Archivio Istituzionale della RicercaMOLINARI, FILIPPO
MOLINARI, FILIPPO
Dipartimento di Elettronica e Telecomunicazioni
009675
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
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
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
2023 Raghavendra, U; Gudigar, Anjan; Paul, Aritra; Goutham, T S; Inamdar, Mahesh Anil; Hegde, Ajay; Devi, Aruna; Ooi, Chui Ping; Deo, Ravinesh C; Barua, Prabal Datta; Molinari, Filippo; Ciaccio, Edward J; Acharya, U Rajendra
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm
2023 Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo
cyto‐Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels
2023 Salvi, Massimo; Michielli, Nicola; Meiburger, Kristen M.; Cattelino, Cristina; Cotrufo, Bruna; Giacosa, Matteo; Giovanzana, Chiara; Molinari, Filippo
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
Deep Neural Network Technique for Automated Detection of ADHD and CD Using ECG Signal
2023 Wen Loh, Hui; Ping Ooi, Chui; Lih Oh, Shu; Datta Barua, Prabal; Ren Tan, Yi; Molinari, Filippo; March, Sonja; Rajendra Acharya, U.; Shuen Sheng Fung, Daniel
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population
2023 Shu Lih, Oh; Jahmunah, V.; Emma Palmer, Elizabeth; Barua, Prabal D.; Dogan, Sengul; Tuncer, Turker; García, Salvador; Molinari, Filippo; Rajendra Acharya, U
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study
2023 Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; 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
Mixed Reality for Orthopedic Elbow Surgery Training and Operating Room Applications: A Preliminary Analysis
2023 Cangelosi, Antonio; Riberi, Giacomo; Salvi, Massimo; Molinari, Filippo; Titolo, Paolo; Agus, Marco; Calì, Corrado
MO-03.8 - INVERSE CONSISTENCY ERROR AS A VALIDATION METRIC FOR DEFORMABLE IMAGE REGISTRATION: IMPLEMENTATION RESEARCH WITH DIFFERENT COMPUTATIONAL PHANTOMS
2023 Loi, G.; Vagni, M.; Fusella, M.; Michielli, N.; Scaggion, A.; Vecchi, C.; Zara, S.; Molinari, F.; Fiandra, C.
Quantitative analysis of prion disease using an AI-powered digital pathology framework
2023 Salvi, Massimo; Molinari, Filippo; Ciccarelli, Mario; Testi, Roberto; Taraglio, Stefano; Imperiale, Daniele
A review of automated sleep disorder detection
2022 Shuting, Xu; Oliver, Faust; Seoni, Silvia; Subrata, Chakraborty; Prabal Datta Barua, ; Hui Wen Loh, ; Heather, Elphick; Molinari, Filippo; Rajendra Acharya, U.
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022)
2022 Loh, Hui Wen; Ooi, Chui Ping; Seoni, Silvia; Barua, Prabal Datta; Molinari, Filippo; Acharya, U Rajendra
Application of photoplethysmography signals for healthcare systems: An in-depth review
2022 Loh, Hui Wen; Xu, Shuting; Faust, Oliver; Ooi, Chui Ping; Barua, Prabal Datta; Chakraborty, Subrata; Tan, Ru-San; Molinari, Filippo; Acharya, U Rajendra
Automated detection of ADHD: Current trends and future perspective
2022 Loh, Hui Wen; Ooi, Chui Ping; Barua, Prabal Datta; Palmer, Elizabeth E; Molinari, Filippo; Acharya, U Rajendra
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans
2022 Meiburger, K. M.; Marzola, F.; Zahnd, G.; Faita, F.; Loizou, C. P.; Laine, N.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Liebgott, H.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Orkisz, M.; Molinari, F.
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study
2022 Raghavendra, U.; Gudigar, Anjan; Rao, Tejaswi N.; Rajinikanth, V.; Ciaccio, Edward J.; Hong Yeong, Chai; Chandra Satapathy, Suresh; Molinari, Filippo; Rajendra Acharya, U.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives / Raghavendra, U; Gudigar, Anjan; Paul, Aritra; Goutham, T S; Inamdar, Mahesh Anil; Hegde, Ajay; Devi, Aruna; Ooi, Chui Ping; Deo, Ravinesh C; Barua, Prabal Datta; Molinari, Filippo; Ciaccio, Edward J; Acharya, U Rajendra. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - 163:(2023). [10.1016/j.compbiomed.2023.107063] | 1-gen-2023 | Molinari, Filippo + | 1-s2.0-S0010482523005280-main.pdf; Brain+Tumour+Detection+V25+-+R1_V6_R2_V4.pdf |
| Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm / Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo. - ELETTRONICO. - 12465:(2023), p. 39. (Intervento presentato al convegno SPIE MEDICAL IMAGING 2023 tenutosi a San Diego (USA) nel 19-24 Febbraio 2023) [10.1117/12.2653394]. | 1-gen-2023 | Marzola, FrancescoMeiburger, KristenMolinari, FilippoSalvi, Massimo | SPIE_manuscript_vIRIS.docx; Marzola-CanMultiple.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. - (2023). [10.1002/ima.22984] | 1-gen-2023 | Salvi, MassimoMichielli, NicolaMeiburger, Kristen M.Cattelino, CristinaCotrufo, BrunaGiacosa, MatteoMolinari, Filippo + | (2023) paper - cyto plasma cells.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 |
| Deep Neural Network Technique for Automated Detection of ADHD and CD Using ECG Signal / Wen Loh, Hui; Ping Ooi, Chui; Lih Oh, Shu; Datta Barua, Prabal; Ren Tan, Yi; Molinari, Filippo; March, Sonja; Rajendra Acharya, U.; Shuen Sheng Fung, Daniel. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - STAMPA. - 241:(2023). [10.1016/j.cmpb.2023.107775] | 1-gen-2023 | Filippo Molinari + | ADHD-ECG-2023-AuthorVersions.pdf; Molinari-Deep.pdf |
| EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population / Shu Lih, Oh; Jahmunah, V.; Emma Palmer, Elizabeth; Barua, Prabal D.; Dogan, Sengul; Tuncer, Turker; García, Salvador; Molinari, Filippo; Rajendra Acharya, U. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - STAMPA. - 164:(2023). [10.1016/j.compbiomed.2023.107312] | 1-gen-2023 | Filippo Molinari + | 1-s2.0-S0010482523007771-main.pdf; Epilepsy+Final+Version_Raj_29_July.pdf |
| Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study / Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno 2023 24th International Conference on Digital Signal Processing (DSP) tenutosi a Rhodes (Rodos), Greece nel 11-13 June 2023) [10.1109/DSP58604.2023.10167892]. | 1-gen-2023 | Marzola, FrancescoMeiburger, Kristen M.Molinari, FilippoSalvi, Massimo | DSP2023_paper_IMT_v5.pdf; Marzola-Exploring.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 |
| Mixed Reality for Orthopedic Elbow Surgery Training and Operating Room Applications: A Preliminary Analysis / Cangelosi, Antonio; Riberi, Giacomo; Salvi, Massimo; Molinari, Filippo; Titolo, Paolo; Agus, Marco; Calì, Corrado. - ELETTRONICO. - (2023). (Intervento presentato al convegno Eurographics Italian Chapter Conference) [10.2312/stag.20231291]. | 1-gen-2023 | Massimo SalviFilippo Molinari + | (2023) proceeding STAG VR.pdf |
| MO-03.8 - INVERSE CONSISTENCY ERROR AS A VALIDATION METRIC FOR DEFORMABLE IMAGE REGISTRATION: IMPLEMENTATION RESEARCH WITH DIFFERENT COMPUTATIONAL PHANTOMS / Loi, G.; Vagni, M.; Fusella, M.; Michielli, N.; Scaggion, A.; Vecchi, C.; Zara, S.; Molinari, F.; Fiandra, C.. - In: PHYSICA MEDICA. - ISSN 1120-1797. - ELETTRONICO. - 115:(2023), p. 102805. (Intervento presentato al convegno 12th AIFM National Congress tenutosi a Florence, Italy nel 8-11 June 2023) [10.1016/j.ejmp.2023.102805]. | 1-gen-2023 | Michielli, N.Molinari, F. + | 1-s2.0-S1120179723008153-main.pdf |
| Quantitative analysis of prion disease using an AI-powered digital pathology framework / Salvi, Massimo; Molinari, Filippo; Ciccarelli, Mario; Testi, Roberto; Taraglio, Stefano; Imperiale, Daniele. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 13:1(2023). [10.1038/s41598-023-44782-4] | 1-gen-2023 | Salvi, MassimoMolinari, Filippo + | (2023) paper prioni.pdf |
| A review of automated sleep disorder detection / Shuting, Xu; Oliver, Faust; Seoni, Silvia; Subrata, Chakraborty; Prabal Datta Barua, ; Hui Wen Loh, ; Heather, Elphick; Molinari, Filippo; Rajendra Acharya, U.. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 150:(2022). [10.1016/j.compbiomed.2022.106100] | 1-gen-2022 | Seoni SilviaFilippo Molinari + | 1-s2.0-S0010482522008083-main.pdf; CIBM-D-22-02836_R2.pdf |
| Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022) / Loh, Hui Wen; Ooi, Chui Ping; Seoni, Silvia; Barua, Prabal Datta; Molinari, Filippo; Acharya, U Rajendra. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - ELETTRONICO. - 226:(2022). [10.1016/j.cmpb.2022.107161] | 1-gen-2022 | Seoni, SilviaMolinari, Filippo + | 1-s2.0-S0169260722005429-main.pdf |
| Application of photoplethysmography signals for healthcare systems: An in-depth review / Loh, Hui Wen; Xu, Shuting; Faust, Oliver; Ooi, Chui Ping; Barua, Prabal Datta; Chakraborty, Subrata; Tan, Ru-San; Molinari, Filippo; Acharya, U Rajendra. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - ELETTRONICO. - 216:(2022), p. 106677. [10.1016/j.cmpb.2022.106677] | 1-gen-2022 | Molinari, Filippo + | 1-s2.0-S0169260722000621-main.pdf; PPG_Rev_CMPB2022.pdf |
| Automated detection of ADHD: Current trends and future perspective / Loh, Hui Wen; Ooi, Chui Ping; Barua, Prabal Datta; Palmer, Elizabeth E; Molinari, Filippo; Acharya, U Rajendra. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 146:(2022), p. 105525. [10.1016/j.compbiomed.2022.105525] | 1-gen-2022 | Molinari, Filippo + | 1-s2.0-S0010482522003171-main-2.pdf; CIBM-S-22-01516 (1).pdf |
| Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans / Meiburger, K. M.; Marzola, F.; Zahnd, G.; Faita, F.; Loizou, C. P.; Laine, N.; Carvalho, C.; Steinman, D. A.; Gibello, L.; Bruno, R. M.; Clarenbach, R.; Francesconi, M.; Nicolaides, A. N.; Liebgott, H.; Campilho, A.; Ghotbi, R.; Kyriacou, E.; Navab, N.; Griffin, M.; Panayiotou, A. G.; Gherardini, R.; Varetto, G.; Bianchini, E.; Pattichis, C. S.; Ghiadoni, L.; Rouco, J.; Orkisz, M.; Molinari, F.. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - ELETTRONICO. - 144:(2022), p. 105333. [10.1016/j.compbiomed.2022.105333] | 1-gen-2022 | Meiburger K. M.Marzola F.Molinari F. + | 2022_CUBS_technical.pdf; CUBStechnical_CBMpreproof.pdf |
| Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study / Raghavendra, U.; Gudigar, Anjan; Rao, Tejaswi N.; Rajinikanth, V.; Ciaccio, Edward J.; Hong Yeong, Chai; Chandra Satapathy, Suresh; Molinari, Filippo; Rajendra Acharya, U.. - In: INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. - ISSN 0899-9457. - ELETTRONICO. - 32:2(2022), pp. 501-516. [10.1002/ima.22646] | 1-gen-2022 | Filippo Molinari + | Int J Imaging Syst Tech - 2021 - Raghavendra - Feature%E2%80%90versus deep learning%E2%80%90based approaches for the automated detection of.pdf |