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Fahimeh Fooladgar

Showing results (1-10 of 11) with videos related to

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Medical Image Analysis|July 18, 2025
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classificationBodong Zhang, Hamid Manoochehri, Man Minh Ho, 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|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|April 4, 2025
FACT: foundation model for assessing cancer tissue margins with mass spectrometryMohammad Farahmand, Amoon Jamzad, Fahimeh Fooladgar, 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|September 29, 2022
Uncertainty estimation for margin detection in cancer surgery using mass spectrometryFahimeh Fooladgar, Amoon Jamzad, Laura Connolly, et al.
International Journal of Computer Assisted Radiology and Surgery|April 10, 2024
ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometryLaura Connolly, Fahimeh Fooladgar, Amoon Jamzad, et al.
International Journal of Computer Assisted Radiology and Surgery|April 10, 2024
LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotationsMinh Nguyen Nhat To, Fahimeh Fooladgar, Paul Wilson, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Medical Image Analysis|July 18, 2025
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classificationBodong Zhang, Hamid Manoochehri, Man Minh Ho, 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|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|April 4, 2025
FACT: foundation model for assessing cancer tissue margins with mass spectrometryMohammad Farahmand, Amoon Jamzad, Fahimeh Fooladgar, 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|September 29, 2022
Uncertainty estimation for margin detection in cancer surgery using mass spectrometryFahimeh Fooladgar, Amoon Jamzad, Laura Connolly, et al.
International Journal of Computer Assisted Radiology and Surgery|April 10, 2024
ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometryLaura Connolly, Fahimeh Fooladgar, Amoon Jamzad, et al.
International Journal of Computer Assisted Radiology and Surgery|April 10, 2024
LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotationsMinh Nguyen Nhat To, Fahimeh Fooladgar, Paul Wilson, et al.
Pageof 2