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Tomography (Ann Arbor, Mich.)|June 18, 2020
Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic FeaturesAkshay Jaggi, Sarah A Mattonen, Michael McNitt-Gray, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 25, 2020
Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelinesSarah A Mattonen, Dev Gude, Sebastian Echegaray, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 13, 2021
Quantitative image features from radiomic biopsy differentiate oncocytoma from chromophobe renal cell carcinomaAkshay Jaggi, Domenico Mastrodicasa, Gregory W Charville, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
[18F] FDG Positron Emission Tomography (PET) Tumor and Penumbra Imaging Features Predict Recurrence in Non-Small Cell Lung CancerSarah A Mattonen, Guido A Davidzon, Shaimaa Bakr, et al.
Radiology|September 19, 2019
Bone Marrow and Tumor Radiomics at <sup>18</sup>F-FDG PET/CT: Impact on Outcome Prediction in Non-Small Cell Lung CancerSarah A Mattonen, Guido A Davidzon, Jalen Benson, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Rotational roadmapping: a new image-based navigation technique for the interventional roomMarkus Kukuk, Sandy Napel
Journal of Medical Imaging (Bellingham, Wash.)|November 17, 2022
Predicting recurrence risks in lung cancer patients using multimodal radiomics and random survival forestsJaryd R Christie, Omar Daher, Mohamed Abdelrazek, et al.
Medical Physics|February 7, 2007
Targeted 2D/3D registration using ray normalization and a hybrid optimizerJoyoni Dey, Sandy Napel
Medical Physics|June 21, 2019
A convolutional neural network for ultra-low-dose CT denoising and emphysema screeningTingting Zhao, Michael McNitt-Gray, Dan Ruan
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