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Emily Y. Chew
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2020 – today
- 2024
- [j7]Gregory Holste
, Mingquan Lin
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [j6]Gregory Holste
Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. npj Digit. Medicine 7(1) (2024) - [i10]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 abs/2405.08780 (2024) - [i9]Aidan Gilson, Xuguang Ai, Thilaka Arunachalam, Ziyou Chen, Ki Xiong Cheong, Amisha D. Dave, Cameron Duic, Mercy Kibe, Annette Kaminaka, Minali Prasad, Fares Siddig, Maxwell B. Singer, Wendy Wong, Qiao Jin, Tiarnan D. L. Keenan, Xia Hu, Emily Y. Chew, Zhiyong Lu, Hua Xu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen:
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology. CoRR abs/2409.13902 (2024) - [i8]Qingyu Chen, Tiarnan D. L. Keenan, Elvira Agrón, Alexis Allot, Emily Guan, Bryant Duong, Amr S. Elsawy, Benjamin Hou, Cancan Xue, Sanjeeb Bhandari, Geoff Broadhead, Chantal Cousineau-Krieger, Ellen Davis, William G. Gensheimer, David Grasic, Seema Gupta, Luis Haddock, Eleni Konstantinou, Tania Lamba, Michele Maiberger, Dimosthenis Mantopoulos, Mitul C. Mehta, Ayman G. Nahri, Mutaz AL-Nawaflh, Arnold Oshinsky, Brittany E. Powell, Boonkit Purt, Soo Shin, Hillary Stiefel, Alisa T. Thavikulwat, Keith Wroblewski, Tham Yih Chung, Chui Ming Gemmy Cheung, Ching-Yu Cheng, Emily Y. Chew, Michelle R. Hribar, Michael F. Chiang, Zhiyong Lu:
Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. CoRR abs/2409.15087 (2024) - 2023
- [c17]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. Computer-Aided Diagnosis 2023 - [c16]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. Image Processing 2023 - [i7]Rui Yang
MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. CoRR abs/2311.16588 (2023) - 2022
- [j5]Andres Diaz-Pinto
Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 4(1): 55-61 (2022) - [j4]Xiaoshuang Shi
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132: 108923 (2022) - [c15]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 E. 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 - [c14]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 - [c13]Jongwoo Kim, Loc Q. Tran, Tunde Peto, Emily Y. Chew:
Deep Learning and Ensemble Method for Optic Disc and Cup Segmentation. CIBCB 2022: 1-8 - [c12]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. Computer-Aided Diagnosis 2022 - [c11]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. Computer-Aided Diagnosis 2022 - [c10]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. Computer-Aided Diagnosis 2022 - [c9]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: 11-20 - [i6]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
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography. CoRR abs/2204.02406 (2022) - 2021
- [j3]Qingyu Chen
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): 1135-1148 (2021) - [c8]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 - [c7]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 - [c6]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. Computer-Aided Diagnosis 2021 - 2020
- [j2]Qi Yan
Deep-learning-based prediction of late age-related macular degeneration progression. Nat. Mach. Intell. 2(2): 141-150 (2020) - [j1]Yifan Peng
Predicting risk of late age-related macular degeneration using deep learning. npj Digit. Medicine 3 (2020) - [c5]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 - [c4]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. Image Processing 2020: 113132Z - [i5]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 abs/2007.09550 (2020) - [i4]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 abs/2011.05142 (2020)
2010 – 2019
- 2019
- [c3]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 - [c2]Jongwoo Kim, Loc Q. Tran, Emily Y. Chew, Sameer K. Antani:
Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning. CBMS 2019: 489-494 - [i3]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 abs/1906.03153 (2019) - 2018
- [c1]Jongwoo Kim, Sema Candemir
Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information. CBMS 2018: 357-362 - [i2]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 abs/1811.07492 (2018) - [i1]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 abs/1812.00422 (2018)
Coauthor Index
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last updated on 2024-11-28 20:30 CET by the dblp team
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