dif
99 values were obtained throughout the brain in ROI-based quantification of the PET signal for PET/MR as
100    The observed graft survival was higher in ROI than NI (P<0.05) from 1994-2004.
101 lation between HC types and ROI sizes was in ROI size of 4 mm.
102 s were estimated using a region of interest (ROI) analysis and a confirmatory parametric analysis.
103 ilage was segmented, and region of interest (ROI) analysis was performed and compared with histologic
104 mizes the selection of a region of interest (ROI) and a cutoff value for the automated classification
105 s (4 mm and 8 mm) of the region of interest (ROI) and asking two different radiologists (interobserve
106 dministration in a given region of interest (ROI) and in the cerebellum.
107           Frontotemporal region of interest (ROI) and whole-brain exploratory analyses were conducted
108 a were evaluated using a region of interest (ROI) approach as well as on a vertex-by-vertex basis.
109  the mean volumes of 18 regions of interest (ROI) constituting the functional networks specifically v
110 res were extracted from Regions Of Interest (ROI) delineated on CT-scan using TexRAD software.
111 d on an a priori defined region of interest (ROI) in ventromedial prefrontal cortex (VMPFC), a brain
112 ysis on the basis of the region of interest (ROI) of VNCa CT numbers of infiltrated (n = 75) and norm
113 d consists of creating a region of interest (ROI) on a blood vessel, which is used to emit particles
114 ree different methods of region of interest (ROI) positioning for apparent diffusion coefficient (ADC
115 tion was derived using a region of interest (ROI) semiautomatically placed in the region of the mitra
116 h only a two-dimensional region of interest (ROI) surrounding each nodule, our CNN automatically reas
117 ight channel, in which a region of interest (ROI) was defined and continuously recorded by a frame ac
118                Spherical region of interest (ROI) was placed on the right hepatic lobe, spleen, pancr
119 e comparisons, multiple regions of interest (ROI) were defined in separate TM beam regions within the
120  from individual-lesion regions of interest (ROI), and patient-level, in which all lesions within a p
121 any spectral data) over Regions Of Interest (ROI), by performing per pixel operations or by applying
122 on the selection of the regions of interest (ROI), followed by a further data compression along the c
123           Average thymic region of interest (ROI), subjective assessment of thymic attenuation by usi
124          In the primary regions of interest (ROI), the A+N+ group (n = 45) had lower FDG SUVR at base
125                          Region of interest (ROI)-based measures on T2-weighted images (T2wi) were qu
126 e, which is appended to the RNA of interest (ROI).
127 PND) was assessed in 10 regions of interest (ROI).
128 through whole-brain and regions-of-interest (ROI) analyses in DMN.
129 tus, respectively, using region-of-interest (ROI) analyses, in 34 healthy adults (age, 46.5 +/- 6.0 y
130                          Region-of-interest (ROI) figures of merit (FOMs) and side-specific sensitivi
131  the measurements at the region-of-interest (ROI) level was computed as the standard deviation across
132 sease (AD) signature and region-of-interest (ROI) measures for (11)C-PiB retention ratio and (18)F-FD
133 real-time imaging with a region-of-interest (ROI) method.
134 ional brain networks and region-of-interest (ROI) networks of 5 healthy volunteers.
135 mean liver stiffness and region-of-interest (ROI) size were compared by using paired t tests.
136 ropy (FA) values within regions-of-interest (ROI) were measured in FA maps deduced from DTI, and were
137 nding was analyzed using region-of-interest (ROI)- as well as voxel-based methods in both the DAT-ric
138 PET/CT were assessed via region-of-interest (ROI)-based and voxel-based statistical group comparison.
139 s calculated in a square region-of-interest (ROI).
140 hologist identified 104 regions of interest (ROIs) (61 cancer ROIs, 43 normal ROIs) based on correlat
141 g low-ADC and high-rCBV regions of interest (ROIs) (hereafter, ADC-rCBV ROIs) were generated in contr
142 of the spectra from the regions of interest (ROIs) achieved over 94%, 92%, and 96% accuracy on the tr
143                         Regions of interest (ROIs) corresponding to enhancing necrotic portions of tu
144 map was evaluated using regions of interest (ROIs) drawn from multiple high-resolution images, Google
145       Three-dimensional regions of interest (ROIs) drawn on permeability images were automatically tr
146 l image sets as well as regions of interest (ROIs) in individual images for automatic classification
147 errogating micron-scale regions of interest (ROIs) in mammalian tissue, with no requirement for genet
148                     The regions of interest (ROIs) of the murals were manually labeled and grouped in
149 e asked to draw various regions of interest (ROIs) on specific features and report the maximum, minim
150 arceled into functional regions of interest (ROIs) on the basis of connectivity with six a priori def
151 th glioblastoma in five regions of interest (ROIs) per patient in the NEPTR at preoperative magnetic
152 cted bilateral a priori regions of interest (ROIs) relevant to MDD (anterior temporal, ventromedial p
153 ere segmented into 1015 regions of interest (ROIs) spanning the entire brain.
154 n each stained section, regions of interest (ROIs) were chosen and matched to the corresponding ADC m
155                    Five regions of interest (ROIs) were marked under AR guidance (1, 2a-2b, 3a-3b cor
156         Two rectangular regions of interest (ROIs) were placed at mandibular posterior interdental bo
157 ted images, ellipsoidal regions of interest (ROIs) with diameters of about 1.5 cm were created in the
158 ere calculated over two regions of interest (ROIs), at the invasive and luminal site defined by two r
159 erformed for unilateral regions of interest (ROIs), distinguished in two broad domains as sensori-mot
160 rived for AD-vulnerable regions of interest (ROIs), including lateral parietal and posteromedial cort
161 umes and single-section regions of interest (ROIs).
162 iding the volumes of 19 regions of interest (ROIs).
163 to anatomically defined regions of interest (ROIs).
164 predefined white matter regions of interest (ROIs).
165 using SPM or predefined regions of interest (ROIs).
166  to create 14 bilateral regions of interest (ROIs).
167 ntally obtained genomic regions of interest (ROIs).
168 o-pons SUV ratios in 12 regions of interest (ROIs).
169  for the following five regions of interest (ROIs): the dentate nucleus (DN), pons, substantia nigra
170 oid volume [MELV], smart region of interest [ROI] volume, renal cortex volume [RCV]) were performed i
171 normal peripheral zone regions of interests (ROIs) were identified through histologic and MR consensu
172 reas, resulting in 116 regions of interests (ROIs).
173 Generation of reactive oxygen intermediates (ROI) following antigen receptor ligation is critical to
174         A surgical biopsy of each intestinal ROI was sent for mitochondrial respiratory rate assessme
175 perspective, financial return on investment (ROI) for first-eye cataract surgery was $121,198, a 4567
176 ts of protection using return-on-investment (ROI) methods.
177           We propose a return-on-investment (ROI) parameter (DeltaE/Ea) for differentiating short-to-
178 nfer a large financial return-on-investment (ROI) to society.
179 rn Ireland (NI) and the Republic of Ireland (ROI) were linked to their respective cancer registries f
180 as similar between lesion- and patient-level ROIs.
181 rall intrareader variability with the manual ROI method (7.6% +/- 10.6) was not significantly differe
182 ements of K(trans) when compared with manual ROI methods, whereas intraobserver reproducibility is im
183 ging perfusion analysis software with manual ROI placement and a semiautomatic lesion segmentation an
184                                         Mean ROI sizes were 8495 mm(2) +/- 4482 for 2D GRE MR elastog
185                   Mean counts in mediastinal ROI were computed from a fixed volume in 3 different reg
186 iabetic individuals in the AD signature meta-ROI (1.32 vs. 1.40, P < 0.001) and in the angular (1.40
187 F-FDG ratio < 1.31) in the AD signature meta-ROI was more common in diabetic individuals (48.1%) than
188 cometabolism (ROI < 1) or direct metabolism (ROI >/= 1).
189  types was reliable in standard-applied 4-mm ROI.
190  types) between O1 and O2, and 4-mm and 8-mm ROI (p>0.05).
191 en VT and age for both HABs and MABs in most ROIs.
192 ypically developing group) for sensori-motor ROIs but predominantly reduced connectivity for supramod
193 - 0.08 vs 0.23 +/- 0.18, P = 0.000) or multi-ROI (0.16 +/- 0.14 vs 0.27 +/- 0.17, P = 0.009) analysis
194 otal of 2720 anatomic and 50 tumor and nodal ROIs were delineated.
195 f interest (ROIs) (61 cancer ROIs, 43 normal ROIs) based on correlation of histologic and MR findings
196 NFL damage in patients with glaucoma, an OCT ROI approach appears superior to the OCT global RNFL thi
197  Principal component and cluster analyses of ROI volumes were used to identify patient clusters with
198        Entropy was a logarithmic function of ROI area in normal control tissues (aorta, psoas) and in
199                               The quality of ROI registration between PET and MR was good to excellen
200                               The quality of ROI registration was graded (1, excellent; 2, very good;
201 ractical solutions for the interpretation of ROIs with the help of epigenomic data.
202 were further analyzed for the three types of ROIs, for a total of 54 image features.
203     However, we also show that a reliance on ROI-based prioritization can sometimes exacerbate disagr
204 nation of the translatability of the optimal ROI obtained in this study to other populations.
205                                          Our ROI analyses found that duration estimates were correlat
206 d on the inferior frontal gyrus (IFG) as our ROI, as recent studies have demonstrated both neurofunct
207 e frontal lobes that has been missed by past ROI analyses.
208 l tibial, lateral femoral and medial patella ROIs.
209 within a patient were grouped into a patient ROI for analysis.
210 was measured by placing the largest possible ROI on either the left or the right side of the body out
211 or-corrected p0.007 over individual a priori ROIs corresponding to approximate Bonferroni-corrected p
212 ni-corrected p0.05 across all seven a priori ROIs).
213 II cortical dysplasia on MRI, a quantitative ROI-based analysis (coefficient of variation) is also pr
214   Conclusion Volumetric analysis of ADC-rCBV ROIs in nonenhancing regions of GBM can be used to ident
215  status, the proportional volume of ADC-rCBV ROIs in nonenhancing regions significantly contributed t
216                    Cho/NAA ratio in ADC-rCBV ROIs was compared with that in control regions by using
217                             Results ADC-rCBV ROIs within contrast-enhancing and nonenhancing regions
218 ions of interest (ROIs) (hereafter, ADC-rCBV ROIs) were generated in contrast-enhancing and nonenhanc
219 between FA and BLFB measures in the recovery ROI (R = 0.54, p<0.02).
220 ficantly increased FA values in the recovery ROI compared with the control group at 5 and 6 weeks aft
221 e compared with manually contoured reference ROIs by using similarity coefficient metrics (ie, Dice s
222  extraction method to detect the RBC region (ROI) from the background, and then separate touching RBC
223 peatability measurements of defined regions (ROIs) of tumour and normal tissue were quantified as per
224                                All resulting ROI volumes were correlated with patient survival by usi
225 counts were calculated using Elip-ROI and RG-ROI techniques.
226 f-interest (Elip-ROI) and region-growing (RG-ROI) techniques.
227           Planar HMR calculated using the RG-ROI method showed highest intra- and interobserver level
228  using whole-tumor volume and single-section ROI analyses.
229 95) but was only moderate for single-section ROI analysis (range, 0.50-0.63).
230 ducibility when compared with single-section ROI analysis.
231 d from whole-tumor volume and single-section ROIs for prediction of histopathologic response.
232  based on the signal integration of selected ROIs (regions of interest), is proposed that allows the
233 py algorithm that accepts arbitrarily shaped ROIs.
234 mples displayed LOI of IGF2 and 10.8% showed ROI.
235 iB intervals also showed strong, significant ROI-based intersubject Pearson correlations with R1,DED/
236  whether the ADC was acquired through single-ROI (0.10 +/- 0.08 vs 0.23 +/- 0.18, P = 0.000) or multi
237 ient (ADC) values were obtained with a small ROI method in several white matter tracts within NAWM in
238 s from meta-analysis results on standardized ROIs (regions-of-interest) across multiple studies.
239                                     Striatal ROI outcomes were confirmed by the voxel-based analyses
240 minantly reduced connectivity for supramodal ROIs; and 3) this atypical pattern of connectivity was s
241 performance over RIR for anatomic and target ROI conformance, as shown for most comparison metrics (S
242 h for the determination of an optimal target ROI and an associated cutoff value for the separation of
243          Ideally, the accuracy of our target ROI and cutoff value could be further validated with PET
244 , and generalization of the resulting target ROIs were evaluated by use of the standardized uptake va
245  that in control subjects in three of 12 TBI ROIs (P < .05) and nine of 12 cardiac arrest ROIs (P < .
246 ambda perpendicular was increased in all TBI ROIs (P < .01) and in seven of 12 cardiac arrest ROIs (P
247 that in control subjects in six of seven TBI ROIs and five of seven cardiac arrest ROIs (all P < .01)
248  cortical ROI and its corresponding thalamic ROI was quantified and compared across groups.
249 P < 0.001, respectively) and in the thalamic ROIs (P = 0.027) of SPMS patients, compared with the con
250        Together, these data demonstrate that ROI regulate antiviral ASC expansion and have important
251                                          The ROI width associated with the optic DH was defined as th
252                                          The ROI-biodegradability relationship was sigmoidal with hig
253 was 104.4 (+/-21.58) pmolO2/second/mg at the ROI 1 versus 191.1 +/- 14.48 (2b, P = 0.03) versus 180.4
254 ximately 2 mol (1)H per liter of bone at the ROI level.
255 ary transcript is cleaved rapidly behind the ROI, thereby releasing always the same UFM, independent
256 ponding voxelwise correlations confirmed the ROI-based results.
257 all striatal heritability estimates from the ROI and parametric analyses were 0.44 and 0.33, respecti
258                                       In the ROI analyses, extrastriatal (123)I-FP-CIT binding ratios
259                              Results: In the ROI analyses, extrastriatal (123)I-FP-CIT binding ratios
260                                  RTRs in the ROI had three times the incidence (P<0.001) of NMSC comp
261 ound, and then separate touching RBCs in the ROI images by applying an improved random walk method ba
262                           Ratio of FA in the ROI of the NEPTR to that in the contralateral side (FAco
263                            The change in the ROI width (mean [SD], 8.0 degrees [6.4 degrees ]; 95% CI
264                            The change in the ROI width was compared with the change in the global RNF
265               Significant differences in the ROI-to-ROI analysis were followed up with voxelwise seed
266 sing always the same UFM, independent of the ROI sequence, polymerase, or promoter used.
267 usion Tumor ADCs are highly dependent on the ROI positioning method used.
268 rrelations between measures derived with the ROI method and other methods were only moderate (Pearson
269 d effective connectivity pattern between the ROIs of the drug-cue processing network (amygdala --> hi
270                 The connectivity between the ROIs was quantified with the streamlines connecting the
271 antified with the streamlines connecting the ROIs.
272 y patterns related to reading ability in the ROIs centered upon the putative VWFA.
273 ere were no demyelinative lesions within the ROIs in any of the patients.
274 ative image features were derived from these ROIs.
275                                        Three ROIs were drawn on the T1WI image in the tumours' centra
276  Respective accuracies of SS, WTV, and three-ROIs methods were 79% (49 of 62), 77% (48 of 62), and 61
277 ] and 0.648 [95% CI: 0.164, 0.895] for three-ROIs method, 0.608 [95% CI: 0.287, 0.844] and 0.582 [95%
278 adiologists using three circular ROIs (three-ROIs), single-section (SS), and whole-tumor volume (WTV)
279 thods yielded higher AUCs than did the three-ROIs method when determining CR from post-CRT ADC (0.874
280 as measured objectively by using mean thymic ROI measurement (P < .0001) and subjectively by using a
281 ewness can distinguish PC from normal-tissue ROIs, and ADC features correlate moderately with ROI-spe
282 -related changes showed findings parallel to ROI analyses.
283        Significant differences in the ROI-to-ROI analysis were followed up with voxelwise seed-based
284                  Positioning of the tracking ROI in the descending aorta achieved a significantly hig
285 ernative, 'delayed' position of the tracking ROI in the descending aorta.
286  perfusion CT vascular parameters at the two ROIs by either of the radiologists.
287 blood flow, MTT, K(trans), and PS at the two ROIs demonstrated good to moderate interobserver variabi
288                          The mean of the two ROIs was used to calculate mean FD by using the box-coun
289 erate interobserver variability (for the two ROIs, 0.46 and 0.44; 0.67 and 0.64; 0.41 and 0.72; and 0
290                                        Using ROI-based and searchlight-based fMRI multivoxel pattern
291                                        Using ROI-based and whole-brain searchlight-based MVPA, we fou
292 detection and localization accuracy by using ROI-receiver operating characteristics (ROC) curve analy
293 ts of FA index were performed manually using ROI (region of interest) tool.
294  determined from CT and the left ventricular ROI, and mean counts were calculated using Elip-ROI and
295  fluorescent dyes or antibodies to visualize ROIs, then soaked in solutions containing the photo-tag:
296 donation volume of the preserved kidney was (ROI, MELV, RCV) 148.0 +/- 29.1 cm, 151.2 +/- 35.4 and 93
297      The interpretation of these genome-wide ROIs represents a challenge as the majority of them lie
298  guide for the interpretation of genome-wide ROIs within an epigenomic context.
299 was demonstrated by showing concordance with ROI analysis and prior knowledge of iron accumulation in
300 eement over spatial priorities improves with ROI methods.
301 , and ADC features correlate moderately with ROI-specific Gleason scores.

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