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Cecilia Di Ruberto
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2020 – today
- 2024
- [j23]Luca Zedda, Andrea Loddo
, Cecilia Di Ruberto
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites. Biomed. Signal Process. Control. 94: 106289 (2024) - [j22]Andrea Loddo
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation. Inf. 15(6): 360 (2024) - [j21]Andrea Loddo
Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies. J. Imaging 10(8): 195 (2024) - [j20]Luca Zedda
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification. Knowl. Based Syst. 295: 111833 (2024) - [c42]Luca Zedda, Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto, Manuela Sanguinetti, Maurizio Atzori:
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes. SemEval@NAACL 2024: 853-858 - [c41]Luca Zedda, Andrea Loddo
SAMMI: Segment Anything Model for Malaria Identification. VISIGRAPP (3): VISAPP 2024: 367-374 - [c40]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
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. WACV (Workshops) 2024: 869-891 - 2023
- [j19]Cecilia Di Ruberto
On The Potential of Image Moments for Medical Diagnosis. J. Imaging 9(3): 70 (2023) - [j18]Luca Zedda
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection. J. Imaging 9(12): 266 (2023) - [j17]Andrea Loddo
An effective and friendly tool for seed image analysis. Vis. Comput. 39(1): 335-352 (2023) - [c39]Luca Zedda, Andrea Loddo
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection. ICIAP Workshops (2) 2023: 59-70 - [c38]Luca Zedda, Andrea Loddo
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology. ICIAP (2) 2023: 223-234 - [c37]Luca Zedda, Andrea Loddo
FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking. ICIAP Workshops (1) 2023: 282-293 - [c36]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [i5]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:
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. CoRR abs/2311.14762 (2023) - 2022
- [j16]Andrea Loddo
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence. IEEE Access 10: 122612-122626 (2022) - [j15]Andrea Loddo
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method. Comput. Biol. Medicine 141: 105032 (2022) - [j14]Andrea Loddo
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis. J. Imaging 8(3): 66 (2022) - [c35]Luca Zedda
A Shallow Learning Investigation for COVID-19 Classification. ICIAP Workshops (1) 2022: 326-337 - [c34]Luca Zedda
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set. ICIAP (2) 2022: 358-370 - [i4]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
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR abs/2211.13508 (2022) - 2021
- [j13]Andrea Loddo
A novel deep learning based approach for seed image classification and retrieval. Comput. Electron. Agric. 187: 106269 (2021) - [j12]Andrea Loddo
On the Efficacy of Handcrafted and Deep Features for Seed Image Classification. J. Imaging 7(9): 171 (2021) - [c33]Lorenzo Putzu
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval. CAIP (1) 2021: 287-297 - [i3]Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta:
An effective and friendly tool for seed image analysis. CoRR abs/2103.17213 (2021) - 2020
- [j11]Cecilia Di Ruberto
Detection of red and white blood cells from microscopic blood images using a region proposal approach. Comput. Biol. Medicine 116: 103530 (2020) - [i2]A. M. P. G. Vale, Mariano Ucchesu, Cecilia Di Ruberto, Andrea Loddo, J. M. Soares, Gianluigi Bacchetta:
A new automatic approach to seed image analysis: From acquisition to segmentation. CoRR abs/2012.06414 (2020)
2010 – 2019
- 2019
- [c32]Cecilia Di Ruberto
A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images. ICIAP (2) 2019: 47-58 - [c31]Giorgia Campanile, Cecilia Di Ruberto
An Open Source Plugin for Image Analysis in Biology. WETICE 2019: 162-167 - 2018
- [j10]Cecilia Di Ruberto
Fast and accurate computation of orthogonal moments for texture analysis. Pattern Recognit. 83: 498-510 (2018) - [j9]Andrea Loddo
Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology. Sensors 18(2): 513 (2018) - [c30]Andrea Loddo
MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis. SaMBa@MICCAI 2018: 57-65 - [c29]Simone Porcu
White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation. VISIGRAPP (4: VISAPP) 2018: 227-234 - [i1]Cecilia Di Ruberto, Lorenzo Putzu, Giuseppe Rodriguez:
Fast and accurate computation of orthogonal moments for texture analysis. CoRR abs/1803.00638 (2018) - 2017
- [j8]Cecilia Di Ruberto
Histogram of Radon transform and texton matrix for texture analysis and classification. IET Image Process. 11(9): 760-766 (2017) - [c28]Cecilia Di Ruberto
Histological Image Analysis by Invariant Descriptors. ICIAP (1) 2017: 345-356 - [c27]Lorenzo Putzu
Rotation Invariant Co-occurrence Matrix Features. ICIAP (1) 2017: 391-401 - 2016
- [j7]Cecilia Di Ruberto
A leucocytes count system from blood smear images - Segmentation and counting of white blood cells based on learning by sampling. Mach. Vis. Appl. 27(8): 1151-1160 (2016) - [c26]Lorenzo Putzu
A Mobile Application for Leaf Detection in Complex Background Using Saliency Maps. ACIVS 2016: 570-581 - [c25]Andrea Loddo
A Computer-Aided System for Differential Count from Peripheral Blood Cell Images. SITIS 2016: 112-118 - 2015
- [c24]Cecilia Di Ruberto
A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation. CAIP (2) 2015: 415-425 - [c23]Cecilia Di Ruberto
On Different Colour Spaces for Medical Colour Image Classification. CAIP (1) 2015: 477-488 - [c22]Cecilia Di Ruberto
Learning by Sampling for White Blood Cells Segmentation. ICIAP (1) 2015: 557-567 - [c21]Cecilia Di Ruberto
Comparison of Statistical Features for Medical Colour Image Classification. ICVS 2015: 3-13 - 2014
- [j6]Lorenzo Putzu
Leucocyte classification for leukaemia detection using image processing techniques. Artif. Intell. Medicine 62(3): 179-191 (2014) - [c20]Cecilia Di Ruberto
Accurate Blood Cells Segmentation through Intuitionistic Fuzzy Set Threshold. SITIS 2014: 57-64 - [c19]Cecilia Di Ruberto, Lorenzo Putzu:
A Fast Leaf Recognition Algorithm based on SVM Classifier and High Dimensional Feature Vector. VISAPP (1) 2014: 601-609 - [c18]Cecilia Di Ruberto, Giuseppe Fodde:
Statistical Features for Image Retrieval - A Quantitative Comparison. VISAPP (1) 2014: 610-617 - 2013
- [c17]Cecilia Di Ruberto
Evaluation of Statistical Features for Medical Image Retrieval. ICIAP (1) 2013: 552-561 - [c16]Lorenzo Putzu
Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image. ICIAP (1) 2013: 612-621 - [c15]Lorenzo Putzu, Cecilia Di Ruberto:
White Blood Cells Identication and Classication from Leukemic Blood Image. IWBBIO 2013: 99-106 - 2010
- [c14]Cecilia Di Ruberto, Andrea Morgera:
Dominant Points Detection on Digital Curves: A Comparison Between Optimal and Exact Approaches. IC-AI 2010: 570-575
2000 – 2009
- 2009
- [j5]Cecilia Di Ruberto
Decomposition of two-dimensional shapes for efficient retrieval. Image Vis. Comput. 27(8): 1097-1107 (2009) - [c13]Cecilia Di Ruberto
A New Algorithm for Polygonal Approximation Based on Ant Colony Optimization. ICIAP 2009: 633-641 - 2008
- [c12]Cecilia Di Ruberto
Moment-Based Techniques for Image Retrieval. DEXA Workshops 2008: 155-159 - 2005
- [c11]Cecilia Di Ruberto, Andrea Morgera:
A Comparison of 2-D Moment-Based Description Techniques. ICIAP 2005: 212-219 - 2004
- [j4]Cecilia Di Ruberto
Recognition of shapes by attributed skeletal graphs. Pattern Recognit. 37(1): 21-31 (2004) - 2003
- [c10]Cecilia Di Ruberto
Attributed skeletal graphs for shape modelling and matching. ICIAP 2003: 554-559 - 2002
- [j3]Cecilia Di Ruberto
Analysis of infected blood cell images using morphological operators. Image Vis. Comput. 20(2): 133-146 (2002) - 2001
- [c9]Andrew G. Dempster, Cecilia Di Ruberto
Using granulometries in processing images of malarial blood. ISCAS (5) 2001: 291-294 - [c8]Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra:
Morphological Image Processing for Evaluating Malaria Disease. IWVF 2001: 739-748 - 2000
- [c7]Cecilia Di Ruberto, Andrew G. Dempster, Shahid Khan, Bill Jarra:
Segmentation of Blood Images Using Morphological Operators. ICPR 2000: 3401-3404 - [c6]Cecilia Di Ruberto
Automatic Thresholding of Infected Blood Images Using Granulometry and Regional Extrema. ICPR 2000: 3445-3448
1990 – 1999
- 1999
- [c5]Cecilia Di Ruberto
Image Segmentation by Texture Analysis. ICIAP 1999: 376-381 - 1998
- [j2]Sergio Vitulano, Michele Nappi, Cecilia Di Ruberto
Edge Detection: Local and Global Operators. Int. J. Pattern Recognit. Artif. Intell. 12(5): 677-693 (1998) - 1997
- [j1]Sergio Vitulano, Cecilia Di Ruberto
Different methods to segment biomedical images. Pattern Recognit. Lett. 18(11-13): 1125-1131 (1997) - [c4]Cecilia Di Ruberto
Image Segmentation by Means of Fuzzy Entropy Measure. ICIAP (1) 1997: 214-222 - 1996
- [c3]Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi:
Biomedical image processing [human perception modeling]. ICECS 1996: 1116-1119 - 1995
- [c2]Sergio Vitulano, Cecilia Di Ruberto, Michele Nappi:
A.I. Based Image Segmentation. ICIAP 1995: 429-434 - [c1]Sergio Vitulano, Cecilia Di Ruberto
Computer Aided Diagnosis in Radiology. ICSC 1995: 520-521
Coauthor Index
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last updated on 2024-11-14 20:55 CET by the dblp team
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