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Found 5 papers, 2 papers with code
End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention
In this paper, we present FW-Net, an end-to-end and real-time deep learning framework for endovascular intervention.
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
3D shape instantiation which reconstructs the 3D shape of a target from limited 2D images or projections is an emerging technique for surgical intervention.
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair
The current standard of intra-operative navigation during Fenestrated Endovascular Aortic Repair (FEVAR) calls for need of 3D alignments between inserted devices and aortic branches.
Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects
In this paper, the AAA was segmented using U-net with a small number (two) of training subjects.
Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for Fenestrated Stent Graft Deployment
Currently, this process is guided by 2D fluoroscopy, which is uninformative and error prone.
