446 citations · 2.3k across the 135 of their papers we have counts for
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Dynamic Scene Graph Representation for Surgical Video
Felix Holm, Ghazal Ghazaei, Tobias Czempiel +3
Surgical videos captured from microscopic or endoscopic imaging devices are rich but complex sources of information, depicting different tools and anatomical structures utilized du…
AiAReSeg: Catheter Detection and Segmentation in Interventional Ultrasound using Transformers
Alex Ranne, Yordanka Velikova, Nassir Navab +1
To date, endovascular surgeries are performed using the golden standard of Fluoroscopy, which uses ionising radiation to visualise catheters and vasculature. Prolonged Fluoroscopic…
Multi-Modal Dataset Acquisition for Photometrically Challenging Object
HyunJun Jung, Patrick Ruhkamp, Nassir Navab +1
This paper addresses the limitations of current datasets for 3D vision tasks in terms of accuracy, size, realism, and suitable imaging modalities for photometrically challenging ob…
WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-guided Procedures
Ardit Ramadani, Peter Ewert, Heribert Schunkert +1
Accurate catheter tracking is crucial during minimally invasive endovascular procedures (MIEP), and electromagnetic (EM) tracking is a widely used technology that serves this purpo…
Robotic Ultrasound Imaging: State-of-the-Art and Future Perspectives
Zhongliang Jiang, Septimiu E. Salcudean, Nassir Navab
Ultrasound (US) is one of the most widely used modalities for clinical intervention and diagnosis due to the merits of providing non-invasive, radiation-free, and real-time images.…
A Large-Scale Feasibility Study of Screen-based 3D Visualization and Augmented Reality Tools for Human Anatomy Education: Exploring Gender Perspectives in Learning Experience
Roghayeh Leila Barmaki, Kangsoo Kim, Zhang Guo +4
Anatomy education is an indispensable part of medical training, but traditional methods face challenges like limited resources for dissection in large classes and difficulties unde…
On the Importance of Patient Acceptance for Medical Robotic Imaging
Christine Eilers, Rob van Kemenade, Benjamin Busam +1
Purpose: Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical rob…
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning
Walter A. Simson, Magdalini Paschali, Vasiliki Sideri-Lampretsa +2
Ultrasound is an adjunct tool to mammography that can quickly and safely aid physicians with diagnosing breast abnormalities. Clinical ultrasound often assumes a constant sound spe…
KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation
Masahiro Oda, Kazuhiro Furukawa, Nassir Navab +1
We propose a spatio-temporal mixing kinematic data estimation method to estimate the shape of the colon with deformations caused by colonoscope insertion. Endoscope tracking or a n…
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging
Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers +3
We present a physics-enhanced implicit neural representation (INR) for ultrasound (US) imaging that learns tissue properties from overlapping US sweeps. Our proposed method leverag…