2025: Paper “SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data” accepted to ISBI 2025 (Oral)
2025: Paper “Is SAM 2 better than SAM in medical image segmentation?” accepted to SPIE Medical Imaging 2025
2025: Paper “On the utility of virtual staining for downstream applications as it relates to task network capacity” accepted to Biomedical Optics Express
2025: Paper “Semi-supervised semantic segmentation of cell nuclei with diffusion model and collaborative learning” accepted to Journal of Medical Imaging, SPIE
2024: Paper “A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers” accepted to IEEE Transactions on Medical Imaging
2023: Recipient of the Bahl Graduate Student Award from UIUC ECE Department
2023: Paper “Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification” accepted to ICML 2023 Workshop on Interpretable Machine Learning in Healthcare
2022: Paper “Semi-supervised contrastive learning for white blood cell segmentation from label-free quantitative phase imaging” accepted to SPIE Medical Imaging 2023 (Oral Presentation)
2022: Paper “White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS)” published in Scientific Reports
2021: Awarded the NIH T32 Predoctoral Trainee Award
2021: Multiple papers accepted to MICCAI 2022 OMIA Workshop and SPIE Medical Imaging 2022