What is she best known for?
The fields of study she is best known for:
- Optics
- Artificial intelligence
- Computer vision
Suzanne P. McKee mainly investigates Optics, Vernier acuity, Artificial intelligence, Contrast and Spatial frequency.
Suzanne P. McKee studies Optics, focusing on Stereoscopic acuity in particular.
The various areas that Suzanne P. McKee examines in her Vernier acuity study include Optometry, Hyperacuity, Binocular vision and Monocular.
Her work deals with themes such as Sensation, Computer vision and Pattern recognition, which intersect with Artificial intelligence.
Suzanne P. McKee has researched Contrast in several fields, including Relative velocity, Sinusoidal grating and Range.
Her Spatial frequency research incorporates themes from Surround suppression, Communication and Increment threshold.
Her most cited work include:
- Visual acuity in the presence of retinal-image motion* (389 citations)
- The pattern of visual deficits in amblyopia. (375 citations)
- Spatial configurations for visual hyperacuity (330 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Optics, Artificial intelligence, Computer vision, Stereopsis and Binocular vision.
Her studies deal with areas such as Psychophysics and Fixation as well as Optics.
Her Artificial intelligence research incorporates elements of Sensory threshold, Communication and Pattern recognition.
In the field of Computer vision, her study on Motion and Observer overlaps with subjects such as Stereo matching and Trajectory.
Her study in Binocular vision is interdisciplinary in nature, drawing from both Monocular, Anisometropia and Stereoscopy.
Her research investigates the connection with Hyperacuity and areas like Vernier acuity which intersect with concerns in Optometry.
She most often published in these fields:
- Optics (54.74%)
- Artificial intelligence (26.28%)
- Computer vision (21.90%)
What were the highlights of her more recent work (between 2008-2019)?
- Artificial intelligence (26.28%)
- Optics (54.74%)
- Computer vision (21.90%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Artificial intelligence, Optics, Computer vision, Neuroscience and Monocular.
Her Artificial intelligence research includes elements of Eeg mapping, Eccentricity and Pattern recognition.
Her work on Binocular vision, Visual acuity and Contrast as part of general Optics study is frequently linked to Materials science, bridging the gap between disciplines.
In her research, Spatial vision and Vernier acuity is intimately related to Refractive error, which falls under the overarching field of Binocular vision.
Her research in Computer vision focuses on subjects like Fixation, which are connected to Source imaging.
Her research integrates issues of Depth perception and Strabismic amblyopia in her study of Monocular.
Between 2008 and 2019, her most popular works were:
- Disparity-Tuned Population Responses from Human Visual Cortex (69 citations)
- Visual deficits in anisometropia. (59 citations)
- The precision of binocular and monocular depth judgments in natural settings (55 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Optics
- Computer vision
Her scientific interests lie mostly in Binocular vision, Strabismus, Anisometropia, Depth perception and Optics.
Her Strabismus research is multidisciplinary, incorporating elements of Optometry and Visual acuity.
Her Depth perception research is multidisciplinary, incorporating perspectives in Monocular, Computer vision, Artificial intelligence, Motion perception and Posterior parietal cortex.
Her Computer vision research is multidisciplinary, relying on both Visual cortex and Communication.
The Optics study combines topics in areas such as Surround suppression, Stimulus and Sensory threshold.
Her work in Stereoscopic acuity covers topics such as Contrast which are related to areas like Vernier acuity, Psychophysics and Electroencephalography.
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