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Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
One of the main challenges faced when training a deep learning based model to classify histopathological images is the color and shape …
ArXiv,  2024.
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A Soft Labeling Approach to Develop Automated Algorithms that Incorporate Uncertainty in Pulmonary Opacification on Chest CT using COVID-19 Pneumonia
A Soft Labeling Approach to Develop Automated Algorithms that Incorporate Uncertainty in Pulmonary Opacification on Chest CT using COVID-19 Pneumonia

Rationale and objectives: Hard data labels for automated algorithm training are binary and cannot incorporate uncertainty between …

Academic Radiology,  2022.
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A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images
Health professionals extensively use Two-Dimensional (2D) Ultrasound (US) videos and images to visualize and measure internal organs …
IEEE Journal of Biomedical and Health Informatics,  2021.
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Predicting Infectiousness for Proactive Contact Tracing
Predicting Infectiousness for Proactive Contact Tracing
The COVID-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries and resulting in widespread …
International Conference on Learning Representations (ICLR),  2021.
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A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Coronavirus Disease 2019 (COVID-19) has spread aggressively across the world causing an existential health crisis. Thus, having a …
Winter Conference on Applications of Computer Vision (WACV),  2021.
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