Emily Y. Chew

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Automatic Detection

Age Related Macular Degeneration

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. CoRR (2024)
Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu
Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. Medical Imaging: Image Processing (2023)
Souvick Mukherjee, Cameron Duic, Tharindu De Silva, Tiarnan D. Keenan, Alisa T. Thavikulwat, Emily Y. Chew, Catherine Cukras
Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs. Medical Imaging: Computer-Aided Diagnosis (2023)
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
MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. CoRR (2023)
Xiaoshuang Shi, Yifan Peng, Qingyu Chen, Tiarnan D. Keenan, Alisa T. Thavikulwat, Sungwon Lee, Yuxing Tang, Emily Y. Chew, Ronald M. Summers, Zhiyong Lu
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132 (2022)
Souvick Mukherjee, Tharindu De Silva, Gopal Jayakar, Peyton Grisso, Henry E. Wiley, Tiarnan D. Keenan, Alisa T. Thavikulwat, Emily Y. Chew, Catherine Cukras
Retinal layer segmentation for age-related macular degeneration patients with 3D-UNet. Medical Imaging: Computer-Aided Diagnosis (2022)
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
Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 4 (1) (2022)
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
Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows. AMIA (2022)
Souvick Mukherjee, Tharindu De Silva, Gopal Jayakar, Peyton Grisso, Henry E. Wiley, Tiarnan D. Keenan, Alisa T. Thavikulwat, Emily Y. Chew, Catherine Cukras
Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD. Medical Imaging: Computer-Aided Diagnosis (2022)
Tharindu De Silva, Kristina Heß, Cameron Duic, Souvick Mukherjee, Hector Sandoval, Jessica Aduwo, Tiarnan D. Keenan, Emily Y. Chew, Catherine Cukras
Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging. Medical Imaging: Computer-Aided Diagnosis (2022)
Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Amr S. Elsawy, Emily Y. Chew, Zhiyong Lu
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. AMIA (2022)
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
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography. CoRR (2022)
Junghwan Lee, Tingyi Wanyan, Qingyu Chen, Tiarnan D. L. Keenan, Benjamin S. Glicksberg, Emily Y. Chew, Zhiyong Lu, Fei Wang, Yifan Peng
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. MLMI@MICCAI (2022)
Jongwoo Kim, Loc Q. Tran, Tunde Peto, Emily Y. Chew
Deep Learning and Ensemble Method for Optic Disc and Cup Segmentation. CIBCB (2022)
Tharindu S. De Silva, Gopal Jayakar, Peyton Grisso, Emily Y. Chew, Nathan Hotaling, Catherine A. Cukras
Automatic detection of ellipsoid zone loss due to Hydroxychloroquine retinal toxicity from SD-OCT imaging. Medical Imaging: Computer-Aided Diagnosis (2021)
Gregory C. Ghahramani, Matthew Brendel, Mingquan Lin, Qingyu Chen, Tiarnan D. Keenan, Kun Chen, Emily Y. Chew, Zhiyong Lu, Yifan Peng, Fei Wang
Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. AMIA (2021)
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
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Qingyu Chen, Tiarnan D. Keenan, Emily Y. Chew, Zhiyong Lu
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. AMIA (2021)
Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Alexis Allot, Wai T. Wong, Emily Y. Chew, Zhiyong Lu
Predicting risk of late age-related macular degeneration using deep learning. CoRR (2020)
Tharindu De Silva, Nathan Hotaling, Emily Y. Chew, Catherine Cukras
Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degeneration. Medical Imaging: Image Processing (2020)
Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Alexis Allot, Wai T. Wong, Emily Y. Chew, Zhiyong Lu
Predicting risk of late age-related macular degeneration using deep learning. npj Digit. Medicine 3 (2020)
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
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration. CoRR (2020)
Qi Yan, Daniel E. Weeks, Hongyi Xin, Anand Swaroop, Emily Y. Chew, Heng Huang, Ying Ding, Wei Chen
Deep-learning-based prediction of late age-related macular degeneration progression. Nat. Mach. Intell. 2 (2) (2020)
Qingyu Chen, Tiarnan D. Keenan, Yifan Peng, Elvira Agrón, Christopher Hwang, Alisa T. Thavikulwat, Debora Lee, Wai T. Wong, Emily Y. Chew, Zhiyong Lu
Detection of reticular pseudodrusen using deep learning. AMIA (2020)
Tiarnan D. Keenan, Shazia Dharssi, Yifan Peng, Qingyu Chen, Elvira Agrón, Wai T. Wong, Zhiyong Lu, Emily Y. Chew
A deep learning approach for automated detection of geographic atrophy from color fundus photographs. CoRR (2019)
Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu
A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs. AMIA (2019)
Jongwoo Kim, Loc Q. Tran, Emily Y. Chew, Sameer K. Antani
Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning. CBMS (2019)
Yifan Peng, Shazia Dharssi, Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs. CoRR (2018)
Jongwoo Kim, Sema Candemir, Emily Y. Chew, George R. Thoma
Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information. CBMS (2018)
Qingyu Chen, Yifan Peng, Tiarnan D. Keenan, Shazia Dharssi, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu
A multi-task deep learning model for the classification of Age-related Macular Degeneration. CoRR (2018)