Varut Vardhanabhuti
Orcid: 0000-0001-6677-3194
According to our database1,
Varut Vardhanabhuti
authored at least 21 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
Automatic Multiparametric Magnetic Resonance Imaging-Based Prostate Lesions Assessment with Unsupervised Domain Adaptation.
Adv. Intell. Syst., September, 2023
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis.
CoRR, 2023
CoRR, 2023
2022
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks.
Patterns, 2022
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results.
Patterns, 2022
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2022
Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization.
Comput. Biol. Medicine, 2022
Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning.
Comput. Biol. Medicine, 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
DRONE: Dual-Domain Residual-based Optimization NEtwork for Sparse-View CT Reconstruction.
IEEE Trans. Medical Imaging, 2021
Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19.
IEEE Trans. Instrum. Meas., 2021
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2021
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs.
CoRR, 2021
2020
Radiomics analysis using stability selection supervised component analysis for right-censored survival data.
Comput. Biol. Medicine, 2020
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
IEEE Access, 2019
A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019