Theodore Leng

16 papers Misc 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Mirrored X-Net: Joint classification and contrastive learning for weakly supervised GA segmentation in SD-OCT.
Pattern Recognit.
Zexuan Ji, Xiao Ma, Theodore Leng, Daniel L. Rubin, Qiang Chen
2024 J jnl
Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification.
CoRR
Fatema-E. Jannat, Sina Gholami, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam, Hamed Tabkhi
2024 J jnl
Quantitative Characterization of Retinal Features in Translated OCTA.
CoRR
Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam
2023 J jnl
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.
Meghan Hatfield, Thai Hien Nguyen, Richard Chapman, Alayna C. Myrick, Theodore Leng, Michael Mbagwu, Shrujal Baxi, Aracelis Z. Torres, Durga S. Borkar
2022 J jnl
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models.
CoRR
Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas S. Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle A. Hallak, Theodore Leng, Daniel L. Rubin
2022 Misc conf
Understanding Mechanisms of Missingness for Unspecified Diabetic Retinopathy Disease Severity in the Electronic Health Record: An IRIS® Registry Analysis.
AMIA
Durga S. Borkar, Meghan Hatfield, Thaihien Nguyen, Richard Chapman, Theodore Leng, Michael Mbagwu, Matthew Roe, Shrujal Baxi, Aracelis Z. Torres
2021 J jnl
An integrated time adaptive geographic atrophy prediction model for SD-OCT images.
Medical Image Anal.
Yuhan Zhang, Xiwei Zhang, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Songtao Yuan, Qiang Chen
2020 Misc conf
A Platform for Regulatory-Grade Evidence Generation from Routine Electronic Health Record Data Capture.
AMIA
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
2020 Misc conf
Data Quality Framework for Assessing Data from Electronic Health Record-Enabled Registries.
AMIA
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
2020 J jnl
MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images.
IEEE J. Biomed. Health Informatics
Xiao Ma, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Qiang Chen
2019 J jnl
A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers.
CoRR
Imon Banerjee, Luis de Sisternes, Joelle A. Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel L. Rubin
2019 — conf
A Multi-Scale Deep Convolutional Neural Network For Joint Segmentation And Prediction Of Geographic Atrophy In SD-OCT Images.
ISBI
Yuhan Zhang, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Qiang Chen
2019 J jnl
Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients.
IEEE Trans. Medical Imaging
Nicholas Dwork, Gennifer T. Smith, Theodore Leng, John M. Pauly, Audrey K. Bowden
2019 J jnl
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging.
Comput. Methods Programs Biomed.
Menglin Wu, Xinxin Cai, Qiang Chen, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Hyunjin Park
2015 J jnl
Application of Improved Homogeneity Similarity-Based Denoising in Optical Coherence Tomography Retinal Images.
J. Digit. Imaging
Qiang Chen, Luis de Sisternes, Theodore Leng, Daniel L. Rubin
2013 J jnl
Automated drusen segmentation and quantification in SD-OCT images.
Medical Image Anal.
Qiang Chen, Theodore Leng, Luoluo Zheng, Lauren Kutzscher, Jeffrey J. Ma, Luis de Sisternes, Daniel L. Rubin