Theodore Leng

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 14

Top Topics

Top Venues

Pattern Recognit.

Publications

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 (2024)
Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam
Quantitative Characterization of Retinal Features in Translated OCTA. CoRR (2024)
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) (2023)
Durga S. Borkar, Meghan Hatfield, Thaihien Nguyen, Richard Chapman, Theodore Leng, Michael Mbagwu, Matthew Roe, Shrujal Baxi, Aracelis Torres
Understanding Mechanisms of Missingness for Unspecified Diabetic Retinopathy Disease Severity in the Electronic Health Record: An IRIS® Registry Analysis. AMIA (2022)
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 (2022)
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 (2021)
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)
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)
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) (2020)
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) (2019)
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 (2019)
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)
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)
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) (2015)
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) (2013)