3 papers
cs.LG2026
Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical Unlearning
Weijie Chen, Alan B. McMillan
Federated learning (FL) enables collaborative model training without sharing raw patient data, but standard approaches such as FedAvg treat each client as a black box and provide n…
eess.IV2025
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction
Weijie Chen, James Wang, Alan McMillan
Positron Emission Tomography (PET) imaging requires accurate attenuation correction (AC) to account for photon loss due to tissue density variations. In PET/MR systems, computed to…
cs.LG2024
SASWISE-UE: Segmentation and Synthesis with Interpretable Scalable Ensembles for Uncertainty Estimation
Weijie Chen, Alan McMillan
This paper introduces an efficient sub-model ensemble framework aimed at enhancing the interpretability of medical deep learning models, thus increasing their clinical applicabilit…