publications

2025

1. ICML

   

   Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models

   Ulzee An, Moonseong Jeong, Simon A. Lee, and 3 more authors

   In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025

   Spotlight (Top 2.6%)
2. ICML

   

   CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation

   Aditya Gorla, Ryan Wang, Zhengtong Liu, and 2 more authors

   In Proceedings of the 42nd International Conference on Machine Learning (ICML) , 2025

   Spotlight (Top 2.6%)

2024

1. AIMedHealth

   

   DK-BEHRT: Teaching Language Models International Classification of Disease (ICD) Codes using Known Disease Descriptions

   Ulzee An, Simon A. Lee, Moonseong Jeong, and 3 more authors

   AAAI workshop on AI for Medicine and Healthcare, 2024
2. Nature BME

   

   Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans

   Oren Avram, Berkin Durmus, Nadav Rakocz, and 8 more authors

   Nature Biomedical Engineering, 2024

2023

1. Nature Gen

   

   Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder

   Andrew Dahl, Michael Thompson, Ulzee An, and 8 more authors

   Nature Genetics, 2023
2. Nature Gen

   

   Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries

   Ulzee An, Ali Pazokitoroudi, Marcus Alvarez, and 8 more authors

   Nature Genetics, 2023
3. SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

   Oren Avram, Berkin Durmus, Nadav Rakocz, and 8 more authors

   Research Square, 2023
4. Automated identification of incomplete and complete retinal epithelial pigment and outer retinal atrophy using machine learning

   Jeffrey N Chiang, Giulia Corradetti, Muneeswar Gupta Nittala, and 8 more authors

   Ophthalmology Retina, 2023

2022

1. STENSL: Microbial Source Tracking with ENvironment SeLection

   Ulzee An, Liat Shenhav, Christine A Olson, and 3 more authors

   Msystems, 2022
2. Modeling fine-grained spatio-temporal pollution maps with low-cost sensors

   Shiva R Iyer, Ananth Balashankar, William H Aeberhard, and 7 more authors

   npj Climate and Atmospheric Science, 2022
3. Phenotype integration improves power and preserves specificity in biobank-based genetic studies of MDD

   Andrew Dahl, Michael Thompson, Ulzee An, and 8 more authors

   bioRxiv, 2022
4. Automated identification of incomplete and complete retinal epithelial pigment and outer retinal atrophy using machine learning

   Giulia Corradetti, Jeffrey N Chiang, Federico Corvi, and 8 more authors

   Investigative Ophthalmology & Visual Science, 2022
5. AutoComplete: Deep Learning-Based Phenotype Imputation for Large-Scale Biomedical Data

   Ulzee An, Na Cai, Andy Dahl, and 1 more author

   In International Conference on Research in Computational Molecular Biology, 2022

2021

1. High precision mammography lesion identification from imprecise medical annotations

   Ulzee An, Ankit Bhardwaj, Khader Shameer, and 1 more author

   Frontiers in big Data, 2021

2020

1. A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

   David Goodman-Meza, Akos Rudas, Jeffrey N Chiang, and 8 more authors

   Plos one, 2020
2. Expanding COVID-19 symptom screening to retail, restaurants, and schools by preserving privacy using relaxed digital signatures

   Brandon Jew, Alexis Korb, Paul Lou, and 5 more authors

   medRxiv, 2020
3. Projecting hospital resource utilization during a surge using parametric bootstrapping

   Jeffrey N Chiang, Ulzee An, Misagh Kordi, and 8 more authors

   medRxiv, 2020
4. Forecasting sparse traffic congestion patterns using message-passing rnns

   Shiva R Iyer, Ulzee An, and Lakshminarayanan Subramanian

   In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020