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, 2024, 14469, pp. 163 - 177 (atti di: 26th Iberoamerican Congress on Pattern Recognition, CIARP 2023, prt, 2023) [Contribution to conference proceedings]
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) [Chapter or essay]
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, 2024, 14469, pp. 229 - 243 (atti di: 26th Iberoamerican Congress on Pattern Recognition, CIARP 2023, prt, 2023) [Contribution to conference proceedings]
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 [Scientific article]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) [Contribution to conference proceedings]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 [Scientific article]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 [Chapter or essay]
Lumini A.; Nanni L.; Maguolo G., Deep learning for plankton and coral classification, «APPLIED COMPUTING AND INFORMATICS», 2023, ahead-of-print, pp. 1 - 19 [Scientific article]Open Access
Nanni L.; Lumini A.; Maguolo G., Digital recognition of breast cancer using takhisisnet: An innovative multi-head convolutional neural network for classifying breast ultrasonic images, in: Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, Hershey, IGI Global, 2023, pp. 1286 - 1304 [Chapter or essay]Open Access
Nanni L.; Fantozzi C.; Loreggia A.; Lumini A., Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation, «SENSORS», 2023, 23, Article number: 4688 , pp. 1 - 19 [Scientific article]Open Access
Nanni L.; Lumini A.; Fantozzi C., Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation, «INFORMATION», 2023, 14, Article number: 657 , pp. 1 - 18 [Scientific article]Open Access
Pereira D.C.; Longo L.C.; Tosta T.A.A.; Martins A.S.; Silva A.B.; Rozendo G.B.; Roberto G.F.; Lumini A.; Neves L.A.; Do Nascimento M.Z., Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images, in: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), New York, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 495 - 500 (atti di: 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, ita, 2023) [Contribution to conference proceedings]Open Access
Brahnam S.; Nanni L.; McMurtrey S.; Lumini A.; Brattin R.; Slack M.; Barrier T., Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors, «APPLIED COMPUTING AND INFORMATICS», 2023, 1, pp. 1 - 22 [Scientific article]Open Access
Nanni L.; Cuza D.; Lumini A.; Loreggia A.; Brahman S., Polyp Segmentation with Deep Ensembles and Data Augmentation, in: Intelligent Systems Reference Library, Berlin, Springer Science and Business Media Deutschland GmbH, 2023, pp. 133 - 153 (INTELLIGENT SYSTEMS REFERENCE LIBRARY) [Chapter or essay]
Loris Nanni; Alessandra Lumini; Andrea Loreggia; Alberto Formaggio; Daniela Cuza, An Empirical Study on Ensemble of Segmentation Approaches, «SIGNALS», 2022, 3, pp. 341 - 358 [Scientific article]Open Access
