This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of British Columbia directory, so their courses may be missing. Find their university profile.
Research
Latest papers
The blur paradox: Better recognition at a distance.
Journal of vision · 2025 · senior author
Scanning faces: a deep learning approach to studying eye movements in prosopagnosia.
Frontiers in neurology · 2025
CNN-extracted features generate synthetic fMRI responses to unseen images.
Vision research · 2025 · senior author
Latest funding
- $100,000
Harnessing artificial intelligence (AI) to investigate sex and gender differences in diabetic retinopathy
CIHR · 2025 · Nominated PI
- $120,000
Robust visual recognition of high-level form in human observers
NSERC · 2019 · Principal investigator
- $282,000
Robust visual recognition of high-level form in human observers
NSERC · 2019 · Principal investigator
20 publications.
The blur paradox: Better recognition at a distance.
Long C, Yuan L, Wu C, Oruc I
Scanning faces: a deep learning approach to studying eye movements in prosopagnosia.
Kazemian A, Oruc I, Barton JJS
CNN-extracted features generate synthetic fMRI responses to unseen images.
Delavari P, Sigal L, Oruc I
AI-Assisted identification of sex-specific patterns in diabetic retinopathy using retinal fundus images.
Delavari P, Ozturan G, Navajas EV, Yilmaz O, Oruc I
Atypical daily visual exposure to faces in adults with autism spectrum disorder.
Kamensek T, Iarocci G, Oruc I
Are people with autism prosopagnosic?
Kamensek T, Susilo T, Iarocci G, Oruc I
Artificial intelligence, explainability, and the scientific method: A proof-of-concept study on novel retinal biomarker discovery.
Delavari P, Ozturan G, Yuan L, Yilmaz Ö, Oruc I
Learning from small data: Classifying sex from retinal images via deep learning.
Berk A, Ozturan G, Delavari P, Maberley D, Yılmaz Ö, Oruc I
Size Effects in the Recognition of Blurry Faces.
Mousavi SM, Oruc I
Face perception: A brief journey through recent discoveries and current directions.
Oruc I, Balas B, Landy MS
Harnessing artificial intelligence (AI) to investigate sex and gender differences in diabetic retinopathy
Principal investigators: Oruc, Ipek
Keywords: Artificial Intelligence; Convolutional Neural Networks; Explainable Ai; Ophthalmology; Retinal Biomarkers; Retinal Imaging; Sex And Gender Differences
Robust visual recognition of high-level form in human observers
Principal investigators: Oruc, Ipek
Robust visual recognition of high-level form in human observers
Principal investigators: Oruc, Ipek
Keywords: contrast threshold; efficiency and equivalent input noise; face perception; ideal observer modeling; noise masking; object recognition; psychophysics; spatial frequency; visual blur; visual perception
Designing a novel interactive virtual-reality platform: multimodal natural user interface targeting emotion
Principal investigators: Oruc, Ipek
Neural representations underlying visual perception of objects and faces
Principal investigators: Oruc, Ipek
Face expression and identity processing in the occipitotemporal cortex
Principal investigators: Barton, Jason J
Keywords: Face Expression; Face Recognition; Fmri; Psychophysics; Stroke
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Ipek Oruc and Grace Iarocci: 2 shared papers
- Ipek Oruc and Alan Kingstone: 1 shared paper
- Ipek Oruc and Todd Handy: 1 shared paper
- Ipek Oruc and Leonid Sigal: 1 shared paper
- Ipek Oruc and Ozgur Yilmaz: 1 shared paper
- Ophthalmology
- Computer Science at UBC
- Department of Mathematics
- Other
Co-authors at University of British Columbia, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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