https://rezakarimzadeh.com/tags/lymphoma/LymphomaHugo Blox Builder (https://hugoblox.com)en-usTue, 23 Jun 2026 00:00:00 +0000https://rezakarimzadeh.com/media/icon_hu_982c5d63a71b2961.pnghttps://rezakarimzadeh.com/tags/lymphoma/https://rezakarimzadeh.com/publications/deepradiomics/Tue, 23 Jun 2026 00:00:00 +0000https://rezakarimzadeh.com/publications/deepradiomics/<!-- Optional: add any key points or notes from the paper here -->https://rezakarimzadeh.com/projects/deep-radiomics/Sun, 01 Mar 2026 00:00:00 +0000https://rezakarimzadeh.com/projects/deep-radiomics/<p>A multi-center machine learning framework for patient-level classification of Hodgkin and non-Hodgkin lymphoma from baseline FDG-PET imaging.</p> <p>The project represents patients as variable-size sets of involved lymph nodes and investigates advanced aggregation methods, including Transformers, Deep Sets, multiple instance learning, Set Transformers, and graph-based models. It also explores test-time adaptation to improve model robustness and generalization across clinical centers.</p>