1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
A Specialized Large Multimodal Model for Interpreting PET/CT in Head and Neck Cancer
Haengbok Chung, SunGyu Kim, Joo hyun Lee +4
Background: Diagnosing head and neck cancer using PET/CT is clinically challenging and time-consuming due to the anatomical complexity of the region, motivating computer-aided diag…
cs.CV2026
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge
Asbjørn Munk, Stefano Cerri, Vardan Nersesjan +81
Clinical deployment of automated brain MRI analysis faces a fundamental challenge: clinical data is heterogeneous and noisy, and high-quality labels are prohibitively costly to obt…
cs.CV2025★ 1 cited
FedPOD: the deployable units of training for federated learning
Daewoon Kim, Si Young Yie, Jae Sung Lee
This paper proposes FedPOD, which ranked first in the 2024 Federated Tumor Segmentation (FeTS) Challenge, for optimizing learning efficiency and communication cost in federated lea…