Oncology | Radiology Deep learning-based automatic segmentation for size and volumetric measurement of breast cancer on magnetic resonance imaging. August 29, 2022
Oncology | Pulmonology | Radiology Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: A phantom study. June 23, 2022
Oncology | Radiology Fully automated volumetric measurement of malignant pleural mesothelioma by deep learning AI: validation and comparison with modified RECIST response criteria. February 3, 2022
Radiology Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study. December 15, 2021
Neurosurgery | Radiology Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery. February 5, 2021
Neurology | Pediatrics | Radiology Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus. December 1, 2020