The Experts below are selected from a list of 20097 Experts worldwide ranked by ideXlab platform
Bohdan Pomahac - One of the best experts on this subject based on the ideXlab platform.
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Facial Appearance transfer and persistence after three dimensional virtual face transplantation
Plastic and Reconstructive Surgery, 2013Co-Authors: Akash A. Chandawarkar, Ericka M. Bueno, Camille K. Jania, Nathanael D. Hevelone, Stuart R. Lipsitz, Edward J. Caterson, Srinivasan Mukundan, Rodrigo J Diazsiso, Bohdan PomahacAbstract:BACKGROUND Facial Appearance transfer (FAT) from donor to recipient in face transplantation is a concern. Previous studies of FAT and Facial Appearance Persistence (FAP, preservation of Recipient’s Facial likeness) in face transplants simulated using two-dimensional photograph manipulations found low FAT (2.6%) and high FAP (66%). Three-dimensional computer simulation of complex Facial transplant patterns may improve the accuracy of FAT and FAP estimations.
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Facial Appearance transfer and persistence after three-dimensional virtual face transplantation.
Plastic and reconstructive surgery, 2013Co-Authors: Akash A. Chandawarkar, J. Rodrigo Diaz-siso, Ericka M. Bueno, Camille K. Jania, Nathanael D. Hevelone, Stuart R. Lipsitz, Edward J. Caterson, Srinivasan Mukundan, Bohdan PomahacAbstract:Background:Facial Appearance transfer from donor to recipient in face transplantation is a concern. Previous studies of Facial Appearance transfer and Facial Appearance persistence (preservation of the recipient’s Facial likeness) in face transplants simulated using two-dimensional photographic mani
Wen Gao - One of the best experts on this subject based on the ideXlab platform.
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head yaw estimation from asymmetry of Facial Appearance
Systems Man and Cybernetics, 2008Co-Authors: Shiguang Shan, Xilin Chen, Wen GaoAbstract:This paper proposes a novel method to estimate the head yaw rotations based on the asymmetry of 2-D Facial Appearance. In traditional Appearance-based pose estimation methods, features are typically extracted holistically by subspace analysis such as principal component analysis, linear discriminant analysis (LDA), etc., which are not designed to directly model the pose variations. In this paper, we argue and reveal that the asymmetry in the intensities of each row of the face image is closely relevant to the yaw rotation of the head and, at the same time, evidently insensitive to the identity of the input face. Specifically, to extract the asymmetry information, 1-D Gabor filters and Fourier transform are exploited. LDA is further applied to the asymmetry features to enhance the discrimination ability. By using the simple nearest centroid classifier, experimental results on two multipose databases show that the proposed features outperform other features. In particular, the generalization of the proposed asymmetry features is verified by the impressive performance when the training and the testing data sets are heterogeneous.
Akash A. Chandawarkar - One of the best experts on this subject based on the ideXlab platform.
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Facial Appearance transfer and persistence after three dimensional virtual face transplantation
Plastic and Reconstructive Surgery, 2013Co-Authors: Akash A. Chandawarkar, Ericka M. Bueno, Camille K. Jania, Nathanael D. Hevelone, Stuart R. Lipsitz, Edward J. Caterson, Srinivasan Mukundan, Rodrigo J Diazsiso, Bohdan PomahacAbstract:BACKGROUND Facial Appearance transfer (FAT) from donor to recipient in face transplantation is a concern. Previous studies of FAT and Facial Appearance Persistence (FAP, preservation of Recipient’s Facial likeness) in face transplants simulated using two-dimensional photograph manipulations found low FAT (2.6%) and high FAP (66%). Three-dimensional computer simulation of complex Facial transplant patterns may improve the accuracy of FAT and FAP estimations.
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Facial Appearance transfer and persistence after three-dimensional virtual face transplantation.
Plastic and reconstructive surgery, 2013Co-Authors: Akash A. Chandawarkar, J. Rodrigo Diaz-siso, Ericka M. Bueno, Camille K. Jania, Nathanael D. Hevelone, Stuart R. Lipsitz, Edward J. Caterson, Srinivasan Mukundan, Bohdan PomahacAbstract:Background:Facial Appearance transfer from donor to recipient in face transplantation is a concern. Previous studies of Facial Appearance transfer and Facial Appearance persistence (preservation of the recipient’s Facial likeness) in face transplants simulated using two-dimensional photographic mani
Charles I Scott - One of the best experts on this subject based on the ideXlab platform.
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apparently new syndrome of congenital cataracts sensorineural deafness down syndrome like Facial Appearance short stature and mental retardation
American Journal of Medical Genetics, 1996Co-Authors: Karen W Gripp, Linda Nicholson, Charles I ScottAbstract:We describe a previously unrecognized syndrome in two unrelated patients with congenital cataracts, sensorineural deafness, distinctive Facial Appearance, skeletal changes, postnatal short stature, and mental retardation.
Katia Mattarozzi - One of the best experts on this subject based on the ideXlab platform.
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Judging health care priority in emergency situations: Patient Facial Appearance matters.
Social science & medicine (1982), 2020Co-Authors: Arianna Bagnis, Ernesto Caffo, Carlo Cipolli, Alessandra De Palma, Gabriele Farina, Katia MattarozziAbstract:Abstract Rationale Extensive research has shown that implicit trait inferences from Facial Appearance can bias everyday life in a pervasive way, influencing our decisions in different social contexts such as mate choice, political vote and criminal sentence. In situations characterized by time pressure and scant information, decisions based on inferences from Facial Appearance may have particularly critical and serious consequences, such as in emergency healthcare. No studies today have investigated this aspect in an actual emergency. Objective The aim of the present study was to go beyond this gap and to determine whether implicit inferences from patients’ Facial Appearance could be predictive of disparities in clinical evaluations and priority of treatment. Methods: In total, 183 cases of patients were evaluated by independent judges at zero acquaintance on the basis of different implicit Facial Appearance-based inferences, including trustworthiness and distress. Color-based priority code (White, Green, or Yellow) attributed by the triage nurse at the end of the registration process were recorded. Results Our results showed that more trustworthy- and distressed- looking patients' faces have been associated with a higher priority code. Conclusions The present study shows that specific Facial Appearance-based inferences influence the attribution of priority code in healthcare that require quick decisions based on scarce clinical information such as in emergency. These results suggest the importance to bring to the attention of the healthcare professionals’ the possibility of being victims of implicit inferences, and prompt to design educational interventions capable to increase their awareness of this bias in clinical evaluation.
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Pain and satisfaction: healthcare providers’ Facial Appearance matters
Psychological Research, 2020Co-Authors: Katia Mattarozzi, Elisa Caponera, Paolo Maria Russo, Valentina Colonnello, Margherita Bassetti, Elena Farolfi, Alexander TodorovAbstract:Trait inferences based solely on Facial Appearance affect many social decisions. Here we tested whether the effects of such inferences extend to the perception of physical sensations. In an actual clinical setting, we show that healthcare providers’ Facial Appearance is a strong predictor of pain experienced by patients during a medical procedure. The effect was specific to familiarity: Facial features of healthcare providers that convey feelings of familiarity were associated with a decrease in patients’ perception of pain. In addition, caring Appearance of the healthcare providers was significantly related to patients’ satisfaction with the care they received. Besides indicating that rapid, unreflective trait inferences from Facial Appearance may affect important healthcare outcomes, these findings contribute to the understanding of the mechanisms underlying social modulation of pain perception.
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Emotion recognition in medical students: effects of Facial Appearance and care schema activation.
Medical education, 2018Co-Authors: Valentina Colonnello, Katia Mattarozzi, Paolo Maria RussoAbstract:CONTEXT Identifying the factors that may interfere with or sharpen the ability to recognise emotions when observing patients is a critical goal in medical education. This study addressed these issues by investigating the effects of Facial Appearance bias on medical students' emotion recognition (Experiment 1) and whether such bias is modulated by the activation of relational caregiving schema (Experiment 2). METHODS In Experiment 1, medical students were asked to recognise the emotions expressed by individuals differing in Facial Appearance (trustworthy, neutral and untrustworthy). In Experiment 2, they completed the same type of emotion recognition task after activating and anchoring themselves to the representation of the relational/human competences typical of a competent professional caregiver or after a control non-representation condition. RESULTS In both experiments, emotion recognition was affected by Facial Appearance bias: medical students were less accurate and slower in their recognition of emotions displayed by untrustworthy-looking individuals than in their recognition of emotions exhibited by individuals evoking more positive inferences. In Experiment 2, the activation of care schema enhanced medical students' emotion recognition ability regardless of Facial Appearance-based inferences. CONCLUSIONS Medical students' emotion recognition is affected by Appearance-based bias, but such bias may be weakened by techniques that harness medical students' personal affective/relational and representational resources. Thus, the results provide a basis for designing curricula aimed at challenging implicit negative bias and promoting medical students' emotion recognition ability starting in the early stages of their education.
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I care, even after the first impression: Facial Appearance-based evaluations in healthcare context
Social science & medicine (1982), 2017Co-Authors: Katia Mattarozzi, Valentina Colonnello, Francesco De Gioia, Alexander TodorovAbstract:Prior research has demonstrated that healthcare providers' implicit biases may contribute to healthcare disparities. Independent research in social psychology indicates that Facial Appearance-based evaluations affect social behavior in a variety of domains, influencing political, legal, and economic decisions. Whether and to what extent these evaluations influence approach behavior in healthcare contexts warrants research attention. Here we investigate the impact of Facial Appearance-based evaluations of trustworthiness on healthcare providers’ caring inclination, and the moderating role of experience and information about the social identity of the faces.
