Archivio Istituzionale della RicercaSALVI, MASSIMO
SALVI, MASSIMO
Dipartimento di Elettronica e Telecomunicazioni
038112
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology
2024 Salvi, Massimo; Mogetta, Alessandro; Raghavendra, U.; Gudigar, Anjan; Acharya, U. Rajendra; Molinari, Filippo
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
2024 Seoni, Silvia; Shahini, Alen; Meiburger, Kristen M.; Marzola, Francesco; Rotunno, Giulia; Acharya, U. Rajendra; Molinari, Filippo; Salvi, Massimo
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals
2024 Seoni, Silvia; Molinari, Filippo; Rajendra Acharya, U.; Lih, Oh Shu; Barua, Prabal Datta; García, Salvador; Salvi, Massimo
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
2024 Salvi, Massimo; Acharya, Madhav R.; Seoni, Silvia; Faust, Oliver; Tan, Ru‐san; Barua, Prabal Datta; García, Salvador; Molinari, Filippo; Acharya, U. Rajendra
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
2024 Gudigar, Anjan; Kadri, Nahrizul Adib; Raghavendra, U.; Samanth, Jyothi; Maithri, M.; Inamdar, Mahesh Anil; Prabhu, Mukund A.; Hegde, Ajay; Salvi, Massimo; Yeong, Chai Hong; Barua, Prabal Datta; Molinari, Filippo; Acharya, U. Rajendra
CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images
2024 Ali, Tanweer; Pathan, Sameena; Salvi, Massimo; Meiburger, Kristen M.; Molinari, Filippo; Acharya, U. Rajendra
Clinical assessment of deep learning-based uncertainty maps in lung cancer segmentation
2024 Maruccio, Federica Carmen; Eppinga, Wietse; Laves, Max-Heinrich; Navarro, Roger Fonolla; Salvi, Massimo; Molinari, Filippo; Papaconstadopoulos, Pavlos
cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels
2024 Salvi, Massimo; Michielli, Nicola; Meiburger, Kristen M.; Cattelino, Cristina; Cotrufo, Bruna; Giacosa, Matteo; Giovanzana, Chiara; Molinari, Filippo
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
2024 Atmakuru, Anirudh; Chakraborty, Subrata; Faust, Oliver; Salvi, Massimo; Datta Barua, Prabal; Molinari, Filippo; Acharya, U. R.; Homaira, Nusrat
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm
2024 Salvi, Massimo; Branciforti, Francesco; Molinari, Filippo; Meiburger, Kristen M.
Improved assessment of donor liver steatosis using Banff consensus recommendations and deep learning algorithms
2024 Gambella, Alessandro; Salvi, Massimo; Molinaro, Luca; Patrono, Damiano; Cassoni, Paola; Papotti, Mauro; Romagnoli, Renato; Molinari, Filippo
Interpretation of Artificial Intelligence Models in Healthcare
2024 Abbasian Ardakani, Ali; Airom, Omid; Khorshidi, Hamid; Bureau, Nathalie J.; Salvi, Massimo; Molinari, Filippo; Acharya, U. Rajendra
Multi-modality approaches for medical support systems: A systematic review of the last decade
2024 Salvi, Massimo; Loh, Hui Wen; Seoni, Silvia; Barua, Prabal Datta; García, Salvador; Molinari, Filippo; Acharya, U. Rajendra
Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks
2024 Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; Cornacchia, Sara; De Titta, Maria Olimpia; Mastronuzzi, Girolamo; Meloni, Isotta; Moschetta, Miriam; Porciani, Niccolò; Sciscenti, Fabrizio; Spertini, Alessandro; Spilla, Andrea; Zagaria, Ilenia; Deloria, Abigail J.; Deng, Shiyu; Haindl, Richard; Szakacs, Gergely; Csiszar, Agnes; Liu, Mengyang; Drexler, Wolfgang; Molinari, Filippo; Meiburger, Kristen M.
Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images
2024 Salvi, Massimo; Meiburger, Kristen M.; Molinari, Filippo
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images
2023 Inamdar, Mahesh Anil; Raghavendra, U.; Gudigar, Anjan; Bhandary, Sarvesh; Salvi, Massimo; Deo, Ravinesh C.; Barua, Prabal Datta; Ciaccio, Edward J.; Molinari, Filippo; Acharya, U. Rajendra
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023)
2023 Seoni, Silvia; Jahmunah, Vicnesh; Salvi, Massimo; Barua, Prabal Datta; Molinari, Filippo; Acharya, U Rajendra
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase
2023 Salvi, Massimo; Manini, Claudia; López, Jose I.; Fenoglio, Dario; Molinari, Filippo
Impact of artificial intelligence‐based color constancy on dermoscopical assessment of skin lesions: A comparative study
2023 Branciforti, Francesco; Meiburger, Kristen M.; Zavattaro, Elisa; Veronese, Federica; Tarantino, Vanessa; Mazzoletti, Vanessa; Cristo, Nunzia Di; Savoia, Paola; Salvi, Massimo
Impact of Stain Normalization on Pathologist Assessment of Prostate Cancer: A Comparative Study
2023 Salvi, Massimo; Caputo, Alessandro; Balmativola, Davide; Scotto, Manuela; Pennisi, Orazio; Michielli, Nicola; Mogetta, Alessandro; Molinari, Filippo; Fraggetta, Filippo
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology / Salvi, Massimo; Mogetta, Alessandro; Raghavendra, U.; Gudigar, Anjan; Acharya, U. Rajendra; Molinari, Filippo. - In: APPLIED SOFT COMPUTING. - ISSN 1568-4946. - 165:(2024). [10.1016/j.asoc.2024.112081] | 1-gen-2024 | Salvi, MassimoMogetta, AlessandroMolinari, Filippo + | - |
| All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems / Seoni, Silvia; Shahini, Alen; Meiburger, Kristen M.; Marzola, Francesco; Rotunno, Giulia; Acharya, U. Rajendra; Molinari, Filippo; Salvi, Massimo. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - ELETTRONICO. - 250:(2024). [10.1016/j.cmpb.2024.108200] | 1-gen-2024 | Seoni, SilviaShahini, AlenMeiburger, Kristen M.Marzola, FrancescoRotunno, GiuliaMolinari, FilippoSalvi, Massimo + | (2024) paper - review harmonization.pdf |
| Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals / Seoni, Silvia; Molinari, Filippo; Rajendra Acharya, U.; Lih, Oh Shu; Barua, Prabal Datta; García, Salvador; Salvi, Massimo. - In: INFORMATION SCIENCES. - ISSN 0020-0255. - STAMPA. - 665:(2024). [10.1016/j.ins.2024.120383] | 1-gen-2024 | Seoni, SilviaMolinari, FilippoSalvi, Massimo + | 1-s2.0-S0020025524002962-main.pdf |
| Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023) / Salvi, Massimo; Acharya, Madhav R.; Seoni, Silvia; Faust, Oliver; Tan, Ru‐san; Barua, Prabal Datta; García, Salvador; Molinari, Filippo; Acharya, U. Rajendra. - In: WILEY INTERDISCIPLINARY REVIEWS. DATA MINING AND KNOWLEDGE DISCOVERY. - ISSN 1942-4787. - STAMPA. - 14:3(2024). [10.1002/widm.1530] | 1-gen-2024 | Salvi, MassimoSeoni, SilviaMolinari, Filippo + | manuscript_AF clean.docx; Salvi-Artificial.pdf |
| Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023) / Gudigar, Anjan; Kadri, Nahrizul Adib; Raghavendra, U.; Samanth, Jyothi; Maithri, M.; Inamdar, Mahesh Anil; Prabhu, Mukund A.; Hegde, Ajay; Salvi, Massimo; Yeong, Chai Hong; Barua, Prabal Datta; Molinari, Filippo; Acharya, U. Rajendra. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - STAMPA. - 172:(2024). [10.1016/j.compbiomed.2024.108207] | 1-gen-2024 | Salvi, MassimoMolinari, Filippo + | 1-s2.0-S0010482524002919-main.pdf |
| CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images / Ali, Tanweer; Pathan, Sameena; Salvi, Massimo; Meiburger, Kristen M.; Molinari, Filippo; Acharya, U. Rajendra. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 73970-73979. [10.1109/access.2024.3404023] | 1-gen-2024 | Salvi, MassimoMeiburger, Kristen M.Molinari, Filippo + | CAROTIDNet_A_Novel_Carotid_Symptomatic_Asymptomatic_Plaque_Detection_System_Using_CNN-Based_Tangent_Optimization_Algorithm_in_B-Mode_Ultrasound_Images.pdf |
| Clinical assessment of deep learning-based uncertainty maps in lung cancer segmentation / Maruccio, Federica Carmen; Eppinga, Wietse; Laves, Max-Heinrich; Navarro, Roger Fonolla; Salvi, Massimo; Molinari, Filippo; Papaconstadopoulos, Pavlos. - In: PHYSICS IN MEDICINE AND BIOLOGY. - ISSN 0031-9155. - STAMPA. - 69:3(2024). [10.1088/1361-6560/ad1a26] | 1-gen-2024 | Salvi, MassimoMolinari, Filippo + | Maruccio+et+al_2024_Phys._Med._Biol._10.1088_1361-6560_ad1a26.pdf; Salvi-Clinical.pdf |
| cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels / Salvi, Massimo; Michielli, Nicola; Meiburger, Kristen M.; Cattelino, Cristina; Cotrufo, Bruna; Giacosa, Matteo; Giovanzana, Chiara; Molinari, Filippo. - In: INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. - ISSN 0899-9457. - ELETTRONICO. - 34:1(2024). [10.1002/ima.22984] | 1-gen-2024 | Salvi, MassimoMichielli, NicolaMeiburger, Kristen M.Cattelino, CristinaCotrufo, BrunaGiacosa, MatteoMolinari, Filippo + | Salvi-cyto-Knet.pdf |
| Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques / Atmakuru, Anirudh; Chakraborty, Subrata; Faust, Oliver; Salvi, Massimo; Datta Barua, Prabal; Molinari, Filippo; Acharya, U. R.; Homaira, Nusrat. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 255:(2024). [10.1016/j.eswa.2024.124665] | 1-gen-2024 | Salvi, MassimoMolinari, Filippo + | - |
| Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm / Salvi, Massimo; Branciforti, Francesco; Molinari, Filippo; Meiburger, Kristen M.. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - STAMPA. - 245:(2024). [10.1016/j.eswa.2023.123105] | 1-gen-2024 | Salvi, MassimoBranciforti, FrancescoMolinari, FilippoMeiburger, Kristen M. | (2024) - GSN-GAN_compressed.pdf |
| Improved assessment of donor liver steatosis using Banff consensus recommendations and deep learning algorithms / Gambella, Alessandro; Salvi, Massimo; Molinaro, Luca; Patrono, Damiano; Cassoni, Paola; Papotti, Mauro; Romagnoli, Renato; Molinari, Filippo. - In: JOURNAL OF HEPATOLOGY. - ISSN 0168-8278. - STAMPA. - 80:3(2024), pp. 495-504. [10.1016/j.jhep.2023.11.013] | 1-gen-2024 | Salvi, MassimoMolinari, Filippo + | Salvi-Improved.pdf |
| Interpretation of Artificial Intelligence Models in Healthcare / Abbasian Ardakani, Ali; Airom, Omid; Khorshidi, Hamid; Bureau, Nathalie J.; Salvi, Massimo; Molinari, Filippo; Acharya, U. Rajendra. - In: JOURNAL OF ULTRASOUND IN MEDICINE. - ISSN 0278-4297. - (2024). [10.1002/jum.16524] | 1-gen-2024 | Salvi, MassimoMolinari, Filippo + | - |
| Multi-modality approaches for medical support systems: A systematic review of the last decade / Salvi, Massimo; Loh, Hui Wen; Seoni, Silvia; Barua, Prabal Datta; García, Salvador; Molinari, Filippo; Acharya, U. Rajendra. - In: INFORMATION FUSION. - ISSN 1566-2535. - STAMPA. - 103:(2024). [10.1016/j.inffus.2023.102134] | 1-gen-2024 | Salvi, MassimoSeoni, SilviaMolinari, Filippo + | (2023) paper - Multimodality review.pdf |
| Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks / Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; Cornacchia, Sara; De Titta, Maria Olimpia; Mastronuzzi, Girolamo; Meloni, Isotta; Moschetta, Miriam; Porciani, Niccolò; Sciscenti, Fabrizio; Spertini, Alessandro; Spilla, Andrea; Zagaria, Ilenia; Deloria, Abigail J.; Deng, Shiyu; Haindl, Richard; Szakacs, Gergely; Csiszar, Agnes; Liu, Mengyang; Drexler, Wolfgang; Molinari, Filippo; Meiburger, Kristen M.. - In: DIAGNOSTICS. - ISSN 2075-4418. - 14:12(2024). [10.3390/diagnostics14121217] | 1-gen-2024 | Branciforti, FrancescoSalvi, MassimoD'Agostino, FilippoMarzola, FrancescoMastronuzzi, GirolamoMoschetta, MiriamSciscenti, FabrizioMolinari, FilippoMeiburger, Kristen M. + | - |
| Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images / Salvi, Massimo; Meiburger, Kristen M.; Molinari, Filippo. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 12:(2024), pp. 30824-30838. [10.1109/access.2024.3369916] | 1-gen-2024 | Salvi, MassimoMeiburger, Kristen M.Molinari, Filippo | Softmax-Driven_Active_Shape_Model_for_Segmenting_Crowded_Objects_in_Digital_Pathology_Images.pdf |
| A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images / Inamdar, Mahesh Anil; Raghavendra, U.; Gudigar, Anjan; Bhandary, Sarvesh; Salvi, Massimo; Deo, Ravinesh C.; Barua, Prabal Datta; Ciaccio, Edward J.; Molinari, Filippo; Acharya, U. Rajendra. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 11:(2023), pp. 108982-108994. [10.1109/ACCESS.2023.3321273] | 1-gen-2023 | Salvi, MassimoMolinari, Filippo + | (2023) paper - glands raghavendra .pdf |
| Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023) / Seoni, Silvia; Jahmunah, Vicnesh; Salvi, Massimo; Barua, Prabal Datta; Molinari, Filippo; Acharya, U Rajendra. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - STAMPA. - 165:(2023). [10.1016/j.compbiomed.2023.107441] | 1-gen-2023 | Seoni, SilviaSalvi, MassimoMolinari, Filippo + | (2023) - UQ review.pdf |
| Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase / Salvi, Massimo; Manini, Claudia; López, Jose I.; Fenoglio, Dario; Molinari, Filippo. - In: COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. - ISSN 0895-6111. - STAMPA. - (2023). [10.1016/j.compmedimag.2023.102288] | 1-gen-2023 | Salvi, MassimoMolinari, Filippo + | 1-s2.0-S0895611123001064-main.pdf |
| Impact of artificial intelligence‐based color constancy on dermoscopical assessment of skin lesions: A comparative study / Branciforti, Francesco; Meiburger, Kristen M.; Zavattaro, Elisa; Veronese, Federica; Tarantino, Vanessa; Mazzoletti, Vanessa; Cristo, Nunzia Di; Savoia, Paola; Salvi, Massimo. - In: SKIN RESEARCH AND TECHNOLOGY. - ISSN 0909-752X. - STAMPA. - 29:11(2023). [10.1111/srt.13508] | 1-gen-2023 | Branciforti, FrancescoMeiburger, Kristen M.Salvi, Massimo + | (2023) paper - impacr color constancy.pdf |
| Impact of Stain Normalization on Pathologist Assessment of Prostate Cancer: A Comparative Study / Salvi, Massimo; Caputo, Alessandro; Balmativola, Davide; Scotto, Manuela; Pennisi, Orazio; Michielli, Nicola; Mogetta, Alessandro; Molinari, Filippo; Fraggetta, Filippo. - In: CANCERS. - ISSN 2072-6694. - ELETTRONICO. - 15:5(2023), p. 1503. [10.3390/cancers15051503] | 1-gen-2023 | Salvi, MassimoScotto, ManuelaPennisi, OrazioMichielli, NicolaMogetta, AlessandroMolinari, Filippo + | cancers-15-01503-v2.pdf |