Results 51 to 60 of about 60,130 (279)
Distinguishing Posed and Spontaneous Smiles by Facial Dynamics
Smile is one of the key elements in identifying emotions and present state of mind of an individual. In this work, we propose a cluster of approaches to classify posed and spontaneous smiles using deep convolutional neural network (CNN) face features ...
B Mandal +24 more
core +1 more source
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon +9 more
wiley +1 more source
Spontaneous Subtle Expression Detection and Recognition based on Facial Strain
Optical strain is an extension of optical flow that is capable of quantifying subtle changes on faces and representing the minute facial motion intensities at the pixel level.
Liong, Sze-Teng +6 more
core +1 more source
Facial micro-expression recognition: A machine learning approach
يعد التعرف على التعبير الدقيق مجالًا بحثيًا متزايدًا نظرًا لتطبيقه في الكشف عن النية الخفية للبشر، خاصةً في ظل ظروف عالية المخاطر. مع الزيادة السريعة في القضايا الأمنية في جميع أنحاء العالم، حظي استخدام التعبيرات الدقيقة لفهم الحالة الذهنية للفرد باهتمام كبير.
Iyanu Pelumi Adegun, Hima Vadapalli
openaire +2 more sources
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
In the recent year, state-of-the-art for facial micro-expression recognition have been significantly advanced by deep neural networks. The robustness of deep learning has yielded promising performance beyond that of traditional handcrafted approaches ...
Gan, Y. S. +4 more
core +1 more source
Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM
ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina +11 more
wiley +1 more source
FM-GCN: Spatio-Temporal Graph Neural Network for Gender Recognition Using Facial Micro-Expressions
Gender recognition from facial images is challenging due to subtle discriminative features, particularly micro-expressions—brief, involuntary facial movements that exhibit gender-specific patterns but are difficult to capture with conventional ...
Mingjun Wang, Yuan Xiong, Meiliang Wang
doaj +1 more source
Micro-expressions are fleeting and subtle emotional expressions. As they are spontaneous and uncontrollable by one’s mind, micro-expressions are considered an indicator of genuine emotions.
Yue Ge +16 more
doaj +1 more source
Less is More: Micro-expression Recognition from Video using Apex Frame
Despite recent interest and advances in facial micro-expression research, there is still plenty room for improvement in terms of micro-expression recognition. Conventional feature extraction approaches for micro-expression video consider either the whole
Liong, Sze-Teng +3 more
core +1 more source

