Prof. Gabor Fichtinger
Professor, Canada Research Chair at Queen's Univ
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
image guided surgery , medical robotics , interventional oncology
Profile Summary

My research and teaching Interest is Computer Integrated Surgery. This is a fascinating and complex field that covers medical imaging, image computing, scientific visualization, surgical planning and navigation, robotics, biosensors and, perhaps most importantly, integration of all these into workable clinical systems and translating them to clinical use. I further specialize in robot-assisted minimally invasive percutaneous (through the skin) surgeries performed under real-time image guidance, with primary application in the detection and treatment of cancer. Please visit our Laboratory for Percutaneous Surgery, or as we call it affectionately: the Perk Lab, online.
Publications (136)

Proceedings Article | 3 April 2024 Presentation + Paper
Gabriella d'Albenzio, Rebecca Hisey, Dilakshan Srikanthan, Tamas Ungi, Andras Lasso, Davit Aghayan, Gabor Fichtinger, Rafael Palomar
Proceedings Volume 12927, 129270Z (2024) https://doi.org/10.1117/12.3006486
KEYWORDS: Resection, Liver, Surgery, Deformation, 3D modeling, Medical imaging, Liver cancer

Proceedings Article | 29 March 2024 Presentation + Paper
Proceedings Volume 12928, 129280S (2024) https://doi.org/10.1117/12.3006533
KEYWORDS: Kidney, Statistical analysis, Portability, Open source software, Ultrasonography, Sampling rates, Visualization, Anatomy, Deep learning, Visual process modeling

Proceedings Article | 29 March 2024 Presentation + Paper
Proceedings Volume 12928, 1292811 (2024) https://doi.org/10.1117/12.3008629
KEYWORDS: Ultrasonography, Spine, X-rays, Radiography, 3D tracking, X-ray imaging, Image segmentation, Cameras, Convolutional neural networks, Volume segmentation

Proceedings Article | 3 April 2023 Presentation + Paper
Proceedings Volume 12466, 124660B (2023) https://doi.org/10.1117/12.2654104
KEYWORDS: Data modeling, Tumor growth modeling, Education and training, Tissues, Cancer, Surgery, Machine learning, Breast cancer, Tumors, Performance modeling

Proceedings Article | 3 April 2023 Presentation + Paper
Olivia Radcliffe, Laura Connolly, Tamas Ungi, Caitlin Yeo, John Rudan, Gabor Fichtinger, Parvin Mousavi
Proceedings Volume 12466, 124660Z (2023) https://doi.org/10.1117/12.2654015
KEYWORDS: Resection, Cancer, Breast, Surgery, Visualization, Navigation systems, Inspection, Tissues, Cancer detection, Magnetic tracking