A Finite Element Approach for Young's Modulus Reconstruction. - Yanning Zhu; Timothy J. Hall; Jingfeng Jiang (IEEE Trans. Medical Imaging, 2003)

Motion Tracking for Palpation Imaging. - Timothy J. Hall; Jingfeng Jiang (ISBI, 2004)

Young's Modulus Reconstruction for Radio-Frequency Ablation Electrode-Induced Displacement Fields: A Feasibility Study. - Jingfeng Jiang; Tomy Varghese; Christopher L. Brace; Ernest L. Madsen; Timothy J. Hall; Shyam Bharat; Maritza A. Hobson; James A. Zagzebski; Fred T. Lee Jr. (IEEE Trans. Medical Imaging, 2009)

Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis. - Sevan Goenezen; Jean-Francois Dord; Zac Sink; Paul E. Barbone; Jingfeng Jiang; Timothy J. Hall; Assad A. Oberai (IEEE Trans. Medical Imaging, 2012)

Interactive Decomposition and Mapping of Saccular Cerebral Aneurysms Using Harmonic Functions: Its First Application With "Patient-Specific" Computational Fluid Dynamics (CFD) Simulations. - Jingfeng Jiang; Charles M. Strother (IEEE Trans. Medical Imaging, 2013)

A Graph-Based Interface for VisualAnalytics of 3D Streamlines and Pathlines. - Jun Ma 014; Chaoli Wang 001; Ching-Kuang Shene; Jingfeng Jiang (IEEE Trans. Vis. Comput. Graph., 2014)

VesselMap: A web interface to explore multivariate vascular data. - Jun Tao 002; Xiaoke Huang; Feng Qiu; Chaoli Wang 001; Jingfeng Jiang; Ching-Kuang Shene; Ye Zhao 003; Daphne Yu (Comput. Graph., 2016)

Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms. - Kevin Sunderland; Christopher Haferman; Gouthami Chintalapani; Jingfeng Jiang (Comput. Math. Methods Medicine, 2016)

A Real-Time Medical Ultrasound Simulator Based on a Generative Adversarial Network Model. - Bo Peng 013; Xing Huang; Shiyuan Wang; Jingfeng Jiang (ICIP, 2019)

A two-dimensional (2D) systems biology-based discrete liver tissue model: A simulation study with implications for ultrasound elastography of liver fibrosis. - Yu Wang; Jingfeng Jiang (Comput. Biol. Medicine, 2019)

Augmented Region-Growing-Based Motion Tracking Using Bayesian Inference For Quasi-Static Ultrasound Elastography. - Bo Peng 013; Tianlan Yang; Tingting He; Jingfeng Jiang (ICIP, 2020)

Performance Assessment of Motion Tracking Methods in Ultrasound-based Shear Wave Elastography. - Tingting He; Bo Peng 013; Pengcheng Chen; Jingfeng Jiang (SMC, 2020)

A Real-time Ultrasound Simulator Using Monte-Carlo Path Tracing in Conjunction with Optix Engine. - Qiang Wang; Bo Peng 013; Ziyuan Cao; Xing Huang; Jingfeng Jiang (SMC, 2020)

An Application of Super-Resolution Generative Adversary Networks for Quasi-Static Ultrasound Strain Elastography: A Feasibility Study. - Lianhai He; Bo Peng 013; Tianlan Yang; Jingfeng Jiang (IEEE Access, 2020)

Opportunities and Challenges of Hotel Marketing Under the Background of Big Data. - Jingfeng Jiang; Ziwei Yu (ATCI (1), 2021)

Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking. - Shuojie Wen; Bo Peng 013; Hao Jiang; Junkai Cao; Jingfeng Jiang (ICIP, 2021)

A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images. - Fubao Zhu; Zhengyuan Gao; Chen Zhao; Hanlei Zhu; Yong Dong; Jingfeng Jiang; Neng Dai; Weihua Zhou (CoRR, 2021)

Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos. - Yinghui Meng; Minghao Dong; Xumin Dai; Haipeng Tang; Chen Zhao; Jingfeng Jiang; Shun Xu; Ying Zhou; Fubao Zhu; Zhihui Xu; Weihua Zhou (CoRR, 2021)

Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images. - Nan Mu; Hongyu Wang; Yu Zhang; Jingfeng Jiang; Jinshan Tang (Pattern Recognit., 2021)

GAN-segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation. - Shaoguo Cui; Mingjun Wei; Chang Liu; Jingfeng Jiang (Int. J. Imaging Syst. Technol., 2022)

MATNet: Exploiting Multi-Modal Features for Radiology Report Generation. - Caozhi Shang; Shaoguo Cui; Tiansong Li; Xi Wang; Yongmei Li; Jingfeng Jiang (IEEE Signal Process. Lett., 2022)

Dynamic 3D imaging of contrast medium flow on an interventional C-arm using a pulsed injection protocol. - Erick L. Oberstar; Martin G. Wagner; Mariya Pravdivtseva; Jingfeng Jiang; Michael A. Speidel (Image-Guided Procedures, 2023)

A Multi-Distance Feature Dissimilarity-Guided Encoder-Decoder Network for Polyp Segmentation. - Xianchao Zhang 004; Jinjia Guo; Nan Mu; Jingfeng Jiang (SMC, 2023)

Predicting Amyloid-β Positivity in Alzheimer's Disease: Comprehensive Analysis of Feature Selection and Machine Learning Models for Accurate Identification. - Xing Wei; Na Gao; Mengru Xu; Mostafa Rezaeitaleshmahalleh; Nan Mu; Zonghan Lyu; Michael Ngala; Jingfeng Jiang; Xuelian Chang (Int. J. Online Biomed. Eng., 2023)

An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms. - Nan Mu; Zonghan Lyu; Mostafa Rezaeitaleshmahalleh; Jinshan Tang; Jingfeng Jiang (Medical Image Anal., 2023)

Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net. - Nan Mu; Zonghan Lyu; Mostafa Rezaeitaleshmahalleh; Xiaoming Zhang; Todd Rasmussen; Robert McBane; Jingfeng Jiang (Comput. Biol. Medicine, 2023)

AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms. - Chen Zhao; Zhihui Xu; Jingfeng Jiang; Michele Esposito; Drew Pienta; Guang-Uei Hung; Weihua Zhou (Pattern Recognit., 2023)

Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature. - Nan Mu; Zonghan Lyu; Xiaoming Zhang; Robert McBane; Aditya S. Pandey; Jingfeng Jiang (Comput. Biol. Medicine, 2023)

CM-HTNet: CNN-Mamba-based Framework for Predicting Hemorrhagic Transformation Risk of AIS Patients using Sequence Relationship Modeling and Multi-Modal Cross Attention. - Yuxiang Huang; Huanhuan Ren; Yongmei Li; Jingfeng Jiang; Haodong Xu; Jinwang Feng; Shaoguo Cui (BIBM, 2024)

GMoD: Graph-Driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation. - ZhiPeng Xiang; Shaoguo Cui; Caozhi Shang; Jingfeng Jiang; Liqiang Zhang (MICCAI (5), 2024)

Slimmable transformer with hybrid axial-attention for medical image segmentation. - Yiyue Hu; Nan Mu; Lei Liu; Lei Zhang; Jingfeng Jiang; Xiaoning Li (Comput. Biol. Medicine, 2024)

Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (M2Net) model. - Zonghan Lyu; Nan Mu; Mostafa Rezaeitaleshmahalleh; Xiaoming Zhang; Robert McBane; Jingfeng Jiang (Comput. Biol. Medicine, 2024)

Analysis of competitive differences in the bilateral platforms of the digital economy using artificial intelligence and network data security. - Jingfeng Jiang; Yongyi Wu (Int. J. Inf. Comput. Secur., 2024)

The supply chain advantages and application strategies of artificial intelligence and the Internet of Things. - Yongyi Wu; Jingfeng Jiang; Zhendan Wen (J. Comput. Methods Sci. Eng., 2024)

Teacher-student guided knowledge distillation for unsupervised convolutional neural network-based speckle tracking in ultrasound strain elastography. - Tianqiang Xiang; Yan Li; Hui Deng; Chao Tian; Bo Peng 013; Jingfeng Jiang (Medical Biol. Eng. Comput., 2024)

Towards Robust Polyp Segmentation: Multi-Focus Attention Network with Fine-grained Polyp Cues. - Nan Mu; Xianchao Zhang 004; Yazhou Feng; Xiaoning Li; Jingfeng Jiang; Lei Liu (ICMR, 2025)

Challenges and artificial intelligence solutions for clinically optimal hepatic venous vessel segmentation. - Håvard Bjørke Jenssen; Varatharajan Nainamalai; Egidijus Pelanis; Rahul P. Kumar; Andreas Abildgaard; Finn Kristian Kolrud; Bjørn Edwin; Jingfeng Jiang; Joseph Vettukattil; Ole Jakob Elle; Åsmund Avdem Fretland (Biomed. Signal Process. Control., 2025)

FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography. - Nan Mu; Ruiqi Song; Xiaoning Li; Zhihui Xu; Jingfeng Jiang; Chen Zhao (CoRR, 2025)