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Radiology. Artificial Intelligence|June 26, 2024
Optimizing Performance of Transformer-based Models for Fetal Brain MR Image SegmentationNicolò Pecco, Pasquale Anthony Della Rosa, Matteo Canini, et al.
Radiology. Artificial Intelligence|July 8, 2021
Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRIQiyuan Hu, Heather M Whitney, Hui Li, et al.
Radiology. Artificial Intelligence|June 18, 2021
Automatic Deep Learning-assisted Detection and Grading of Abnormalities in Knee MRI StudiesBruno Astuto, Io Flament, Nikan K Namiri, et al.
Radiology. Artificial Intelligence|December 21, 2019
A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolizationAli Morshid, Khaled M Elsayes, Ahmed M Khalaf, et al.
Radiology. Artificial Intelligence|December 17, 2020
A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical EstimationDavid Dreizin, Yuyin Zhou, Shuhao Fu, et al.
Radiology. Artificial Intelligence|February 21, 2020
Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung AdenocarcinomaMohammadhadi Khorrami, Monica Khunger, Alexia Zagouras, et al.
Radiology. Artificial Intelligence|February 21, 2020
Fully Automated Diagnosis of Anterior Cruciate Ligament Tears on Knee MR Images by Using Deep LearningFang Liu, Bochen Guan, Zhaoye Zhou, et al.
Radiology. Artificial Intelligence|April 10, 2023
A Deep Learning Algorithm for Automatic 3D Segmentation of Rotator Cuff Muscle and Fat from Clinical MRI ScansLara Riem, Xue Feng, Matthew Cousins, et al.
Radiology. Artificial Intelligence|April 10, 2023
ADMANI: Annotated Digital Mammograms and Associated Non-Image DatasetsHelen M L Frazer, Jennifer S N Tang, Michael S Elliott, et al.
Radiology. Artificial Intelligence|January 2, 2024
Deep Learning-based Identification of Brain MRI Sequences Using a Model Trained on Large Multicentric Study CohortsMustafa Ahmed Mahmutoglu, Chandrakanth Jayachandran Preetha, Hagen Meredig, et al.
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