Catherine Cukras

According to our database, Catherine Cukras authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs.

Souvick Mukherjee, Cameron Duic, Tharindu De Silva, Tiarnan D. Keenan, Alisa T. Thavikulwat, Emily Y. Chew, Catherine Cukras

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging.

Tharindu De Silva, Kristina Heß, Cameron Duic, Souvick Mukherjee, Hector Sandoval, Jessica Aduwo, Tiarnan D. Keenan, Emily Y. Chew, Catherine Cukras

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Retinal layer segmentation for age-related macular degeneration patients with 3D-UNet.

Souvick Mukherjee, Tharindu De Silva, Gopal Jayakar, Peyton Grisso, Henry E. Wiley, Tiarnan D. Keenan, Alisa T. Thavikulwat, Emily Y. Chew, Catherine Cukras

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD.

Souvick Mukherjee, Tharindu De Silva, Gopal Jayakar, Peyton Grisso, Henry E. Wiley, Tiarnan D. Keenan, Alisa T. Thavikulwat, Emily Y. Chew, Catherine Cukras

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Hybrid transformer for lesion segmentation on adaptive optics retinal images.

Jianfei Liu, Joanne Li, Amday Wolde, Catherine Cukras, Johnny Tam

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Active Cell Appearance Model Induced Generative Adversarial Networks for Annotation-Efficient Cell Segmentation and Identification on Adaptive Optics Retinal Images.

Jianfei Liu, Christine Shen, Nancy Aguilera, Catherine Cukras, Robert B. Hufnagel, Wadih M. Zein, Tao Liu, Johnny Tam

IEEE Trans. Medical Imaging, 2021

Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.

Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu

J. Am. Medical Informatics Assoc., 2021

Automatic detection of ellipsoid zone loss due to Hydroxychloroquine retinal toxicity from SD-OCT imaging.

Tharindu S. De Silva, Gopal Jayakar, Peyton Grisso, Emily Y. Chew, Nathan Hotaling, Catherine A. Cukras

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration.

Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu

CoRR, 2020

Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degeneration.

Tharindu De Silva, Nathan Hotaling, Emily Y. Chew, Catherine Cukras

Proceedings of the Medical Imaging 2020: Image Processing, 2020