1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study
Yongda Fan, John Wu, Andrea Fitzpatrick +3
Clinical decisions are high-stakes and require explicit justification, making model interpretability essential for auditing deep clinical models prior to deployment. As the ecosyst…
eess.IV2023★ 1 cited
Medical Image Segmentation with Domain Adaptation: A Survey
Yuemeng Li, Yong Fan
Deep learning (DL) has shown remarkable success in various medical imaging data analysis applications. However, it remains challenging for DL models to achieve good generalization,…
cs.CV2023
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
Xiaoyang Chen, Hao Zheng, Yuemeng Li +4
A versatile medical image segmentation model applicable to images acquired with diverse equipment and protocols can facilitate model deployment and maintenance. However, building s…