Software engineering risk factors in the implementation of a small electronic medical record system: the problem of scalability. - Michael F. Chiang; Justin B. Starren (AMIA, 2002)

An Experimental System for Comparing Speed, Accuracy, and Completeness of Physician Data Entry using Electronic and Paper Methods. - Michael F. Chiang; Hui Cao 002; Pallav Sharda; George Hripcsak; Justin B. Starren (AMIA, 2003)

Evaluation of consumer health website accessibility by users with sensory and physical disabilities. - Michael F. Chiang; Justin Starren (MedInfo, 2004)

Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics. - Hui Cao 002; Marianthi Markatou; Genevieve B. Melton; Michael F. Chiang; George Hripcsak (AMIA, 2005)

Assessment of Image-Based Technology: Impact of Referral Cutoff on Accuracy and Reliability of Remote Retinopathy of Prematurity Diagnosis. - Michael F. Chiang; Jeremy D. Keenan; Yunling E. Du; William Schiff; Gaetano Barile; Joan Li; Ditte J. Hess; Rose Anne Johnson; John Flynn; Justin Starren (AMIA, 2005)

Automating Content Extraction of HTML Documents. - Suhit Gupta; Gail E. Kaiser; Peter Grimm; Michael F. Chiang; Justin Starren (World Wide Web, 2005)

Reliability of SNOMED-CT Coding by Three Physicians using Two Terminology Browsers. - Michael F. Chiang; John C. Hwang; Alexander C. Yu; Daniel S. Casper; James J. Cimino; Justin Starren (AMIA, 2006)

Challenges in Electronic Health Record Implementation: Making Meaningful Use Meaningful for Specialists and Primary Care Providers. - Michael F. Chiang; Christoph U. Lehmann; Thomas R. Yackel; Jessica Kahn (AMIA, 2012)

Observer and feature analysis on diagnosis of retinopathy of prematurity. - Esra Ataer Cansizoglu; Sheng You; Jayashree Kalpathy-Cramer; Katie Keck; Michael F. Chiang; Deniz Erdogmus (MLSP, 2012)

Level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps. - Bekir Dizdaroglu; Esra Ataer Cansizoglu; Jayashree Kalpathy-Cramer; Katie Keck; Michael F. Chiang; Deniz Erdogmus (MLSP, 2012)

Time-Motion Analysis of Clinical Nursing Documentation During Implementation of an Electronic Operating Room Management System for Ophthalmic Surgery. - Sarah Read-Brown; David S. Sanders; Anna S. Brown; Thomas R. Yackel; Dongseok Choi; Daniel C. Tu; Michael F. Chiang (AMIA, 2013)

Using EHR Timestamps for Analyzing Ophthalmology Clinic Workflows. - Sarah Read-Brown; Michelle R. Hribar; Leah G. Reznick; Thomas R. Yackel; Michael F. Chiang (AMIA, 2014)

Development and Evaluation of Reference Standards for Image-based Telemedicine Diagnosis and Clinical Research Studies in Ophthalmology. - Michael C. Ryan; Susan Ostmo; Karyn Jonas; Audina Berrocal; Kimberly Drenser; Jason Horowitz; Thomas C. Lee; Charles Simmons; Maria-Ana Martinez-Castellanos; R. V. P. Chan; Michael F. Chiang (AMIA, 2014)

Structure-based level set method for automatic retinal vasculature segmentation. - Bekir Dizdaroglu; Esra Ataer Cansizoglu; Jayashree Kalpathy-Cramer; Katie Keck; Michael F. Chiang; Deniz Erdogmus (EURASIP J. Image Video Process., 2014)

Implementation and evaluation of a tele-education system for the diagnosis of ophthalmic disease by international trainees. - John Peter Campbell; Ryan Swan; Karyn Jonas; Susan Ostmo; Camila Ventura; Maria-Ana Martinez-Castellanos; Rachelle G. Anzures; Michael F. Chiang; R. V. P. Chan (AMIA, 2015)

Using High-Fidelity Simulation and Eye Tracking to Characterize Workflow Patterns among Hospital Physicians. - Julie Doberne; Ze He; Vishnu Mohan; Jeffrey Allen Gold; Jenna L. Marquard; Michael F. Chiang (AMIA, 2015)

Secondary Use of EHR Timestamp data: Validation and Application for Workflow Optimization. - Michelle R. Hribar; Sarah Read-Brown; Leah G. Reznick; Lorinna Lombardi; Mansi Parikh; Thomas R. Yackel; Michael F. Chiang (AMIA, 2015)

Identification of Variables that Predict Visit Times for Analyzing Ophthalmology Clinic Workflows. - Sarah Read-Brown; Michelle R. Hribar; Grant Aaker; Leah G. Reznick; Thomas R. Yackel; Michael F. Chiang (AMIA, 2015)

Variability in Electronic Health Record Usage and Perceptions among Specialty vs. Primary Care Physicians. - Travis K. Redd; Julie Doberne; Daniel Lattin; Thomas R. Yackel; Carl O. Eriksson; Vishnu Mohan; Jeffrey Allen Gold; Joan S. Ash; Michael F. Chiang (AMIA, 2015)

A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity. - Verónica Bolón-Canedo; Esra Ataer Cansizoglu; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Michael F. Chiang (ISBI, 2015)

Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images. - Esra Ataer Cansizoglu; Yuichi Taguchi; Jayashree Kalpathy-Cramer; Michael F. Chiang; Deniz Erdogmus (ISBI, 2015)

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. - Verónica Bolón-Canedo; Esra Ataer Cansizoglu; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Oscar Fontenla-Romero; Amparo Alonso-Betanzos; Michael F. Chiang (Comput. Methods Programs Biomed., 2015)

Clinic Workflow Simulations using Secondary EHR Data. - Michelle R. Hribar; David A. Biermann; Sarah Read-Brown; Leah G. Reznick; Lorinna Lombardi; Mansi Parikh; Winston Chamberlain; Thomas R. Yackel; Michael F. Chiang (AMIA, 2016)

Using Social Networking Analysis to Provide Greater Context to the Evaluation of a Team-Based Communication Tool. - Trevor Jamieson; Amna Husain; Peter B. Weinstein; Teja Voruganti; Allison Kurahashi; Alyssa Bertram; Michael F. Chiang (AMIA, 2016)

Toward a severity index for ROP: An unsupervised approach. - Peng Tian; Esra Ataer Cansizoglu; Jayashree Kalpathy-Cramer; Susan Ostmo; Karyn Jonas; R. V. P. Chan; J. Peter Campbell; Michael F. Chiang; Deniz Erdogmus (EMBC, 2016)

Automated Image Quality Assessment for Fundus Images in Retinopathy of Prematurity. - Aaron S. Coyner; Ryan Swan; Jayashree Kalpathy-Cramer; Sang-Jin Kim; John Peter Campbell; Karyn Jonas; Susan Ostmo; R. V. P. Chan; Michael F. Chiang (AMIA, 2017)

Quantifying the Impact of Trainee Providers on Outpatient Clinic Workflow using Secondary EHR Data. - Isaac H. Goldstein; Michelle R. Hribar; Sarah Read-Brown; Michael F. Chiang (AMIA, 2017)

Evaluating and Improving an Outpatient Clinic Scheduling Template Using Secondary Electronic Health Record Data. - Michelle R. Hribar; Sarah Read-Brown; Leah G. Reznick; Michael F. Chiang (AMIA, 2017)

Using Social Networking Analysis to Understand the Importance of Patients and Caregivers in Online Teams of Care. - Trevor Jamieson; Michael F. Chiang; Teja Voruganti; Allison Kurahashi; Alyssa Bertram; Sara Subramaniam; Amna Husain (AMIA, 2017)

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity. - Aaron S. Coyner; Ryan Swan; James M. Brown 001; Jayashree Kalpathy-Cramer; Sang-Jin Kim; John Peter Campbell; Karyn Jonas; Susan Ostmo; R. V. P. Chan; Michael F. Chiang (AMIA, 2018)

Analysis of Total Time Requirements of Electronic Health Record Use by Ophthalmologists Using Secondary EHR Data. - Isaac H. Goldstein; Michelle R. Hribar; Leah G. Reznick; Michael F. Chiang (AMIA, 2018)

Clinical Documentation in Electronic Health Record Systems: Analysis of Patient Record Review During Outpatient Ophthalmology Visits. - Michelle R. Hribar; David A. Biermann; Isaac H. Goldstein; Michael F. Chiang (AMIA, 2018)

Clinical Documentation in Electronic Health Record Systems: Analysis of Similarity in Progress Notes from Consecutive Outpatient Ophthalmology Encounters. - Abigail Huang; Michelle R. Hribar; Isaac H. Goldstein; Brad Henriksen; Wei-Chun Lin; Michael F. Chiang (AMIA, 2018)

Secondary Use of Electronic Health Record Data for Prediction of Outpatient Visit Length in Ophthalmology Clinics. - Wei-Chun Lin; Isaac H. Goldstein; Michelle R. Hribar; Abigail Huang; Michael F. Chiang (AMIA, 2018)

Experimental Design under the Bradley-Terry Model. - Yuan Guo; Peng Tian; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Deniz Erdogmus; Jennifer G. Dy; Stratis Ioannidis (IJCAI, 2018)

High-resolution medical image synthesis using progressively grown generative adversarial networks. - Andrew Beers; James M. Brown 001; Ken Chang; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Jayashree Kalpathy-Cramer (CoRR, 2018)

Deep feature transfer between localization and segmentation tasks. - Szu-Yeu Hu; Andrew Beers; Ken Chang; Kathi Höbel; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Jennifer G. Dy; Michael F. Chiang; Jayashree Kalpathy-Cramer; James M. Brown 001 (CoRR, 2018)

Biomedical informatics and data science: evolving fields with significant overlap. - Patricia Flatley Brennan; Michael F. Chiang; Lucila Ohno-Machado (J. Am. Medical Informatics Assoc., 2018)

Response to Letter: Secondary use of electronic health record data for clinical workflow analysis. - Michelle R. Hribar; Michael F. Chiang (J. Am. Medical Informatics Assoc., 2018)

Secondary use of electronic health record data for clinical workflow analysis. - Michelle R. Hribar; Sarah Read-Brown; Isaac H. Goldstein; Leah G. Reznick; Lorinna Lombardi; Mansi Parikh; Winston Chamberlain; Michael F. Chiang (J. Am. Medical Informatics Assoc., 2018)

Variational Inference from Ranked Samples with Features. - Yuan Guo; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (ACML, 2019)

Predicting Wait Times in Pediatric Ophthalmology Outpatient Clinic Using Machine Learning. - Wei-Chun Lin; Isaac H. Goldstein; Michelle R. Hribar; David S. Sanders; Michael F. Chiang (AMIA, 2019)

More Than Copy-Paste: Content-Importing in Clinical Documentation. - Adam Rule; Michael F. Chiang; Michelle R. Hribar (AMIA, 2019)

A Severity Score for Retinopathy of Prematurity. - Peng Tian; Yuan Guo; Jayashree Kalpathy-Cramer; Susan Ostmo; John Peter Campbell; Michael F. Chiang; Jennifer G. Dy; Deniz Erdogmus; Stratis Ioannidis (KDD, 2019)

Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. - Mara Graziani; James M. Brown 001; Vincent Andrearczyk; Veysi Yildiz; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Michael F. Chiang; Jayashree Kalpathy-Cramer; Henning Müller (Computer-Aided Diagnosis, 2019)

Towards Practical Unsupervised Anomaly Detection on Retinal Images. - Khalil Ouardini; Huijuan Yang; Balagopal Unnikrishnan; Manon Romain; Camille Garcin; Houssam Zenati; J. Peter Campbell; Michael F. Chiang; Jayashree Kalpathy-Cramer; Vijay Chandrasekhar 001; Pavitra Krishnaswamy; Chuan-Sheng Foo (DART/MIL3ID@MICCAI, 2019)

Accelerated Experimental Design for Pairwise Comparisons. - Yuan Guo; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (SDM, 2019)

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. - Jin Chao; Ahmad Al Badawi; Balagopal Unnikrishnan; Jie Lin 001; Chan Fook Mun; James M. Brown 001; J. Peter Campbell; Michael F. Chiang; Jayashree Kalpathy-Cramer; Vijay Ramaseshan Chandrasekhar; Pavitra Krishnaswamy; Khin Mi Mi Aung (CoRR, 2019)

Classification and comparison via neural networks. - Ilkay Yildiz; Peng Tian; Jennifer G. Dy; Deniz Erdogmus; James M. Brown 001; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (Neural Networks, 2019)

Fast and Accurate Ranking Regression. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (AISTATS, 2020)

Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic. - Jimmy Chen; Isaac H. Goldstein; Wei-Chun Lin; Michael F. Chiang; Michelle R. Hribar (AMIA, 2020)

Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity. - Aaron S. Coyner; Jimmy Chen; John Peter Campbell; Susan Ostmo; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F. Chiang (AMIA, 2020)

Methods for Large-Scale Quantitative Analysis of Scribe Impacts on Clinical Documentation. - Michelle R. Hribar; Haley Dusek; Isaac Goldstein; Adam Rule; Michael F. Chiang (AMIA, 2020)

Clinical Documentation as End-User Programming. - Adam Rule; Isaac H. Goldstein; Michael F. Chiang; Michelle R. Hribar (CHI, 2020)

Promoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era. - Sally L. Baxter; Helena E. Gali; Michael F. Chiang; Michelle R. Hribar; Lucila Ohno-Machado; Robert El-Kareh; Abigail E. Huang; Heather E. Chen; Andrew Camp; Don O. Kikkawa; Bobby S. Korn; Jeffrey E. Lee; et al. (Appl. Clin. Inform., 2020)

Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods. - Adam Rule; Michael F. Chiang; Michelle R. Hribar (J. Am. Medical Informatics Assoc., 2020)

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. - Matthew D. Li; Ken Chang; Ben Bearce; Connie Y. Chang; Ambrose J. Huang; J. Peter Campbell; James M. Brown 001; Praveer Singh; Katharina Viktoria Hoebel; Deniz Erdogmus; Stratis Ioannidis; William E. Palmer; et al. (npj Digit. Medicine, 2020)

Deep Spectral Ranking. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (AISTATS, 2021)

Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients. - Wei-Chun Lin; Jimmy Chen; Joel V. Kaluzny; Aiyin Chen; Michael F. Chiang; Michelle R. Hribar (AMIA, 2021)

Informatics-izing the National Institutes of Health. - Clement J. McDonald; Patricia Flatley Brennan; Michael F. Chiang; Joshua Denny; Zhiyong Lu (AMIA, 2021)

Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. - Veysi Yildiz; Stratis Ioannidis; Ilkay Yildiz; Peng Tian; John Peter Campbell; Susan Ostmo; Jayashree Kalpathy-Cramer; Michael F. Chiang; Deniz Erdogmus; Jennifer G. Dy (ISBI, 2021)

Medical Scribes Have a Variable Impact on Documentation Workflows. - Adam Rule; Michael F. Chiang; Michelle R. Hribar (MedInfo, 2021)

Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. - Peng Tian; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (PETRA, 2021)

Structurally Guided Channel Attention Networks: SGCA-Net. - Veysi Yildiz; Jennifer G. Dy; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Stratis Ioannidis; Deniz Erdogmus (PETRA, 2021)

Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations. - Aaron S. Coyner; Praveer Singh; James M. Brown 001; Susan Ostmo; R. V. Paul Chan; Michael F. Chiang; Jayashree Kalpathy-Cramer; J. Peter Campbell (CoRR, 2021)

Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows. - Qingyu Chen 001; 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; et al. (AMIA, 2022)

A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings. - Huijuan Yang; Aaron S. Coyner; Feri Guretno; Ivan Ho Mien; Chuan Sheng Foo; J. Peter Campbell; Susan Ostmo; Michael F. Chiang; Pavitra Krishnaswamy (ICASSP, 2022)

Spectral Ranking Regression. - Ilkay Yildiz; Jennifer G. Dy; Deniz Erdogmus; Susan Ostmo; J. Peter Campbell; Michael F. Chiang; Stratis Ioannidis (ACM Trans. Knowl. Discov. Data, 2022)

A generalized framework to predict continuous scores from medical ordinal labels. - Katharina Viktoria Hoebel; Andréanne Lemay; John Peter Campbell; Susan Ostmo; Michael F. Chiang; Christopher P. Bridge; Matthew D. Li; Praveer Singh; Aaron S. Coyner; Jayashree Kalpathy-Cramer (CoRR, 2023)

Panretinal Optical Coherence Tomography. - Shuibin Ni; Thanh-Tin P. Nguyen; Ringo Ng; Mani Woodward; Susan Ostmo; Yali Jia; Michael F. Chiang; David Huang; Alison H. Skalet; J. Peter Campbell; Yifan Jian (IEEE Trans. Medical Imaging, 2023)

Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. - Qiao Jin 001; Fangyuan Chen; Yiliang Zhou; Ziyang Xu; Justin M. Cheung; Robert Chen; Ronald M. Summers; Justin F. Rousseau; Peiyun Ni; Marc J. Landsman; Sally L. Baxter; Subhi J. Al'Aref; et al. (CoRR, 2024)

Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. - Qingyu Chen 001; 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; et al. (CoRR, 2024)

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. - Qiao Jin 001; Fangyuan Chen; Yiliang Zhou; Ziyang Xu; Justin M. Cheung; Robert Chen; Ronald M. Summers; Justin F. Rousseau; Peiyun Ni; Marc J. Landsman; Sally L. Baxter; Subhi J. Al'Aref; et al. (npj Digit. Medicine, 2024)

Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data. - Wei-Chun Lin; Aiyin Chen; Xubo Song; Nicole Gray Weiskopf; Michael F. Chiang; Michelle R. Hribar (J. Am. Medical Informatics Assoc., 2024)

Re-identification of patients from imaging features extracted by foundation models. - Giacomo Nebbia; Sourav Kumar; Stephen McNamara; Christopher P. Bridge; J. Peter Campbell; Michael F. Chiang; Naresh Mandava; Praveer Singh; Jayashree Kalpathy-Cramer (npj Digit. Medicine, 2025)