1 citations · 3 across the 10 of their papers we have counts for
5 papers · 1 filter
SurgStreamer: proactive, request-driven monitoring of surgical video streams with structured state and a reusable reasoning layer
Bowen Xiang, Jon S. Heiselman, Michael I. Miga
Surgical teams could benefit from assistants that watch the video for requested events, such as "tell me when the clip applier appears during Calot triangle dissection", and answer…
Marker-free deformable registration and fusion for augmented reality-guided positive margin localization during tumor resection surgery
Yue Yang, Annie Benson, Matthieu Chabanas +7
Positive margins in head and neck oncologic surgery require mapping specimen-side pathology findings to the patient resection bed. This is challenging because pathologists identify…
MeiBRD: Meta-Learning Intraoperative Biomechanical Residual Deformation
Casey Meisenzahl, Jon Heiselman, Michael Holtz +3
Accurate intraoperative liver registration is challenging due to substantial soft-tissue deformation yet sparse intraoperative measurements. Biomechanical models regularize this il…
SurgFormer: Scalable Learning of Organ Deformation with Resection Support and Real-Time Inference
Ashkan Shahbazi, Elaheh Akbari, Kyvia Pereira +7
We introduce SurgFormer, a multiresolution gated transformer for data driven soft tissue simulation on volumetric meshes. High fidelity biomechanical solvers are often too costly f…
Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery with Patches-to-Partial Matching
Zixin Yang, Jon S. Heiselman, Cheng Han +3
In image-guided liver surgery, the initial rigid alignment between preoperative and intraoperative data, often represented as point clouds, is crucial for providing sub-surface inf…