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Journal of Imaging, 2022 Three decades after the first set of work on Medical Augmented Reality (MAR) was presented to the international community, and ten years after the deployment of the first MAR solutions into operating rooms, its exact definition, basic components ...
Nassir Navab +7 more
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Guidelines for Research Ethics and Research Integrity in Citizen Science [PDF]
Research Ideas and Outcomes, 2022 Students and researchers might have diverse ideas about and motivations for citizen science (CS) projects. To prevent uncertainty, we address ethical concerns emerging in CS projects and in CS in general, specifically, the transferability of the ethical ...
Eglė Ozolinčiūtė +6 more
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Mini-David procedure. Procedural considerations
Polish Journal of Cardio-Thoracic Surgery, 2022 The main goal of minimally invasive surgery is to reduce the perioperative trauma, accelerate patient mobilization and reduce the length of hospital stay. Due to the development of modern technology, these treatments can be offered to a wider group of patients.
Jakub Staromłyński +8 more
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Sonification as a reliable alternative to conventional visual surgical navigation
Scientific Reports, 2023 Despite the undeniable advantages of image-guided surgical assistance systems in terms of accuracy, such systems have not yet fully met surgeons’ needs or expectations regarding usability, time efficiency, and their integration into the surgical workflow.
Sasan Matinfar +9 more
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The use of a vascular patch CorMatrix ECM® for reconstruction of carotid arteries in the treatment of postoperative wound infection [PDF]
Srpski Arhiv za Celokupno Lekarstvo, 2019 Introduction. Operation site infection after carotid endarterectomy is a rare, but potentially fatal complication. The aim of this paper was to present two cases of using CorMatrix ECMR patch for reconstruction of a damaged artery in the course of an ...
Janczak Dariusz +5 more
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ROAM: Random layer mixup for semi‐supervised learning in medical images
IET Image Processing, 2022 Medical image segmentation is one of the major challenges addressed by machine learning methods. However, these methods profoundly depend on a large amount of annotated data, which is expensive and time‐consuming.
Tariq Bdair +3 more
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Multimodal graph attention network for COVID-19 outcome prediction
Scientific Reports, 2023 When dealing with a newly emerging disease such as COVID-19, the impact of patient- and disease-specific factors (e.g., body weight or known co-morbidities) on the immediate course of the disease is largely unknown.
Matthias Keicher +9 more
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Chromosome Cluster Type Identification Using a Swin Transformer
Applied Sciences, 2023 The analysis of chromosome karyotypes is crucial for diagnosing genetic disorders such as Patau syndrome, Edward syndrome, and Down syndrome. Chromosome cluster type identification is a key step in the automated analysis of chromosome karyotypes.
Indu Joshi +2 more
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F1000Research, 2017 Ensemble methods have been successfully applied in a wide range of scenarios, including survival analysis. However, most ensemble models for survival analysis consist of models that all optimize the same loss function and do not fully utilize the ...
Sebastian Pölsterl +5 more
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Real-Time 3D Reconstruction Pipeline for Room-Scale, Immersive, Medical Teleconsultation
Applied Sciences, 2023 Medical teleconsultation was among the initial use cases for early telepresence research projects since medical treatment often requires timely intervention by highly specialized experts. When remote medical experts support interventions, a holistic view
Ulrich Eck +5 more
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