Publications
1.5 Tesla augmented reality navigated interventional magnetic resonance imaging: paravertebral sympathetic plexus injections.
Diagnostic and Interventional Radiology.
(In Press).
(2022).
Feasibility of combined optical and acoustic imaging for surgical cavity scanning.
SPIE Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling. 12034(120341H),
(2022). Feasibility of object detection for skill assessment in central venous catheterization.
SPIE Medical Imaging.
ODriscoll2022a.pdf (629.59 KB)
(2022). 
Feasibility of using object detection for performance assessment in central venous catherization.
Imaging Network of Ontario Symposium.
ODriscoll2022b.pdf (183 KB)
(2022). 
An open-source testbed for developing image-guided robotic tumor-bed inspection.
Imaging Network of Ontario (ImNO) Symposium.
Connolly2022b.pdf (838.81 KB)
(2022). 
Uncertainty estimation for margin detection in cancer surgery using mass spectrometry.
International Journal of Computer Assisted Radiology and Surgery.
(2022). Central Line Tutor: using computer vision workflow recognition in a central venous catheterization training system.
Imaging Network of Ontario Symposium.
RHisey_ImNO2021.pdf (190.87 KB)
(2021). 
Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery.
Journal of Imaging. 7,
(2021). Object detection to compute performance metrics for skill assessment in central venous catheterization.
SPIE Medical Imaging.
ODriscoll2021a.pdf (322.11 KB)
(2021). 
An open-source platform for cooperative semi-autonomous robotic surgery.
IEEE International Conference on Autonomous Systems.
(2021). A platform for robot-assisted Intraoperative imaging in breast conserving surgery.
Imaging Network of Ontario Symposium .
Connolly2021a.pdf (773.23 KB)
(2021). 
Surgical tool tracking with object detection for performance assessment in central venous catheterization.
Imaging Network of Ontario Symposium.
ODriscoll2021b.pdf (151.14 KB)
(2021). 
System for central venous catheterization training using computer vision-based workflow feedback.
IEEE Transactions on Biomedical Engineering.
(2021). 3D Modeling of Surgically Implanted Stent-Based Valves in the Mitral Position in Children.
The Annals of Thoracic Surgery.
(2020). Automatic spine ultrasound segmentation for scoliosis visualization and measurement.
IEEE Transactions on Biomedical Engineering. 67, 3234 - 3241.
Ungi2020.pdf (676.48 KB)
(2020). 
Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study.
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions and Modeling. 11315,
Connolly2020a.pdf (823.25 KB)
(2020). 
Quantitative Imaging Informatics for Cancer Research.
JCO Clinical Cancer Informatics. 4, 444-453..
Fedorov2020.pdf (840.27 KB)
(2020). 
Recognizing workflow tasks in central venous catheterization using convolutional neural networks and reinforcement learning.
International Conference on Computer Assisted Radiology and Surgery. 94-95.
RHisey_CARS_2020.pdf (152.24 KB)
(2020). 
Recognizing workflow tasks in central venous catheterization using convolutional neural networks and reinforcement learning.
International Conference on Computer Assisted Radiology and Surgery. 94-95.
RHisey_CARS_2020.pdf (152.24 KB)
(2020). 
Reinforcement learning approach for video-based task recognition in central venous catheterization.
Imaging Network of Ontario Symposium.
RHisey_ImNO2020.pdf (399.33 KB)
(2020). 
Reinforcement learning approach for video-based task recognition in central venous catheterization.
Imaging Network of Ontario Symposium.
RHisey_ImNO2020.pdf (399.33 KB)
(2020). 
SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality.
IEEE Transactions on Medical Robotics and Bionics. 2, 108-117.
Pinter2020.pdf (521.6 KB)
(2020). 
Assessment of immersive medical virtual reality visualization using 3D Slicer.
17th Annual Imaging Network Ontario Symposium (ImNO).
Choueib2019b.pdf (314.46 KB)
(2019). 
Comparison of convolutional neural networks for central venous catheterization tool detection.
Imaging Network of Ontario Symposium.
RHisey_ImNO2019.pdf (464.16 KB)
(2019). 