Laura Connolly
Laura Connolly is a first year masters student at Queen's University. Her previous research includes automating data collection and applying machine learning techniques and mass spectrometry for intraoperative tissue recognition. She is currently working on simulating and implementing a robotic navigation system for breast conserving surgery.
2022
An open-source testbed for developing image-guided robotic tumor-bed inspection Conference
20th Annual Symposium of the Imaging Network of Ontario (ImNO) 2022, 2022.
Feasibility of combined optical and acoustic imaging for surgical cavity scanning Proceedings Article
In: SPIE Medical Imaging, International Society for Optics and Photonics International Society for Optics and Photonics, 2022, 2022.
2021
An open-source platform for cooperative, semi-autonomous robotic surgery Conference Forthcoming
IEEE International Conference on Autonomous Systems (ICAS), Forthcoming.
A platform for robot-assisted intraoperative imaging in breast conserving surgery Conference
The 19th Annual Symposium of the Imaging Network of Ontario (ImNO), no. BEST PITCH AWARD, 2021.
Tissue Classification of Mass Spectrometry iKnife Data Using Graph Convolutional Networks Conference
The 19th Annual Symposium of the Imaging Network of Ontario (ImNO), 2021.
Graph-based analysis of mass spectrometry data for tissue characterization with application in basal cell carcinoma surgery Proceedings Article
In: Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 1159812, International Society for Optics and Photonics SPIE, 2021.
2020
Perioperative Margin Detection In Basal Cell Carcinoma Using A Deep Learning Framework: A Feasibility Study Journal Article
In: International Journal of Computer Assisted Radiology and Surgery, special issue of International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), vol. 15, no. 5, pp. 887–896, 2020.
Classification of primary cancer and surrounding tissue in breast cancer xenograft models Conference
The 18th Annual Symposium of the Imaging Network of Ontario (ImNO), 2020.
Using a biophotonic probe for robotic tissue scanning Conference
The 18th Annual Symposium of the Imaging Network of Ontario (ImNO), 2020.
Symmetric Autoencoder for Tissue Classification of Mass Spectrometry IKnife Data Conference
The 18th Annual Symposium of the Imaging Network of Ontario (ImNO), vol. Abstract, no. BEST ORAL PRESENTATION AWARD, 2020.
Robotic tissue scanning with biophotonic probe Proceedings Article
In: Fei, Baowei; Linte, Cristian A (Ed.): Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 330 – 335, International Society for Optics and Photonics SPIE, 2020.
Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study Proceedings Article
In: Fei, Baowei; Linte, Cristian A (Ed.): Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 175 – 183, International Society for Optics and Photonics SPIE, 2020.