ライフサイエンスコーパス: retinal image

1 ents add rotational velocity patterns to the retinal image.

2 ld signal pattern-independent changes in the retinal image.

3 ze of objects varying with the size of their retinal image.

4 ral remodeling triggered by deprivation of a retinal image.

5 bjects is maintained across movements of the retinal image.

6 en its simplicity and direct relation to the retinal image.

7 ent where fundus cameras are used to capture retinal image.

8 tion, which are inherently confounded in the retinal image.

9 motion and self-motion are confounded in the retinal image.

10 1) best reflect stimulus position in the two retinal images.

11 oint spread function images and in simulated retinal images.

12 e point spread function images and simulated retinal images.

13 fractal dimension were measured from digital retinal images.

14 etinal arteries and veins on optical section retinal images.

15 cations to construct depth-displaced en face retinal images.

16 llenging because each object produces myriad retinal images.

17 urces of optical structure that generate our retinal images.

18 g to structural phenotypes observed on AOSLO retinal images.

19 nes from information in two-dimensional (2D) retinal images.

20 orporating neuronal adaptation to stabilized retinal images.

21 fluctuations, noise, and discontinuities in retinal images.

22 t continued close monitoring with multimodal retinal imaging.

23 raphy (OCT) has become a standard-of-care in retinal imaging.

24 eral pigmented retinal lesions on wide-field retinal imaging.

25 ng wavelength of 1060 nm for high resolution retinal imaging.

26 isturbance of the central macula on detailed retinal imaging.

27 es underwent full ophthalmic examination and retinal imaging.

28 generation, or elevated cup-to-disc ratio on retinal imaging.

29 roductive health questionnaire and underwent retinal imaging.

30 hat allow recording of these changes, termed retinal imaging.

31 tially provide additional benefit to digital retinal imaging.

32 for precise targeting of areas for advanced retinal imaging.

33 els can be noninvasively measured in vivo by retinal imaging.

34 ctrophysiologic examinations, and multimodal retinal imaging.

35 axial scan (A-scan), was developed for mouse retinal imaging.

36 underwent full clinical assessment including retinal imaging.

37 udy addresses office or operating-room based retinal imaging.

38 and OCTA are gaining popularity in pediatric retinal imaging.

39 do our brains extract this information from retinal images?

40 tients with Stargardt disease and wide-field retinal imaging, 14 had peripheral pigmented retinal les

41 ven a training set of proximal stimuli (e.g. retinal images), a response noise model, and a cost func

42 high resolution cross-sectional and en face retinal image acquisition and display was performed in r

43 The PLR optimizes the optical quality of the retinal image across illumination conditions, increasing

44 Recent advances in retinal imaging allow visualization of structural abnorm

45 intelligence (AI) methods in high-resolution retinal imaging allows to identify, localize, and quanti

46 s paper concerns the validation of automatic retinal image analysis (ARIA) algorithms.

47 Deep learning in retinal image analysis achieves excellent accuracy for t

48 tic fundus photography followed by automated retinal image analysis with human supervision.

49 of analyzing the visual input of the entire retinal image and pinpointing the spatial location of an

50 tions despite large dynamic changes in their retinal images and a variety of visual presentation form

51 er exclusion of participants with ungradable retinal images and type 1 diabetes, 420 patients (mean [

52 Retinal imaging and clinical assessments were carried ou

53 mprehensive ophthalmic assessment, including retinal imaging and electrodiagnostic testing.

54 tailed clinical assessment, including serial retinal imaging and electrophysiologic evaluation, at Mo

55 able than AON, where a new array of tools in retinal imaging and electrophysiology has advanced our a

56 Digital retinal imaging and fluorescein angiography (FA) were pe

57 id patients with diabetes undergoing regular retinal imaging and for whom anaemia can increase morbid

58 sensitivity testing, and electroretinograms (retinal imaging and fundus photography were collected an

59 antiate previous observations with real-time retinal imaging and parallel reported vascular toxic eff

60 ngly used in laboratories for in vivo animal retinal imaging and pre-clinical studies.

61 Retinal integrity was also assessed with retinal imaging and upon the end of the study by light a

62 ave included both stabilized and unstablized retinal images, and report the maximum observable rate a

63 nopathy, pedigree analysis, genetic testing, retinal imaging, and anatomic outcomes after treatment.

64 Using retinal imaging, and electrophysiologic and biochemical

65 s, visual acuity, visual field measurements, retinal imaging, and electrophysiologic features were ex

66 om clinical ophthalmic examination, advanced retinal imaging, and electrophysiology consistent with a

67 e important during cortical development when retinal images are blurred by immature optics in infant

68 "Floor effects" in retinal imaging are defined as the points at which no fu

69 he critical exposure for accurately encoding retinal images as biological signals at the level of the

70 lar abnormality and evaluated the utility of retinal imaging as a tool for schizophrenia research.

71 These findings highlight the promise of retinal imaging as a tool for understanding the pathogen

72 oaneurysm (H/Ma) using ultrawide field (UWF) retinal imaging as compared with standard Early Treatmen

73 underwent an oral glucose tolerance test and retinal imaging at 26-28 weeks gestation (n = 542).

74 amination, electrophysiological testing, and retinal imaging at a genetic eye disease clinic of a ter

75 Study members underwent retinal imaging at age 38.

76 Structural retinal imaging biomarkers are important for early recog

77 At age 46, MM regained his retinal image, but his visual abilities, even seven year

78 and spatial extent of visual elements in the retinal image, but it is unclear whether this organizati

79 examinations by indirect ophthalmoscopy and retinal imaging by handheld SD OCT, without sedation, at

80 In vivo retinal imaging by means of optical coherence tomography

81 Retinal imaging by nonphysicians with remote image inter

82 ectroretinography, color vision testing, and retinal imaging by OCT, pseudocolor, and autofluorescenc

83 pathways adapt to changes in contrast of the retinal image caused by external motion or self-generate

84 ee objects as having continuity although the retinal image changes frequently.

85 Whenever the retinal image changes, some neurons in visual cortex inc

86 Case notes and retinal imaging (color fundus photography [CFP], spectra

87 Review of case notes, retinal imaging (color fundus photography, fundus autofl

88 Using retinal imaging combined with behavioral measurements, w

89 The use of a nonmydriatic camera for retinal imaging combined with the remote evaluation of i

90 vements add global patterns of motion to the retinal image, complicating visual motion produced by se

91 oth proportionately, so they do not increase retinal image contrast or decrease disability glare.

92 nctional vision requires more than improving retinal image contrast.

93 y suggests that visual electrophysiology and retinal imaging could be useful biomarkers to assess the

94 hophysical testing and volumetric multimodal retinal imaging data were acquired including mesopic, DA

95 Seven-year visual outcomes and retinal imaging data were compared with the ANCHOR, MARI

96 Best-corrected visual acuity (BCVA) data, retinal imaging data, and clinical data were accessed fr

97 We used a retrospective retinal image dataset of 86 pediatric patients with clin

98 A multispectral retinal imaging device obtained precise measurements of

99 ans can discern object motion from identical retinal image displacements induced by eye movements, bu

100 ns wearers are caused by poor quality of the retinal image due to TBU.

101 Serial ophthalmological examination and retinal imaging during 4.6+/-1.9 (mean +/- standard devi

102 dly several times per second, displacing the retinal image each time.

103 ics, ophthalmologic examination results, and retinal imaging findings.

104 DR was assessed using two-field 45-degree retinal images for each eye.

105 here has been growing interest in the use of retinal imaging for tracking disease progression in mult

106 Retinal images from 20 258 consecutive patients attendin

107 d while independently reviewing 7 wide-angle retinal images from infants with retinopathy of prematur

108 -generated mosaic photographs) of wide-angle retinal images from infants with ROP.

109 ity of California Davis were used to acquire retinal images from patients with optic neuropathy: (1)

110 Digital retinal images (from August 2002 to January 2004) from 6

111 We conducted multimodal retinal imaging, full-field electroretinography, and mol

112 Clinical evaluation, multimodal retinal imaging, genetic testing, and molecular modeling

113 repancies in findings of ROP between digital retinal image grading and examination results from the T

114 To determine the symmetry on retinal image grading of fellow eyes for retinopathy of

115 ative visits, and annually thereafter, using retinal image grading.

116 nsional (3D) world from two-dimensional (2D) retinal images has received a great deal of interest as

117 Molecular diagnosis and improvements in retinal imaging have greatly improved the accuracy of di

118 As such, advances in retinal imaging have proven fundamental to many paradigm

119 eds to identify matching features in the two retinal images (i.e., solving the "stereoscopic correspo

120 e studied the cortical representation of the retinal image in mice that spontaneously switched betwee

121 the microscopic eye movements that keep the retinal image in motion during visual fixation.

122 High-resolution retinal images in CHM carriers and affected males demons

123 Infants underwent serial digital retinal imaging in both eyes starting at 32 weeks' postm

124 High-resolution retinal imaging in combination with scotopic fundus-cont

125 increased, especially with the shift toward retinal imaging in infants at risk of ROP.

126 etinal imaging, which emphasizes the role of retinal imaging in patients with diabetes mellitus type

127 e lifetime imaging ophthalmoscopy (FLIO) for retinal imaging in patients with MacTel.

128 Retinal imaging included OCT, blue-light autofluorescenc

129 Clinical course and multimodal retinal imaging including color photographs, spectral-do

130 Multimodal retinal imaging including en face OCT segmentation of th

131 Review of clinical notes, retinal imaging including fundus autofluorescence and OC

132 Patients underwent ophthalmic assessment and retinal imaging including fundus photography, optical co

133 visual acuity (BCVA) testing and multimodal retinal imaging, including fundus photography and optica

134 viewed the medical records and all available retinal imaging, including Humphrey visual field testing

135 emia patients (79 eyes) underwent multimodal retinal imaging, including near-infrared fundus autofluo

136 t of best-corrected visual acuity (BCVA) and retinal imaging, including spectral-domain OCT (SD-OCT),

137 Clinical examination and comprehensive retinal imaging, including spectral-domain optical coher

138 Multimodal retinal imaging, including structural optical coherence

139 Noninvasive multimodal retinal imaging, including ultra-widefield fundus photog

140 RFI, a noninvasive retinal imaging instrument, revealed vessel loops, verti

141 An international panel with expertise in retinal imaging (International Nomenclature for Optical

142 cal signal that can be used to unite jumping retinal images into a consistent visual scene.

143 e of the visual system is to combine the two retinal images into a single representation of the visua

144 ternal saccade vector used to unite separate retinal images into a stable visual scene.

145 Diabetic retinopathy was graded from 2-field retinal images into categories of no DR (Early Treatment

146 e move our gaze through a complex scene, the retinal image is constantly shifted and overwritten.

147 Sensory information in the retinal image is typically too ambiguous to support visu

148 rate 3D representations of the world from 2D retinal images is a fundamental task for the visual syst

149 retinopathy (DR) by expert human grading of retinal images is challenging.

150 Manual grading of lesions in retinal images is relevant to clinical management and cl

151 High-quality retinal imaging is feasible with an MMOCT system.

152 Reported retinal imaging is lacking, and whether the condition is

153 d area on the retina that can be assessed by retinal imaging is required for unhindered reading in pa

154 High-resolution retinal imaging is revolutionizing how scientists and cl

155 re causal to the light reaching the eye, the retinal image, its neural representation, or how the ima

156 We investigated the effect of retinal-image jitter on word recognition speed and facia

157 ptoelectronic approaches were used to induce retinal-image jitter with duration of 100 or 166 ms and

158 Results suggest that retinal-image jitter with optimal frequency and amplitud

159 Together, the advances in retinal imaging mark an important milestone that shifts

160 mic landmarks that is applicable to multiple retinal imaging methods has been proposed by the Interna

161 Our pilot provided proof-of-concept that retinal imaging might be useful for detecting coronary a

162 come measure was the relative utilization of retinal imaging modalities.

163 through space produces one global pattern of retinal image motion (optic flow), rotation another.

164 Two-muscle T&R reduces horizontal retinal image motion and can improve visual acuity in ac

165 The resulting retinal image motion counterbalances the spectral distri

166 y during ocular drift, the primary source of retinal image motion during fixation on a stationary sce

167 uggests that reduced acuity is the result of retinal image motion from nystagmus.

168 known that visual percepts tend to fade when retinal image motion is eliminated in the laboratory.

169 ion relative to head motion nor the phase of retinal image motion relative to eye movement could cons

170 y to previous theories, neither the phase of retinal image motion relative to head motion nor the pha

171 this ambiguity can be resolved by combining retinal image motion with signals regarding eye movement

172 han the point of fixation requires combining retinal image motion with signals related to eye rotatio

173 he macaque middle temporal (MT) area combine retinal image motion with smooth eye movement command si

174 ture for the arterioles was calculated using Retinal Image multi-Scale Analysis (RISA) software.

175 images were processed by the computer-based Retinal Image multiScale Analysis (RISA) system to calcu

176 h the corresponding FA images) of wide-angle retinal images obtained from 16 eyes of 8 infants with R

177 h as dendrites and axons, can be resolved in retinal images obtained from the living primate eye was

178 dy participants were examined, who underwent retinal imaging, ocular biometry assessment, and clinica

179 ular histories, ocular examination findings, retinal imaging, ocular disease course, and laboratory f

180 Digital retinal images of both dilated eyes were taken and evalu

181 urysms/hemorrhages were evaluated on digital retinal images of both eyes.

182 study comprising 189 Optic Disc (OD) centred retinal images of healthy and diabetic individuals aged

183 ddition, point spread function and simulated retinal images of ICLs were calculated from the wavefron

184 We obtained retinal images of one eye of 45 healthy participants.

185 stance between corresponding features in the retinal images of the two eyes smaller than the "upper d

186 This study used longitudinal retinal imaging of mice expressing cyan fluorescent prot

187 mography (SD-OCT) for three-dimensional (3D) retinal imaging of small animals and quantitative retina

188 words, primates keep the central part of the retinal image on the fovea (where photoreceptor density

189 Fifteen de-identified, wide-angle retinal image pairs were taken from infants who eventual

190 ding full ophthalmic examination, multimodal retinal imaging, perimetry, and electrophysiology.

191 utations were studied by ocular examination, retinal imaging, perimetry, full-field sensitivity testi

192 l coordinates, by combining eye position and retinal image position in each eye and representing disp

193 Here, the authors used a novel ex vivo retinal imaging preparation to examine the behavioral ph

194 s in a feedback manner through shifts in the retinal image produced by the primary response.

195 cognize objects and faces across a myriad of retinal images produced by each object.

196 Retinal imaging provides objective documentation of vasc

197 ut little is known about their impact on the retinal image quality (IQ) of these eyes.

198 ic profiles resulted in significantly better retinal image quality and higher decentration tolerance

199 dation interact with pupil size to influence retinal image quality and possibly eye growth.

200 Optical metrics of tear quality and retinal image quality are associated with the decline in

201 is of growing interest as degradation of the retinal image quality in the periphery is known to affec

202 at eye's aberrations, direct measurements of retinal image quality reveal some blur beyond that expec

203 meter, ablation decentration, and defocus on retinal image quality was measured by using the optical

204 tion in KC eyes was substantial and degraded retinal image quality.

205 the brain extracts depth from two different retinal images represents a tractable challenge in senso

206 al experience with an asymmetrically blurred retinal image, resulting in improved visual performance.

207 Wide-angle retinal images (RetCam; Clarity Medical Systems, Pleasan

208 tion occurs from a representation of the two retinal images (retinotopy) to a representation of a sin

209 In vivo retinal imaging revealed infiltration of CCR2(+) leukocy

210 Retinal imaging revealed the accumulation of GFP-tagged

211 Wide-field retinal imaging revealed the presence of peripheral pigm

212 Infants underwent serial retinal imaging sessions in both eyes by certified image

213 ch eye independently for ROP features in a 5 retinal-image set from each session.

214 ysician trained readers evaluated wide-field retinal image sets for characteristics of ROP, pre-plus/

215 The validity of grading retinal image sets was based on the sensitivity and spec

216 ercept, enabling the brain to anticipate the retinal image shifts by remapping the neural image.

217 al stability, the brain must distinguish the retinal image shifts caused by eye movements and shifts

218 Adaptive optics retinal imaging showed no thickening of the arteriolar v

219 ffects of axial length-induced variations in retinal image size (RIS) on the measurement of RA, refra

220 the integration of viewing distance cues and retinal image size takes at least 150 ms to unfold, whic

221 ariant percept of object size by integrating retinal image size with viewing distance (size constancy

222 eptual estimates of object size co-vary with retinal-image size rather than real-world size as viewin

223 [27-30] and is refractory to the decrease in retinal-image size with increased viewing distance [31-4

224 The accessory optic system (AOS) detects retinal image slip and reports it to the oculomotor syst

225 vity in slow fixational eye movements; i.e., retinal image slip caused by physiological drift.

226 In addition to the well-known signals of retinal image slip, floccular complex spikes (CSs) also

227 We characterized retinal-image slip in monkeys immediately after microsac

228 apsulated cells was monitored by noninvasive retinal imaging (Spectralis HRA+OCT).

229 ugate left-right eye rotations for effective retinal image stabilization.

230 proposed physiological roles of ON-DSGCs in retinal-image stabilization and of ONOFF-DSGCs in detect

231 ll difference in position of features in the retinal images; stereopsis is the percept of depth from

232 Retinal imaging studies of mice overexpressing fused alp

233 ents with FRMD7 mutations underwent detailed retinal imaging studies using ultrahigh-resolution optic

234 single update visit, clinical assessment and retinal imaging studies were performed, with comparison

235 e has been greatly helped by improvements in retinal imaging such as spectral domain optical coherenc

236 nalysis of the effects of astigmatism on the retinal image suggests that this "logical" refutation of

237 iatic fundus photography via the Intelligent Retinal Imaging System (IRIS) from June 2013 to April 20

238 Based on the results, iNview retinal imaging system has the largest field of view and

239 A swept-source OCT retinal imaging system operating at a speed of 249,000 a

240 To develop a retinal imaging system suitable for routine examination

241 custom-built, high-speed Fourier-domain OCT retinal imaging system was used to image retinas of two

242 we investigate the smartphone-based portable retinal imaging systems available on the market and comp

243 gning small-sized, low-power, and affordable retinal imaging systems to perform DR screening and auto

244 n by trained nonphysician readers of digital retinal images taken by trained nonphysician imagers fro

245 nonexpert graders each evaluated 182 mosaic retinal images taken from the eyes of patients with AIDS

246 stalline bodies not identifiable using other retinal imaging techniques.

247 Advantages and disadvantages of current retinal imaging technologies and recommendations for the

248 ide an overview of current, state-of-the-art retinal imaging technologies, as well as highlight many

249 As with most retinal imaging technologies, ocular magnification chara

250 ported diabetes, of whom 93% (1004/1076) had retinal images that were gradable for DR.

251 requent and substantial displacements of the retinal image, these displacements go unnoticed.

252 osed more than a century ago, to improve the retinal image through optical mechanisms.

253 hy of the visual system allows two disparate retinal images to combine to form a single picture with

254 support further investigation of the use of retinal imaging to diagnose AD and to monitor disease ac

255 Here, we used high-resolution retinal imaging to examine the cone mosaic in two indivi

256 mines exciting recent advances using in vivo retinal imaging to understand the function of retinal ne

257 f distances from disparities between the two retinal images, to trigger a raptorial strike of their f

258 Recent advances in retinal imaging tools have aided in diagnosing even subt

259 ertified to detect ROP morphology in digital retinal images under supervision of an ophthalmologist r

260 spatial-domain optical coherence tomography retinal imaging unit.

261 Equivalent (CRVE) were extracted from these retinal images using Retinal Image Vasculature Assessmen

262 presence and severity of DR were graded from retinal images using the modified Airlie House Classific

263 e recently been supplanted by the results of retinal imaging using Optical Coherence Tomography (OCT)

264 Retinal imaging using optical coherence tomography in ra

265 en achieved recently through high-resolution retinal imaging using optical coherence tomography.

266 shapes of rigid objects as constant despite retinal-image variations caused by changes in orientatio

267 re extracted from these retinal images using Retinal Image Vasculature Assessment software (RIVAS) an

268 To examine and review digital retinal imaging via telemedicine as an important screeni

269 Grayscale Fractal Dimension (FD) analysis of retinal images was performed on people with type 2 diabe

270 An international panel with expertise in retinal imaging was assembled to define consensus termin

271 Retinal imaging was obtained at the end of 1 year of gly

272 Multimodal retinal imaging was performed in 11 eyes with acute reti

273 Retinal imaging was performed in 16 brown norway rats (N

274 Retinal imaging was performed in the ophthalmic clinic i

275 cted to a structured interview, and detailed retinal imaging was performed: fundus autofluorescence i

276 Two-field retinal imaging was used to capture fundus images before

277 med to measure cardiac function indices, and retinal imaging was used to measure retinal vascular cal

278 r loss, based on analysis of adaptive optics retinal images, was valuable to monitor disease progress

279 To explore how the thalamus transforms the retinal image, we built a model of the retinothalamic ci

280 our experience of the world goes beyond the retinal image; we perceive the distal environment itself

281 Simultaneous reflectance and fluorescence retinal images were acquired using the fAOSLO.

282 High-resolution retinal images were acquired with OCT and adaptive optic

283 Retinal images were analyzed using a fully automated val

284 All retinal images were graded using a standardized validate

285 Thirty-four wide-angle retinal images were independently interpreted by 22 ROP

286 Retinal images were manually graded following a standard

287 The IR and Color retinal images were obtained from 16 volunteer participa

288 Retinal images were obtained from two brothers (13 and 1

289 High-resolution retinal images were obtained using a flood-illumination

290 Additional retinal images were obtained using spectral domain optic

291 and venular tortuosity, area, and width from retinal images were obtained.

292 reading center image collections, 30 digital retinal images were selected for optimum quality.

293 follow-up visits for up to 8 years after the retinal images were taken.

294 retrospective development data set of 128175 retinal images, which were graded 3 to 7 times for diabe

295 ophthalmoscopy (BIO) and obtained wide-angle retinal images, which were independently classified by 2

296 y 20% may have ocular findings identified on retinal imaging, which emphasizes the role of retinal im

297 ecently introduced to provide a high-quality retinal image with enhanced color fidelity.

298 ealthy patients (43 women, 47 men) underwent retinal imaging with spectral-domain OCT.

299 etailed directed history and high-resolution retinal imaging, with subsequent targeted microscopy/gen

300 cenes by equalizing the spatial power of the retinal image within the frequency range of ganglion cel