Gargi Pednekar
Publications by Year
Research Areas
Medical Imaging and Analysis, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, Advanced Radiotherapy Techniques, Transplantation: Methods and Outcomes
Most-Cited Works
- → Chest Fat Quantification via CT Based on Standardized Anatomy Space in Adult Lung Transplant Candidates(2017)45 cited
- → Adipose tissue quantification and primary graft dysfunction after lung transplantation: The Lung Transplant Body Composition study(2019)41 cited
- → Object recognition in medical images via anatomy-guided deep learning(2022)38 cited
- → AAR-RT – A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases(2019)35 cited
- → Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto‐contouring(2022)28 cited
- → Image quality and segmentation(2018)21 cited
- → Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images(2018)21 cited
- → Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning(2018)15 cited
- → Fat segmentation on chest CT images via fuzzy models(2016)6 cited
- → Anatomy-guided deep learning for object localization in medical images(2022)2 cited