Results 41 to 50 of about 609,343 (292)
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson +3 more
wiley +1 more source
Macroscale multimodal imaging reveals ancient painting production technology and the vogue in Greco-Roman Egypt. [PDF]
Macroscale multimodal chemical imaging combining hyperspectral diffuse reflectance (400-2500 nm), luminescence (400-1000 nm), and X-ray fluorescence (XRF, 2 to 25 keV) data, is uniquely equipped for noninvasive characterization of heterogeneous complex ...
Delaney, John K +3 more
core +2 more sources
Integration of Multimodal Data
AbstractThis chapter focuses on the joint modeling of heterogeneous information, such as imaging, clinical, and biological data. This kind of problem requires to generalize classical uni- and multivariate association models to account for complex data structure and interactions, as well as high data dimensionality.Typical approaches are essentially ...
Lorenzi, Marco +4 more
openaire +2 more sources
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
A Fast hierarchical traversal strategy for multimodal visualization [PDF]
In the last years there is a growing demand of multimodal medical rendering systems able to visualize simultaneously data coming from different sources.
Ferré Bergadà, Maria +2 more
core +1 more source
LRMM: Learning to Recommend with Missing Modalities
Multimodal learning has shown promising performance in content-based recommendation due to the auxiliary user and item information of multiple modalities such as text and images.
Li, Hui, Niepert, Mathias, Wang, Cheng
core +1 more source
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
Model for Determining the Psycho-Emotional State of a Person Based on Multimodal Data Analysis
The paper aims to develop an information system for human emotion recognition in streaming data obtained from a PC or smartphone camera, using different methods of modality merging (image, sound and text).
Nataliya Shakhovska +2 more
doaj +1 more source
Action Anticipation from Multimodal Data
The idea of multi-sensor data fusion is to combine the data coming from different sensors to provide more accurate and complementary information to solve a specific task. Our goal is to build a shared representation related to data coming from different domains, such as images, audio signal, heart rate, acceleration, etc., in order to anticipate daily ...
ROTONDO, TIZIANA +3 more
openaire +2 more sources
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source

