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This book gathers selected, extended and revised contributions to
the 17th International Symposium on Computer Methods in
Biomechanics and Biomedical Engineering and the 5th Conference on
Imaging and Visualization (CMBBE 2021), held online on September
7-9, 2021, from Bonn, Germany. It reports on cutting-edge models,
algorithms and imaging techniques for studying cells, tissues and
organs in normal and pathological conditions. It covers numerical
and machine learning methods, finite element modeling and virtual
reality techniques, applied to understand biomechanics of movement,
fluid and soft tissue biomechanics. It also reports on related
advances in rehabilitation, surgery and diagnosis. All in all, this
book offers a timely snapshot of the latest research and current
challenges at the interface between biomedical engineering,
computational biomechanics and biological imaging. Thus, it is
expected to provide a source of inspiration for future research and
cross-disciplinary collaborations.
This book contains the full papers presented at ICCEBS 2013 – the
1st International Conference on Computational and Experimental
Biomedical Sciences, which was organized in Azores, in October
2013. The included papers present and discuss new trends in those
fields, using several methods and techniques, including active
shape models, constitutive models, isogeometric elements, genetic
algorithms, level sets, material models, neural networks,
optimization and the finite element method, in order to address
more efficiently different and timely applications involving
biofluids, computer simulation, computational biomechanics, image
based diagnosis, image processing and analysis, image segmentation,
image registration, scaffolds, simulation and surgical planning.
The main audience for this book consists of researchers, Ph.D
students and graduate students with multidisciplinary interests
related to the areas of artificial intelligence, bioengineering,
biology, biomechanics, computational fluid dynamics, computational
mechanics, computational vision, histology, human motion,
imagiology, applied mathematics, medical image, medicine,
orthopaedics, rehabilitation, speech production and tissue
engineering.
This book presents novel and advanced topics in Medical Image
Processing and Computational Vision in order to solidify knowledge
in the related fields and define their key stakeholders. It
contains extended versions of selected papers presented in VipIMAGE
2013 – IV International ECCOMAS Thematic Conference on
Computational Vision and Medical Image, which took place in
Funchal, Madeira, Portugal, 14-16 October 2013. The
twenty-two chapters were written by invited experts of
international recognition and address important issues in medical
image processing and computational vision, including: 3D vision, 3D
visualization, colour quantisation, continuum mechanics, data
fusion, data mining, face recognition, GPU parallelisation, image
acquisition and reconstruction, image and video analysis, image
clustering, image registration, image restoring, image
segmentation, machine learning, modelling and simulation, object
detection, object recognition, object tracking, optical flow,
pattern recognition, pose estimation, and texture analysis.
Different applications are addressed and described
throughout the book, comprising: biomechanical studies,
bio-structure modelling and simulation, bone characterization, cell
tracking, computer-aided diagnosis, dental imaging, face
recognition, hand gestures detection and recognition, human motion
analysis, human-computer interaction, image and video
understanding, image processing, image segmentation, object and
scene reconstruction, object recognition and tracking, remote robot
control, and surgery planning. This volume is of use to
researchers, students, practitioners and manufacturers from several
multidisciplinary fields, such as artificial intelligence,
bioengineering, biology, biomechanics, computational mechanics,
computational vision, computer graphics, computer science, computer
vision, human motion, imagiology, machine learning, machine vision,
mathematics, medical image, medicine, pattern recognition, and
physics.
This book contains extended versions of selected papers from the
3rd edition of the International Symposium CompIMAGE. These
contributions include cover methods of signal and image processing
and analysis to tackle problems found in medicine, material
science, surveillance, biometric, robotics, defence, satellite
data, traffic analysis and architecture, image segmentation, 2D and
3D reconstruction, data acquisition, interpolation and
registration, data visualization, motion and deformation analysis
and 3D vision.
This book contains thirteen contributions from invited experts of
international recognition addressing important issues in shape
analysis in medical image analysis, including techniques for image
segmentation, registration, modelling and classification and
applications in biology, as well as in cardiac, brain, spine,
chest, lung and clinical practice. This volume treats topics such
as for example, anatomic and functional shape representation and
matching; shape-based medical image segmentation; shape
registration; statistical shape analysis; shape deformation;
shape-based abnormity detection; shape tracking and longitudinal
shape analysis; machine learning for shape modeling and analysis;
shape-based computer-aided-diagnosis; shape-based medical
navigation; benchmark and validation of shape representation,
analysis and modeling algorithms. This work will be of interest to
researchers, students and manufacturers in the fields of artificial
intelligence, bioengineering, biomechanics, computational
mechanics, computational vision, computer sciences, human motion,
mathematics, medical imaging, medicine, pattern recognition and
physics.
This book contains the full papers presented at the MICCAI 2013
workshop Bio-Imaging and Visualization for Patient-Customized
Simulations (MWBIVPCS 2013). MWBIVPCS 2013 brought together
researchers representing several fields, such as Biomechanics,
Engineering, Medicine, Mathematics, Physics and Statistic. The
contributions included in this book present and discuss new trends
in those fields, using several methods and techniques, including
the finite element method, similarity metrics, optimization
processes, graphs, hidden Markov models, sensor calibration, fuzzy
logic, data mining, cellular automation, active shape models,
template matching and level sets. These serve as tools to address
more efficiently different and timely applications involving signal
and image acquisition, image processing and analysis, image
segmentation, image registration and fusion, computer simulation,
image based modelling, simulation and surgical planning, image
guided robot assisted surgical and image based diagnosis. This book
will appeal to researchers, PhD students and graduate students with
multidisciplinary interests related to the areas of medical
imaging, image processing and analysis, computer vision, image
segmentation, image registration and fusion, scientific data
visualization and image based modeling and simulation.
The book presents studies related to artificial intelligence (AI)
and its applications to process and analyze data and big data to
create machines or software that can better understand business
behavior, industry activities, and human health. The studies were
presented at “The 2021 International Conference on Artificial
Intelligence and Big Data in Digital Era” (ICABDE 2021), which
was held in Ho Chi Minh City, Vietnam, during December 18-19, 2021.
The studies are pointing toward the famous slogan in technology
“Make everything smarter,” i.e., creating machines that can
understand and can communicate with humans, and they must act like
humans in different aspects such as vision, communication,
thinking, feeling, and acting. “A computer would deserve to be
called intelligent if it could deceive a human into believing that
it was human” —Alan Turing
This book includes high quality research papers presented at the
International Conference on Communication, Computing and
Electronics Systems 2021, held at the PPG Institute of Technology,
Coimbatore, India, on 28-29 October 2021. The volume focuses mainly
on the research trends in cloud computing, mobile computing,
artificial intelligence and advanced electronics systems. The
topics covered are automation, VLSI, embedded systems, optical
communication, RF communication, microwave engineering, artificial
intelligence, deep learning, pattern recognition, communication
networks, Internet of Things, cyber-physical systems, and
healthcare informatics.
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