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Medical Physics|July 21, 2020
Full-count PET recovery from low-count image using a dilated convolutional neural networkKarl Spuhler, Mario Serrano-Sosa, Renee Cattell, et al.
Visual Computing for Industry, Biomedicine, and Art|March 7, 2022
Preoperative prediction of lymph node metastasis using deep learning-based featuresRenee Cattell, Jia Ying, Lan Lei, et al.
Magnetic Resonance in Medicine|April 9, 2019
Task-based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysisKarl D Spuhler, Jie Ding, Chunling Liu, et al.
Academic Radiology|November 8, 2020
Optimizing the Peritumoral Region Size in Radiomics Analysis for Sentinel Lymph Node Status Prediction in Breast CancerJie Ding, Shenglan Chen, Mario Serrano Sosa, et al.
Magnetic Resonance in Medicine|January 18, 2019
Mapping hepatic blood oxygenation by quantitative BOLD (qBOLD) MRIKenneth Wengler, Jinhong Wang, Mario Serrano Sosa, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 2, 2018
Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRIChunling Liu, Jie Ding, Karl Spuhler, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 10, 2021
Multitask Learning Based Three-Dimensional Striatal Segmentation of MRI: fMRI and PET Objective AssessmentsMario Serrano-Sosa, Jared X Van Snellenberg, Jiayan Meng, et al.
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