Masha Bondarenko

I graduated from UC Berkeley with a degree in Electrical Engineering & Computer Science in 2024. I currently work as a researcher in the Sohn Lab at UCSF, where I develop machine learning methods to address clinical challenges in radiology, with a focus on imaging-based risk stratification. I have a technical interest in vision foundation models and diffusion/GANs.

Research

Prediction of Subsolid Pulmonary Nodule Evolution from Baseline CT Using Temporal Imaging Models

Masha Bondarenko, Kang Qi, Ali Nowroozi, Justin Kim, Brian Kunzang, Aaron Lee, Nicole Tran, Shiny Weng, Jonathan Liu, Maya Vella, Gunvant Chaudhari, Tician Schnizler, Arun Innaje, Terrence Chen, Jae Ho Sohn

Planner-Executor Style Multimodal Agentic System to Answer Patient Questions in Lung Cancer Screening CT

Koharu Sakiyama, Adrian Serapio, Meng Ye, Ali Nowroozi, Masha Bondarenko, Yufu Wu, Kang Qi, Jonathan Liu, Maya Vella, Yannan Yu, Tician Schnitzler, Alison Rustagi, Jae Ho Sohn

Automated Detection of Interstitial Lung Abnormalities on Chest CT: Multi-Center Validation and Clinical Impact Evaluation

Tician Schnitzler, Ali Nowroozi, Masha Bondarenko, Erica Farrand, Jae Ho Sohn

Imaging Biomarkers Predicting Progression of Interstitial Lung Abnormalities to Idiopathic Pulmonary Fibrosis: Multicontinental Validation Study

Tician Schnitzler, Ali Nowroozi, Masha Bondarenko, Jae Ho Sohn

Investigating AI's potential in risk-stratifying lung cancer screenings for future follow-ups: A retrospective analysis of a tertiary hospital cohort

Ali Nowroozi, Brian Haas, James Brown, Alison Rustagi, Brian Graham, Mollie Hudson, George Su, Masha Bondarenko, Jae Ho Sohn

Pre-imaging Predictors of Cardiac MR Image Quality using Large Language Model-Enabled Data Extraction

Hong Yu*, Masha Bondarenko*, Ali Nowroozi, Yoojin Lee, Adrian Serapio, Pooja Patel, Jae Ho Sohn

Journal of Magnetic Resonance Imaging, 2026

Large Language Models in Radiologic Numerical Tasks: A Thorough Evaluation and Error Analysis

Ali Nowroozi, Masha Bondarenko, Adrian Serapio, Tician Schnitzler, Sukhmanjit S. Brar, Jae Ho Sohn

Journal of Imaging Informatics in Medicine, 2026

Pre-imaging Predictors of Cardiac MR Image Quality with Large Language Model Based Data Extraction

Hong Yu*, Masha Bondarenko* (presenter), Ali Nowroozi, Punita Kaveti, Jae Ho Sohn

Conference on Artificial Intelligence in Medical Imaging, 2025

Detection of Interstitial Lung Abnormalities on Chest CT: Comparative Evaluation of Radiomics and Deep Learning Models

Tician Schnitzler, Ali Nowroozi, Masha Bondarenko (presentor), Erica Farrand, Jae Ho Sohn.

Radiological Society of North America Annual Meeting, 2025

Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy

Masha Bondarenko, Jianxiang Zhang, Ulysis Hugo Baal Jr, Brian Lam, Gunvant Chaudhari, Yoo Jin Lee, Jamie Schroeder, Maya Vella, Brian Haas, Thienkhai Vu, Kimberly Kallianos, Jonathan Liu, Shravan Sridhar, Brett Elicker, Jae Ho Sohn

BMC Medical Imaging, 2025

In-Context Learning of Intuitive Physics in Transformers

Christian Alamos, Masha Bondarenko, Martin Guo, Alex Ngyuen, Max Vogel

2023 [code, slides]

Clinical and Imaging Factors Associated with Growth of Subsolid Pulmonary Nodule on CT

Masha Bondarenko (presenter), Shiny Weng, Gunvant Chaudhari, Arun Innaje, Terrence Chen, Jae Ho Sohn

Radiological Society of North America Annual Meeting, 2023

Radiomics Analysis for Predicting Growth of Subsolid Lung Nodules on CT

Shiny Weng, Masha Bondarenko, Gunvant Chaudhari, Arun Innaje, Terrence Chen, Brandon KK Fields, Jae Ho Sohn

medRxiv, 2023

Emphysema Quantification and Severity Classification with 3-Dimensional Averaging Kernel and Airways Removal

Jianxiang Zhang, Gunvant R Chaudhari, Masha Bondarenko, Jae Ho Sohn

medRxiv, 2022 [code]