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eess.IV2025★ 1 cited
A Physics-Driven Neural Network with Parameter Embedding for Generating Quantitative MR Maps from Weighted Images
Lingjing Chen, Chengxiu Zhang, Yinqiao Yi +9
We propose a deep learning-based approach that integrates MRI sequence parameters to improve the accuracy and generalizability of quantitative image synthesis from clinical weighte…
eess.IV2022★ 2 cited
Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis
Chenglong Wang, Yun Liu, Fen Wang +4
Lung cancer has the highest mortality rate of deadly cancers in the world. Early detection is essential to treatment of lung cancer. However, detection and accurate diagnosis of pu…