Pedro Furtado 0001 - researchr alias

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Viewing Publication 1 - 22 from 22

2023

Merging/Filtering/Voting to Improve Segmentation of Diabetic Retinopathy Eye Fundus LesionsPedro Furtado 0001. icbbt 2023: 7-12 [doi]

2021

Deep segmentation of abdominal organs from MRI: off-the- shelf architectures and improvementsPedro Furtado 0001. miip 2021: [doi]

Using Segmentation Networks on Diabetic Retinopathy Lesions: Metrics, Results and ChallengesPedro Furtado 0001. biostec 2021: 128-135 [doi]

Testing Segmentation Popular Loss and Variations in Three Multiclass Medical Imaging ProblemsPedro Furtado 0001. jimaging, 7(2):16, 2021. [doi]

2020

Classification vs Deep Learning in Cancer Degree on Limited Histopathology DatasetsPedro Furtado 0001. In AI and ML for Digital Pathology. pages 175-194, 2020. [doi]

Testing Deep Segmentation of Computer Tomography ScansPedro Furtado 0001. icbbt 2020: 106-111 [doi]

Predicting COVID-19 Evolution during Mid-March CrisisPedro Furtado 0001. icbbt 2020: 1-6 [doi]

Food Recognition: Can Deep Learning or Bag-of-Words Match Humans?Pedro Furtado 0001. biostec 2020: 102-108 [doi]

Deep semantic segmentation of Diabetic Retinopathy lesions: what metrics really tell usPedro Furtado 0001. mibam 2020: [doi]

Segmentation of Diabetic Retinopathy Lesions by Deep Learning: Achievements and LimitationsPedro Furtado 0001. biostec 2020: 95-101 [doi]

Multi-class segmentation of Diabetic Retinopathy lesions: effects of metrics, improvements and lossPedro Furtado 0001. icmla 2020: 1410-1417 [doi]

Derivative, Regression and Time Series Analysis in SARS-CoV-2Pedro Furtado 0001. dawak 2020: 208-220 [doi]

Human Visual System vs Convolution Neural Networks in food recognition task: An empirical comparisonPedro Furtado 0001, Manuel Caldeira, Pedro Martins 0003. cviu, 191:102878, 2020. [doi]

Image Classification Benchmark (ICB)Manuel Caldeira, Pedro Martins 0003, Rogério Luís de Carvalho Costa, Pedro Furtado 0001. eswa, 142, 2020. [doi]

A rewrite/merge approach for supporting real-time data warehousing via lightweight data integrationAlfredo Cuzzocrea, Nickerson Ferreira, Pedro Furtado 0001. tjs, 76(5):3898-3922, 2020. [doi]

2019

Comparing Deep Learners with Variability Grading for Cancer Detection on Limited Histopathology DatasetPedro Furtado 0001. icbbt 2019: 69-73 [doi]

Influence of noise, light and shadows on image segmentation algorithmsPedro Furtado 0001, Pedro Martins 0003, José Cecílio. ijapr, 6(1):30-42, 2019. [doi]

Comparison Study on Convolution Neural Networks (CNNs) vs. Human Visual System (HVS)Manuel Caldeira, Pedro Martins 0003, José Cecílio, Pedro Furtado 0001. bdas 2019: 111-125 [doi]

2018

SINGLE vs. MapReduce vs. Relational: Predicting Query Execution TimeMaryam Abbasi, Pedro Martins 0003, José Cecílio, João Pedro Costa, Pedro Furtado 0001. bdas 2018: 63-74 [doi]

RobustPathFinder: Handling Uncertainty in Indoor Positioning TechniquesJosé Cecílio, Karen Duarte, Pedro Martins 0003, Pedro Furtado 0001. ant 2018: 408-415 [doi]

2010

Deploying Data Warehouses in Grids with Efficiency and AvailabilityRogério Luís de Carvalho Costa, Pedro Furtado 0001. In Tho Manh Nguyen, editor, Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development - Innovative Methods and Applications. pages 208-229, Information Science Reference, 2010. [doi]

2009

Node Partitioned Data WarehousesPedro Furtado 0001. In Terence A. Halpin, editor, Selected Readings on Database Technologies and Applications. pages 490-498, IGI, 2009. [doi]

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