Altini, Nicola
Altini, Nicola
Dipartimento di Ingegneria Elettrica e dell'Informazione
Ricercatori a tempo determinato
0000-0001-7353-4968
A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants
2023-01-01 Zaccaria, Gian Maria; Vegliante, Maria Carmela; Mezzolla, Giuseppe; Stranieri, Marianna; Volpe, Giacomo; Altini, Nicola; Gargano, Grazia; Pappagallo, Susanna Anita; Bucci, Antonella; Esposito, Flavia; Opinto, Giuseppina; Clemente, Felice; Negri, Antonio; Mondelli, Paolo; De Candia, Maria Stella; Bevilacqua, Vitoantonio; Guarini, Attilio; Ciavarella, Sabino
A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies
2020-01-01 Altini, Nicola; Cascarano, Giacomo Donato; Brunetti, Antonio; De Feudis, Irio; Buongiorno, Domenico; Rossini, Michele; Pesce, Francesco; Gesualdo, Loreto; Bevilacqua, Vitoantonio
A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net
2022-01-01 Altini, Nicola; Brunetti, Antonio; Napoletano, Valeria Pia; Girardi, Francesca; Allegretti, Emanuela; Hussain, Sardar Mehboob; Brunetti, Gioacchino; Triggiani, Vito; Bevilacqua, Vitoantonio; Buongiorno, Domenico
A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype
2022-01-01 Brunetti, Antonio; Altini, Nicola; Buongiorno, Domenico; Garolla, Emilio; Corallo, Fabio; Gravina, Matteo; Bevilacqua, Vitoantonio; Prencipe, Berardino
A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans
2020-01-01 Prencipe, Berardino; Altini, Nicola; Cascarano, Giacomo Donato; Guerriero, Andrea; Brunetti, Antonio
A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma
2024-01-01 Zaccaria, Gian Maria; Berloco, Francesco; Buongiorno, Domenico; Brunetti, Antonio; Altini, Nicola; Bevilacqua, Vitoantonio
A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation
2020-01-01 Altini, Nicola; Prencipe, Berardino; Brunetti, Antonio; Brunetti, Gioacchino; Triggiani, Vito; Carnimeo, Leonarda; Marino, Francescomaria; Guerriero, Andrea; Villani, Laura; Scardapane, Arnaldo; Cascarano, Giacomo Donato
An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients
2023-01-01 Prencipe, Berardino; Delprete, Claudia; Garolla, Emilio; Corallo, Fabio; Gravina, Matteo; Natalicchio, Maria Iole; Buongiorno, Domenico; Bevilacqua, Vitoantonio; Altini, Nicola; Brunetti, Antonio
Combining autoencoder and artificial neural network for classifying colorectal cancer stages
2020-01-01 Brunetti, A.; Caputo, M.; Marvulli, T. M.; Cascarano, G. D.; Altini, N.; De Summa, S.; Bevilacqua, V.
Computational imaging for precision medicine: the emergence of radiomics, pathomics and deep learning
2022-01-01 Altini, Nicola
Enabling Technologies for Optimized Diagnosis, Therapy and Rehabilitation: Obtained Results and Future Works
2024-01-01 Brunetti, Antonio; Buongiorno, Domenico; Altini, Nicola; Bevilacqua, Vitoantonio
Focal Dice Loss-Based V-Net for Liver Segments Classification
2022-01-01 Prencipe, Berardino; Altini, Nicola; Cascarano, Giacomo Donato; Brunetti, Antonio; Guerriero, Andrea; Bevilacqua, Vitoantonio
GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning
2025-01-01 Mateos-Aparicio-Ruiz, Israel; Pedraza, Anibal; Becker, Jan Ulrich; Altini, Nicola; Salido, Jesus; Bueno, Gloria
Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants
2021-01-01 Tarricone, Fabio; Brunetti, Antonio; Buongiorno, Domenico; Altini, Nicola; Bevilacqua, Vitoantonio; Del Vecchio, Antonio; Petrillo, Flavia
Liver, Kidney and Spleen Segmentation from CT scans and MRI with Deep Learning: A Survey
2022-01-01 Altini, Nicola; Prencipe, Berardino; Cascarano, Giacomo Donato; Brunetti, Antonio; Brunetti, Gioacchino; Triggiani, Vito; Carnimeo, Leonarda; Marino, Francescomaria; Guerriero, Andrea; Villani, Laura; Scardapane, Arnaldo; Bevilacqua, Vitoantonio
Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics
2021-01-01 Bevilacqua, Vitoantonio; Altini, Nicola; Prencipe, Berardino; Brunetti, Antonio; Villani, Laura; Sacco, Antonello; Morelli, Chiara; Ciaccia, Michele; Scardapane, Arnaldo
Machine learning glomerulonephritis diagnosis on single glomeruli
2024-01-01 Pedraza, A; Becker, J; Altini, N; Gibier, Jb; Quoc, H; Nguyen, H; Turkevi-Nagy, S; Rosenberg, Az; Seshan, Sv; Bueno, G
Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features
2021-01-01 Altini, Nicola; Maria Marvulli, Tommaso; Caputo, Mariapia; Mattioli, Eliseo; Prencipe, Berardino; Cascarano, Giacomo Donato; Brunetti, Antonio; Tommasi, Stefania; Bevilacqua, Vitoantonio; De Summa, Simona; Alfredo Zito, Francesco
NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM
2022-01-01 Altini, Nicola; Brunetti, Antonio; Puro, Emilia; Taccogna, Maria Giovanna; Saponaro, Concetta; Zito, Francesco Alfredo; De Summa, Simona; Bevilacqua, Vitoantonio
Performance and Limitations of a Supervised Deep Learning Approach for the Histopathological Oxford Classification of Glomeruli with IgA Nephropathy
2023-01-01 Altini, Nicola; Rossini, Michele; Turkevi-Nagy, Sándor; Pesce, Francesco; Pontrelli, Paola; Prencipe, Berardino; Berloco, Francesco; Seshan, Surya; Gibier, Jean-Baptiste; Pedraza Dorado, Anibal; Bueno, Gloria; Peruzzi, Licia; Rossi, Mattia; Eccher, Albino; Li, Feifei; Koumpis, Adamantios; Beyan, Oya; Barratt, Jonathan; Vo, Huy Quoc; Mohan, Chandra; Nguyen, Hien Van; Cicalese, Pietro Antonio; Ernst, Angela; Gesualdo, Loreto; Bevilacqua, Vitoantonio; Becker, Jan Ulrich