Alice completed her undergraduate degree at Queen's University in Biomedical Computing. Her interest in the applications of computing to the medical sciences brought her to computer science. She is interested in clinical translation projects and how data analytics and machine learning can help create better clinical systems. She is currently completing her master's in computer science at Queen's University with the Med-i lab and the Perk Lab. Her work includes analyzing BBC (Basil Cell Carcinoma) data collected with the IKnife (Waters Corp) with hopes of building a recognition model for intra-operative use.
Phase Recognition and Cautery Localization in Basal Cell Carcinoma Surgical Videos Inproceedings
In: SPIE Medical Imaging, International Society for Optics and Photonics International Society for Optics and Photonics, 2022.
Graph Transformers for characterization and interpretation of surgical margins Inproceedings Forthcoming
In: Medical Image Computing and Computer Assisted Interventions (MICCAI), Forthcoming.
Domain adaptation and self-supervised learning for surgical margin detection Journal Article
In: International Journal of Computer Assisted Radiology and Surgery (IPCAI), vol. 16, no. 5, pp. 861–869, 2021.
Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data Inproceedings
In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 980–984, IEEE 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.
Domain Adaptation and Self-Supervised Learning for Surgical Margin Detection Conference
The 19th Annual Symposium of the Imaging Network of Ontario (ImNO), no. BEST PITCH AWARD, 2021.
Graph-based analysis of mass spectrometry data for tissue characterization with application in basal cell carcinoma surgery Inproceedings
In: Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling, pp. 1159812, International Society for Optics and Photonics SPIE, 2021.
Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry Inproceedings
In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 44–53, MICCAI 2020.
Navigated tissue characterization during skin cancer surgery Journal Article
In: International Journal of Computer Assisted Radiology and Surgery, 2020, ISSN: 1861-6429.
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.
Navigated skin cancer surgery with real-time tissue characterization 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.