Bioluminescence Tomography by an Iterative Reweighted ${ bm {l_{2}}}$-Norm Optimization. - Ping Wu; Yifang Hu; Kun Wang 019; Jie Tian 001 (IEEE Trans. Biomed. Eng., 2014)

Endoscopic Cerenkov luminescence imaging: in vivo small animal tumor model validation. - Tianming Song; Chengpeng Bao; Zhenhua Hu; Kun Wang 019; Xia Liu; Jie Tian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Cerenkov luminescence tomography based on preconditioning orthogonal matching pursuit. - Haixiao Liu; Zhenhua Hu; Kun Wang 019; Jie Tian 001; Xin Yang 001 (Image Processing, 2015)

Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography. - Hongbo Liu; Kun Wang 019; Dong Peng; Hui Li; Yukun Zhu; Shuang Zhang; Muhan Liu; Jie Tian 001 (IEEE Trans. Medical Imaging, 2016)

Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach. - Jiangdian Song; Caiyun Yang; Li Fan 002; Kun Wang 019; Feng Yang 009; Shiyuan Liu; Jie Tian 001 (IEEE Trans. Medical Imaging, 2016)

Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for In Vivo Morphological Imaging of Glioma. - Yuan Gao 009; Kun Wang 019; Shixin Jiang; Yuhao Liu; Ting Ai; Jie Tian 001 (IEEE Trans. Medical Imaging, 2017)

Corrections to "Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for Morphological Imaging of Glioma". - Yuan Gao 009; Kun Wang 019; Shixin Jiang; Yuhao Liu; Ting Ai; Jie Tian 001 (IEEE Trans. Medical Imaging, 2018)

Corrections for "Bioluminescence Tomography Based on Gaussian Weighted Laplace Prior Regularization for Morphological Imaging of Glioma". - Yuan Gao 009; Kun Wang 019; Shixin Jiang; Yuhao Liu; Ting Ai; Jie Tian 001 (IEEE Trans. Medical Imaging, 2018)

Recent methodology advances in fluorescence molecular tomography. - Yu An; Kun Wang 019; Jie Tian 001 (Vis. Comput. Ind. Biomed. Art, 2018)

Deep learning based classification for metastasis of hepatocellular carcinoma with microscopic images. - Hui Meng; Yuan Gao 009; Kun Wang 019; Jie Tian 001 (Image Processing, 2019)

Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior. - Shixin Jiang; Jie Liu; Guanglei Zhang; Yu An; Hui Meng; Yuan Gao 009; Kun Wang 019; Jie Tian 001 (IEEE Trans. Biomed. Eng., 2019)

Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography. - Hui Meng; Kun Wang 019; Yuan Gao 009; Yushen Jin; Xibo Ma; Jie Tian 001 (IEEE Trans. Medical Imaging, 2019)

Application of machine learning method in optical molecular imaging: a review. - Yu An; Hui Meng; Yuan Gao 009; Tong Tong; Chong Zhang; Kun Wang 019; Jie Tian 001 (Sci. China Inf. Sci., 2020)

Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences. - Fei Liu; Dan Liu; Jie Tian 001; Xiaoyan Xie; Xin Yang 001; Kun Wang 019 (Medical Image Anal., 2020)

Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma. - Shixin Jiang; Jie Liu; Yu An; Yuan Gao 009; Hui Meng; Kun Wang 019; Jie Tian 001 (IEEE Trans. Biomed. Eng., 2020)

Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography. - Lin Yin; Kun Wang 019; Tong Tong; Yu An; Hui Meng; Xin Yang 001; Jie Tian 001 (IEEE Trans. Biomed. Eng., 2020)

Online Transfer Learning for Differential Diagnosis of Benign and Malignant Thyroid Nodules With Ultrasound Images. - Hui Zhou; Kun Wang 019; Jie Tian 001 (IEEE Trans. Biomed. Eng., 2020)

K-Nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography. - Hui Meng; Yuan Gao 009; Xin Yang 001; Kun Wang 019; Jie Tian 001 (IEEE Trans. Medical Imaging, 2020)

Gaussian weighted block sparse Bayesian learning strategy based on K-means clustering algorithm for accurate bioluminescence tomography in glioma. - Lin Yin; Kun Wang 019; Jie Tian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography. - Fei Liu; Kun Wang 019; Dan Liu; Xin Yang 001; Jie Tian 001 (Medical Image Anal., 2021)

Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography. - Lin Yin; Kun Wang 019; Tong Tong; Qian Wang; Yu An; Xin Yang 001; Jie Tian 001 (IEEE Trans. Biomed. Eng., 2021)

CEUSegNet: A Cross-Modality Lesion Segmentation Network for Contrast-Enhanced Ultrasound. - Zheling Meng; Yangyang Zhu; Xiao Fan; Jie Tian 001; Fang Nie; Kun Wang 019 (ISBI, 2022)

Recent developments of the reconstruction in magnetic particle imaging. - Lin Yin; Wei Li; Yang Du; Kun Wang 019; Zhenyu Liu; Hui Hui; Jie Tian 001 (Vis. Comput. Ind. Biomed. Art, 2022)

Dual-Input Transformer: An End-to-End Model for Preoperative Assessment of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Ultrasonography. - Tong Tong; Dongyang Li; Jionghui Gu; Guo Chen; Guotao Bai; Xin Yang 001; Kun Wang 019; Tian'an Jiang; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2023)

MSMFN: An Ultrasound Based Multi-Step Modality Fusion Network for Identifying the Histologic Subtypes of Metastatic Cervical Lymphadenopathy. - Zheling Meng; Yangyang Zhu; Wenjing Pang; Jie Tian 001; Fang Nie; Kun Wang 019 (IEEE Trans. Medical Imaging, 2023)

Application and prospects of AI-based radiomics in ultrasound diagnosis. - Haoyan Zhang; Zheling Meng; Jinyu Ru; Yaqing Meng; Kun Wang 019 (Vis. Comput. Ind. Biomed. Art, 2023)

M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer. - Song Zhang; Siyao Du; Caixia Sun; Bao Li; Lizhi Shao; Lina Zhang; Kun Wang 019; Zhenyu Liu; Jie Tian 001 (MICCAI (5), 2024)

Deep learning radiomics of elastography for diagnosing compensated advanced chronic liver disease: an international multicenter study. - Xue Lu; Haoyan Zhang; Hidekatsu Kuroda; Matteo Garcovich; Victor de Ledinghen; Ivica Grgurevic; Runze Linghu; Hong Ding; Jiandong Chang; Min Wu; Cheng Feng; Xinping Ren; et al. (Vis. Comput. Ind. Biomed. Art, 2025)

Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data. - Yaqing Meng; Mingyang Wang; Ningning Niu; Haoyan Zhang; Jinghan Yang; Guoying Zhang; Jing Liu; Ying Tang; Kun Wang 019 (Vis. Comput. Ind. Biomed. Art, 2025)