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Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

Sensors (Basel, Switzerland), 2018-02, Vol.18 (2), p.513

2018

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Cryptocurrency Scams: Analysis and Perspectives

IEEE access, 2021, Vol.9, p.148353-148373

2021

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On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study

Applied sciences, 2022-04, Vol.12 (7), p.3269

2022

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Deep Learning for COVID-19 Diagnosis from CT Images

Applied sciences, 2021-09, Vol.11 (17), p.8227

2021

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On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

AI (Basel), 2021-09, Vol.2 (3), p.394-412

2021

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On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

Journal of imaging, 2021-08, Vol.7 (9), p.171

2021

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Blob Detection and Deep Learning for Leukemic Blood Image Analysis

Applied sciences, 2020-02, Vol.10 (3), p.1176

2020

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An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

Journal of imaging, 2022-03, Vol.8 (3), p.66

2022

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Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis

IEEE access, 2022, Vol.10, p.1-1

2022

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Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence

IEEE access, 2022, Vol.10, p.122612-122626

2022

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YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection

Journal of imaging, 2023-11, Vol.9 (12), p.266

2023

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On The Potential of Image Moments for Medical Diagnosis

Journal of imaging, 2023-03, Vol.9 (3), p.70

2023

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An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

Information (Basel), 2024-06, Vol.15 (6), p.360

2024

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A novel deep learning based approach for seed image classification and retrieval

Computers and electronics in agriculture, 2021-08, Vol.187, p.106269, Article 106269

2021

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Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method

Computers in biology and medicine, 2022-02, Vol.141, p.105032-105032, Article 105032

2022

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Detection of red and white blood cells from microscopic blood images using a region proposal approach

Computers in biology and medicine, 2020-01, Vol.116, p.103530-103530, Article 103530

2020

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A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites

Biomedical signal processing and control, 2024-08, Vol.94, p.106289, Article 106289

2024

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Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification

Knowledge-based systems, 2024-07, Vol.295, p.111833, Article 111833

2024

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Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario

Image Analysis and Processing - ICIAP 2023 Workshops, p.3-14

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A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set

Image Analysis and Processing – ICIAP 2022, p.358-370

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A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling

Machine vision and applications, 2016-11, Vol.27 (8), p.1151-1160

2016

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A Shallow Learning Investigation for COVID-19 Classification

Image Analysis and Processing. ICIAP 2022 Workshops, p.326-337

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Feature Selection in Mobile Activity Recognition: A Comparative Study

2021 22nd IEEE International Conference on Mobile Data Management (MDM), 2021, p.181-186

2021

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A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home

2022 23rd IEEE International Conference on Mobile Data Management (MDM), 2022, p.343-348

2022

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An Open Source Plugin for Image Analysis in Biology

2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2019, p.162-167

2019

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Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

Cryptocurrency Scams: Analysis and Perspectives

On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study

Deep Learning for COVID-19 Diagnosis from CT Images

On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

Blob Detection and Deep Learning for Leukemic Blood Image Analysis

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis

Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence

YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection

On The Potential of Image Moments for Medical Diagnosis

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

A novel deep learning based approach for seed image classification and retrieval

Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method

Detection of red and white blood cells from microscopic blood images using a region proposal approach

A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites

Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification

Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario

A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set

A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling

A Shallow Learning Investigation for COVID-19 Classification

Feature Selection in Mobile Activity Recognition: A Comparative Study

A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home

An Open Source Plugin for Image Analysis in Biology

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