Minh Nguyen Nhat To
Orcid: 0000-0003-4035-3313
According to our database1,
Minh Nguyen Nhat To
authored at least 20 papers
between 2018 and 2024.
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Bibliography
2024
LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotations.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
Int. J. Comput. Assist. Radiol. Surg., May, 2024
CoRR, 2024
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.
Int. J. Comput. Assist. Radiol. Surg., July, 2023
2022
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound.
CoRR, 2022
Coarse label refinement for improving prostate cancer detection in ultrasound imaging.
Int. J. Comput. Assist. Radiol. Surg., 2022
Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2020
Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke.
Int. J. Comput. Assist. Radiol. Surg., 2020
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2018
CoRR, 2018
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018