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2020 – today
- 2025
[j26]Anirudh Atmakuru
, Alen Shahini, Subrata Chakraborty, Silvia Seoni, Massimo Salvi, Abdul Hafeez-Baig, Sadaf Rashid, Ru San Tan, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023). Inf. Fusion 114: 102673 (2025)- 2024
- [j25]Massimo Salvi, Kristen M. Meiburger, Filippo Molinari:
Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images. IEEE Access 12: 30824-30838 (2024) - [j24]Tanweer Ali, Sameena Pathan, Massimo Salvi, Kristen M. Meiburger, Filippo Molinari, U. Rajendra Acharya:
CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images. IEEE Access 12: 73970-73979 (2024) - [j23]Massimo Salvi, Alessandro Mogetta, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Filippo Molinari:
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology. Appl. Soft Comput. 165: 112081 (2024) - [j22]Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, M. Maithri, Mahesh Anil Inamdar, Mukund A. Prabhu, Ajay Hegde, Massimo Salvi, Chai Hong Yeong, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023). Comput. Biol. Medicine 172: 108207 (2024) - [j21]Silvia Seoni, Alen Shahini, Kristen M. Meiburger, Francesco Marzola, Giulia Rotunno, U. Rajendra Acharya, Filippo Molinari, Massimo Salvi:
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems. Comput. Methods Programs Biomed. 250: 108200 (2024) - [j20]Massimo Salvi, Francesco Branciforti, Filippo Molinari, Kristen M. Meiburger:
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm. Expert Syst. Appl. 245: 123105 (2024) - [j19]Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya, Nusrat Homaira:
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques. Expert Syst. Appl. 255: 124665 (2024) - [j18]Massimo Salvi, Nicola Michielli, Kristen M. Meiburger, Cristina Cattelino, Bruna Cotrufo, Matteo Giacosa, Chiara Giovanzana, Filippo Molinari:
cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j17]Massimo Salvi, Nicola Michielli, Lorenzo Salamone, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Mauro Papotti, Filippo Molinari:
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology. Int. J. Imaging Syst. Technol. 34(5) (2024) - [j16]Francesco Branciforti, Maura Maggiore, Kristen M. Meiburger, Tania Pannellini, Massimo Salvi:
Hybrid Wavelet-Deep Learning Framework for Fluorescence Microscopy Images Enhancement. Int. J. Imaging Syst. Technol. 34(6) (2024) - [j15]Massimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya:
Multi-modality approaches for medical support systems: A systematic review of the last decade. Inf. Fusion 103: 102134 (2024) - [j14]Silvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi:
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals. Inf. Sci. 665: 120383 (2024) - [j13]Massimo Salvi, Madhav R. Acharya, Silvia Seoni, Oliver Faust, Ru San Tan, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya:
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023). WIREs Data. Mining. Knowl. Discov. 14(3) (2024) - 2023
- [j12]Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, Sarvesh Bhandary, Massimo Salvi, Ravinesh C. Deo, Prabal Datta Barua, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya:
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. IEEE Access 11: 108982-108994 (2023) - [j11]Vidhya V., U. Raghavendra, Anjan Gudigar, Sudipta Basak, Sankalp Mallappa, Ajay Hegde, Girish R. Menon, Prabal Datta Barua, Massimo Salvi, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya:
YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images. IEEE Access 11: 141309-141328 (2023) - [j10]Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023). Comput. Biol. Medicine 165: 107441 (2023) - [j9]Massimo Salvi, Claudia Manini, Jose I. López, Dario Fenoglio, Filippo Molinari:
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase. Comput. Medical Imaging Graph. 109: 102288 (2023) - [c8]Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi:
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study. DSP 2023: 1-5 - [c7]Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi:
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm. Computer-Aided Diagnosis 2023 - 2022
- [j8]Massimo Salvi, Francesco Branciforti, Federica Veronese, Elisa Zavattaro, Vanessa Tarantino, Paola Savoia, Kristen M. Meiburger:
DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks. Comput. Methods Programs Biomed. 225: 107040 (2022) - [j7]Massimo Salvi, Bruno De Santi, Bianca Pop, Martino Bosco, Valentina Giannini, Daniele Regge, Filippo Molinari, Kristen M. Meiburger:
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images. J. Imaging 8(5): 133 (2022) - 2021
- [j6]Massimo Salvi, Martino Bosco, Luca Molinaro, Alessandro Gambella, Mauro Papotti, U. Rajendra Acharya, Filippo Molinari:
A hybrid deep learning approach for gland segmentation in prostate histopathological images. Artif. Intell. Medicine 115: 102076 (2021) - [j5]Massimo Salvi, U. Rajendra Acharya, Filippo Molinari, Kristen M. Meiburger:
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis. Comput. Biol. Medicine 128: 104129 (2021) - [j4]Massimo Salvi, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Antonella Barreca, Mauro Papotti, Filippo Molinari:
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning. Comput. Medical Imaging Graph. 90: 101930 (2021) - 2020
- [j3]Massimo Salvi, Luca Molinaro, Jasna Metovic, Damiano Patrono, Renato Romagnoli, Mauro Papotti, Filippo Molinari:
Fully automated quantitative assessment of hepatic steatosis in liver transplants. Comput. Biol. Medicine 123: 103836 (2020) - [j2]Massimo Salvi, Nicola Michielli, Filippo Molinari:
Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology. Comput. Methods Programs Biomed. 193: 105506 (2020) - [c6]Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Francesco Marzola, Filippo Russo, Martino Bosco, Filippo Molinari:
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images. EMBC 2020: 1671-1674 - [c5]Francesco Marzola, Nens van Alfen, Massimo Salvi, Bruno De Santi, Jonne Doorduin, Kristen M. Meiburger:
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. EMBC 2020: 2113-2116 - [c4]Diletta Balta, Massimo Salvi, Filippo Molinari, Giulio Figari, Gabriele Paolini, Ugo Della Croce, Andrea Cereatti:
A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera. MeMeA 2020: 1-6
2010 – 2019
- 2019
- [b1]Massimo Salvi:
Modellizzazione ed Interpretazione dei Processi Fisiopatologici attraverso Immagini Mediche Multimodali e Multiscala. Polytechnic University of Turin, Italy, 2019 - [j1]Massimo Salvi, Filippo Molinari, Natalia Dogliani, Martino Bosco:
Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma. Comput. Biol. Medicine 110: 8-14 (2019) - [c3]Kristen M. Meiburger, Federica Veronese, Vanessa Tarantino, Massimo Salvi, Matteo Fadda, Silvia Seoni, Elisa Zavattaro, Bruno De Santi, Nicola Michielli, Paola Savoia, Filippo Molinari:
Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept. EMBC 2019: 399-402 - [c2]Silvia Seoni, Federica Veronese, Vanessa Tarantino, Elisa Zavattaro, Massimo Salvi, Nicola Michielli, Bruno De Santi, Filippo Molinari, Paola Savoia, Kristen M. Meiburger:
Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy. EMBC 2019: 467-470 - [c1]Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Nicola Michielli, Silvia Seoni, Daniele Regge, Filippo Molinari:
Multimodal T2w and DWI Prostate Gland Automated Registration. EMBC 2019: 4427-4430 - 2018
- [i1]Massimo Salvi:
Normal and Triangular Determinantal Representations of Multivariate Polynomials. CoRR abs/1804.00145 (2018)
Coauthor Index
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last updated on 2024-12-23 19:28 CET by the dblp team
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