446 citations · 2.3k across the 135 of their papers we have counts for
157 papers
Real-time guidewire tracking and segmentation in intraoperative x-ray
Baochang Zhang, Mai Bui, Cheng Wang +3
During endovascular interventions, physicians have to perform accurate and immediate operations based on the available real-time information, such as the shape and position of guid…
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…
Complementary Textures. A Novel Approach to Object Alignment in Mixed Reality
Alejandro Martin-Gomez, Alexander Winkler, Rafael de la Tijera Obert +4
Alignment between real and virtual objects is a challenging task required for the deployment of Mixed Reality (MR) into manufacturing, medical, and construction applications. To fa…
A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening
Matthias Seibold, Bastian Sigrist, Tobias Götschi +6
There is an unmet clinical need for developing novel methods to complement and replace the current radiation-emitting imaging-based methods for the detection of loose pedicle screw…
Precise Repositioning of Robotic Ultrasound: Improving Registration-based Motion Compensation using Ultrasound Confidence Optimization
Zhongliang Jiang, Nehil Danis, Yuan Bi +4
Robotic ultrasound (US) imaging has been seen as a promising solution to overcome the limitations of free-hand US examinations, i.e., inter-operator variability. However, the fact…
STTAR: Surgical Tool Tracking using off-the-shelf Augmented Reality Head-Mounted Displays
Alejandro Martin-Gomez, Haowei Li, Tianyu Song +6
The use of Augmented Reality (AR) for navigation purposes has shown beneficial in assisting physicians during the performance of surgical procedures. These applications commonly re…
CACTUSS: Common Anatomical CT-US Space for US examinations
Yordanka Velikova, Walter Simson, Mehrdad Salehi +3
Abdominal aortic aneurysm (AAA) is a vascular disease in which a section of the aorta enlarges, weakening its walls and potentially rupturing the vessel. Abdominal ultrasound has b…
Speckle2Speckle: Unsupervised Learning of Ultrasound Speckle Filtering Without Clean Data
Rüdiger Göbl, Christoph Hennersperger, Nassir Navab
In ultrasound imaging the appearance of homogeneous regions of tissue is subject to speckle, which for certain applications can make the detection of tissue irregularities difficul…
Spotlight on nerves: Portable multispectral optoacoustic imaging of peripheral nerve vascularization and morphology
Dominik Jüstel, Hedwig Irl, Florian Hinterwimmer +5
Various morphological and functional parameters of peripheral nerves and their vascular supply are indicative of pathological changes due to injury or disease. Based on recent impr…
Shape-Aware Masking for Inpainting in Medical Imaging
Yousef Yeganeh, Azade Farshad, Nassir Navab
Inpainting has recently been proposed as a successful deep learning technique for unsupervised medical image model discovery. The masks used for inpainting are generally independen…
Bioelectric Registration of Electromagnetic Tracking and Preoperative Volume Data
Ardit Ramadani, Heiko Maier, Felix Bourier +4
For minimally invasive endovascular surgery, the localization of catheters and guidewires inside the human body is essential. Electromagnetic (EM) tracking is one technology that a…
PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
Matteo Ronchetti, Julia Rackerseder, Maria Tirindelli +4
We propose a novel method to automatically calibrate tracked ultrasound probes. To this end we design a custom phantom consisting of nine cones with different heights. The tips are…
Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine
Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti +9
CT and MRI are two of the most informative modalities in spinal diagnostics and treatment planning. CT is useful when analysing bony structures, while MRI gives information about t…
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation
Azade Farshad, Yousef Yeganeh, Peter Gehlbach +1
Automated segmentation of retinal optical coherence tomography (OCT) images has become an important recent direction in machine learning for medical applications. We hypothesize th…
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport
Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo +3
Shape matching has been a long-studied problem for the computer graphics and vision community. The objective is to predict a dense correspondence between meshes that have a certain…