Results 191 to 200 of about 2,853 (274)

Visual Ensemble Analysis With Deep Learning Prediction for Studying the Effect of Tissue Properties on Radiofrequency Ablation

Computer Graphics Forum, EarlyView.
We present an interactive visual analysis tool to study how patient‐specific tissue properties influence radiofrequency ablation outcomes. Using a deep‐learning surrogate model, we predict ablation volumes for unseen parameter settings with accuracy superior to interpolation, supporting improved treatment planning. Abstract Radiofrequency (RF) ablation
R. Sabbagh Gol, M. Evers, K. Heimes, T. Gerrits, S. Gyawali, D. Sinden, T. Preusser, L. Linsen   +7 more
wiley   +1 more source

An Arthroscopic Robotic System for Meniscoplasty with Autonomous Operation Ability. [PDF]

Bioengineering (Basel)
Zhang Z, Zhao Y, Zhao B, Yu G, Zhang P, Wang Q, Yang X.   +6 more
europepmc   +1 more source

CLusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks

Computer Graphics Forum, EarlyView.
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci, Annika Bonerath, Walter Didimo, Henry Förster, Seok‐Hee Hong, Maria Eleni Pavlidi, Alessandra Tappini   +6 more
wiley   +1 more source

313 Manipulation of a pneumatic hyper-redundant actuator

The Proceedings of the Dynamics & Design Conference, 2010
Hisashi DATE, Yoshihiro TAKITA
openaire   +2 more sources

Anchor Flow Maps: Efficient Sampling and Approximation of the Entire Flow Map

Computer Graphics Forum, EarlyView.
Abstract Flow maps are a fundamental concept for the visualization and analysis of time‐dependent flows. A common approach is to apply sampling and reconstruction – which comes with a number of problems: flow maps are high‐dimensional functions with locally large gradients which makes approximations very challenging.
D. Stelter, T. Wilde, C. Rössl, H. Theisel   +3 more
wiley   +1 more source

Survey on Visualization of Information Diffusion over Networks

Computer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl, M. Sondag, V. Filipov, M. Tuscher, S. Rajendran, S. Miksch, D. Archambault, A. Arleo, T. von Landesberger   +8 more
wiley   +1 more source

Towards Clinical Trial Readiness: Optimization of a Parallel Robot for Lower Limb Rehabilitation. [PDF]

Bioengineering (Basel)
Tucan P, Vanta OM, Horsia A, Zima I, Lupu DM, Vaida C, Jucan D, Machado J, Pisla D.   +8 more
europepmc   +1 more source

Trajectory optimization for redundant/hyper redundant manipulators

International Journal of ADVANCED AND APPLIED SCIENCES, 2017
Kagan Koray Ayten, Ahmet Dumlu
openaire   +1 more source

A qualitative enquiry into the lived experiences of women with type 1 diabetes using closed‐loop insulin delivery in pregnancy in the CIRCUIT trial

Diabetic Medicine, EarlyView.
Abstract Aims This qualitative inquiry aimed to explore the lived experiences of pregnant women with self‐management of type 1 diabetes (T1D) using closed‐loop insulin delivery in the CIRCUIT trial9 to provide a qualitative overview of its impacts and improve the understanding of T1D experiences in pregnancy. Methods We used semi‐structured, individual
J. Hirtle, N. Goraya, A. Dunlop, J. Booth, D. S. Feig, J. Yamamoto, L. E. Donovan, K. H. Chaput, For the CIRCUIT Collaborative Group   +8 more
wiley   +1 more source

Recent advances in Rapidly-exploring random tree: A review. [PDF]

Heliyon
Xu T.
europepmc   +1 more source