David J. Lederer

According to our database, David J. Lederer authored at least 4 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Localization and segmentation of optimal slices for chest fat quantification in CT via deep learning.

Jizheng Yi, Jayaram K. Udupa, Yubing Tong, Michaela R. Anderson, David J. Lederer, Jason D. Christie, Drew A. Torigian

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2018

Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach.

Yubing Tong, Jayaram K. Udupa, Chuang Wang, Caiyun Wu, Gargi Pednekar, Michaela D. Restivo, David J. Lederer, Jason D. Christie, Drew A. Torigian

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2016

Fat segmentation on chest CT images via fuzzy models.

Yubing Tong, Jayaram K. Udupa, Caiyun Wu, Gargi Pednekar, Janani Rajan Subramanian, David J. Lederer, Jason D. Christie, Drew A. Torigian

Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Fat quantification and analysis of lung transplant patients on unenhanced chest CT images based on standardized anatomic space.

Yubing Tong, Jayaram K. Udupa, Drew A. Torigian, Caiyun Wu, Jason D. Christie, David J. Lederer

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016