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Radiology. Artificial Intelligence|March 6, 2024
AI-assisted Analysis to Facilitate Detection of Humeral Lesions on Chest RadiographsHarim Kim, Kyungsu Kim, Seong Je Oh, et al.
Radiology. Artificial Intelligence|March 6, 2024
Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer DiagnosisLei Hu, Xiangyu Guo, Dawei Zhou, et al.
Radiology. Artificial Intelligence|February 21, 2024
The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI DatasetJeffrey D Rudie, Rachit Saluja, David A Weiss, et al.
Radiology. Artificial Intelligence|October 5, 2023
TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT ImagesJakob Wasserthal, Hanns-Christian Breit, Manfred T Meyer, et al.
Radiology. Artificial Intelligence|August 2, 2023
Conquering the Cobb Angle: A Deep Learning Algorithm for Automated, Hardware-Invariant Measurement of Cobb Angle on Radiographs in Patients with ScoliosisAbhinav Suri, Sisi Tang, Daniel Kargilis, et al.
Radiology. Artificial Intelligence|June 9, 2023
Influence of Data Distribution on Federated Learning Performance in Tumor SegmentationGuibo Luo, Tianyu Liu, Jinghui Lu, et al.
Radiology. Artificial Intelligence|June 9, 2023
DeePSC: A Deep Learning Model for Automated Diagnosis of Primary Sclerosing Cholangitis at Two-dimensional MR CholangiopancreatographyHaissam Ragab, Fabian Westhaeusser, Anne Ernst, et al.
Radiology. Artificial Intelligence|May 6, 2026
Automated Delineation of Couinaud Segments on CT for Future Liver Remnant VolumetryTejas Sudharshan Mathai, Praveen T S Balamuralikrishna, Vivek Batheja, et al.
Radiology. Artificial Intelligence|April 29, 2026
Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular DataJunhyeok Lee, Young Hun Jeon, Joon Jang, et al.
Radiology. Artificial Intelligence|April 15, 2026
Cognitively Biased Prompt Effects on Large Language Model Accuracy for Radiology Board-Style Examination QuestionsNicholas T Dietrich, Dhruv Patel, Joseph Bellissimo, et al.
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