Article-Journal

Synthetic white balancing for intra-operative hyperspectral imaging
Hyperspectral imaging shows promise for surgical applications to non-invasively provide spatially-resolved, spectral information. For …
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Intraoperative tissue classification methods in orthopedic and neurological surgeries: a systematic review
Accurate tissue differentiation during orthopedic and neurological surgeries is critical, given that such surgeries involve operations …
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Robotic Endoscope Control Via Autonomous Instrument Tracking
Many keyhole interventions rely on bi-manual handling of surgical instruments, forcing the main surgeon to rely on a second surgeon to …
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An augmented reality-based interaction scheme for robotic pedicle screw placement
Robot-assisted surgery is becoming popular in the operation room (OR) for, e.g., orthopedic surgery (among other surgeries). However, …
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Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction
Current laparoscopic camera motion automation relies on rule-based approaches or only focuses on surgical tools. Imitation Learning …
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Surgical Process Modeling for Open Spinal Surgeries
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Intraoperative hyperspectral label-free imaging: from system design to first-in-patient translation
Despite advances in intraoperative surgical imaging, reliable discrimination of critical tissue during surgery remains challenging. As …
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Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction
Hyperspectral imaging is one of the most promising techniques for intraoperative tissue characterisation. Snapshot mosaic cameras, …
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