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eess.IV2024
Efficient EndoNeRF Reconstruction and Its Application for Data-driven Surgical Simulation
Yuehao Wang, Bingchen Gong, Yonghao Long +2
The healthcare industry has a growing need for realistic modeling and efficient simulation of surgical scenes. With effective models of deformable surgical scenes, clinicians are a…
eess.IV2022
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Wenao Ma, Cheng Chen, Shuang Zheng +3
Class distribution plays an important role in learning deep classifiers. When the proportion of each class in the test set differs from the training set, the performance of classif…
eess.IV2021★ 1 cited
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Meirui Jiang, Zirui Wang, Qi Dou
Multiple medical institutions collaboratively training a model using federated learning (FL) has become a promising solution for maximizing the potential of data-driven models, yet…