Ultrasound imaging is highly operator-dependent, motivating robotic systems that reproduce expert scanning skills consistently. These skills involve coordinated interpretation of anatomical landmarks, ultrasound images, and probe-tissue interactions that are difficult to encode in hand-designed control strategies. Imit...
Yuan-Wei Bi, F. Han, Ye-Hao Su et al.· 0 citations
Physically-based differentiable rendering enables gradient-based optimization of scene parameters by matching rendered images to measurements, but has so far mainly focused on light transport. We extend this paradigm to medical ultrasound, where image formation resembles transient rendering: echoes are binned by time-o...
F. Duelmer, Magdalena Wysocki, N. Navab et al.· 0 citations
Slice-to-volume registration between ultrasound (US) and preoperative computed tomography (CT) imaging would enhance many minimally invasive interventions, for example by locating soft tissue structures intra-operatively that are discernible in CT. While optical tracking enables initial rigid registration, contact from...
Agnieszka Lach, Magdalena Wysocki, Feng Li et al.· 0 citations
Visceral artery aneurysm (VAA) screening on non-contrast CT (NCCT) is fundamentally a structure-constrained representation learning problem under weak vascular contrast. In NCCT, visceral arteries lack explicit lumen enhancement, and aneurysms often appear only as subtle local dilatations embedded in thin and branching...
Zhuo-Wei Xu, Tian-Yi Liu, Long Bai et al.· Medical Image Analysis· 0 citations
This paper presents SurgTPGS++, a novel Gaussian Splatting pipeline for text-promptable 3D surgical scene understanding, and introduces a semantic feature aggregation (SFA) strategy that extracts and integrates rich vision-language features from VLMs.
Yi-Ming Huang, Long Bai, Bei-Lei Cui et al.· Medical Image Analysis· 0 citations
The proposed multimodal framework replaces manual dietary logging with image-derived macronutrient estimates and integrates them with clinical variables and gut microbiome information for personalized PPGR prediction, and outperforms existing PPGR baselines using image-derived nutritional inputs.
V. Kondratyeva, Kamilia Zaripova, N. Navab et al.· 0 citations
HPOQuest substantially improves diagnosis from sparse initial phenotypes, with gains of up to 30% points at Recall@1 and 45% points at Recall@5, demonstrating that sequential phenotype acquisition can substantially improve rare-disease diagnosis from limited initial clinical evidence.
Kamilia Zaripova, N. Navab, Azade Farshad et al.· 0 citations
A handheld, robotic steerable catheter system that has the potential to shorten the length of future endovascular surgeries, and give clinicians the tools to resolve challenging clinical cases is presented.
Alex Ranne, Jin-Shi Zhao, A. Demircali et al.· arXiv.org· 0 citations
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