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Minh Nguyen Nhat To

Showing results (1-10 of 17) with videos related to

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European Radiology|May 3, 2022
Biparametric MR signal characteristics can predict histopathological measures of prostate cancerMinh Nguyen Nhat To, Jin Tae Kwak
European Radiology|July 31, 2023
Retraction Note: Biparametric MR signal characteristics can predict histopathological measures of prostate cancerMinh Nguyen Nhat To, Jin Tae Kwak
International Journal of Computer Assisted Radiology and Surgery|August 9, 2018
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imagingMinh Nguyen Nhat To, Dang Quoc Vu, Baris Turkbey, et al.
International Journal of Computer Assisted Radiology and Surgery|September 5, 2019
Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic strokeMinh Nguyen Nhat To, Hyun Jeong Kim, Hong Gee Roh, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|July 21, 2023
Self-Supervised Learning With Limited Labeled Data for Prostate Cancer Detection in High-Frequency UltrasoundPaul F R Wilson, Mahdi Gilany, Amoon Jamzad, et al.
International Journal of Computer Assisted Radiology and Surgery|May 22, 2023
TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervisionMahdi Gilany, Paul Wilson, Andrea Perera-Ortega, et al.
International Journal of Computer Assisted Radiology and Surgery|February 20, 2025
TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasoundMohamed Harmanani, Paul F R Wilson, Minh Nguyen Nhat To, et al.
International Journal of Computer Assisted Radiology and Surgery|March 28, 2022
Coarse label refinement for improving prostate cancer detection in ultrasound imagingMinh Nguyen Nhat To, Fahimeh Fooladgar, Golara Javadi, et al.
International Journal of Computer Assisted Radiology and Surgery|May 5, 2024
Toward confident prostate cancer detection using ultrasound: a multi-center studyPaul F R Wilson, Mohamed Harmanani, Minh Nguyen Nhat To, et al.
International Journal of Computer Assisted Radiology and Surgery|May 5, 2026
TREAT-Netv2: regional wall motion-informed video-tabular fusion for ACS treatment predictionDiane Kim, Victoria Wu, Minh Nguyen Nhat To, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
European Radiology|May 3, 2022
Biparametric MR signal characteristics can predict histopathological measures of prostate cancerMinh Nguyen Nhat To, Jin Tae Kwak
European Radiology|July 31, 2023
Retraction Note: Biparametric MR signal characteristics can predict histopathological measures of prostate cancerMinh Nguyen Nhat To, Jin Tae Kwak
International Journal of Computer Assisted Radiology and Surgery|August 9, 2018
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imagingMinh Nguyen Nhat To, Dang Quoc Vu, Baris Turkbey, et al.
International Journal of Computer Assisted Radiology and Surgery|September 5, 2019
Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic strokeMinh Nguyen Nhat To, Hyun Jeong Kim, Hong Gee Roh, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|July 21, 2023
Self-Supervised Learning With Limited Labeled Data for Prostate Cancer Detection in High-Frequency UltrasoundPaul F R Wilson, Mahdi Gilany, Amoon Jamzad, et al.
International Journal of Computer Assisted Radiology and Surgery|May 22, 2023
TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervisionMahdi Gilany, Paul Wilson, Andrea Perera-Ortega, et al.
International Journal of Computer Assisted Radiology and Surgery|February 20, 2025
TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasoundMohamed Harmanani, Paul F R Wilson, Minh Nguyen Nhat To, et al.
International Journal of Computer Assisted Radiology and Surgery|March 28, 2022
Coarse label refinement for improving prostate cancer detection in ultrasound imagingMinh Nguyen Nhat To, Fahimeh Fooladgar, Golara Javadi, et al.
International Journal of Computer Assisted Radiology and Surgery|May 5, 2024
Toward confident prostate cancer detection using ultrasound: a multi-center studyPaul F R Wilson, Mohamed Harmanani, Minh Nguyen Nhat To, et al.
International Journal of Computer Assisted Radiology and Surgery|May 5, 2026
TREAT-Netv2: regional wall motion-informed video-tabular fusion for ACS treatment predictionDiane Kim, Victoria Wu, Minh Nguyen Nhat To, et al.
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