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Amoon Jamzad

Showing results (11-20 of 29) with videos related to

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Sensors (Basel, Switzerland)|August 12, 2022
Sensor-Based Automated Detection of Electrosurgical Cautery StatesJosh Ehrlich, Amoon Jamzad, Mark Asselin, 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 19, 2026
GUIDE-US: grade-informed unpaired distillation of encoder knowledge from histopathology to micro-ultrasoundTarek Elghareb, Emma Willis, Paul F R Wilson, 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|July 29, 2025
Anomaly detection using intraoperative iKnife data: a comparative analysis in breast cancer surgeryOlivia Radcliffe, Laura Connolly, Amoon Jamzad, 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|February 12, 2026
ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer DetectionPaul F R Wilson, Mohamed Harmanani, Minh Nguyen Nhat To, 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.
International Journal of Computer Assisted Radiology and Surgery|April 20, 2024
From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgeryChris Yeung, Tamas Ungi, Zoe Hu, et al.
Pageof 3

Showing results (11-20 of 29) with videos related to

Sort By:
Pageof 3
Sensors (Basel, Switzerland)|August 12, 2022
Sensor-Based Automated Detection of Electrosurgical Cautery StatesJosh Ehrlich, Amoon Jamzad, Mark Asselin, 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 19, 2026
GUIDE-US: grade-informed unpaired distillation of encoder knowledge from histopathology to micro-ultrasoundTarek Elghareb, Emma Willis, Paul F R Wilson, 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|July 29, 2025
Anomaly detection using intraoperative iKnife data: a comparative analysis in breast cancer surgeryOlivia Radcliffe, Laura Connolly, Amoon Jamzad, 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|February 12, 2026
ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer DetectionPaul F R Wilson, Mohamed Harmanani, Minh Nguyen Nhat To, 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.
International Journal of Computer Assisted Radiology and Surgery|April 20, 2024
From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgeryChris Yeung, Tamas Ungi, Zoe Hu, et al.
Pageof 3