A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network. - Zhiyu Liu; Wenhao Jiang; Kit-Hang Lee; Yat-Long Lo; Yui-Lun Ng; Qi Dou 001; Varut Vardhanabhuti; Ka-Wai Kwok (AIRT@MICCAI, 2019)

Improved Material Decomposition With a Two-Step Regularization for Spectral CT. - Weiwen Wu; Peijun Chen; Vince Vardhanabhuti; Weifei Wu; Hengyong Yu (IEEE Access, 2019)

3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. - Richard Du; Varut Vardhanabhuti (MIDL, 2020)

Radiomics analysis using stability selection supervised component analysis for right-censored survival data. - Kang K. Yan; Xiaofei Wang; Wendy W. T. Lam; Varut Vardhanabhuti; Anne W. M. Lee; Herbert Pang (Comput. Biol. Medicine, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Hengyong Yu; Hongming Shan; Shaoyu Wang 002; Wenxiang Cong; Chuang Niu; Pingkun Yan; Vince Vardhanabhuti; Ge Wang 001 (CoRR, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction Networks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Stabilizing Deep Tomographic Reconstruction. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Zenodo, 2020)

Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. - Luyang Luo; Hao Chen 011; Yongjie Xiao; Yanning Zhou 001; Xi Wang 013; Varut Vardhanabhuti; Mingxiang Wu; Pheng-Ann Heng (CoRR, 2021)

Deep learning based spectral CT imaging. - Weiwen Wu; Dianlin Hu; Chuang Niu; Lieza Vanden Broeke; Anthony P. H. Butler; Peng Cao; James Atlas; Alexander I. Chernoglazov; Varut Vardhanabhuti; Ge Wang 001 (Neural Networks, 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2021)

Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19. - Weiwen Wu; Jun Shi 004; Hengyong Yu; Weifei Wu; Vince Vardhanabhuti (IEEE Trans. Instrum. Meas., 2021)

DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction. - Weiwen Wu; Dianlin Hu; Chuang Niu; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (IEEE Trans. Medical Imaging, 2021)

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. - Fuying Wang; Yuyin Zhou; Shujun Wang; Varut Vardhanabhuti; Lequan Yu (NeurIPS, 2022)

Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning. - Siyavash Shabani; Morteza Homayounfar; Varut Vardhanabhuti; Mohammad-Ali Nikouei Mahani; Mohamad Koohi-Moghadam (Comput. Biol. Medicine, 2022)

Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization. - Weiwen Wu; Hengyong Yu; Fenglin Liu; Jianjia Zhang; Varut Vardhanabhuti (Comput. Biol. Medicine, 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2022)

Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Patterns, 2022)

Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. - Weiwen Wu; Dianlin Hu; Wenxiang Cong; Hongming Shan; Shaoyu Wang 002; Chuang Niu; Pingkun Yan; Hengyong Yu; Varut Vardhanabhuti; Ge Wang 001 (Patterns, 2022)

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. - Luyang Luo; Xi Wang 013; Yi Lin 009; Xiaoqi Ma; Andong Tan; Ronald C. K. Chan; Varut Vardhanabhuti; Winnie C. W. Chu; Kwang-Ting Cheng; Hao Chen 011 (CoRR, 2023)

Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis. - Morteza Homayounfar; Mohamad Koohi-Moghadam; Reza Rawassizadeh; Varut Vardhanabhuti (CoRR, 2023)

AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. - Jie Lian; Xufang Luo; Caihua Shan; Dongqi Han; Varut Vardhanabhuti; Dongsheng Li 002 (CoRR, 2023)

Photon-Counting CT Material Decomposition in Bone Imaging. - Abhisek Bhattarai; Ray Tanaka; Andy Wai Kan Yeung; Varut Vardhanabhuti (J. Imaging, 2023)

Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. - Jing Dai; Xiaomei Wang; Yingqi Li; Zhiyu Liu; Yui-Lun Ng; Jiaren Xiao; Joe King Man Fan; James Lam; Qi Dou 001; Varut Vardhanabhuti; Ka-Wai Kwok (Adv. Intell. Syst., 2023)

MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis. - Jiaxin Zhuang; Linshan Wu; Qiong Wang 001; Varut Vardhanabhuti; Lin Luo; Hao Chen 011 (CoRR, 2024)

Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model. - Luyang Luo; Mingxiang Wu; Mei Li; Yi Xin; Qiong Wang 001; Varut Vardhanabhuti; Winnie C. W. Chu; Zhenhui Li; Juan Zhou; Pranav Rajpurkar; Hao Chen 011 (CoRR, 2024)

MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training. - Xuefeng Ni; Linshan Wu; Jiaxin Zhuang; Qiong Wang 001; Mingxiang Wu; Varut Vardhanabhuti; Lihai Zhang; Hanyu Gao; Hao Chen 011 (CoRR, 2024)

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition. - Linshan Wu; Jiaxin Zhuang; Yanning Zhou 003; Sunan He; Jiabo Ma; Luyang Luo; Xi Wang 013; Xuefeng Ni; Xiaoling Zhong; Mingxiang Wu; Yinghua Zhao; Xiaohui Duan; et al. (CoRR, 2025)

Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment. - Kecheng Chen; Jie Liu 044; Renjie Wan; Victor Ho-fun Lee; Varut Vardhanabhuti; Hong Yan 001; Haoliang Li (IEEE Trans. Neural Networks Learn. Syst., 2025)