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Radiologists

Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid

Kyong Joon Lee, Inseon Ryoo, [ ... ], Hye Na Jung

CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks

Hongyu Wang, Hong Gu, Pan Qin, Jia Wang

Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters?

Barbaros S. Erdal, Mutlu Demirer, [ ... ], Richard D. White

Comparison of virtual to true unenhanced abdominal computed tomography images acquired using rapid kV-switching dual energy imaging

D. Olivia Popnoe, Chaan S. Ng, [ ... ], A. Kyle Jones

Feasibility of a customizable training environment for neurointerventional skills assessment

Marie Teresa Nawka, Uta Hanning, [ ... ], Andreas Maximilian Frölich

FeAture Explorer (FAE): A tool for developing and comparing radiomics models

Yang Song, Jing Zhang, [ ... ], Guang Yang

New convolutional neural network model for screening and diagnosis of mammograms

Chen Zhang, Jumin Zhao, Jing Niu, Dengao Li

Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs

Jocelyn Zhu, Beiyi Shen, [ ... ], Tim Q. Duong

A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study

Xiao-Ling Zou, Yong Ren, [ ... ], Tian-Tuo Zhang

Integration and evaluation of a gradient-based needle navigation system for percutaneous MR-guided interventions

Li Pan, Steffi Valdeig, [ ... ], Frank K. Wacker

Towards subject-level cerebral infarction classification of CT scans using convolutional networks

Manuel Schultheiss, Peter B. Noël, [ ... ], Daniela Pfeiffer

4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings

Gino Gulamhussene, Fabian Joeres, [ ... ], Christian Hansen

Clinical validity of two different grading systems for lumbar central canal stenosis: Schizas and Lee classification systems

Yeon-jee Ko, Eugene Lee, [ ... ], Joong Mo Ahn

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