Varut Vardhanabhuti

30 papers A* 1Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MG-3D: Multi-grained knowledge-enhanced vision-language pre-training for 3D medical image analysis. Medical Image Anal. Xuefeng Ni, Linshan Wu, Jiaxin Zhuang, Qiong Wang, Mingxiang Wu, Varut Vardhanabhuti, Lihai Zhang, Hanyu Gao, Hao Chen
2026	J	`jnl`	Ultra-Low-Field Balanced Steady-State Free Precession MRI at 0.05 Tesla. IEEE Trans. Biomed. Eng. Ye Ding, Varut Vardhanabhuti, Fan Huang, Linfang Xiao, Shi Su, Jiahao Hu, Junhao Zhang, Vick Lau, Christopher Man, Yujiao Zhao, Alex T. L. Leong, Ed X. Wu
2025	J	`jnl`	FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition. CoRR Linshan Wu, Jiaxin Zhuang, Yanning Zhou, Sunan He, Jiabo Ma, Luyang Luo, Xi Wang, Xuefeng Ni, Xiaoling Zhong, Mingxiang Wu, Yinghua Zhao, Xiaohui Duan, Varut Vardhanabhuti, Pranav Rajpurkar, Hao Chen
2025	J	`jnl`	Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications. CoRR Zelin Qiu, Xi Wang, Zhuoyao Xie, Juan Zhou, Yu Wang, Lingjie Yang, Xinrui Jiang, Juyoung Bae, Moo Hyun Son, Qiang Ye, Dexuan Chen, Rui Zhang, Tao Li, Neeraj Ramesh Mahboobani, Varut Vardhanabhuti, Xiaohui Duan, Yinghua Zhao, Hao Chen
2025	J	`jnl`	MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis. IEEE Trans. Medical Imaging Jiaxin Zhuang, Linshan Wu, Qiong Wang, Peng Fei, Varut Vardhanabhuti, Lin Luo, Hao Chen
2025	J	`jnl`	Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment. IEEE Trans. Neural Networks Learn. Syst. Kecheng Chen, Jie Liu, Renjie Wan, Victor Ho-fun Lee, Varut Vardhanabhuti, Hong Yan, Haoliang Li
2024	J	`jnl`	MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training. CoRR Xuefeng Ni, Linshan Wu, Jiaxin Zhuang, Qiong Wang, Mingxiang Wu, Varut Vardhanabhuti, Lihai Zhang, Hanyu Gao, Hao Chen
2024	J	`jnl`	MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis. CoRR Jiaxin Zhuang, Linshan Wu, Qiong Wang, Varut Vardhanabhuti, Lin Luo, Hao Chen
2024	J	`jnl`	Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model. CoRR Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie C. W. Chu, Zhenhui Li, Juan Zhou, Pranav Rajpurkar, Hao Chen
2024	—	`ed.`	Trustworthy Artificial Intelligence for Healthcare - Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings TAI4H Hao Chen, Yuyin Zhou, Daguang Xu, Varut Vardhanabhuti
2023	J	`jnl`	AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. CoRR Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li
2023	J	`jnl`	Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. Adv. Intell. Syst. Jing Dai, Xiaomei Wang, Yingqi Li, Zhiyu Liu, Yui-Lun Ng, Jiaren Xiao, Joe King Man Fan, James Lam, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok
2023	J	`jnl`	Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. Adv. Intell. Syst. Jing Dai, Xiaomei Wang, Yingqi Li, Zhiyu Liu, Yui-Lun Ng, Jiaren Xiao, Joe King Man Fan, James Lam, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok
2023	J	`jnl`	Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis. CoRR Morteza Homayounfar, Mohamad Koohi-Moghadam, Reza Rawassizadeh, Varut Vardhanabhuti
2023	J	`jnl`	Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Varut Vardhanabhuti, Winnie C. W. Chu, Kwang-Ting Cheng, Hao Chen
2023	J	`jnl`	Photon-Counting CT Material Decomposition in Bone Imaging. J. Imaging Abhisek Bhattarai, Ray Tanaka, Andy Wai Kan Yeung, Varut Vardhanabhuti
2022	J	`jnl`	Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine Qi Dou, 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, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
2022	A*	`conf`	Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. NeurIPS Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu
2022	J	`jnl`	Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. CoRR Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu
2022	J	`jnl`	Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning. Comput. Biol. Medicine Siyavash Shabani, Morteza Homayounfar, Varut Vardhanabhuti, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam
2022	J	`jnl`	Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization. Comput. Biol. Medicine Weiwen Wu, Hengyong Yu, Fenglin Liu, Jianjia Zhang, Varut Vardhanabhuti
2022	J	`jnl`	Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. Patterns Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
2022	J	`jnl`	Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. Patterns Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
2021	J	`jnl`	DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction. IEEE Trans. Medical Imaging Weiwen Wu, Dianlin Hu, Chuang Niu, Hengyong Yu, Varut Vardhanabhuti, Ge Wang
2021	J	`jnl`	Deep learning based spectral CT imaging. Neural Networks Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander I. Chernoglazov, Varut Vardhanabhuti, Ge Wang
2021	J	`jnl`	Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine Qi Dou, 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, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
2021	J	`jnl`	Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. CoRR Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng
2020	—	`conf`	3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. MIDL Richard Du, Varut Vardhanabhuti
2020	J	`jnl`	Radiomics analysis using stability selection supervised component analysis for right-censored survival data. Comput. Biol. Medicine Kang K. Yan, Xiaofei Wang, Wendy W. T. Lam, Varut Vardhanabhuti, Anne W. M. Lee, Herbert Pang
2019	—	`conf`	A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network. AIRT@MICCAI Zhiyu Liu, Wenhao Jiang, Kit-Hang Lee, Yat-Long Lo, Yui-Lun Ng, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok