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E-raamat: Image Analysis and Processing. ICIAP 2022 Workshops: ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part I

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The two-volume set LNCS 13373 and 13374 constitutes the papers of several workshops which were held in conjunction with the 21st International Conference on Image Analysis and Processing, ICIAP 2022, held in Lecce, Italy, in May 2022.

The 96 revised full papers presented in the proceedings set were carefully reviewed and selected from 157 submissions.

ICIAP 2022 presents the following Sixteen workshops:

Volume I:

GoodBrother workshop on visual intelligence for active and assisted living
Parts can worth like the Whole - PART 2022
Workshop on Fine Art Pattern Extraction and Recognition - FAPER
Workshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022
Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCAD
Deep-Learning and High Performance Computing to Boost Biomedical Applications - DeepHealth

Volume II: 

Human Behaviour Analysis for Smart City Environment Safety - HBAxSCES
Binary is the new Black (and White): Recent Advances on Binary Image Processing
Artificial Intelligence for preterm infants’ healthCare - AI-care
Towards a Complete Analysis of People: From Face and Body to Clothes - T-CAP
Artificial Intelligence for Digital Humanities - AI4DH
Medical Transformers - MEDXF
Learning in Precision Livestock Farming - LPLF
Workshop on Small-Drone Surveillance, Detection and Counteraction Techniques - WOSDETC
Medical Imaging Analysis For Covid-19 - MIACOVID 2022
Novel Benchmarks and Approaches for Real-World Continual Learning - CL4REAL

GoodBrother workshop on visual intelligence for active and assisted
living .- Case study of a low-cost IoT device with a thermal vision to
monitor human stool behavior in the home.- Adults' Pain Recognition via
Facial Expressions Using CNN-based AU Detection.- In-bed posture and night
wandering monitoring using force-sensing resistors.- Classifying
Sport-Related Human Activity from Thermal Vision Sensors using CNN and
LSTM.- MIRATAR: A virtual caregiver for Active and Healthy Ageing.- From
Garment to Skin: The visuAAL Skin Segmentation Dataset.- A Mobile Food
Recognition System for Dietary Assessment.- Smart Diet Management through
Food Image and Cooking Recipe Analysis.- An approach for improving the older
peoples perception of video-based applications in AAL systems initial
study.- Parts can worth like the Whole - PART 2022.- Spectral analysis of
masked signals in the context of image inpainting.- BringingAttention to
Anomaly Detection.-  Workshop on Fine Art Pattern Extraction and Recognition
- FAPER.- Recognizing the Emotions Evoked by Artworks Through Visual Features
and Knowledge Graph-Embeddings.- Classification of pottery fragments
described by concentration of chemical elements.- Blind deblurring of
hyperspectral document images.- MyBottega: an environment for the innovative
production and distribution of digital art.- A Case Study for the Design and
Implementation of Immersive Experiences in support of Sicilian Cultural
Heritage.- Automatic indexing of virtual camera features from Japanese
anime.- Imageability-based Multi-modal Analysis of Urban Environments for
Architects and Artists.- Challenges in image matching for cultural heritage:
an overview and perspective.- Workshop on Intelligent Systems in Human and
Artificial Perception - ISHAPE 2022.- Virtual and Augmented Reality for
quality control of aircraft interiors.- Automatic scoring of synchronization
from fingers motion capture and music beats.- Performance of Recent
tiny/small YOLO Versions in the Context of Top-view Fisheye
Images.- Cloud-based visually aided mobile manipulator kinematic parameters
calibration.- Deep learning approaches for image-based detection and
classification of structural defects in bridges.- MONstEr: a Deep
learning-based system for the automatic generation of gaming assets.- Surface
Oxide detection and characterization using sparse unmixing on hyperspectral
images.- FakeNED: a deep learning based-system for fake news detection from
social media.- Artificial Intelligence and Radiomics in Computer-Aided
Diagnosis - AIRCAD.- Radiomics Analyses of Schwannomas in the head and neck:
a preliminary analysis.- A shallow learning investigation for COVID-19
classification.- Shape Prior Based Myocardial Segmentation with Anatomically
Motivated Pose Model.- PET images atlas-based segmentation performed in
native and in template space: a radiomics repeatability study.- MRI-based
radiomics analysis for identification of features correlated with the
Expanded Disability Status Scale of Multiple Sclerosis
patients.- matRadiomics: from Biomedical Image Visualization to Predictive
Model Implementation.- Assessing high-order interdependencies through static
O-Information measures computed on resting state fMRI intrinsic component
networks.- Place cells Computational Model.- Automatic Liver Segmentation in
pre-TIPS Cirrhotic Patients: A Preliminary Step for Radiomics
Studies.- Combining Convolutional Neural Networks and Anatomical Shape-Based
priors for Cardiac Segmentation.- A Predictive System to Classify
Preoperative Grading of Rectal Cancer using Radiomics Features.- Unsupervised
Brain Segmentation System Using K-Means and Neural Network.- Combining Image
and Geometry Processing Techniques for the Quantitative Analysis of
Muscle-Skeletal Diseases.- Robustness of Radiomics Features to Varying
Segmentation Algorithms in Magnetic Resonance Images.- Deep-Learning and High
Performance Computing to Boost Biomedical Applications - DeepHealth.- Fast
Learning Framework for Denoising of Ultrasound 2D Videos and 3D Images.- Lung
nodules segmentation with DeepHealth toolkit.- UnitoBrain: A Brain Perfusion
Dataset.- A Compact Deep Ensemble for High Quality Skin Lesion
Classification.- Automatic Detection of Epileptic Seizures with Recurrent and
Convolutional Neural Networks.- Enabling Efficient Training of Convolutional
Neural Networks for Histopathology Images.- AI support for accelerating
histopathological slide examinations of prostate cancer in clinical
studies.- Detection of Pulmonary Conditions Using the DeepHealth Framework.