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Tiarnan D. Keenan
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2020 – today
- 2024
- [i8]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) - [i7]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
- [c11]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 - [i6]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 abs/2311.16588 (2023) - 2022
- [j4]Andres Diaz-Pinto
Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 4(1): 55-61 (2022) - [j3]Xiaoshuang Shi
Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognit. 132: 108923 (2022) - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [c6]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 - [c5]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 - 2021
- [j2]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) - [c4]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 - [c3]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 - 2020
- [j1]Yifan Peng
Predicting risk of late age-related macular degeneration using deep learning. npj Digit. Medicine 3 (2020) - [c2]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 - [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
- [c1]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 - [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
- [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)
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