PET Imaging

Revisiting Multi-Nodal Radiomics with Advanced Feature Learning for Lymphoma Classification: A Multi-Center Study

Multi-center PET radiomics framework using set-based feature learning and test-time adaptation for patient-level Hodgkin versus non-Hodgkin lymphoma classification.

Reza Karimzadeh

• Jun 23, 2026 • 1 min read

Medical Imaging

Revisiting Multi-Nodal Radiomics with Advanced Feature Learning for Lymphoma Classification

A multi-center machine learning framework for patient-level classification of Hodgkin and non-Hodgkin lymphoma from baseline FDG-PET imaging. The project represents patients as …

Mar 1, 2026 • 1 min read

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PET Imaging

Revisiting Multi-Nodal Radiomics with Advanced Feature Learning for Lymphoma Classification: A Multi-Center Study

Revisiting Multi-Nodal Radiomics with Advanced Feature Learning for Lymphoma Classification