Theodore Leng

According to our database, Theodore Leng authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mirrored X-Net: Joint classification and contrastive learning for weakly supervised GA segmentation in SD-OCT.

Zexuan Ji, Xiao Ma, Theodore Leng, Daniel L. Rubin, Qiang Chen

Pattern Recognit., 2024

Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification.

Fatema-E. Jannat, Sina Gholami, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam, Hamed Tabkhi

CoRR, 2024

Quantitative Characterization of Retinal Features in Translated OCTA.

Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam

CoRR, 2024

2023

Identifying the mechanism of missingness for unspecified diabetic retinopathy disease severity in the electronic health record: an IRIS® Registry analysis.

Meghan Hatfield, Thai Hien Nguyen, Richard Chapman, Alayna C. Myrick, Theodore Leng, Michael Mbagwu, Shrujal Baxi, Aracelis Z. Torres, Durga S. Borkar

J. Am. Medical Informatics Assoc., 2023

2022

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models.

Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle A. Hallak, Theodore Leng, Daniel L. Rubin

CoRR, 2022

Understanding Mechanisms of Missingness for Unspecified Diabetic Retinopathy Disease Severity in the Electronic Health Record: An IRIS® Registry Analysis.

Durga S. Borkar, Meghan Hatfield, Thaihien Nguyen, Richard Chapman, Theodore Leng, Michael Mbagwu, Matthew Roe, Shrujal Baxi, Aracelis Z. Torres

Proceedings of the AMIA 2022, 2022

2021

An integrated time adaptive geographic atrophy prediction model for SD-OCT images.

Yuhan Zhang, Xiwei Zhang, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Songtao Yuan, Qiang Chen

Medical Image Anal., 2021

2020

MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images.

Xiao Ma, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Qiang Chen

IEEE J. Biomed. Health Informatics, 2020

A Platform for Regulatory-Grade Evidence Generation from Routine Electronic Health Record Data Capture.

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

Proceedings of the AMIA 2020, 2020

Data Quality Framework for Assessing Data from Electronic Health Record-Enabled Registries.

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

Proceedings of the AMIA 2020, 2020

2019

Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients.

Nicholas Dwork, Gennifer T. Smith, Theodore Leng, John M. Pauly, Audrey K. Bowden

IEEE Trans. Medical Imaging, 2019

A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers.

Imon Banerjee, Luis de Sisternes, Joelle A. Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel L. Rubin

CoRR, 2019

Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging.

Menglin Wu, Xinxin Cai, Qiang Chen, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Hyunjin Park

Comput. Methods Programs Biomed., 2019

A Multi-Scale Deep Convolutional Neural Network For Joint Segmentation And Prediction Of Geographic Atrophy In SD-OCT Images.

Yuhan Zhang, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Qiang Chen

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2015

Application of Improved Homogeneity Similarity-Based Denoising in Optical Coherence Tomography Retinal Images.

Qiang Chen, Luis de Sisternes, Theodore Leng, Daniel L. Rubin

J. Digit. Imaging, 2015

2013

Automated drusen segmentation and quantification in SD-OCT images.

Qiang Chen, Theodore Leng, Luoluo Zheng, Lauren Kutzscher, Jeffrey J. Ma, Luis de Sisternes, Daniel L. Rubin

Medical Image Anal., 2013