Results 121 to 130 of about 192,375 (290)

Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations [PDF]

arXiv
Part-aware panoptic segmentation (PPS) requires (a) that each foreground object and background region in an image is segmented and classified, and (b) that all parts within foreground objects are segmented, classified and linked to their parent object.
arxiv  

Near-Earth objects as principal impactors of the Earth: Physical properties and sources of origin [PDF]

, 2006
Dimitrij F. Lupishko, M. Di Martino, Richard P. Binzel   +2 more
openalex   +1 more source

The effect of multi‐leaf collimator leaf width on VMAT treatment plan quality

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The advent of volumetric modulated arc therapy (VMAT) in radiotherapy has made it one of the most commonly used techniques in clinical practice. VMAT is the delivery of intensity modulated radiation therapy (IMRT) while the gantry is in motion, and existing literature has shown it has decreased treatment delivery times and the ...
Gregory Sadharanu Peiris, Brendan Whelan, Nicholas Hardcastle, Suzie Lynn Sheehy   +3 more
wiley   +1 more source

Multicriteria Comparison Among Several Mitigation Strategies for Dangerous Near-Earth Objects [PDF]

, 2008
Joan-Pau Sanchez Cuartielles, Camilla Colombo, Massimiliano Vasile, G. Radice   +3 more
openalex   +1 more source

From 2D to 3D gamma passing rate tolerance and action limits for patient‐specific quality assurance in volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros, George Patatoukas, Nikos Kollaros, Marina Chalkia, Andromachi Kougioumtzopoulou, Vasilios Kouloulias, Kalliopi Platoni   +6 more
wiley   +1 more source

Learning Global Object-Centric Representations via Disentangled Slot Attention [PDF]

arXiv
Humans can discern scene-independent features of objects across various environments, allowing them to swiftly identify objects amidst changing factors such as lighting, perspective, size, and position and imagine the complete images of the same object in diverse settings.
arxiv  

Semi-Analytical Solution for the Optimal Low-Thrust Deflection of Near-Earth Objects [PDF]

, 2009
Camilla Colombo, Massimiliano Vasile, Gianmarco Radice   +2 more
openalex   +1 more source

Does dose calculation algorithm affect the dosimetric accuracy of synthetic CT for MR‐only radiotherapy planning in brain tumors?

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui, Francis K. H. Lee, C. C. Law, James C. H. Chow   +3 more
wiley   +1 more source

NEOWISE Data Processing and Color Corrections for Near-Earth Asteroid Observations

The Planetary Science Journal
The Wide-field Infrared Survey Explorer and NEOWISE missions are a key source of thermal data for near-Earth asteroids (NEAs). These missions, which utilized a space-based platform in Earth orbit, produced thermal images across four different wavelength ...
Samuel A. Myers, Ellen S. Howell, Yanga R. Fernández, Sean E. Marshall, Christopher Magri, Ronald J. Vervack Jr., Mary L. Hinkle   +6 more
doaj   +1 more source

Subsurface momentum coupling analysis for near-earth-object orbital management

, 1995
John L. Remo, Pasquale M. Sforza
openalex   +1 more source