ServiceNow IA recherche

Medical Imaging

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.
PDF Citation Code
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.
PDF Citation
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.
PDF Citation
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.
PDF Citation
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.
PDF Citation Code Diapositives