Emily Y. Chew

According to our database, Emily Y. Chew authored at least 28 papers between 2018 and 2023.

Collaborative distances:

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

2023

MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing.

Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha D. Dave, Tiarnan D. L. Keenan, Emily Y. Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen, Irene Li

CoRR, 2023

Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans.

Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu

Proceedings of the Medical Imaging 2023: Image Processing, 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, 2023

2022

Robust convolutional neural networks against adversarial attacks on medical images.

Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu

Pattern Recognit., 2022

Predicting myocardial infarction through retinal scans and minimal personal information.

Andres Diaz-Pinto, Nishant Ravikumar, Rahman Attar, Avan Suinesiaputra, Yitian Zhao, Eylem Levelt, Erica Dall' Armellina, Marco Lorenzi, Qingyu Chen, Tiarnan D. L. Keenan, Elvira Agrón, Emily Y. Chew, Zhiyong Lu, Chris P. Gale, Richard P. Gale, Sven Plein, Alejandro F. Frangi

Nat. Mach. Intell., 2022

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography.

Roy Schwartz, Hagar Khalid, Sandra Liakopoulos, Yanling Ouyang, Coen de Vente, Cristina González-Gonzalo, Aaron Y. Lee, Robyn H. Guymer, Emily Y. Chew, Catherine Egan, Zhichao Wu, Himeesh Kumar, Joseph Farrington, Clara I. Sánchez, Adnan Tufail

CoRR, 2022

Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.

Junghwan Lee, Tingyi Wanyan, Qingyu Chen, Tiarnan D. L. Keenan, Benjamin S. Glicksberg, Emily Y. Chew, Zhiyong Lu, Fei Wang, Yifan Peng

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 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, 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, 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, 2022

Deep Learning and Ensemble Method for Optic Disc and Cup Segmentation.

Jongwoo Kim, Loc Q. Tran, Tunde Peto, Emily Y. Chew

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations.

Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Amr S. Elsawy, Emily Y. Chew, Zhiyong Lu

Proceedings of the AMIA 2022, 2022

Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows.

Qingyu Chen, Tiarnan D. Keenan, Alexis Allot, Sanjeeb Bhandari, Geoff Broadhead, Chantal Cousineau-Krieger, Ellen Davis, William G. Gensheimer, David Grasic, Seema Gupta, Eleni Konstantinou, Tania Lamba, Michele Maiberger, Arnold Oshinsky, Brittany Powell, Boonkit Purt, Soo Shin, Hillary Steifel, Alisa T. Thavikulwat, Keith Wroblewski, Sirisha Koirala, Tom Murickan, Michael F. Chiang, Michelle R. Hribar, Emily Y. Chew, Zhiyong Lu

Proceedings of the AMIA 2022, 2022

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

Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.

Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Deep learning detection of reticular pseudodrusen using multi-modal, multi-task, and multi-attention mechanisms: towards automated and accessible classification of age-related macular degeneration.

Qingyu Chen, Tiarnan D. Keenan, Emily Y. Chew, Zhiyong Lu

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Predicting risk of late age-related macular degeneration using deep learning.

Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Alexis Allot, Wai T. Wong, Emily Y. Chew, Zhiyong Lu

npj Digit. Medicine, 2020

Deep-learning-based prediction of late age-related macular degeneration progression.

Qi Yan, Daniel E. Weeks, Hongyi Xin, Anand Swaroop, Emily Y. Chew, Heng Huang, Ying Ding, Wei Chen

Nat. Mach. Intell., 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

Detection of reticular pseudodrusen using deep learning.

Qingyu Chen, Tiarnan D. Keenan, Yifan Peng, Elvira Agrón, Christopher Hwang, Alisa T. Thavikulwat, Debora Lee, Wai T. Wong, Emily Y. Chew, Zhiyong Lu

Proceedings of the AMIA 2020, 2020

2019

A deep learning approach for automated detection of geographic atrophy from color fundus photographs.

Tiarnan D. Keenan, Shazia Dharssi, Yifan Peng, Qingyu Chen, Elvira Agrón, Wai T. Wong, Zhiyong Lu, Emily Y. Chew

CoRR, 2019

Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning.

Jongwoo Kim, Loc Q. Tran, Emily Y. Chew, Sameer K. Antani

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs.

Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu

Proceedings of the AMIA 2019, 2019

2018

A multi-task deep learning model for the classification of Age-related Macular Degeneration.

Qingyu Chen, Yifan Peng, Tiarnan D. Keenan, Shazia Dharssi, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu

CoRR, 2018

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs.

Yifan Peng, Shazia Dharssi, Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu

CoRR, 2018

Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information.

Jongwoo Kim, Sema Candemir, Emily Y. Chew, George R. Thoma

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018