The Weighted Ambrosio-Tortorelli Approximation Scheme. - Irene Fonseca; Pan Liu 004 (SIAM J. Math. Anal., 2017)

GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions. - Pan Liu 004; Chao Li 031; Carola-Bibiane Schönlieb (MICCAI (3), 2019)

Adaptive Image Processing: First Order PDE Constraint Regularizers and a Bilevel Training Scheme. - Elisa Davoli; Irene Fonseca; Pan Liu 004 (J. Nonlinear Sci., 2023)

VesselTransGAN to CT Imaging: A Contrast Medium Free CTA Solution. - Yun Hua; Suyan Bian; Pan Liu 004; Shaodong Zhu; Jing Jing 002; Yan Zhuang; Menglu Li; Xu Chen; Chongyou Rao; Xiaoyu Jin; Kunlun He (IEEE Access, 2024)

CT perfusion parameter estimation in stroke using neural network with transformer and physical model priors. - Luyao Luo; Pan Liu 004; Wanxing Ye; Fengwei Chen; Yu Liu; Ziyang Liu 002; Jing Jing 002; Yunyun Xiong; Wanlin Zhu; Yong Jiang; Jian Cheng 002; Yongjun Wang; et al. (Comput. Biol. Medicine, 2024)

An Energy Matching Vessel Segmentation Framework in 3-D Medical Images. - Pan Liu 004; Gao Huang 001; Jing Jing 002; Suyan Bian; Liuquan Cheng; Xin Yang Lu; Chongyou Rao; Yu Liu; Yun Hua; Yongjun Wang; Kunlun He (IEEE Trans. Medical Imaging, 2024)

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance. - Yang Yue; Yulin Wang 002; Haojun Jiang; Pan Liu 004; Shiji Song; Gao Huang 001 (CVPR, 2025)

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. - Yang Yue; Yulin Wang 002; Chenxin Tao; Pan Liu 004; Shiji Song; Gao Huang 001 (CVPR, 2025)

C3R: Category contrastive adaptation and consistency regularization for cross-modality medical image segmentation. - Shaodong Ding; Ziyang Liu 002; Pan Liu 004; Wanlin Zhu; Hong Xu; Zixiao Li; Haijun Niu; Jian Cheng 002; Tao Liu 067 (Expert Syst. Appl., 2025)

Medical Federated Model With Mixture of Personalized and Shared Components. - Yawei Zhao; Qinghe Liu; Pan Liu 004; Xinwang Liu 002; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2025)