Laura Connolly

According to our database1, Laura Connolly authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Integrating 3D Slicer with a Dynamic Simulator for Situational Aware Robotic Interventions.
CoRR, 2024

2023
Navigated surgical resection cavity inspection for breast conserving surgery.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Tracked tissue sensing for tumor bed inspection.
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

Development of an MRI Guided Auxiliary Robot for Spinal Injections.
Proceedings of the Seventh IEEE International Conference on Robotic Computing, 2023

2022
Bridging 3D Slicer and ROS2 for Image-Guided Robotic Interventions.
Sensors, 2022

Uncertainty estimation for margin detection in cancer surgery using mass spectrometry.
Int. J. Comput. Assist. Radiol. Surg., 2022

Feasibility of combined optical and acoustic imaging for surgical cavity scanning.
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

Robotic tissue scanning with biophotonic probe.
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
Mechanically controlled spectroscopic imaging for tissue classification.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019


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