Dadi, Maichol; Lumini, Alessandra; Franco, Annalisa, RootEx: An automated method for barley root system extraction and evaluation, «COMPUTERS AND ELECTRONICS IN AGRICULTURE», 2025, 230, pp. 1 - 14 [articolo]
Dadi, M.; Franco, A.; Sangiorgi, G.; Salvi, S.; Lumini, A., RootTracer: An intuitive solution for root image annotation, «SMART AGRICULTURAL TECHNOLOGY», 2025, 10, Article number: 100705, pp. 1 - 9 [articolo]Open Access
Roberto, G. F.; Neves, L. A.; Lumini, A.; Martins, A. S.; Nascimento, M. Z. D., An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images, «PATTERN ANALYSIS AND APPLICATIONS», 2024, 27, Article number: 8, pp. 1 - 18 [articolo]
Rozendo, G. B.; Garcia, B. L. D. O.; Borgue, V. A. T.; Lumini, A.; Tosta, T. A. A.; Nascimento, M. Z. D.; Neves, L. A., Data Augmentation in Histopathological Classification: An Analysis Exploring GANs with XAI and Vision Transformers, «APPLIED SCIENCES», 2024, 14, Article number: 8125, pp. 1 - 20 [articolo]
Dadi, M.; Lumini, A.; Franco, A.; Sangiorgi, G., Deep learning for Root System Extraction from Barley Plants, in: 2024 14th International Conference on Pattern Recognition Systems, ICPRS 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 6 (atti di: 14th International Conference on Pattern Recognition Systems, ICPRS 2024, gbr, 2024) [Contributo in Atti di convegno]
F. Roberto, G.; C. Pereira, D.; S. Martins, A.; A. A. Tosta, T.; Soares, C.; Lumini, A.; B. Rozendo, G.; A. Neves, L.; Z. Nascimento, M., Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification, in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2023., Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 14469, pp. 163 - 177 (atti di: 26th Iberoamerican Congress on Pattern Recognition, CIARP 2023, prt, 2023) [Contributo in Atti di convegno]Open Access
Roberto, G. F.; Pereira, D. C.; Martins, A. S.; Tosta, T. A. A.; Soares, C.; Lumini, A.; Rozendo, G. B.; Neves, L. A.; Nascimento, M. Z., Exploring percolation features with polynomial algorithms for classifying Covid-19 in chest X-ray images, «PATTERN RECOGNITION LETTERS», 2024, 189, pp. 248 - 255 [articolo]
Miguel, P. L.; Lumini, A.; Medalha, G. C.; Roberto, G. F.; Rozendo, G. B.; Cansian, A. M.; Tosta, T. A. A.; do Nascimento, M. Z.; Neves, L. A., Improving Explainability of the Attention Branch Network with CAM Fostering Techniques in the Context of Histological Images, in: Proceedings of the 26th International Conference on Enterprise Information Systems, scitepress, 2024, 1, pp. 456 - 464 (atti di: 26th International Conference on Enterprise Information Systems, Angers, France, 27-29 April, 2024) [Contributo in Atti di convegno]
Lumini, Alessandra; Roberto, Guilherme Freire; Neves, Leandro Alves; Martins, Alessandro Santana; do Nascimento, Marcelo Zanchetta, Percolation Images: Fractal Geometry Features for Brain Tumor Classification, in: The Fractal Geometry of the Brain, Switzerland, Springer, 2024, pp. 557 - 570 (ADVANCES IN NEUROBIOLOGY) [capitolo di libro]Open Access
Rozendo, G. B.; Roberto, G. F.; do Nascimento, M. Z.; Alves Neves, L.; Lumini, A., Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy, in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2023., Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 14469, pp. 229 - 243 (atti di: 26th Iberoamerican Congress on Pattern Recognition, CIARP 2023, prt, 2023) [Contributo in Atti di convegno]Open Access
Rozendo, G. B.; Lumini, A.; Roberto, G. F.; Tosta, T. A. A.; do Nascimento, M. Z.; Neves, L. A., X-GAN: Generative Adversarial Networks Training Guided with Explainable Artificial Intelligence, in: International Conference on Enterprise Information Systems, ICEIS - Proceedings, Science and Technology Publications, Lda, «ICEIS», 2024, 1, pp. 674 - 681 (atti di: 26th International Conference on Enterprise Information Systems, ICEIS 2024, fra, 2024) [Contributo in Atti di convegno]
Nanni L.; Loreggia A.; Lumini A.; Dorizza A., A Standardized Approach for Skin Detection: Analysis of the Literature and Case Studies, «JOURNAL OF IMAGING», 2023, 9, Article number: 35, pp. 1 - 25 [articolo]Open Access
Silva A.B.; Rozendo G.B.; Tosta T.A.A.; Martins A.S.; Loyola A.M.; Cardoso S.V.; Lumini A.; Neves L.A.; De Faria P.R.; Nascimento M.Z.D., CNN Ensembles for Nuclei Segmentation on Histological Images of OED, in: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023, pp. 601 - 604 (atti di: IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L'Aquila, Italy, 22-24 June 2023) [Contributo in Atti di convegno]Open Access
Nanni L.; Brahnam S.; Lumini A.; Loreggia A., Coupling RetinaFace and Depth Information to Filter False Positives, «APPLIED SCIENCES», 2023, 13, Article number: 2987, pp. 1 - 14 [articolo]Open Access
Nanni L.; Lumini A.; Loreggia A.; Brahnam S.; Cuza D., Deep ensembles and data augmentation for semantic segmentation, in: Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, Amsterdam, Elsevier, 2023, pp. 215 - 234 [capitolo di libro]
