5 papers
TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound
Pascal Spiegler, Taha Koleilat, Arash Harirpoush +4
Pancreatic cancer carries a poor prognosis and relies on endoscopic ultrasound (EUS) for targeted biopsy and radiotherapy. However, the speckle noise, low contrast, and unintuitive…
AnatomyCarve: A VR occlusion management technique for medical images based on segment-aware clipping
Andrey Titov, Tina N. H. Nantenaina, Marta Kersten-Oertel +1
Visualizing 3D medical images is challenging due to self-occlusion, where anatomical structures of interest can be obscured by surrounding tissues. Existing methods, such as slicin…
Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function
Mehrdad Asadi, Komi Sodoké, Ian J. Gerard +1
In this work, we present a novel approach to multi-label chest X-ray (CXR) image classification that enhances clinical interpretability while maintaining a streamlined, single-mode…
iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings
Zahra Asadi, Joshua Pardillo Castillo, Mehrdad Asadi +2
Global disparities in neurosurgical care necessitate innovations addressing affordability and accuracy, particularly for critical procedures like ventriculostomy. This intervention…
Virtual Reality-Based Preoperative Planning for Optimized Trocar Placement in Thoracic Surgery: A Preliminary Study
Arash Harirpoush, George Rakovich, Marta Kersten-Oertel +1
Video-assisted thoracic surgery (VATS) is a minimally invasive approach for treating early-stage non-small-cell lung cancer. Optimal trocar placement during VATS ensures comprehens…