Laura Connolly
Orcid: 0009-0005-8675-160X
According to our database1,
Laura Connolly
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometry.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
Integrating 3D Slicer with a Dynamic Simulator for Situational Aware Robotic Interventions.
CoRR, 2024
2023
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
Proceedings of the Seventh IEEE International Conference on Robotic Computing, 2023
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
2021
Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery.
J. Imaging, 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
2020
Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study.
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
2019
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019