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Theodore Leng
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Journal Articles
- 2024
- [j8]Zexuan Ji
, Xiao Ma, Theodore Leng, Daniel L. Rubin, Qiang Chen:
Mirrored X-Net: Joint classification and contrastive learning for weakly supervised GA segmentation in SD-OCT. Pattern Recognit. 153: 110507 (2024) - 2023
- [j7]Meghan Hatfield, Thai Hien Nguyen, Richard Chapman, Alayna C. Myrick, Theodore Leng
, Michael Mbagwu, Shrujal Baxi, Aracelis Z. Torres
, Durga S. Borkar:
Identifying the mechanism of missingness for unspecified diabetic retinopathy disease severity in the electronic health record: an IRIS® Registry analysis. J. Am. Medical Informatics Assoc. 30(6): 1199-1204 (2023) - 2021
- [j6]Yuhan Zhang, Xiwei Zhang, Zexuan Ji, Sijie Niu, Theodore Leng
, Daniel L. Rubin, Songtao Yuan, Qiang Chen
:
An integrated time adaptive geographic atrophy prediction model for SD-OCT images. Medical Image Anal. 68: 101893 (2021) - 2020
- [j5]Xiao Ma
, Zexuan Ji
, Sijie Niu, Theodore Leng
, Daniel L. Rubin
, Qiang Chen
:
MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images. IEEE J. Biomed. Health Informatics 24(12): 3443-3455 (2020) - 2019
- [j4]Menglin Wu, Xinxin Cai, Qiang Chen, Zexuan Ji, Sijie Niu, Theodore Leng
, Daniel L. Rubin, Hyunjin Park
:
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging. Comput. Methods Programs Biomed. 182 (2019) - [j3]Nicholas Dwork
, Gennifer T. Smith, Theodore Leng
, John M. Pauly
, Audrey K. Bowden
:
Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients. IEEE Trans. Medical Imaging 38(1): 261-268 (2019) - 2015
- [j2]Qiang Chen, Luis de Sisternes, Theodore Leng
, Daniel L. Rubin:
Application of Improved Homogeneity Similarity-Based Denoising in Optical Coherence Tomography Retinal Images. J. Digit. Imaging 28(3): 346-361 (2015) - 2013
- [j1]Qiang Chen, Theodore Leng
, Luoluo Zheng, Lauren Kutzscher, Jeffrey J. Ma, Luis de Sisternes, Daniel L. Rubin:
Automated drusen segmentation and quantification in SD-OCT images. Medical Image Anal. 17(8): 1058-1072 (2013)
Conference and Workshop Papers
- 2022
- [c4]Durga S. Borkar, Meghan Hatfield, Thaihien Nguyen, Richard Chapman, Theodore Leng, Michael Mbagwu, Matthew Roe, Shrujal Baxi, Aracelis Z. Torres:
Understanding Mechanisms of Missingness for Unspecified Diabetic Retinopathy Disease Severity in the Electronic Health Record: An IRIS® Registry Analysis. AMIA 2022 - 2020
- [c3]Amanda L. Lien, Rishabh Jain, Claire Margolis, Sam Haaf, Alex Koshta, Solmaz Bagherpour, Srikanth Kaja, David Budd, Andrew LaPrise, Kevin Wood, Theodore Leng, Matthew Roe, Chhaya Shadra:
Data Quality Framework for Assessing Data from Electronic Health Record-Enabled Registries. AMIA 2020 - [c2]Claire A. Margolis, Chhaya Shadra, Alex Koshta, Cuau Leyva, Neha Seth, Solmaz Bagherpour, Rakesh Puthalath, Helene Fevrier, Amanda Lien, Rishabh Jain, Hariesh Rajasekar, Theodore Leng, Matthew Roe:
A Platform for Regulatory-Grade Evidence Generation from Routine Electronic Health Record Data Capture. AMIA 2020 - 2019
- [c1]Yuhan Zhang, Zexuan Ji, Sijie Niu, Theodore Leng
, Daniel L. Rubin, Qiang Chen:
A Multi-Scale Deep Convolutional Neural Network For Joint Segmentation And Prediction Of Geographic Atrophy In SD-OCT Images. ISBI 2019: 565-568
Informal and Other Publications
- 2024
- [i3]Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam:
Quantitative Characterization of Retinal Features in Translated OCTA. CoRR abs/2404.16133 (2024) - 2022
- [i2]Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle A. Hallak, Theodore Leng, Daniel L. Rubin:
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. CoRR abs/2208.11563 (2022) - 2019
- [i1]Imon Banerjee, Luis de Sisternes, Joelle A. Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel L. Rubin:
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers. CoRR abs/1902.10700 (2019)
Coauthor Index
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