3 citations · 7 across the 16 of their papers we have counts for
6 papers · 1 filter
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer
Xinyuan Shao, Yiqing Shen, Mathias Unberath
Segment Anything Models (SAMs) have gained increasing attention in medical image analysis due to their zero-shot generalization capability in segmenting objects of unseen classes a…
An Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models
Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel +7
Purpose: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to co…
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video
Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel +9
Generating accurate 3D reconstructions from endoscopic video is a promising avenue for longitudinal radiation-free analysis of sinus anatomy and surgical outcomes. Several methods…
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning
Nathan Drenkow, Mathias Unberath
Object-centric representation learning offers the potential to overcome limitations of image-level representations by explicitly parsing image scenes into their constituent compone…
Automated Artifact Detection in Ultra-widefield Fundus Photography of Patients with Sickle Cell Disease
Anqi Feng, Dimitri Johnson, Grace R. Reilly +5
Importance: Ultra-widefield fundus photography (UWF-FP) has shown utility in sickle cell retinopathy screening; however, image artifact may diminish quality and gradeability of ima…
Task-based Generation of Optimized Projection Sets using Differentiable Ranking
Linda-Sophie Schneider, Mareike Thies, Christopher Syben +3
We present a method for selecting valuable projections in computed tomography (CT) scans to enhance image reconstruction and diagnosis. The approach integrates two important factor…