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ORCIDVarut Vardhanabhuti
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2020 – today
- 2024
[i9]Jiaxin Zhuang, Linshan Wu, Qiong Wang, Varut Vardhanabhuti, Lin Luo, Hao Chen:
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis. CoRR abs/2404.15580 (2024)- [i8]Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie CW Chu, Zhenhui Li, Juan Zhou, Pranav Rajpurkar, Hao Chen:
Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model. CoRR abs/2408.12606 (2024) - 2023
- [j14]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:
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. Adv. Intell. Syst. 5(9) (2023) - [j13]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:
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation. Adv. Intell. Syst. 5(9) (2023) - [j12]Abhisek Bhattarai, Ray Tanaka, Andy Wai Kan Yeung, Varut Vardhanabhuti:
Photon-Counting CT Material Decomposition in Bone Imaging. J. Imaging 9(10): 209 (2023) - [i7]Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Varut Vardhanabhuti, Winnie CW Chu, Kwang-Ting Cheng, Hao Chen:
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR abs/2304.06662 (2023) - [i6]Morteza Homayounfar, Mohamad Koohi-Moghadam, Reza Rawassizadeh, Varut Vardhanabhuti:
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis. CoRR abs/2304.07461 (2023) - [i5]Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li:
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. CoRR abs/2311.14304 (2023) - 2022
- [j11]Siyavash Shabani, Morteza Homayounfar, Varut Vardhanabhuti, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam:
Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning. Comput. Biol. Medicine 149: 106033 (2022) - [j10]Weiwen Wu, Hengyong Yu, Fenglin Liu, Jianjia Zhang, Varut Vardhanabhuti:
Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization. Comput. Biol. Medicine 151(Part): 106080 (2022) - [j9]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:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - [j8]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. Patterns 3(5): 100474 (2022) - [j7]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. Patterns 3(5): 100475 (2022) - [c3]Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu:
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. NeurIPS 2022 - [i4]Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu:
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. CoRR abs/2210.06044 (2022) - 2021
- [j6]Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander I. Chernoglazov, Varut Vardhanabhuti, Ge Wang:
Deep learning based spectral CT imaging. Neural Networks 144: 342-358 (2021) - [j5]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:
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021) - [j4]Weiwen Wu, Jun Shi, Hengyong Yu, Weifei Wu, Vince Vardhanabhuti:
Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j3]Weiwen Wu, Dianlin Hu, Chuang Niu, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction. IEEE Trans. Medical Imaging 40(11): 3002-3014 (2021) - [i3]Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng:
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. CoRR abs/2104.10553 (2021) - 2020
- [j2]Kang K. Yan, Xiaofei Wang, Wendy W. T. Lam, Varut Vardhanabhuti, Anne W. M. Lee, Herbert Pang:
Radiomics analysis using stability selection supervised component analysis for right-censored survival data. Comput. Biol. Medicine 124: 103959 (2020) - [c2]Richard Du, Varut Vardhanabhuti:
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. MIDL 2020: 174-192 - [d6]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 1. Zenodo, 2020 [all versions]
- [d5]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 2. Zenodo, 2020 [all versions] - [d4]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 3. Zenodo, 2020 [all versions] - [d3]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 4. Zenodo, 2020 [all versions] - [d2]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. Version 5. Zenodo, 2020 [all versions] - [d1]Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction. Version 6. Zenodo, 2020 [all versions] - [i2]Weiwen Wu, Dianlin Hu, Hengyong Yu, Hongming Shan, Shaoyu Wang, Wenxiang Cong, Chuang Niu, Pingkun Yan, Vince Vardhanabhuti, Ge Wang:
Stabilizing Deep Tomographic Reconstruction Networks. CoRR abs/2008.01846 (2020)
2010 – 2019
- 2019
- [j1]Weiwen Wu, Peijun Chen, Vince Vardhanabhuti, Weifei Wu, Hengyong Yu:
Improved Material Decomposition With a Two-Step Regularization for Spectral CT. IEEE Access 7: 158770-158781 (2019) - [c1]Zhiyu Liu, Wenhao Jiang, Kit-Hang Lee, Yat-Long Lo, Yui-Lun Ng, Qi Dou, Varut Vardhanabhuti, Ka-Wai Kwok:
A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network. AIRT@MICCAI 2019: 43-51 - [i1]Weiwen Wu, Peijun Chen, Vince Vardhanabhuti, Weifei Wu, Hengyong Yu:
Improved Material Decomposition with a Two-step Regularization for spectral CT. CoRR abs/1910.05259 (2019)
Coauthor Index
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