Jiashi Zhao
Changchun University of Science and Technology(CN)
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Medical Image Segmentation Techniques, Medical Imaging and Analysis, Cardiac, Anesthesia and Surgical Outcomes, Dental Radiography and Imaging
Most-Cited Works
- → Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images(2022)33 cited
- → A deep learning method for classification of chest X-ray images(2021)18 cited
- → Theoretical study of electronic and mechanical properties of Fe2B(2016)14 cited
- → A New Fast Quality-Guided Flood-Fill Phase Unwrapping Algorithm(2018)12 cited
- → Spinal vertebrae segmentation and localization by transfer learning(2019)5 cited
- → COVID19-ResCapsNet: A Novel Residual Capsule Network for COVID-19 Detection from Chest X-Ray Scans Images(2023)5 cited
- → Unsupervised Scoliosis Diagnosis via a Joint Recognition Method with Multifeature Descriptors and Centroids Extraction(2018)4 cited
- → An MR image segmentation algorithm based on bias field correction(2016)4 cited
- → Multiclass vertebral fracture classification using ensemble probability SVM with multi-feature selection(2019)3 cited
- → An Improved Soft Tissue Deformation Simulation Model Based on Mass Spring(2020)3 cited