Andrea Loddo

According to our database, Andrea Loddo authored at least 38 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SAMMI: Segment Anything Model for Malaria Identification.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

An effective and friendly tool for seed image analysis.

Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta

Vis. Comput., 2023

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

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

J. Imaging, 2023

On The Potential of Image Moments for Medical Diagnosis.

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu

J. Imaging, 2023

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024.

Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann

CoRR, 2023

1^st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Specialise to Generalise: The Person Re-identification Case.

Lorenzo Putzu, Andrea Loddo, Rita Delussu, Giorgio Fumera

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

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

Lorenzo Putzu, Andrea Loddo

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data.

Luca Zedda, Alessandra Perniciano, Andrea Loddo, Barbara Pes

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis.

Andrea Loddo, Corrado Fadda, Cecilia Di Ruberto

J. Imaging, 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.

Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

CoRR, 2022

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

Andrea Loddo, Sara Buttau, Cecilia Di Ruberto

Comput. Biol. Medicine, 2022

Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence.

Andrea Loddo, Cecilia Di Ruberto, Giuliano Armano, Andrea Manconi

IEEE Access, 2022

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

Andrea Loddo, Giacomo Meloni, Barbara Pes

IEEE Access, 2022

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

Samaneh Zolfaghari, Andrea Loddo, Barbara Pes, Daniele Riboni

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

A Shallow Learning Investigation for COVID-19 Classification.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

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

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021

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

Andrea Loddo, Cecilia Di Ruberto

J. Imaging, 2021

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

Andrea Loddo, Mauro Loddo, Cecilia Di Ruberto

Comput. Electron. Agric., 2021

Cryptocurrency Scams: Analysis and Perspectives.

Massimo Bartoletti, Stefano Lande, Andrea Loddo, Livio Pompianu, Sergio Serusi

IEEE Access, 2021

Feature Selection in Mobile Activity Recognition: A Comparative Study.

Andrea Loddo, Barbara Pes, Daniele Riboni

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval.

Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Computer Analysis of Images and Patterns, 2021

How Realistic Should Synthetic Images Be for Training Crowd Counting Models?

Emanuele Ledda, Lorenzo Putzu, Rita Delussu, Andrea Loddo, Giorgio Fumera

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

A new automatic approach to seed image analysis: From acquisition to segmentation.

A. M. P. G. Vale, Mariano Ucchesu, Cecilia Di Ruberto, Andrea Loddo, J. M. Soares, Gianluigi Bacchetta

CoRR, 2020

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

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu

Comput. Biol. Medicine, 2020

2019

An Open Source Plugin for Image Analysis in Biology.

Giorgia Campanile, Cecilia Di Ruberto, Andrea Loddo

Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019

A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images.

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2018

Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology.

Andrea Loddo, Cecilia Di Ruberto, Michel Kocher

Sensors, 2018

White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation.

Simone Porcu, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis.

Andrea Loddo, Cecilia Di Ruberto, Michel Kocher, Guy Prod'Hom

Proceedings of the Processing and Analysis of Biomedical Information, 2018

2017

Histological Image Analysis by Invariant Descriptors.

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

2016

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

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu

Mach. Vis. Appl., 2016

A Computer-Aided System for Differential Count from Peripheral Blood Cell Images.

Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto, Gianni Fenu

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

2015

Learning by Sampling for White Blood Cells Segmentation.

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation.

Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu

Proceedings of the Computer Analysis of Images and Patterns, 2015