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Journal of Digital Imaging|August 8, 2022
Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine LearningJulia Cluceru, Janine M Lupo, Yannet Interian, et al.
Radiation Oncology (London, England)|August 12, 2017
Relationship between radiation dose and microbleed formation in patients with malignant gliomaMichael Wahl, Mekhail Anwar, Christopher P Hess, et al.
Neuroimage. Clinical|November 2, 2013
Computer-aided detection of radiation-induced cerebral microbleeds on susceptibility-weighted MR imagesWei Bian, Christopher P Hess, Susan M Chang, et al.
Frontiers in Neuroscience|July 3, 2020
A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection ThicknessSivakami Avadiappan, Seyedmehdi Payabvash, Melanie A Morrison, et al.
Frontiers in Neuroscience|September 14, 2023
Evaluation of deep learning models for quality control of MR spectraSana Vaziri, Huawei Liu, Emily Xie, et al.
AJR. American Journal of Roentgenology|November 8, 2018
Machine Learning in Neurooncology Imaging: From Study Request to Diagnosis and TreatmentJavier E Villanueva-Meyer, Peter Chang, Janine M Lupo, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Partially-parallel, susceptibility-weighted MR imaging of brain vasculature at 7 Tesla using sensitivity encoding and an autocalibrating parallel techniqueJanine M Lupo, Suchandrima Banerjee, Douglas Kelley, et al.
Medical Physics|August 10, 2019
Technical Note: Simultaneous segmentation and relaxometry for MRI through multitask learningPeng Cao, Jing Liu, Shuyu Tang, et al.
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