Results 71 to 80 of about 5,430,126 (385)
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
An expression recognition algorithm based on convolution neural network and RGB-D Images
Aiming at the problem of recognition effect is not stable when 2D facial expression recognition in the complex illumination and posture changes. A facial expression recognition algorithm based on RGB-D dynamic sequence analysis is proposed. The algorithm
binghua HE +5 more
doaj +1 more source
Automatic 3D facial model and texture reconstruction from range scans [PDF]
This paper presents a fully automatic approach to fitting a generic facial model to detailed range scans of human faces to reconstruct 3D facial models and textures with no manual intervention (such as specifying landmarks).
B. Allen +20 more
core +1 more source
The Effect of the Ensemble Average of Facial Expressions on Subsequent Facial Expression Recognition [PDF]
AbstractAn ensemble or statistical summary can be extracted from facial expressions presented in different spatial locations simultaneously. However, how such complicated objects are represented in the mind is not clear. It is known that the aftereffect of facial expressions, in which prolonged viewing of facial expressions biases the perception of ...
Kazusa Minemoto +2 more
openaire +3 more sources
Going deeper in facial expression recognition using deep neural networks [PDF]
Automated Facial Expression Recognition (FER) has remained a challenging and interesting problem in computer vision. Despite efforts made in developing various methods for FER, existing approaches lack generalizability when applied to unseen images or ...
A. Mollahosseini, David Chan, M. Mahoor
semanticscholar +1 more source
Single‐cell insights into the role of T cells in B‐cell malignancies
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +1 more source
Facial expression analysis aims to understand human emotions by analyzing visual face information and is a popular topic in the computer vision community. In educational research, the analyzed students’ affect states can be used by faculty members
Bei Fang +3 more
doaj +1 more source
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
The Identification of Unfolding Facial Expressions [PDF]
We asked whether the identification of emotional facial expressions (FEs) involves the simultaneous perception of the facial configuration or the detection of emotion-specific diagnostic cues. We recorded at high speed (500 frames s−1) the unfolding of the FE in five actors, each expressing six emotions (anger, surprise, happiness, disgust, fear ...
Susanna Schmidt +3 more
openaire +5 more sources
To investigate the interaction between facial expressions and facial gender information during face perception, the present study matched the intensities of the two types of information in face images and then adopted the orthogonal condition of the ...
Chengwei Liu +6 more
doaj +1 more source

