Victor Alves

Orcid: 0000-0003-1819-7051

According to our database1, Victor Alves authored at least 88 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Encouraging Eco-Innovative Urban Development.
Algorithms, May, 2024

Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting.
Algorithms, March, 2024

Opyrability: A Python package for process operability analysis.
J. Open Source Softw., February, 2024

Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)].
Medical Image Anal., 2024

GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy.
Medical Image Anal., 2024

Subthalamic Nucleus segmentation in high-field Magnetic Resonance data. Is space normalization by template co-registration necessary?
CoRR, 2024

Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI.
CoRR, 2024

How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation.
CoRR, 2024

Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review.
CoRR, 2024

Generalisation of Segmentation Using Generative Adversarial Networks.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.
Medical Image Anal., August, 2023

Open-source skull reconstruction with MONAI.
SoftwareX, July, 2023

Algorithm Recommendation and Performance Prediction Using Meta-Learning.
Int. J. Neural Syst., March, 2023

Augmented Reality-Assisted Ultrasound Breast Biopsy.
Sensors, February, 2023

Automatic Optimization-Based Methods in Machine Learning: A Systematic Review.
Proceedings of the Intelligent Systems and Applications, 2023

Multi-agent System for Multimodal Machine Learning Object Detection.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022
Employees balance and stability as key points in organizational performance.
Log. J. IGPL, 2022

GAN-based generation of realistic 3D data: A systematic review and taxonomy.
CoRR, 2022

A machine learning-based process operability framework using Gaussian processes.
Comput. Chem. Eng., 2022

An Entropic Approach to Technology Enable Learning and Social Computing.
Proceedings of the Machine Learning and Artificial Intelligence, 2022

Real-Time Algorithm Recommendation Using Meta-Learning.
Proceedings of the Ambient Intelligence - Software and Applications, 2022

Ultrasound training simulator using augmented reality glasses: an accuracy and precision assessment study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Transforming Ideas and Developing Entrepreneurship Skills in Computing Sciences and Informatics Engineering Courses.
Proceedings of the EATIS 2022: 11th Euro American Conference on Telematics and Information Systems, Aveiro, Portugal, June 1, 2022

2021
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.
IEEE Trans. Medical Imaging, 2021

Combining unsupervised and supervised learning for predicting the final stroke lesion.
Medical Image Anal., 2021

Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN.
CoRR, 2021

Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning.
IEEE Access, 2021

Study of MRI-Based Biomarkers on Patients with Cerebral Amyloid Angiopathy Using Artificial Intelligence.
Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Trends in the Use of 3D Printing with Medical Imaging.
Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Contactless Human-Computer Interaction Using a Deep Neural Network Pipeline for Real-Time Video Interpretation and Classification.
Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2021

2020
Some considerations on quantum computing at sub-atomic scales and its impact in the future of Moore's law.
Quantum Inf. Comput., 2020

A Study on CNN Architectures for Chest X-Rays Multiclass Computer-Aided Diagnosis.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

Spatial Normalization of MRI Brain Studies Using a U-Net Based Neural Network.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

A Thermodynamic Assessment of the Cyber Security Risk in Healthcare Facilities.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

A Multi-valued Logic Assessment of Organizational Performance via Workforce Social Networking.
Proceedings of the Big Data Technologies and Applications, 2020

Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Predicting Recurring Telecommunications Customer Support Problems Using Deep Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Some considerations on the estimation of the value associated to a clinical act.
Proceedings of the 11th International Conference on Ambient Systems, 2020

2019
Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks.
IEEE Trans. Medical Imaging, 2019

Automated Computer-aided Design of Cranial Implants Using a Deep Volumetric Convolutional Denoising Autoencoder.
Proceedings of the New Knowledge in Information Systems and Technologies - Volume 3, 2019

Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Interpretability of a Deep Learning Model for Rodents Brain Semantic Segmentation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Entropy and Organizational Performance.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

Assessing Individuals Learning's Impairments from a Social Entropic Perspective.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation.
Medical Image Anal., 2018

Forecast in the Pharmaceutical Area - Statistic Models vs Deep Learning.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Predicative Vagueness in Lung Metastases in Soft Tissue Sarcoma Screening.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Case-Based Reasoning Approach to GBM Evolution.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Deep Learning Based Pipeline for Fingerprinting Using Brain Functional MRI Connectivity Data.
Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

Combining Image and Non-image Clinical Data: An Infrastructure that Allows Machine Learning Studies in a Hospital Environment.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017
Erratum to: Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data.
J. Medical Syst., 2017

A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies.
Inteligencia Artif., 2017

Gaming in Dyscalculia: A Review on disMAT.
Proceedings of the Recent Advances in Information Systems and Technologies, 2017

A Hospital Service Kiosk in the Patient's Pocket.
Proceedings of the Ambient Intelligence - Software and Applications, 2017

Chest X-Ray Image Analysis - A Vision of Logic Programming.
Proceedings of the Agents and Artificial Intelligence - 9th International Conference, 2017

A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

Diagnosis of Alzheimer Disease Through an Artificial Neural Network Based System.
Proceedings of the Advances in Human Factors in Simulation and Modeling, 2017

2016
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
IEEE Trans. Medical Imaging, 2016

Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data.
J. Medical Syst., 2016

Reducing Computation Time by Monte Carlo Method: An Application in Determining Axonal Orientation Distribution Function.
Proceedings of the New Advances in Information Systems and Technologies, 2016

Enabling Data Storage and Availability of Multimodal Neuroimaging Studies - A NoSQL Based Solution.
Proceedings of the New Advances in Information Systems and Technologies, 2016

Chest Breadths to Predict Individuals' Age - A Case Based View.
Proceedings of the 18th IEEE Conference on Business Informatics, 2016

A Case Based Methodology for Problem Solving Aiming at Knee Osteoarthritis Detection.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

2015
The Impact of Normalization and Segmentation on Resting-State Brain Networks.
Brain Connect., 2015

Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

3D Reconstruction of Bone Structures Based on Planar Radiography.
Proceedings of the Ambient Intelligence - Software and Applications, 2015

A Framework for the Automation of Multimodalbrain Connectivity Analyses.
Proceedings of the Intelligent Distributed Computing IX - Proceedings of the 9th International Symposium on Intelligent Distributed Computing, 2015

Construction of Functional Brain Connectivity Networks.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015

2014
Endoscopic Imaging Results: Web-Based Solution for Video Diffusion with Real-Time Assistance.
J. Inf. Technol. Res., 2014

A Novel Approach to Endoscopic Exams Archiving.
Proceedings of the New Perspectives in Information Systems and Technologies, 2014

Video Processing Architecture: A Solution for Endoscopic Procedures Results.
Proceedings of the Ambient Intelligence - Software and Applications, 2014

Multilingual Voice Control for Endoscopic Procedures.
Proceedings of the Internet of Things. User-Centric IoT, 2014

2013
A Logic Programming Approach to the Conservation of Buildings Based on an Extension of the Eindhoven Classification Model.
Polibits, 2013

Web-Based Solution for Acquisition, Processing, Archiving and Diffusion of Endoscopy Studies.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

2012
Evolutionary intelligence in asphalt pavement modeling and quality-of-information.
Prog. Artif. Intell., 2012

2011
A logic programming approach to medical errors in imaging.
Int. J. Medical Informatics, 2011

2010
Brain Magnetic Resonance Spectroscopy Classifiers.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2010

A Logic Programming Based Adverse Event Reporting and Learning System.
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010

2009
Computer-Aided Diagnosis in Brain Computed Tomography Screening.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

2007
Medical Imaging Environment - A Multi-Agent System for a Computer Clustering Based Multi-display.
Proceedings of the Progress in Artificial Intelligence, 2007

2005
Web-based Medical Teaching using a Multi-Agent System.
Proceedings of the Applications and Innovations in Intelligent Systems XIII, 2005

2002
Resolução de problemas em ambientes distribuídos: uma contribuição nas áreas da inteligência artificial e da saúde
PhD thesis, 2002

2001
A Computational Environment for Medical Diagnosis Support Systems.
Proceedings of the Medical Data Analysis, Second International Symposium, 2001

1999
A Unified Framework for Data Modeling on Medical Information Systems.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

1993
Distributed Problem Solving: A Universal Computer Architecture.
Proceedings of the 5th Workshop on Logic Programming Environments (LPE 1993), 1993


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