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Victor Alves
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2020 – today
- 2024
- [j26]Somayeh Shahrabadi, Telmo Adão, Emanuel Peres, Raul Morais, Luís G. Magalhães, Victor Alves:
Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting. Algorithms 17(3): 106 (2024) - [j25]Victor Alves, Florentino Fdez-Riverola, Jorge Ribeiro, José Neves, Henrique Vicente:
Encouraging Eco-Innovative Urban Development. Algorithms 17(5): 192 (2024) - [j24]Victor Alves, San Dinh, John R. Kitchin, Vitor Gazzaneo, Juan C. Carrasco, Fernando V. Lima:
Opyrability: A Python package for process operability analysis. J. Open Source Softw. 9(94): 5966 (2024) - [j23]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy. Medical Image Anal. 93: 103100 (2024) - [j22]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]. Medical Image Anal. 96: 103174 (2024) - [c55]André Ferreira, Gijs Luijten, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger:
Generalisation of Segmentation Using Generative Adversarial Networks. ISBI 2024: 1-4 - [i12]Ana Carolina Alves, André Ferreira, Gijs Luijten, Jens Kleesiek, Behrus Puladi, Jan Egger, Victor Alves:
Deep PCCT: Photon Counting Computed Tomography Deep Learning Applications Review. CoRR abs/2402.04301 (2024) - [i11]André Ferreira, Naida Solak, Jianning Li, Philipp Dammann, Jens Kleesiek, Victor Alves, Jan Egger:
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation. CoRR abs/2402.17317 (2024) - [i10]Ana Carolina Alves, André Ferreira, Behrus Puladi, Jan Egger, Victor Alves:
Deep Dive into MRI: Exploring Deep Learning Applications in 0.55T and 7T MRI. CoRR abs/2407.01318 (2024) - [i9]Tomás Lima, Igor Varga, Eduard Bakstein, Daniel Novák, Victor Alves:
Subthalamic Nucleus segmentation in high-field Magnetic Resonance data. Is space normalization by template co-registration necessary? CoRR abs/2407.15485 (2024) - 2023
- [j21]Guilherme Palumbo, Davide Carneiro, Miguel Guimarães, Victor Alves, Paulo Novais:
Algorithm Recommendation and Performance Prediction Using Meta-Learning. Int. J. Neural Syst. 33(3): 2350011:1-2350011:16 (2023) - [j20]Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023) - [j19]José Nuno Costa, Luís Ferreira, Augusto R. V. F. de Araújo, Bruno Oliveira, Helena R. Torres, Pedro Morais, Victor Alves, João L. Vilaça:
Augmented Reality-Assisted Ultrasound Breast Biopsy. Sensors 23(4): 1838 (2023) - [j18]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-source skull reconstruction with MONAI. SoftwareX 23: 101432 (2023) - [c54]Eduardo Coelho, Nuno Pimenta, Hugo Peixoto, Dalila Durães, Pedro Melo-Pinto, Victor Alves, Lourenço Bandeira, José Machado, Paulo Novais:
Multi-agent System for Multimodal Machine Learning Object Detection. HAIS 2023: 673-681 - [c53]Somayeh Shahrabadi, Telmo Adão, Victor Alves, Luís G. Magalhães:
Automatic Optimization-Based Methods in Machine Learning: A Systematic Review. IntelliSys (2) 2023: 309-326 - [e1]Rashid Mehmood, Victor Alves, Isabel Praça, Jaroslaw Wikarek, Javier Parra-Domínguez, Roussanka Loukanova, Ignacio de Miguel, Tiago Pinto, Ricardo Nunes, Michela Ricca:
Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference, Guimaraes, Portugal, 12-14 July 2023. Lecture Notes in Networks and Systems 741, Springer 2023, ISBN 978-3-031-38317-5 [contents] - 2022
- [j17]Victor Alves, Vitor Gazzaneo, Fernando V. Lima:
A machine learning-based process operability framework using Gaussian processes. Comput. Chem. Eng. 163: 107835 (2022) - [j16]José Neves, Nuno Maia, Goreti Marreiros, Mariana Neves, Ana Fernandes, Jorge Ribeiro, Isabel Araújo, Nuno Araújo, Liliana Ávidos, Filipa Ferraz, António Capita, Nicolás F. Lori, Victor Alves, Henrique Vicente:
Employees balance and stability as key points in organizational performance. Log. J. IGPL 30(4): 664-678 (2022) - [c52]Edward David Moreno, João Miguel Fernandes, Victor Alves, Maria Elena Leon Olave, Paulo S. L. P. Afonso:
Transforming Ideas and Developing Entrepreneurship Skills in Computing Sciences and Informatics Engineering Courses. EATIS 2022: 1:1-1:6 - [c51]José Nuno Costa, João Gomes Fonseca, Simão Valente, Luís Ferreira, Bruno Oliveira, Helena R. Torres, Pedro Morais, Victor Alves, João L. Vilaça:
Ultrasound training simulator using augmented reality glasses: an accuracy and precision assessment study. EMBC 2022: 4461-4464 - [c50]Guilherme Palumbo, Miguel Guimarães, Davide Carneiro, Paulo Novais, Victor Alves:
Real-Time Algorithm Recommendation Using Meta-Learning. ISAmI 2022: 249-258 - [c49]Victor Alves, José Miranda, Hossam Dawa, Filipe Fernandes, Fernanda Pombal, Jorge Ribeiro, Florentino Fdez-Riverola, Cesar Analide, Henrique Vicente, José Neves:
An Entropic Approach to Technology Enable Learning and Social Computing. MLIS 2022: 140-153 - [i8]André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
GAN-based generation of realistic 3D data: A systematic review and taxonomy. CoRR abs/2207.01390 (2022) - [i7]Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger:
Open-Source Skull Reconstruction with MONAI. CoRR abs/2211.14051 (2022) - 2021
- [j15]Adriano Pinto, Joana Amorim, Arsany Hakim, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning. IEEE Access 9: 26260-26270 (2021) - [j14]Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical Image Anal. 69: 101888 (2021) - [j13]Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger:
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c48]Regina Sousa, Tiago Jesus, Victor Alves, José Machado:
Contactless Human-Computer Interaction Using a Deep Neural Network Pipeline for Real-Time Video Interpretation and Classification. ARTIIS 2021: 209-220 - [c47]Fátima Solange Silva, Tiago Gil Oliveira, Victor Alves:
Study of MRI-Based Biomarkers on Patients with Cerebral Amyloid Angiopathy Using Artificial Intelligence. WorldCIST (1) 2021: 186-196 - [c46]Tiago Jesus, Victor Alves:
Trends in the Use of 3D Printing with Medical Imaging. WorldCIST (4) 2021: 338-347 - [i6]Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Combining unsupervised and supervised learning for predicting the final stroke lesion. CoRR abs/2101.00489 (2021) - [i5]André Ferreira, Ricardo Magalhães, Sébastien Mériaux, Victor Alves:
Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN. CoRR abs/2112.13626 (2021) - 2020
- [j12]Nicolás F. Lori, José Neves, Alex H. Blin, Victor Alves:
Some considerations on quantum computing at sub-atomic scales and its impact in the future of Moore's law. Quantum Inf. Comput. 20(1&2): 1-13 (2020) - [c45]Nicolás F. Lori, José Neves, Victor Alves:
Some considerations on the estimation of the value associated to a clinical act. ANT/EDI40 2020: 1041-1046 - [c44]Vítor Castro, Carlos Pereira, Victor Alves:
Predicting Recurring Telecommunications Customer Support Problems Using Deep Learning. IDEAL (2) 2020: 184-193 - [c43]Nicolás F. Lori, Diana Ferreira, Victor Alves, José Machado:
Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics. IDEAL (2) 2020: 309-321 - [c42]José Neves, Florentino Fdez-Riverola, Victor Alves, Filipa Ferraz, Lia Sousa, António Costa, Jorge Ribeiro, Henrique Vicente:
A Multi-valued Logic Assessment of Organizational Performance via Workforce Social Networking. BDTA/WiCON 2020: 63-77 - [c41]Ana Ramos, Victor Alves:
A Study on CNN Architectures for Chest X-Rays Multiclass Computer-Aided Diagnosis. WorldCIST (3) 2020: 441-451 - [c40]Filipe Fernandes, Victor Alves, Joana Machado, Filipe Miranda, Dinis Vicente, Jorge Ribeiro, Henrique Vicente, José Neves:
A Thermodynamic Assessment of the Cyber Security Risk in Healthcare Facilities. WorldCIST (3) 2020: 452-465 - [c39]Tiago Jesus, Ricardo Magalhães, Victor Alves:
Spatial Normalization of MRI Brain Studies Using a U-Net Based Neural Network. WorldCIST (3) 2020: 493-502 - [i4]Sérgio Pereira, Adriano Pinto, Joana Amorim, Alexandrine Ribeiro, Victor Alves, Carlos A. Silva:
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks. CoRR abs/2006.11193 (2020)
2010 – 2019
- 2019
- [j11]Sérgio Pereira, Adriano Pinto, Joana Amorim, Alexandrine Ribeiro, Victor Alves, Carlos A. Silva:
Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks. IEEE Trans. Medical Imaging 38(12): 2914-2925 (2019) - [c38]José Neves, Filipa Ferraz, Almeida Dias, António Capita, Liliana Ávidos, Nuno Maia, Joana Machado, Victor Alves, Jorge Ribeiro, Henrique Vicente:
Assessing Individuals Learning's Impairments from a Social Entropic Perspective. ACIIDS (1) 2019: 62-73 - [c37]José Neves, Nuno Maia, Goreti Marreiros, Mariana Neves, Ana Fernandes, Jorge Ribeiro, Isabel Araújo, Nuno Araújo, Liliana Ávidos, Filipa Ferraz, António Capita, Nicolás F. Lori, Victor Alves, Henrique Vicente:
Entropy and Organizational Performance. HAIS 2019: 206-217 - [c36]Leonardo Nogueira Matos, Mariana Fontainhas Rodrigues, Ricardo Magalhães, Victor Alves, Paulo Novais:
Interpretability of a Deep Learning Model for Rodents Brain Semantic Segmentation. AIAI 2019: 307-318 - [c35]Ana Morais, Jan Egger, Victor Alves:
Automated Computer-aided Design of Cranial Implants Using a Deep Volumetric Convolutional Denoising Autoencoder. WorldCIST (3) 2019: 151-160 - [c34]João Fernandes, Victor Alves, Nadieh Khalili, Manon J. N. L. Benders, Ivana Isgum, Josien P. W. Pluim, Pim Moeskops:
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI. WorldCIST (2) 2019: 577-586 - 2018
- [j10]Sérgio Pereira, Raphael Meier, Richard McKinley, Roland Wiest, Victor Alves, Carlos A. Silva, Mauricio Reyes:
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. Medical Image Anal. 44: 228-244 (2018) - [c33]Raphael Espanha, Frank Thiele, Georgy Shakirin, Jens Roggenfelder, Sascha Zeiter, Pantelis Stavrinou, Victor Alves, Michael Perkuhn:
Combining Image and Non-image Clinical Data: An Infrastructure that Allows Machine Learning Studies in a Hospital Environment. DCAI 2018: 324-331 - [c32]Nicolás F. Lori, Ivo Ramalhosa, Paulo Marques, Victor Alves:
Deep Learning Based Pipeline for Fingerprinting Using Brain Functional MRI Connectivity Data. EUSPN/ICTH 2018: 539-544 - [c31]Ana Mendonça, Joana Pereira, Rita Reis, Victor Alves, António Abelha, Filipa Ferraz, João Neves, Jorge Ribeiro, Henrique Vicente, José Neves:
A Case-Based Reasoning Approach to GBM Evolution. ICCCI (2) 2018: 489-498 - [c30]Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. MLCN/DLF/iMIMIC@MICCAI 2018: 106-114 - [c29]Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. MICCAI (3) 2018: 107-115 - [c28]Sérgio Pereira, Victor Alves, Carlos A. Silva:
Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI. MICCAI (3) 2018: 706-714 - [c27]José Neves, Almeida Dias, Ana Morais, Francisca Fonseca, Patrícia Loreto, Victor Alves, Isabel Araújo, Joana Machado, Bruno Fernandes, Jorge Ribeiro, Cesar Analide, Filipa Ferraz, João Neves, Henrique Vicente:
Predicative Vagueness in Lung Metastases in Soft Tissue Sarcoma Screening. MIKE 2018: 80-89 - [c26]Raquel Ferreira, Martinho Braga, Victor Alves:
Forecast in the Pharmaceutical Area - Statistic Models vs Deep Learning. WorldCIST (3) 2018: 165-175 - [i3]Sérgio Pereira, Victor Alves, Carlos A. Silva:
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI. CoRR abs/1806.02318 (2018) - [i2]Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction. CoRR abs/1806.04413 (2018) - [i1]Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment. CoRR abs/1809.09468 (2018) - 2017
- [j9]Ana Coelho, Paulo Marques, Ricardo Magalhães, Nuno J. Sousa, José Neves, Victor Alves:
A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies. Inteligencia Artif. 20(59): 42-52 (2017) - [j8]Nicolás F. Lori, Agustín Ibáñez, Rui Lavrador, Lucia Fonseca, Carlos Santos, Rui Travasso, Artur Pereira, Rosaldo Rossetti, Nuno J. Sousa, Victor Alves:
Erratum to: Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data. J. Medical Syst. 41(3): 41:1 (2017) - [c25]Ivo Ramalhosa, Pedro Mateus, Victor Alves, Henrique Vicente, Filipa Ferraz, João Neves, José Neves:
Diagnosis of Alzheimer Disease Through an Artificial Neural Network Based System. AHFE (7) 2017: 162-174 - [c24]João Neves, Ricardo Faria, Victor Alves, Filipa Ferraz, Henrique Vicente, José Neves:
Chest X-Ray Image Analysis - A Vision of Logic Programming. ICAART (Revised Selected Papers) 2017: 48-61 - [c23]Ricardo Faria, Victor Alves, Filipa Ferraz, João Neves, Henrique Vicente, José Neves:
A Case Base Approach to Cardiovascular Diseases using Chest X-ray Image Analysis. ICAART (2) 2017: 266-274 - [c22]Marta Serapicos, Hugo Peixoto, Victor Alves:
A Hospital Service Kiosk in the Patient's Pocket. ISAmI 2017: 218-228 - [c21]Filipa Ferraz, António Costa, Victor Alves, Henrique Vicente, João Neves, José Neves:
Gaming in Dyscalculia: A Review on disMAT. WorldCIST (2) 2017: 232-241 - 2016
- [j7]Nicolás F. Lori, Agustín Ibáñez, Rui Lavrador, Lucia Fonseca, Carlos Santos, Rui Travasso, Artur Pereira, Rosaldo Rossetti, Nuno J. Sousa, Victor Alves:
Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data. J. Medical Syst. 40(11): 243:1-243:8 (2016) - [j6]Sérgio Pereira, Adriano Pinto, Victor Alves, Carlos A. Silva:
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images. IEEE Trans. Medical Imaging 35(5): 1240-1251 (2016) - [c20]Marisa Esteves, Henrique Vicente, José Machado, Victor Alves, José Neves:
A Case Based Methodology for Problem Solving Aiming at Knee Osteoarthritis Detection. SCDM 2016: 274-284 - [c19]Andréa Domingues, Henrique Vicente, João Neves, Victor Alves, José Neves:
Chest Breadths to Predict Individuals' Age - A Case Based View. CBI (2) 2016: 53-60 - [c18]Nicolás F. Lori, Rui Lavrador, Lucia Fonseca, Carlos Santos, Rui Travasso, Artur Pereira, Rosaldo Rossetti, Nuno J. Sousa, Victor Alves:
Reducing Computation Time by Monte Carlo Method: An Application in Determining Axonal Orientation Distribution Function. WorldCIST (2) 2016: 95-105 - [c17]Filipe Fernandes, Paulo Marques, Ricardo Magalhães, Nuno J. Sousa, Victor Alves:
Enabling Data Storage and Availability of Multimodal Neuroimaging Studies - A NoSQL Based Solution. WorldCIST (2) 2016: 107-116 - 2015
- [j5]Ricardo Magalhães, Paulo Marques, José Miguel Soares, Victor Alves, Nuno J. Sousa:
The Impact of Normalization and Segmentation on Resting-State Brain Networks. Brain Connect. 5(3): 166-176 (2015) - [c16]Ricardo Magalhães, Paulo Marques, Telma Veloso, José Miguel Soares, Nuno J. Sousa, Victor Alves:
Construction of Functional Brain Connectivity Networks. DCAI 2015: 303-310 - [c15]Paulo Marques, José Miguel Soares, Ricardo Magalhães, Nuno J. Sousa, Victor Alves:
A Framework for the Automation of Multimodalbrain Connectivity Analyses. IDC 2015: 365-373 - [c14]Ana Coelho, João Pedro Ribeiro, Jaime Campos, Sara Silva, Victor Alves:
3D Reconstruction of Bone Structures Based on Planar Radiography. ISAmI 2015: 135-144 - [c13]Sérgio Pereira, Adriano Pinto, Victor Alves, Carlos A. Silva:
Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI. Brainles@MICCAI 2015: 131-143 - 2014
- [j4]Joel Braga, Isabel Laranjo, Carla Rolanda, Luís Miguel da Silva Araújo Lopes, Jorge Correia-Pinto, Victor Alves:
Endoscopic Imaging Results: Web-Based Solution for Video Diffusion with Real-Time Assistance. J. Inf. Technol. Res. 7(1): 27-40 (2014) - [c12]Simão Afonso, Isabel Laranjo, Joel Braga, Victor Alves, José Neves:
Multilingual Voice Control for Endoscopic Procedures. IoT360 (1) 2014: 229-235 - [c11]Isabel Laranjo, Joel Braga, Domingos Assunção, Carla Rolanda, Luís Miguel da Silva Araújo Lopes, Jorge Correia-Pinto, Victor Alves:
Video Processing Architecture: A Solution for Endoscopic Procedures Results. ISAmI 2014: 117-125 - [c10]Joel Braga, Isabel Laranjo, Carla Rolanda, Luís Miguel da Silva Araújo Lopes, Jorge Correia-Pinto, Victor Alves:
A Novel Approach to Endoscopic Exams Archiving. WorldCIST (1) 2014: 239-248 - 2013
- [j3]Guida Gomes, Henrique Vicente, Joaquim Macedo, Victor Alves, José Neves:
A Logic Programming Approach to the Conservation of Buildings Based on an Extension of the Eindhoven Classification Model. Polibits 48: 31-38 (2013) - [c9]Isabel Laranjo, Joel Braga, Domingos Assunção, Andreia Silva, Carla Rolanda, Luís Miguel da Silva Araújo Lopes, Jorge Correia-Pinto, Victor Alves:
Web-Based Solution for Acquisition, Processing, Archiving and Diffusion of Endoscopy Studies. DCAI 2013: 317-324 - 2012
- [j2]José Neves, Jorge Ribeiro, Paulo Pereira, Victor Alves, José Machado, António Abelha, Paulo Novais, Cesar Analide, Manuel Santos, Manuel Fernández Delgado:
Evolutionary intelligence in asphalt pavement modeling and quality-of-information. Prog. Artif. Intell. 1(1): 119-135 (2012) - 2011
- [j1]Susana Rodrigues, Paulo Brandão, Luís Nelas, José Neves, Victor Alves:
A logic programming approach to medical errors in imaging. Int. J. Medical Informatics 80(9): 669-679 (2011) - 2010
- [c8]Susana Rodrigues, Paulo Brandão, Luís Nelas, José Neves, Victor Alves:
A Logic Programming Based Adverse Event Reporting and Learning System. ACIS-ICIS 2010: 189-194 - [c7]Susana Oliveira, Jaime Rocha, Victor Alves:
Brain Magnetic Resonance Spectroscopy Classifiers. SOCO 2010: 201-208
2000 – 2009
- 2009
- [c6]Hugo Peixoto, Victor Alves:
Computer-Aided Diagnosis in Brain Computed Tomography Screening. ICDM 2009: 62-72 - 2007
- [c5]Victor Alves, Filipe Marreiros, Luís Nelas, Mourylise Heymer, José Neves:
Medical Imaging Environment - A Multi-Agent System for a Computer Clustering Based Multi-display. EPIA Workshops 2007: 332-343 - 2005
- [c4]Victor Alves, José Neves, Luís Nelas, Filipe Marreiros:
Web-based Medical Teaching using a Multi-Agent System. SGAI Conf. (Applications) 2005: 181-194 - 2002
- [b1]Victor Alves:
Resolução de problemas em ambientes distribuídos: uma contribuição nas áreas da inteligência artificial e da saúde. University of Minho, Portugal, 2002 - 2001
- [c3]Victor Alves, José Neves, Moreira Maia, Luís Nelas:
A Computational Environment for Medical Diagnosis Support Systems. ISMDA 2001: 42-47
1990 – 1999
- 1999
- [c2]José Neves, Paulo Cortez, Miguel Rocha, António Abelha, José Machado, Victor Alves, Sousa Basto, Henrique Botelho, João Neves:
A Unified Framework for Data Modeling on Medical Information Systems. MIE 1999: 68-71 - 1993
- [c1]Victor Alves, Abílio Ribeiro, José Neves:
Distributed Problem Solving: A Universal Computer Architecture. LPE 1993: 88-93
Coauthor Index
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