Joao Manuel R. S. Tavares

Joao Manuel R. S. Tavares
University of Porto | UP · Departamento de Engenharia Mecânica

Habilitation, PhD, MSc
Full Professor @FEUP; Editor-in-chief of CMBBE; Editor-in-chief of CMBBE: Imaging & Visualization; Editor of LNCVB.

About

965
Publications
414,427
Reads
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9,249
Citations
Introduction
João Manuel R. S. Tavares has a BSc Degree in Mechanical Engineering, MSc and PhD Degrees in Electrical and Computer Engineering, and Habilitation in Mechanical Engineering. He is Editor-in-chief of the Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization and Computer Methods in Biomechanics and Biomedical Engineering journals, and Editor of the book series Lecture Notes in Computational Vision and Biomechanics. More details @: http://www.fe.up.pt/~tavares
Additional affiliations
August 2021 - present
University of Porto
Position
  • Professor (Full)
Description
  • Full Professor
September 2012 - present
Independent Researcher
Independent Researcher
Position
  • Editor-in-Chief
Description
  • Editor-in-Chief: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization http://www.tandfonline.com/tciv
August 2012 - present
Springer
Position
  • Co-Editor-in-Chief
Description
  • Co-Editor-in.Chief of the book series: Lecture Notes in Computational Vision and Biomechanics http://www.springer.com/series/8910
Education
May 2015 - May 2015
University of Porto
Field of study
  • Mechanical Engineering
August 1995 - January 2001
University of Porto
Field of study
  • Electrical and Computer Engineering
September 1992 - September 1995
University of Porto
Field of study
  • Electrical and Computer Engineering

Publications

Publications (965)
Book
Full-text available
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 techniqu...
Article
Background Parkinson’s disease (PD) is a chronic and progressive neurodegenerative disease with no cure, presenting a challenging diagnosis and management. However, despite a significant number of criteria and guidelines have been proposed to improve the diagnosis of PD and to determine the PD stage, the gold standard for diagnosis and symptoms mon...
Article
Full-text available
Traffic flow forecasting is an essential component of an intelligent transportation system to mitigate congestion. Recurrent neural networks, particularly gated recurrent units and long short-term memory, have been the state-of-the-art traffic flow forecasting models for the last few years. However, a more sophisticated and resilient model is neces...
Article
An accurate early-stage leukemia diagnosis plays a critical role in treating and saving patients’ lives. The two primary forms of leukemia are acute and chronic leukemia, which is subdivided into myeloid and lymphoid leukemia. Deep learning models have been increasingly used in computer-aided medical diagnosis (CAD) systems developed to detect leuk...
Article
Road network studies attracted unprecedented and overwhelming interest in recent years due to the clear relationship between human existence and city evolution. Current studies cover many aspects of a road network , for example, road feature extraction from video/image data, road map generalisation, traffic simulation, optimisation of optimal route...
Article
Full-text available
Human gait recognition (HGR) shows high importance in the area of video surveillance due to remote access and security threats. HGR is a technique commonly used for the identification of human style in daily life. However, many typical situations like change of clothes condition and variation in view angles degrade the system performance. Lately, d...
Article
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Three-dimensional (3D) image reconstruction is emerging as a leading challenge for 3D media on the Internet and virtual reality. In this regard, compression performance in 3D technology is one of the most important issues. Various codecs such as HEVC and AV1 have been suggested to improve compression performance in 3D technology. In this study, a h...
Article
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The crowd counting task has become a pillar for crowd control as it provides information concerning the number of people in a scene. It is helpful in many scenarios such as video surveillance, public safety, and future event planning. To solve such tasks, researchers have proposed different solutions. In the beginning, researchers went with more tr...
Article
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In this article, a salt and pepper noise (SPN) removal method is proposed based on thresholding and regularization techniques. The proposed method utilizes the ability to remove noise from an image denoising model based on Total Variation (TV) regularization and characteristics of SPN. First, a technique based on the characteristic of SPN is propos...
Article
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Background and objectives Dementia is one of the brain diseases with serious symptoms such as memory loss, and thinking problems. According to the World Alzheimer Report 2016, in the world, there are 47 million people having dementia and it can be 131 million by 2050. There is no standard method to diagnose dementia, and consequently unable to acce...
Article
Human lower limb activity recognition (HLLAR) has grown in popularity over the last decade mainly because to its applications in the identification and control of neuromuscular disorders, security, robotics, and prosthetics. Surface electromyography (sEMG) sensors provide various advantages over other wearable or visual sensors for HLLAR applicatio...
Article
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Requests for caring for and monitoring the health and safety of older adults are increasing nowadays and form a topic of great social interest. One of the issues that lead to serious concerns is human falls, especially among aged people. Computer vision techniques can be used to identify fall events, and Deep Learning methods can detect them with o...
Article
Background Certain aspects of gait may depend on cognition, and the effects of dual-tasking (DT) on gait asymmetry (GA) during obstacle circumvention in people with Parkinson's disease (pwPD) may be walking phase-dependent. While the approaching phase requires allocating significant cognitive resources to perform the task, outweighing the available...
Article
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Ultrasonic guided wave testing (UGWT) is a non-destructive testing (NDT) technique commonly used in structural health monitoring to perform wide-range inspection from a single point, thus reducing the time and effort required for NDT. However, the multi-modal and dispersive nature of guided waves makes the extraction of essential information that l...
Book
Full-text available
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 i...
Article
Voids have a substantial impact on the mechanical properties of composite laminates and can lead to premature failure of composite parts. Optical microscopy is a commonly employed imaging technique to assess the void content of composite parts, as it is reliable and less expensive than alternative options. Usually, image thresholding techniques are...
Article
Full-text available
Traffic state prediction is a vitally important keystone of an intelligent transportation system (ITS). It aims to improve better travel route selection, comply with the reduction of overall carbon emissions, mitigate congestion, and enhance the safety of inhabitants. However, modelling efficiently traffic flow is challenging due to its dynamic and...
Article
Full-text available
EEG signals play significant role in the study of mental disorders. Epilepsy is one of the major mental disorder and need significant technological support in the treatment. A method proposed here is an endorsement technique for epileptic seizures using electroencephalogram (EEG) signals captured using non-invasive method. The method uses power spe...
Article
Dermoscopic images are commonly used in the early diagnosis of skin lesions, and several computational systems have been proposed to analyze them. The segmentation of the lesions is a fundamental step in many of these systems. Therefore, a semi-automatic segmentation method is proposed here, which begins by building the superpixels of the image und...
Article
Full-text available
The attitude and heading reference system (AHRS) is an important concept in the area of navigation, image stabilization, and object detection and tracking. Many studies and works have been conducted in this regard to estimate the accurate orientation of rigid bodies. In most research in this area, low-cost MEMS sensors are employed, but since the s...
Article
Full-text available
Chest radiographies, or chest X-rays, are the most standard imaging exams used in daily hospitals. Responsible for assisting in detecting numerous pathologies and findings that directly interfere in the patient's life, this exam is therefore crucial in screening patients. This work proposes a methodology based on a Convolutional Neural Networks (CN...
Article
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The development of a new product is a complicated multi-stakeholder process with a significant risk of failure. This is particularly true in the medical device sector, where there are strict therapeutic, psychological, and normative constraints. This article presents a multi-criteria decision making process called “Define, Prioritize, Measure, and...
Article
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Metallic additive manufacturing processes have been significantly developed since their inception with modern systems capable of manufacturing components for structural applications. However, successful processing through these methods requires extensive experimentation before optimised parameters can be found. In laser-based processes, such as dir...
Article
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In recent years, with the growth of digital media and modern imaging equipment, the use of video processing algorithms and semantic film and image management has expanded. The usage of different video datasets in training artificial intelligence algorithms is also rapidly expanding in various fields. Due to the high volume of information in a video...
Book
This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together, in one resource, information security across multiple domains. Information Security Handbook addresses the knowledge for emerging mul...
Article
Full-text available
The analysis of ambient sounds can be very useful when developing sound base intelligent systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded sound or clip among some predefined scenes. ASC has huge potential to be used in urban sound event classification systems. This research presents a hybrid method that...
Article
Full-text available
Theme: Enterprise management systems (EMS) and big data analytics are the most promising computing platform in the fields of artificial intelligence, information science, and statistics that uses statistical pattern recognition, federated learning, database management, visualization technology, and social networking. In the era of modern industrial...
Book
Full-text available
This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data l...
Book
Full-text available
This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art t...
Article
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Breast cancer is a very frequent type of cancer and much attention is paid to therapy with considerable efforts both in the pharmacological and clinical fields.The present work aims to create a non-linear dynamic model of action of the drug Trastuzumab against HER-2 + breast cancer, mainly considering its action of ADCP (antibody-dependent phagocyt...
Book
Full-text available
The volume is a collection of best selected research papers presented at the 4th International Conference on Inventive Material Science Applications (ICIMA 2021) organized by PPG Institute of Technology, Coimbatore, India during 14 – 15 May 2021. The book includes original research by material science researchers towards developing a compact and ef...
Article
Full-text available
Image registration is a commonly task in medical image analysis. Therefore, a significant number of algorithms have been developed to perform rigid and non-rigid image registration. Particularly, the free-form deformation algorithm is frequently used to carry out non-rigid registration task; however, it is a computationally very intensive algorithm...
Article
Computed Tomography (CT) imaging is used in Radiation Therapy planning, where the treatment is carefully tailored to each patient in order to maximize radiation dose to the target while decreasing adverse effects to nearby healthy tissues. A crucial step in this process is manual organ contouring, which if performed automatically could considerably...
Conference Paper
Full-text available
Studies on road networks have received extraordinary and overwhelming attention during the last few years as it is closely related to human life and city evolution. Current studies cover many aspects of a road network, for example, road feature extraction from video/image data, road map generalization , traffic simulation, optimization of optimal r...
Book
This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practic...
Book
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 adva...
Book
Full-text available
This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2021),” hosted by Manipal University Jaipur, Rajasthan, India, on August 5–6, 2021. Offering a collection of innovative ideas from researchers, scientists, academics, industry professionals...
Book
Full-text available
The book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2022 organized by IIS (Deemed to be University), Jaipur, Rajasthan, India, during January 7–8, 2022. The volume is a collection of innovative ideas from researchers, scientists, academicians, industry pr...
Book
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Provides recent research on Image Processing and Capsule Networks Includes proceedings of the International Conference on Image Processing and Capsule Networks (ICIPCN2022) Presents how to discover more information from images and perform innovative image analysis procedures
Book
Full-text available
Presents high-quality research in the field of computational intelligence and data science Features the outcomes of IEM-ICDC 2021, held in Kolkata, India Serves as a reference resource for researchers and practitioners in academia and industry
Article
Cardiovascular diseases (CVDs) are a cluster of heart-related issues, including many comorbidities, which is becoming a leading cause of human death across the globe. Hence, an essential framework is demanded for the early detection of CVDs which can help to prevent premature death. The application of Artificial Intelligence (AI) in healthcare has...
Article
Common image segmentation methods, to a large extent, are computationally expensive, particularly when run on large medical datasets, and require powerful hardware to achieve image-based diagnosis in real-time. For a medical image segmentation algorithm that is based on an active contour model, our work presents an efficient approach that detects c...
Conference Paper
Holography is a 3D capturing and displaying system. Many formats have been suggested to store holographic images with the highest quality and minimum file size. Here, we suggest combining two AV1 codecs to make a secondary error image and use it in a linear regression block to compensate for the main AV1 compression error. Since the phase part is t...
Article
Among other hospitalization causes and cases, the clinical emergency is a critical case and the data of the reporting patients are biased as well as poorly managed due to the chaotic situation. The world has faced chaos over the past year due to the frequent waves of COVID-19 and the resulting emergencies. The data banks, linked with the clinical e...
Cover Page
The 2021 International Conference on “Artificial Intelligence and Big Data in Digital Era” (ICABDE, https://icabde.ueh.edu.vn) is a prestigious venue for bringing together researchers, experts and practitioners from academia, business, and industry, who are engaged in the different research domains related to Artificial Intelligence (AI) and Big Da...
Article
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With the rapid growth and development of cities, Intelligent Traffic Management and Control (ITMC) is becoming a fundamental component to address the challenges of modern urban traffic management, where a wide range of daily problems need to be addressed in a prompt and expedited manner. Issues such as unpredictable traffic dynamics, resource const...
Article
Full-text available
With the widespread use of surveillance image cameras and enhanced awareness of public security, objects, and persons Re-Identification (ReID), the task of recognizing objects in non-overlapping camera networks has attracted particular attention in computer vision and pattern recognition communities. Given an image or video of an object-of-interest...
Article
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Weakly supervised video anomaly detection is a recent focus of computer vision research thanks to the availability of large-scale weakly supervised video datasets. However, most existing research works are limited to the frame-level classification with emphasis on finding the presence of specific objects or activities. In this article, a new neural...
Article
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Attacks with Improvised Explosive Device (IED) constituted the main threat to, for example, Polish soldiers in Iraq and Afghanistan. Improving safety during transport in an armoured vehicle has become an important issue. The main purpose of the presented research is to investigate the mechanism of lower leg injuries during explosion under an armour...
Article
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One of the critical challenges facing 3D video systems and images such as holography lies in their compression technique. High-efficiency video coding (HEVC) has emerged as one of the leading schemes to address this challenge. In this article, a novel method based on wavelet transform is presented to improve HEVC, particularly in digital holography...
Article
Full-text available
The minimal change disease (MCD) and glomerulosclerosis (GS) are two common kidney diseases. Unless adequately treated, these diseases leads to chronic kidney diseases. Accurate differentiation of these two diseases is of paramount importance as their methods of treatment and prognoses are different. Thus, this article propose a method capable of d...
Conference Paper
Full-text available
Image artifacts are common in computed tomography due to bone prosthetics, fiducial markers and other surgical implants. These cause large changes in the image due to the way X-rays are absorbed and transmitted by the metal. Although there have been considerable advances [1], the algorithms used in image reconstruction are often unable to remove th...
Article
Full-text available
Objective The aim of this work was to explore the potential of infrared thermal imaging as an aiding tool for the diagnosis of skin cancer lesions, using artificial intelligence methods. Methods Thermal parameters of skin tumours were retrieved from thermograms and used as input features for two machine learning based strategies: ensemble learning...