Pulmonology | Radiology Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images. December 20, 2023
Oncology | Radiology MRI-based automatic identification and segmentation of extrahepatic cholangiocarcinoma using deep learning network. November 10, 2023
Neurology | Orthopedics | Pulmonology | Radiology uRP: An integrated research platform for one-stop analysis of medical images. July 26, 2023
Medical Imaging | Nuclear Medicine | Radiology Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction. July 19, 2023
Allergology | Bioinformatics DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins. June 29, 2023
Oncology | Radiology | Thoracic Surgery 3D deep learning versus the current methods for predicting tumor invasiveness of lung adenocarcinoma based on high-resolution computed tomography images. November 7, 2022
Oncology | Pulmonology | Radiology The diagnostic and prognostic value of radiomics and deep learning technologies for patients with solid pulmonary nodules in chest CT images. November 5, 2022
Radiation Oncology | Radiology Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy. November 4, 2022
Neurology | Radiology Deep learning derived automated ASPECTS on non-contrast CT scans of acute ischemic stroke patients. March 31, 2022
Neurology | Radiology Generalizing deep learning brain segmentation for skull removal and intracranial measurements. January 9, 2022
Oncology | Radiology | Surgery Preoperative CT-Based Deep Learning Model for Predicting Risk Stratification in Patients With Gastrointestinal Stromal Tumors. October 11, 2021
Neurology | Pediatrics | Radiology Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. January 28, 2021