@article{nouboukpo_multi-scale_2024,

title = {Multi-scale spatial consistency for deep semi-supervised skin lesion segmentation},

author = {A. Nouboukpo and M. L. Allaoui and M. S. Allili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195700182&doi=10.1016%2fj.engappai.2024.108681&partnerID=40&md5=e1cc2b6a1bb0aed530e8c04583c76167},

doi = {10.1016/j.engappai.2024.108681},

issn = {09521976 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Engineering Applications of Artificial Intelligence},

volume = {135},

abstract = {This paper introduces a novel semi-supervised framework, the Multiscale Spatial Consistency Network (MSCNet), for robust semi-supervised skin lesion segmentation. MSCNet uses local and global spatial consistency to leverage a minimal set of labeled data, supplemented by a large number of unlabeled data, to improve segmentation. The model is is based on a single Encoder–Decoder (ED) network, augmented with a Spatially-Constrained Mixture Model (SCMM) to enforce spatial coherence in predictions. To encode the local spatial consistency, a hierarchical superpixel structure is used capture local region context (LRC), bolstering the model capacity to discern fine-grained lesion details. Global consistency is enforced through the SCMM module, which uses a larger context for lesion/background discrimination. In addition, it enables efficient leveraging of the unlabeled data through pseudo-label generation. Experiments demonstrate that the MSCNet outperforms existing state-of-the-art methods in segmenting complex lesions. The MSCNet has an excellent generalization capability, offering a promising direction for semi-supervised medical image segmentation, particularly in scenarios with limited annotated data. The code is available at https://github.com/AdamaTG/MSCNet. © 2024 Elsevier Ltd},

note = {Publisher: Elsevier Ltd},

keywords = {Deep learning, Dermatology, Image segmentation, Lesion segmentations, Medical imaging, Multi-scales, Semi-supervised, Semi-supervised learning, Skin lesion, Skin lesion segmentation, Spatial consistency, Spatially constrained mixture model, Spatially-constrained mixture models, Supervised learning, UNets, Unlabeled data},

pubstate = {published},

tppubtype = {article}

}

@article{stassart_impact_2024,

title = {Impact of Virtual Reality-Delivered Biofeedback and Yoga on Pediatric Headaches: A Pilot Study},

author = {C. Stassart and G. Dupuis and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195584438&doi=10.1037%2fcpp0000521&partnerID=40&md5=292accc02c49dd8e5f1689bde694ce32},

doi = {10.1037/cpp0000521},

issn = {21694826 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Clinical Practice in Pediatric Psychology},

volume = {12},

number = {2},

pages = {157–269},

abstract = {Objectives: This study assessed the feasibility and acceptability of two types of innovative approaches, namely biofeedback-assisted relaxation in virtual reality ([VR]-delivered bio feedback) and yoga in the management of pediatric headaches. The secondary aim was to evaluate the preliminary efficacy of both interventions. Method: Children were randomized to three conditions: waiting list, yoga, and VR-delivered biofeedback. Feasibility was assessed by applicability to the pain problem, and acceptability by attendance (missed ses sions, dropout rate) and the use of learned strategies in everyday life. Preliminary efficacy wasevaluatedwithquestionnaires: frequencyofheadaches, functional disabilities,pain anx iety, and pain catastrophizing. Meanscale scores postintervention and two months afterward were compared with the baseline with repeated-measures analyses of variance and contrast analyses. Results: A total of 46 children were enrolled; 39 completed the questionnaires at the baseline and participated in interventions. Regarding feasibility, the safety of the inter ventions seems demonstrated by the absence or infrequency of headaches during sessions. Regarding acceptability, compliance with the sessions was excellent for VR-delivered bio feedback condition and satisfactory for yoga. Most of the children reported using the strat egies learned in daily life, even after the interventions. Regarding efficacy, participants reported significantly fewer headaches and functional disabilities postintervention and 2 months later. Minimal or noeffects were observed onpain anxietyandpain catastrophizing. Conclusion: This pilot study indicates that VR-delivered biofeedback and yoga exercises may be feasible and acceptable interventions for the treatment of pediatric headaches. © 2024 American Psychological Association},

note = {Publisher: American Psychological Association},

keywords = {Biofeedback, pediatric headaches, virtual reality, yoga},

pubstate = {published},

tppubtype = {article}

}

@article{cipolletta_validation_2024,

title = {Validation of the Italian Version of the Telepresence in Videoconference Scale (TVS) in a Sample of Psychologists and Psychotherapists During the COVID-19 Pandemic},

author = {S. Cipolletta and S. Tomaino and S. Bouchard and M. Berthiaume and G. Manzoni},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195533802&doi=10.1002%2fcpp.3015&partnerID=40&md5=255de2597dc6747136150f331ae970ab},

doi = {10.1002/cpp.3015},

issn = {10633995 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Clinical Psychology and Psychotherapy},

volume = {31},

number = {3},

abstract = {Objective: Telepresence may play a fundamental role in establishing authentic interactions and relationships in online psychological interventions and can be measured by the Telepresence in Videoconference Scale (TVS), which was validated only with patients to date. This post hoc study aimed to validate the Italian version of the TVS with mental health professionals. Method: The Italian TVS was included in an online survey, whose primary aim was to assess the experiences of Italian psychologists and psychotherapists with online interventions during the first wave of the COVID-19 pandemic and was filled in by 296 participants (83.4% females, mean age = 42 years old). Results: Exploratory factor analysis supported the original factor structure only partially because the scale ‘Absorption’ (i.e., the feeling of losing track of time), as it was formulated, did not measure telepresence. Correlations were also explored between the TVS scales and some survey items pertaining to intimacy and emotional closeness to patients, comfort and positive as well as negative experiences with online interventions. Conclusion: The TVS may be a useful tool to measure physical and social telepresence in online interventions, both in patients and in professionals. © 2024 John Wiley & Sons Ltd.},

note = {Publisher: John Wiley and Sons Ltd},

keywords = {adult, coronavirus disease 2019, COVID-19, female, human, Humans, Italy, male, Middle Aged, online psychological interventions, pandemic, Pandemics, procedures, psychology, Psychometrics, psychometry, psychotherapist, Psychotherapists, psychotherapy, questionnaire, reproducibility, Reproducibility of Results, SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2, Surveys and Questionnaires, Telemedicine, telepresence, Validation, videoconference, videoconferencing},

pubstate = {published},

tppubtype = {article}

}

@article{petrin_maternal_2024,

title = {Maternal childhood emotional abuse increases cardiovascular responses to children’s emotional facial expressions},

author = {R. Pétrin and A. Bérubé and É. St-Pierre and C. Blais},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192637581&doi=10.1371%2fjournal.pone.0302782&partnerID=40&md5=c464b30fe7cc5b7b0baaf865fdf1f6de},

doi = {10.1371/journal.pone.0302782},

issn = {19326203 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {PLoS ONE},

volume = {19},

number = {5 May},

abstract = {Parents with a history of childhood maltreatment may be more likely to respond inadequately to their child’s emotional cues, such as crying or screaming, due to previous exposure to prolonged stress. While studies have investigated parents’ physiological reactions to their children’s vocal expressions of emotions, less attention has been given to their responses when perceiving children’s facial expressions of emotions. The present study aimed to determine if viewing facial expressions of emotions in children induces cardiovascular changes in mothers (hypo- or hyper-arousal) and whether these differ as a function of childhood maltreatment. A total of 104 mothers took part in this study. Their experiences of childhood maltreatment were measured using the Childhood Trauma Questionnaire (CTQ). Participants’ electrocardiogram signals were recorded during a task in which they viewed a landscape video (baseline) and images of children’s faces expressing different intensities of emotion. Heart rate variability (HRV) was extracted from the recordings as an indicator of parasympathetic reactivity. Participants presented two profiles: one group of mothers had a decreased HRV when presented with images of children’s facial expressions of emotions, while the other group’s HRV increased. However, HRV change was not significantly different between the two groups. The interaction between HRV groups and the severity of maltreatment experienced was marginal. Results suggested that experiences of childhood emotional abuse were more common in mothers whose HRV increased during the task. Therefore, more severe childhood experiences of emotional abuse could be associated with mothers’ cardiovascular hyperreactivity. Maladaptive cardiovascular responses could have a ripple effect, influencing how mothers react to their children’s facial expressions of emotions. That reaction could affect the quality of their interaction with their child. Providing interventions that help parents regulate their physiological and behavioral responses to stress might be helpful, especially if they have experienced childhood maltreatment. © 2024 Public Library of Science. All rights reserved.},

note = {Publisher: Public Library of Science},

keywords = {adult, alcohol consumption, analysis of variance, article, blood pressure, cardiovascular response, Child, Child Abuse, Childhood, Childhood Trauma Questionnaire, demographics, electrocardiogram, Electrocardiography, emotion, Emotional Abuse, Emotions, Ethnicity, Facial Expression, female, Heart Rate, heart rate variability, human, human experiment, Humans, Likert scale, male, mother, mother child relation, Mother-Child Relations, Mothers, parasympathetic tone, physical activity, physiology, post hoc analysis, psychology, questionnaire, sexual abuse, Surveys and Questionnaires},

pubstate = {published},

tppubtype = {article}

}

@article{corno_development_2024,

title = {Development of a visual-perceptual method to assess body image: A cross-cultural validation in Canadian and Spanish women},

author = {G. Corno and A. Paquette and D. Burychka and M. Miragall and M. -C. Rivard and R. M. Baños and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189089793&doi=10.1002%2ferv.3086&partnerID=40&md5=99c221e60e3d5caad167cec6fd25dddd},

doi = {10.1002/erv.3086},

issn = {10724133 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {European Eating Disorders Review},

abstract = {The objectives of this study were (a) to explore the preliminary cross-cultural validity of a visual-perceptual method to assess body image; (b) to examine potential differences and similarities in body image phenomena between women from two Western countries (i.e., Canada and Spain). 201 self-identified women participated in this cross-sectional study. Ideal, normal, and self-perceived body sizes were assessed using a visual-perceptual method, whereas body dissatisfaction was measured using both a visual-perceptual method and a questionnaire. Visual-perceptual body dissatisfaction was significantly correlated with questionnaire body dissatisfaction, suggesting a preliminary convergent validity between the two assessment methods. Women in both countries were dissatisfied with their bodies. Compared to their self-perceived body, all women chose a significantly thinner visual representation of their “normal” and ideal body. These results may suggest a shift towards the “thin” body as not only ideal, but also normative. This study provides the first evidence for the cross-cultural validity of a visual-perceptual body image assessment tool. The results of the current study confirm the presence of “normative discontent”, and suggest more cross-country similarities than differences among women from these two Western societies. © 2024 Eating Disorders Association and John Wiley & Sons Ltd.},

note = {Publisher: John Wiley and Sons Ltd},

keywords = {Adolescent, adult, analytic method, article, assessment, body dissatisfaction, body image, body image dissatisfaction, Body Size, Canada, Canadian, controlled study, convergent validity, correlation analysis, cross validation, cross-country, Cross-Cultural Comparison, Cross-Sectional Studies, cross-sectional study, cultural anthropology, cultural factor, exploratory research, female, human, Humans, ideal body size, intermethod comparison, Middle Aged, normal body size, psychology, questionnaire, reproducibility, Reproducibility of Results, Self Concept, Spain, Spaniard, Surveys and Questionnaires, thin ideal, underweight, vision, Visual Perception, visual-perceptual method, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{bogie_using_2024,

title = {Using virtual reality to improve verbal episodic memory in schizophrenia: A proof-of-concept trial},

author = {B. J. M. Bogie and C. Noël and F. Gu and S. Nadeau and C. Shvetz and H. Khan and M. -C. Rivard and S. Bouchard and M. Lepage and S. Guimond},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186986986&doi=10.1016%2fj.scog.2024.100305&partnerID=40&md5=a15c598b45b8f44a40b25fe5fd078a06},

doi = {10.1016/j.scog.2024.100305},

issn = {22150013 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Schizophrenia Research: Cognition},

volume = {36},

abstract = {Background: Schizophrenia is associated with impairments in verbal episodic memory. Strategy for Semantic Association Memory (SESAME) training represents a promising cognitive remediation program to improve verbal episodic memory. Virtual reality (VR) may be a novel tool to increase the ecological validity and transfer of learned skills of traditional cognitive remediation programs. The present proof-of-concept study aimed to assess the feasibility, acceptability, and preliminary efficacy of a VR-based cognitive remediation module inspired by SESAME principles to improve the use of verbal episodic memory strategies in schizophrenia. Methods: Thirty individuals with schizophrenia/schizoaffective disorder completed this study. Participants were randomized to either a VR-based verbal episodic memory training condition inspired by SESAME principles (intervention group) or an active control condition (control group). In the training condition, a coach taught semantic encoding strategies (active rehearsal and semantic clustering) to help participants remember restaurant orders in VR. In the active control condition, participants completed visuospatial puzzles in VR. Attrition rate, participant experience ratings, and cybersickness questionnaires were used to assess feasibility and acceptability. Trial 1 of the Hopkins Verbal Learning Test – Revised was administered pre- and post-intervention to assess preliminary efficacy. Results: Feasibility was demonstrated by a low attrition rate (5.88 %), and acceptability was demonstrated by limited cybersickness and high levels of enjoyment. Although the increase in the number of semantic clusters used following the module did not reach conventional levels of statistical significance in the intervention group, it demonstrated a notable trend with a medium effect size (t = 1.48},

note = {Publisher: Elsevier Inc.},

keywords = {adult, article, clinical article, clinical assessment, Cognitive remediation therapy, cybersickness, disease severity, dizziness, Ecological treatment, Episodic memory, exclusion VR criteria questionnaire, feasibility study, female, Hopkins verbal learning test, human, male, mini international neuropsychiatric interview, nausea, outcome assessment, Positive and Negative Syndrome Scale, Proof of concept, questionnaire, randomized controlled trial, schizophrenia, scoring system, Semantic encoding, Semantics, task performance, training, Verbal memory, virtual reality, vr experience questionnaire},

pubstate = {published},

tppubtype = {article}

}

@article{amirkhani_visual_2024,

title = {Visual Concrete Bridge Defect Classification and Detection Using Deep Learning: A Systematic Review},

author = {D. Amirkhani and M. S. Allili and L. Hebbache and N. Hammouche and J. Lapointe},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186994244&doi=10.1109%2fTITS.2024.3365296&partnerID=40&md5=a9228252d620ad6d444cc395296ebac2},

doi = {10.1109/TITS.2024.3365296},

issn = {15249050},

year  = {2024},

date = {2024-01-01},

journal = {IEEE Transactions on Intelligent Transportation Systems},

pages = {1–23},

abstract = {Visual inspection is an important process for maintaining bridges in road transportation systems, and preventing catastrophic events and tragedies. In this process, accurate and automatic concrete defect classification and detection are major components to ensure early identification of any issue that can compromise the bridge safety and integrity. While a tremendous body of research has been proposed in the last decades for addressing these problems, the advent of deep learning unleashed huge opportunities for building more accurate and efficient methods. Our aim in this survey is to study the recent progress of vision-based concrete bridge defect classification and detection in the deep learning era. Our review encompasses major aspects underlying typical frameworks, which include concrete defect taxonomy, public datasets and evaluation metrics. We provide also a taxonomy of deep-learning-based classification and detection algorithms with a detailed discussion of their advantages and limitations. We also benchmark baseline models for classification and detection, using two popular datasets. We finally discuss important challenges of concrete defect classification and detection, and promising research avenues to build better models and integrate them in real-world visual inspection systems, which warrant further scientific investigation. IEEE},

note = {Publisher: Institute of Electrical and Electronics Engineers Inc.},

keywords = {Annotation, Annotations, Bridges, Classification, Concrete, Concrete bridge defect, Concrete bridge defects, Concrete bridges, Concrete defects, Concretes, Deep learning, Defect classification, Defect detection, Defects, Detection, Inspection, Reviews, Segmentation, Taxonomies, Visualization},

pubstate = {published},

tppubtype = {article}

}