Dr. Jennifer I. Lim Profile

Dr. Jennifer I. Lim

at Univ of Illinois at Chicago

SPIE Involvement:

Author

Publications (8)

Proceedings Article | 15 March 2023 Poster + Paper

Multi-fusion strategies for deep learning artery and vein segmentation in OCT angiography

Mansour Abtahi, David Le, Jennifer Lim, Xincheng Yao

Proceedings Volume 12360, 123600S (2023) https://doi.org/10.1117/12.2646724

KEYWORDS: Image segmentation, Optical coherence tomography, Veins, Arteries, Deep learning, Retinal diseases, Convolutional neural networks, Artificial intelligence, Machine learning, Retina

Read Abstract +

Proceedings Article | 4 March 2022 Poster + Paper

Comparative feature analysis in OCT and OCT angiography of diabetic retinopathy

David Le, Taeyoon Son, Jennifer Lim, Xincheng Yao

Proceedings Volume 11941, 119410J (2022) https://doi.org/10.1117/12.2609839

KEYWORDS: Optical coherence tomography, Retina, Statistical analysis, Image segmentation, Angiography, Visualization, Blood vessels, Analytical research, Reflectivity, Imaging systems

Read Abstract +

Proceedings Article | 5 March 2021 Presentation + Paper

Deep learning artery-vein classification in OCT angiography

David Le, Minhaj Alam, Taeyoon Son, Jennifer Lim, Xincheng Yao

Proceedings Volume 11623, 116231B (2021) https://doi.org/10.1117/12.2577304

KEYWORDS: Optical coherence tomography, Angiography, Veins, Arteries, RGB color model, Network architectures, Near infrared, Image segmentation, Eye, Control systems

Read Abstract +

Proceedings Article | 5 March 2021 Poster + Presentation

Quantitative OCT features of outer retina for early diagnosis and objective classification of diabetic retinopathy

Taeyoon Son, David Le, Jennifer Lim, Xincheng Yao

Proceedings Volume 11623, 116231P (2021) https://doi.org/10.1117/12.2577255

KEYWORDS: Optical coherence tomography, Retina, Pathogens, Optical properties, Injuries, Image segmentation, Image classification

Read Abstract +

Proceedings Article | 19 February 2020 Paper

Deep learning for objective OCTA detection of diabetic retinopathy

David Le, Minhaj Nur Alam, Jennifer Lim, R. V. P. Chan, Xincheng Yao

Proceedings Volume 11218, 112181P (2020) https://doi.org/10.1117/12.2546586

KEYWORDS: Machine learning, Non-invasive medical diagnostics, Medical imaging, Optical coherence tomography, Image classification, Ophthalmology, Convolutional neural networks, Angiography

Read Abstract +

Proceedings Article | 19 February 2020 Paper

Quantitative analysis of vascular complexity in OCTA of diabetic retinopathy

Minhaj Nur Alam, David Le, Jennifer Lim, Xincheng Yao

Proceedings Volume 11218, 1121824 (2020) https://doi.org/10.1117/12.2546538

KEYWORDS: Statistical analysis, Retina, Image segmentation, Optical coherence tomography, Quantitative analysis, Capillaries, Angiography, Ophthalmology, Fractal analysis, Blood vessels

Read Abstract +

Proceedings Article | 28 February 2019 Presentation + Paper

Quantitative artery-vein analysis in optical coherence tomography angiography of diabetic retinopathy

Minhaj Nur Alam, Taeyoon Son, Devrim Toslak, Jennifer Lim, Xincheng Yao

Proceedings Volume 10858, 1085802 (2019) https://doi.org/10.1117/12.2510213

KEYWORDS: Arteries, Veins, Blood vessels, Optical coherence tomography, Angiography, Detection and tracking algorithms, Image segmentation, Eye, Image classification, Image registration

Read Abstract +

Proceedings Article | 19 February 2018 Paper

Automated classification and quantitative analysis of arterial and venous vessels in fundus images

Minhaj Alam, Taeyoon Son, Devrim Toslak, Jennifer Lim, Xincheng Yao

Proceedings Volume 10474, 1047426 (2018) https://doi.org/10.1117/12.2290121

KEYWORDS: Arteries, Veins, Blood vessels, Detection and tracking algorithms, Image classification, Optical discs, Quantitative analysis, Image segmentation

Read Abstract +

Showing 5 of 8 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years