Minh Nguyen Nhat To

According to our database, Minh Nguyen Nhat To authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data.

Mohamed Harmanani, Paul F. R. Wilson, Fahimeh Fooladgar, Amoon Jamzad, Mahdi Gilany, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

CoRR, 2024

2023

Semi-supervised learning from coarse histopathology labels.

Fahimeh Fooladgar, Minh Nguyen Nhat To, Golara Javadi, Samira Sojoudi, Walid Eshumani, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.

Mahdi Gilany, Paul F. R. Wilson, Andrea Perera-Ortega, Amoon Jamzad, Minh Nguyen Nhat To, Fahimeh Fooladgar, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., July, 2023

Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise.

Fahimeh Fooladgar, Minh Nguyen Nhat To, Parvin Mousavi, Purang Abolmaesumi

CoRR, 2023

2022

Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound.

Paul F. R. Wilson, Mahdi Gilany, Amoon Jamzad, Fahimeh Fooladgar, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

CoRR, 2022

Coarse label refinement for improving prostate cancer detection in ultrasound imaging.

Minh Nguyen Nhat To, Fahimeh Fooladgar, Golara Javadi, Sharareh Bayat, Samira Sojoudi, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

Int. J. Comput. Assist. Radiol. Surg., 2022

Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound.

Mahdi Gilany, Paul F. R. Wilson, Amoon Jamzad, Fahimeh Fooladgar, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy.

Fahimeh Fooladgar, Minh Nguyen Nhat To, Golara Javadi, Samareh Samadi, Sharareh Bayat, Samira Sojoudi, Walid Eshumani, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

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.

Minh Nguyen Nhat To, Hyun Jeong Kim, Hong Gee Roh, Yoon-Sik Cho, Jin Tae Kwak

Int. J. Comput. Assist. Radiol. Surg., 2020

Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization.

Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter A. Pinto, Vanessa Moreno, María Merino, Bradford J. Wood, Jin Tae Kwak

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.

Golara Javadi, Minh Nguyen Nhat To, Samareh Samadi, Sharareh Bayat, Samira Sojoudi, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi

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.

Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Vanessa Moreno, María Merino, Bradford J. Wood, Jin Tae Kwak

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2018

Methods for Segmentation and Classification of Digital Microscopy Tissue Images.

Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin M. Kurç, Keyvan Farahani, Tianhao Zhao, Rajarsi R. Gupta, Jin Tae Kwak, Nasir M. Rajpoot, Joel H. Saltz

CoRR, 2018

BACH: Grand Challenge on Breast Cancer Histology Images.

Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese, Bahram Marami, Marcel Prastawa, Monica Chan, Michael J. Donovan, Gerardo Fernandez, Jack Zeineh, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak, Sameh Galal, Veronica Sanchez-Freire, Nadia Brancati, Maria Frucci, Daniel Riccio, Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang, Ismaël Koné, Lahsen Boulmane, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar

CoRR, 2018

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.

Minh Nguyen Nhat To, Quoc Dang Vu, Baris Turkbey, Peter L. Choyke, Jin Tae Kwak

Int. J. Comput. Assist. Radiol. Surg., 2018

Micro and Macro Breast Histology Image Analysis by Partial Network Re-use.

Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018