Amoon Jamzad
According to our database1,
Amoon Jamzad
authored at least 40 papers
between 2011 and 2024.
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Bibliography
2024
From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery.
Int. J. Comput. Assist. Radiol. Surg., June, 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
ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometry.
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
2023
TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.
Int. J. Comput. Assist. Radiol. Surg., July, 2023
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification.
CoRR, 2023
Cautery trajectory analysis for evaluation of resection margins in breast-conserving surgery.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Attention-based multi-instance learning for improved glioblastoma detection using mass spectrometry.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
ViPRE: an open-source software implementation for end-to-end analysis of mass spectrometry data.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Bridging Ex-Vivo Training and Intra-operative Deployment for Surgical Margin Assessment with Evidential Graph Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound.
CoRR, 2022
Uncertainty estimation for margin detection in cancer surgery using mass spectrometry.
Int. J. Comput. Assist. Radiol. Surg., 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 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
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery.
J. Imaging, 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the Machine Learning for Healthcare Conference, 2021
Graph-based analysis of mass spectrometry data for tissue characterization with application in basal cell carcinoma surgery.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Prediction of patient survival following postanoxic coma using EEG data and clinical features.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Utility of High-Throughput Imaging Mass Cytometry for Cancer Research: A feasibility study.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.
Int. J. Comput. Assist. Radiol. Surg., 2020
Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Soft Tissue Characterization with Temporal Enhanced Ultrasound through Periodic Manipulation of Point Spread Function: A Feasibility Study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2011
Simulation of the twinkling artifact in color flow Doppler sonography: A phase noise hypothesis validation.
Proceedings of the 2011 IEEE International Conference on Signal and Image Processing Applications, 2011