4 papers
Radiomics-Integrated Deep Learning with Hierarchical Loss for Osteosarcoma Histology Classification
Yaxi Chen, Zi Ye, Shaheer U. Saeed +4
Osteosarcoma (OS) is an aggressive primary bone malignancy. Accurate histopathological assessment of viable versus non-viable tumor regions after neoadjuvant chemotherapy is critic…
Interpretability and Individuality in Knee MRI: Patient-Specific Radiomic Fingerprint with Reconstructed Healthy Personas
Yaxi Chen, Simin Ni, Shuai Li +6
For automated assessment of knee MRI scans, both accuracy and interpretability are essential for clinical use and adoption. Traditional radiomics rely on predefined features chosen…
Radiomic fingerprints for knee MR images assessment
Yaxi Chen, Simin Ni, Shaheer U. Saeed +5
Accurate interpretation of knee MRI scans relies on expert clinical judgment, often with high variability and limited scalability. Existing radiomic approaches use a fixed set of r…
Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images
Yaxi Chen, Simin Ni, Aleksandra Ivanova +5
Classical radiomic features have been designed to describe image appearance and intensity patterns. These features are directly interpretable and readily understood by radiologists…