Filippo Molinari

120 papers B 3Journal 89Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Shifting the Focus of Digital Pathology: The Raising Relevance of Pre-Processing Phase Over Model Complexity.
IET Image Process.
Massimo Salvi, Nicola Michielli, Alessandro Mogetta, Alessandro Gambella, Abdulkadir Sengür, Filippo Molinari, Arkadiusz Gertych
2026 J jnl
ShortNeXt: A novel method for accurate classification of colorectal cancer histopathology images.
Comput. Vis. Image Underst.
Prabal Datta Barua, Burak Tasci, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Filippo Molinari, Massimo Salvi, U. Rajendra Acharya
2026 J jnl
SlideInspect: From Pixel-Level Artifact Detection to Actionable Quality Metrics in Digital Pathology.
Int. J. Imaging Syst. Technol.
Manuela Scotto, Roberta Patti, Vincenzo L' Imperio, Filippo Fraggetta, Filippo Molinari, Massimo Salvi
2025 J jnl
A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification.
IEEE Access
Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya
2025 J jnl
Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013-2024).
IEEE Access
Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Saeed Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya
2025 J jnl
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review.
WIREs Data. Mining. Knowl. Discov.
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Massimo Salvi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
2025 J jnl
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review.
Environ. Model. Softw.
Sreeni Chadalavada, Oliver Faust, Massimo Salvi, Silvia Seoni, Nawin Raj, U. Raghavendra, Anjan Gudigar, Prabal Datta Barua, Filippo Molinari, Udyavara Rajendra Acharya
2025 J jnl
Artificial intelligence-based suicide prevention and prediction: A systematic review (2019-2023).
Inf. Fusion
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
2025 J jnl
Augmented reality simulation framework for minimally invasive orthopedic surgery.
Comput. Biol. Medicine
Antonio Cangelosi, Giacomo Riberi, Paolo Titolo, Massimo Salvi, Filippo Molinari, Luca Ulrich, Enrico Vezzetti, Marco Agus, Corrado Calì
2025 J jnl
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare.
Int. J. Medical Informatics
Massimo Salvi, Silvia Seoni, Andrea Campagner, Arkadiusz Gertych, U. Rajendra Acharya, Filippo Molinari, Federico Cabitza
2025 J jnl
Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications.
IEEE Access
Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru-San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya
2025 J jnl
MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals.
IEEE Access
M. Maithri, U. Raghavendra, Anjan Gudigar, Samir Kumar Praharaj, Karthikeyan Sriram, Massimo Salvi, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya
2025 — conf
Prostate MRI Segmentation: A Comparative Analysis of U-Net and E-Net Deep Learning Models.
ICIAP (Workshops 1)
Gaspare Centineo, Leonardo Salvaggio, Syed Ibrar Hussain, Muhammad Ali, Kristen M. Meiburger, Filippo Molinari, Albert Comelli
2025 J jnl
Real-time beat-to-beat pulse wave velocity estimation: a quality-driven approach using laser Doppler vibrometry.
Medical Biol. Eng. Comput.
Silvia Seoni, Patrick Segers, Simeon Beeckman, Massimo Salvi, Marco Romanelli, Smriti Badhwar, Rosa Maria Bruno, Yanlu Li, Soren Aasmul, Nilesh Madhu, Filippo Molinari, Umberto Morbiducci
2025 J jnl
Semantic-driven synthesis of histological images with controllable cellular distributions.
Comput. Methods Programs Biomed.
Alen Shahini, Alessandro Gambella, Filippo Molinari, Massimo Salvi
2024 J jnl
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology.
Appl. Soft Comput.
Massimo Salvi, Alessandro Mogetta, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Filippo Molinari
2024 J jnl
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.
Silvia Seoni, Alen Shahini, Kristen M. Meiburger, Francesco Marzola, Giulia Rotunno, U. Rajendra Acharya, Filippo Molinari, Massimo Salvi
2024 J jnl
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals.
Inf. Sci.
Silvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi
2024 J jnl
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023).
WIREs Data. Mining. Knowl. Discov.
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, Oliver Faust, Ru-San Tan, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023).
Comput. Methods Programs Biomed.
Muhammed Halil Akpinar, Abdulkadir Sengür, Oliver Faust, Louis Tong, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review.
IEEE Access
Anjan Gudigar, U. Raghavendra, M. Maithri, Jyothi Samanth, Mahesh Anil Inamdar, Vidhya V., Jahmunah Vicnesh, Mukund A. Prabhu, Ru-San Tan, Chai Hong Yeong, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Automated anxiety detection using probabilistic binary pattern with ECG signals.
Comput. Methods Programs Biomed.
Mehmet Baygin, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Jen Hong Tan, Sonja March, Ru-San Tan, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023).
Comput. Biol. Medicine
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
2024 J jnl
CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images.
IEEE Access
Tanweer Ali, Sameena Pathan, Massimo Salvi, Kristen M. Meiburger, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology.
Int. J. Imaging Syst. Technol.
Massimo Salvi, Nicola Michielli, Lorenzo Salamone, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Mauro Papotti, Filippo Molinari
2024 J jnl
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques.
Expert Syst. Appl.
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya, Nusrat Homaira
2024 J jnl
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm.
Expert Syst. Appl.
Massimo Salvi, Francesco Branciforti, Filippo Molinari, Kristen M. Meiburger
2024 J jnl
Multi-modality approaches for medical support systems: A systematic review of the last decade.
Inf. Fusion
Massimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images.
IEEE Access
Massimo Salvi, Kristen M. Meiburger, Filippo Molinari
2024 J jnl
cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels.
Int. J. Imaging Syst. Technol.
Massimo Salvi, Nicola Michielli, Kristen M. Meiburger, Cristina Cattelino, Bruna Cotrufo, Matteo Giacosa, Chiara Giovanzana, Filippo Molinari
2023 J jnl
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images.
IEEE Access
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
2023 J jnl
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023).
Comput. Biol. Medicine
Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
2023 J jnl
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives.
Comput. Biol. Medicine
U. Raghavendra, Anjan Gudigar, Aritra Paul, T. S. Goutham, Mahesh Anil Inamdar, Ajay Hegde, Aruna Devi, Chui Ping Ooi, Ravinesh C. Deo, Prabal Datta Barua, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya
2023 — conf
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm.
Computer-Aided Diagnosis
Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi
2023 J jnl
Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase.
Comput. Medical Imaging Graph.
Massimo Salvi, Claudia Manini, Jose I. López, Dario Fenoglio, Filippo Molinari
2023 J jnl
Deep neural network technique for automated detection of ADHD and CD using ECG signal.
Comput. Methods Programs Biomed.
Hui Wen Loh, Chui Ping Ooi, Shu Lih Oh, Prabal Datta Barua, Yi Ren Tan, Filippo Molinari, Sonja March, U. Rajendra Acharya, Daniel Shuen Sheng Fung
2023 J jnl
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population.
Comput. Biol. Medicine
Shu Lih Oh, V. Jahmunah, Elizabeth Emma Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Salvador García, Filippo Molinari, U. Rajendra Acharya
2023 — conf
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study.
DSP
Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi
2023 J jnl
YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images.
IEEE Access
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
2022 J jnl
A review of automated sleep disorder detection.
Comput. Biol. Medicine
Shuting Xu, Oliver Faust, Silvia Seoni, Subrata Chakraborty, Prabal Datta Barua, Hui Wen Loh, Heather Elphick, Filippo Molinari, U. Rajendra Acharya
2022 J jnl
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022).
Comput. Methods Programs Biomed.
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
2022 J jnl
Application of photoplethysmography signals for healthcare systems: An in-depth review.
Comput. Methods Programs Biomed.
Hui Wen Loh, Shuting Xu, Oliver Faust, Ooi Chui Ping, Prabal Datta Barua, Subrata Chakraborty, Ru-San Tan, Filippo Molinari, U. Rajendra Acharya
2022 J jnl
Automated detection of ADHD: Current trends and future perspective.
Comput. Biol. Medicine
Hui Wen Loh, Ooi Chui Ping, Prabal Datta Barua, Elizabeth Emma Palmer, Filippo Molinari, U. Rajendra Acharya
2022 J jnl
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.
Comput. Biol. Medicine
Kristen M. Meiburger, Francesco Marzola, Guillaume Zahnd, Francesco Faita, Christos P. Loizou, Nolann Lainé, Catarina Carvalho, David A. Steinman, Lorenzo Gibello, Rosa Maria Bruno, Ricarda Clarenbach, Martina Francesconi, Andrew Nicolaides, Hervé Liebgott, Aurélio Campilho, Reza Ghotbi, Efthyvoulos Kyriacou, Nassir Navab, Maura Griffin, Andrie G. Panayiotou, Rachele Gherardini, Gianfranco Varetto, Elisabetta Bianchini, Constantinos S. Pattichis, Lorenzo Ghiadoni, José Rouco, Maciej Orkisz, Filippo Molinari
2022 J jnl
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study.
Int. J. Imaging Syst. Technol.
U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya
2022 J jnl
Heart rate variability for medical decision support systems: A review.
Comput. Biol. Medicine
Oliver Faust, Wanrong Hong, Hui Wen Loh, Shuting Xu, Ru-San Tan, Subrata Chakraborty, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
2022 J jnl
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images.
J. Imaging
Massimo Salvi, Bruno De Santi, Bianca Pop, Martino Bosco, Valentina Giannini, Daniele Regge, Filippo Molinari, Kristen M. Meiburger
2022 J jnl
Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques.
J. Imaging
Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Chinmay Dharmik, Mokshagna Rohit Gangavarapu, Krishnananda Nayak, Edward J. Ciaccio, Ru-San Tan, Filippo Molinari, U. Rajendra Acharya
2022 J jnl
Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding.
Informatics
Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Akhila Vasudeva, Ashwal A. A. J., Krishnananda Nayak, Ru-San Tan, Edward J. Ciaccio, Ooi Chui Ping, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
2021 J jnl
A hybrid deep learning approach for gland segmentation in prostate histopathological images.
Artif. Intell. Medicine
Massimo Salvi, Martino Bosco, Luca Molinaro, Alessandro Gambella, Mauro Papotti, U. Rajendra Acharya, Filippo Molinari
2021 J jnl
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning.
Comput. Medical Imaging Graph.
Massimo Salvi, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Antonella Barreca, Mauro Papotti, Filippo Molinari
2021 J jnl
Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images.
Biomed. Signal Process. Control.
Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Mokshagna Rohit Gangavarapu, Abhilash Kudva, Ganesh Paramasivam, Krishnananda Nayak, Ru-San Tan, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya
2021 J jnl
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis.
Comput. Biol. Medicine
Massimo Salvi, U. Rajendra Acharya, Filippo Molinari, Kristen M. Meiburger
2020 — conf
A Proposal For COVID-19 Applications Enabling Extensive Epidemiological Studies.
CENTERIS/ProjMAN/HCist
Alice Ravizza, Federico Sternini, Filippo Molinari, Eugenio Santoro, Federico Cabitza
2020 J jnl
A novel hybrid approach for automated detection of retinal detachment using ultrasound images.
Comput. Biol. Medicine
Joel Koh En Wei, U. Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U. Rajendra Acharya
2020 — conf
A two-dimensional clinical gait analysis protocol based on markerless recordings from a single RGB-Depth camera.
MeMeA
Diletta Balta, Massimo Salvi, Filippo Molinari, Giulio Figari, Gabriele Paolini, Ugo Della Croce, Andrea Cereatti
2020 J jnl
Automated prediction of sepsis using temporal convolutional network.
Comput. Biol. Medicine
Christopher Kok, V. Jahmunah, Shu Lih Oh, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Kang Hao Cheong, Rashmi Gururajan, Filippo Molinari, U. Rajendra Acharya
2020 — conf
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images.
EMBC
Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Francesco Marzola, Filippo Russo, Martino Bosco, Filippo Molinari
2020 J jnl
Fully automated quantitative assessment of hepatic steatosis in liver transplants.
Comput. Biol. Medicine
Massimo Salvi, Luca Molinaro, Jasna Metovic, Damiano Patrono, Renato Romagnoli, Mauro Papotti, Filippo Molinari
2020 J jnl
Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image.
IEEE Access
Anjan Gudigar, Jyothi Samanth, U. Raghavendra, Chinmay Dharmik, Akhila Vasudeva, Padmakumar R, Ru-San Tan, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya
2020 — conf
Methods for Preclinical Validation of Software as a Medical Device.
HEALTHINF
Alice Ravizza, Federico Sternini, Alice Giannini, Filippo Molinari
2020 J jnl
Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology.
Comput. Methods Programs Biomed.
Massimo Salvi, Nicola Michielli, Filippo Molinari
2019 J jnl
Automated plaque classification using computed tomography angiography and Gabor transformations.
Artif. Intell. Medicine
U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Jahmunah Vicnesh, Edward J. Ciaccio, Shu Lih Oh, Sock Keow Tan, Raja Rizal Azman Raja Aman, Filippo Molinari, Kwan Hoong Ng
2019 — conf
Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept.
EMBC
Kristen M. Meiburger, Federica Veronese, Vanessa Tarantino, Massimo Salvi, Matteo Fadda, Silvia Seoni, Elisa Zavattaro, Bruno De Santi, Nicola Michielli, Paola Savoia, Filippo Molinari
2019 J jnl
Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma.
Comput. Biol. Medicine
Massimo Salvi, Filippo Molinari, Natalia Dogliani, Martino Bosco
2019 J jnl
Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals.
Comput. Biol. Medicine
Nicola Michielli, U. Rajendra Acharya, Filippo Molinari
2019 — conf
Multimodal T2w and DWI Prostate Gland Automated Registration.
EMBC
Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Nicola Michielli, Silvia Seoni, Daniele Regge, Filippo Molinari
2019 — conf
Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy.
EMBC
Silvia Seoni, Federica Veronese, Vanessa Tarantino, Elisa Zavattaro, Massimo Salvi, Nicola Michielli, Bruno De Santi, Filippo Molinari, Paola Savoia, Kristen M. Meiburger
2018 J jnl
An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique.
Medical Biol. Eng. Comput.
Filippo Molinari, U. Raghavendra, Anjan Gudigar, Kristen M. Meiburger, U. Rajendra Acharya
2018 J jnl
Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features.
Comput. Methods Programs Biomed.
U. Rajendra Acharya, U. Raghavendra, Joel E. W. Koh, Kristen M. Meiburger, Edward J. Ciaccio, Yuki Hagiwara, Filippo Molinari, Wai Ling Leong, Anushya Vijayananthan, Nur Adura Yaakup, Mohd Kamil Bin Mohd Fabell, Chai Hong Yeong
2018 J jnl
Automated localization and segmentation techniques for B-mode ultrasound images: A review.
Comput. Biol. Medicine
Kristen M. Meiburger, U. Rajendra Acharya, Filippo Molinari
2018 J jnl
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.
Comput. Biol. Medicine
U. Raghavendra, Anjan Gudigar, M. Maithri, Arkadiusz Gertych, Kristen M. Meiburger, Chai Hong Yeong, Chakri Madla, Pailin Kongmebhol, Filippo Molinari, Kwan Hoong Ng, U. Rajendra Acharya
2017 J jnl
Cerebrovascular pattern improved by ozone autohemotherapy: an entropy-based study on multiple sclerosis patients.
Medical Biol. Eng. Comput.
Filippo Molinari, Daniele Rimini, William Liboni, U. Rajendra Acharya, Marianno Franzini, Sergio Pandolfi, Giovanni Ricevuti, Francesco Vaiano, Luigi Valdenassi, Vincenzo Simonetti
2016 J jnl
Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review.
Comput. Biol. Medicine
K. Vidya Sudarshan, Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Vinod Chandran, Filippo Molinari, Hamido Fujita, Kwan Hoong Ng
2016 J jnl
Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images.
Inf. Fusion
U. Rajendra Acharya, Hamido Fujita, Shreya Bhat, U. Raghavendra, Anjan Gudigar, Filippo Molinari, Anushya Vijayananthan, Kwan Hoong Ng
2015 J jnl
Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method.
Knowl. Based Syst.
U. Rajendra Acharya, K. Sudarshan Vidya, Dhanjoo N. Ghista, Wei Jie Eugene Lim, Filippo Molinari, Meena Sankaranarayanan
2015 J jnl
Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients.
Comput. Biol. Medicine
Filippo Molinari, Roshan Joy Martis, U. Rajendra Acharya, Kristen M. Meiburger, Riccardo De Luca, Giuliana Petraroli, William Liboni
2015 — conf
NIRS assessment of brain hemodynamics.
MeMeA
Valentina Agostini, Daniele Paradiso, Filippo Molinari, Daniele Rimini, Marco Knaflitz, William Liboni
2015 J jnl
Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm.
Knowl. Based Syst.
U. Rajendra Acharya, Oliver Faust, Filippo Molinari, Subbhuraam Vinitha Sree, Sameer P. Junnarkar, K. Vidya Sudarshan
2014 — ch.
A Selection and Reduction Approach for the Optimization of Ultrasound Carotid Artery Images Segmentation.
Machine Learning in Healthcare Informatics
Samanta Rosati, Gabriella Balestra, Filippo Molinari, U. Rajendra Acharya, Jasjit S. Suri
2014 — conf
Dual Fuzzy-Snake model for IMT measurement in carotid ultrasound images of low- and high-risk patients.
BHI
Samanta Rosati, Gabriella Balestra, Filippo Molinari
2014 — ch.
Feature Extraction by Quick Reduction Algorithm: Assessing the Neurovascular Pattern of Migraine Sufferers from NIRS Signals.
Machine Learning in Healthcare Informatics
Samanta Rosati, Gabriella Balestra, Filippo Molinari
2013 — conf
Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India.
EMBC
Filippo Molinari, Vipin Gupta, Poornima Prabhakaran, Kristen M. Meiburger, Luca Saba, U. Rajendra Acharya, Giuseppe Ledda, K. V. Radha Krishna, Gagandeep Kaur Walia, Sanjay Kinra, Andrew Nicolaides, Shah Ebrahim, Jasjit S. Suri
2013 J jnl
Entropy analysis of muscular near-infrared spectroscopy (NIRS) signals during exercise programme of type 2 diabetic patients: Quantitative assessment of muscle metabolic pattern.
Comput. Methods Programs Biomed.
Filippo Molinari, U. Rajendra Acharya, Roshan Joy Martis, Riccardo De Luca, Giuliana Petraroli, William Liboni
2013 J jnl
Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers.
Comput. Biol. Medicine
Luca Saba, Filippo Molinari, Kristen M. Meiburger, U. Rajendra Acharya, Andrew Nicolaides, Jasjit S. Suri
2013 J jnl
Ovarian Tumor Characterization and Classification Using Ultrasound - A New Online Paradigm.
J. Digit. Imaging
U. Rajendra Acharya, Subbhuraam Vinitha Sree, Luca Saba, Filippo Molinari, Stefano Guerriero, Jasjit S. Suri
2013 — conf
Time and time-frequency analysis of near-infrared signals for the assessment of ozone autohemotherapy long-term effects in multiple sclerosis.
EMBC
G. Lintas, Filippo Molinari, Vincenzo Simonetti, Marianno Franzini, William Liboni
2012 J jnl
An Accurate and Generalized Approach to Plaque Characterization in 346 Carotid Ultrasound Scans.
IEEE Trans. Instrum. Meas.
U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
2012 — conf
Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound.
EMBC
U. Rajendra Acharya, Vinitha Sree S, Filippo Molinari, Roberto Garberoglio, Agnieszka Witkowska, Jasjit S. Suri
2012 J jnl
Automated diagnosis of epileptic EEG using entropies.
Biomed. Signal Process. Control.
U. Rajendra Acharya, Filippo Molinari, Subbhuraam Vinitha Sree, Subhagata Chattopadhyay, Kwan Hoong Ng, Jasjit S. Suri
2012 — conf
Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population.
EMBC
Filippo Molinari, Kristen M. Meiburger, Luca Saba, Giuseppe Ledda, Michele Anzidei, U. Rajendra Acharya, Guang Zeng, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri
2012 — conf
Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: A novel class of Atheromatic systems.
EMBC
U. Rajendra Acharya, Vinitha Sree S, Muthu Rama Krishnan Mookiah, Luca Saba, Filippo Molinari, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri
2012 — conf
Carotid ultrasound symptomatology using atherosclerotic plaque characterization: A class of Atheromatic systems.
EMBC
U. Rajendra Acharya, Vinitha Sree S, Filippo Molinari, Luca Saba, Andrew Nicolaides, Shoaib Shafique, Jasjit S. Suri
2012 J jnl
Completely Automated Multiresolution Edge Snapper - A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database.
IEEE Trans. Image Process.
Filippo Molinari, Constantinos S. Pattichis, Guang Zeng, Luca Saba, U. Rajendra Acharya, Roberto Sanfilippo, Andrew Nicolaides, Jasjit S. Suri
2012 — conf
Distal wall delineation using automated Dual Snake paradigm: A multi-center and multi-ethnic carotid ultrasound evaluation.
EMBC
Filippo Molinari, Kristen M. Meiburger, Luca Saba, Guang Zeng, U. Rajendra Acharya, Mario Piga, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri
2012 J jnl
Hypothesis Validation of Far-Wall Brightness in Carotid-Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level-Set Segmentation and Registration.
IEEE Trans. Instrum. Meas.
Filippo Molinari, Ganapathy Krishnamurthi, U. Rajendra Acharya, Subbhuraam Vinitha Sree, Guang Zeng, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
2012 J jnl
Linear and non-linear analysis of cardiac health in diabetic subjects.
Biomed. Signal Process. Control.
Oliver Faust, U. Rajendra Acharya, Filippo Molinari, Subhagata Chattopadhyay, Toshiyo Tamura
2012 — conf
Ovarian tumor characterization and classification: A class of GyneScan™ systems.
EMBC
U. Rajendra Acharya, Vinitha Sree S, Luca Saba, Filippo Molinari, Stefano Guerriero, Jasjit S. Suri
2012 J jnl
Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound.
J. Medical Syst.
U. Rajendra Acharya, Oliver Faust, Peng Chuan Alvin Ang, Subbhuraam Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
2012 J jnl
ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform.
Comput. Methods Programs Biomed.
U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Filippo Molinari, Jasjit S. Suri
2012 J jnl
Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods.
Comput. Methods Programs Biomed.
Filippo Molinari, Kristen M. Meiburger, Luca Saba, U. Rajendra Acharya, Giuseppe Ledda, Guang Zeng, Sin Yee Stella Ho, Anil T. Ahuja, Suzanne C. Ho, Andrew Nicolaides, Jasjit S. Suri
2011 — conf
Automated high-performance cIMT measurement techniques using patented AtheroEdge™: A screening and home monitoring system.
EMBC
Filippo Molinari, Kristen M. Meiburger, Jasjit S. Suri
2011 — conf
CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images.
EMBC
Filippo Molinari, Kristen M. Meiburger, U. Rajendra Acharya, Guang Zeng, Paulo Sergio Rodrigues, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
2011 B conf
CARES: Completely Automated Robust Edge Snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images: a two stage system combining an intensity-based feature approach with first order absolute moments.
Image Processing
Filippo Molinari, U. Rajendra Acharya, Guang Zeng, Jasjit S. Suri
2011 J jnl
CAUDLES-EF: Carotid Automated Ultrasound Double Line Extraction System Using Edge Flow.
J. Digit. Imaging
Filippo Molinari, Kristen M. Meiburger, Guang Zeng, Andrew Nicolaides, Jasjit S. Suri
2011 — conf
Carotid automated ultrasound double line extraction system (CADLES) via Edge-Flow.
EMBC
Kristen M. Meiburger, Filippo Molinari, Guang Zeng, Luca Saba, Jasjit S. Suri
2011 B conf
Completely automated multiresolution edge snapper (CAMES): a new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database.
Image Processing
Filippo Molinari, Christos P. Loizou, Guang Zeng, Constantinos S. Pattichis, Marios Pantziaris, William Liboni, Andrew Nicolaides, Jasjit S. Suri
2011 J jnl
Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images.
Medical Biol. Eng. Comput.
Filippo Molinari, U. Rajendra Acharya, Guang Zeng, Kristen M. Meiburger, Jasjit S. Suri
2011 — conf
Feature selection applied to ultrasound carotid images segmentation.
EMBC
Samanta Rosati, Filippo Molinari, Gabriella Balestra
2011 J jnl
Inter-Greedy Technique for Fusion of Different Segmentation Strategies Leading to High-Performance Carotid IMT Measurement in Ultrasound Images.
J. Medical Syst.
Filippo Molinari, Guang Zeng, Jasjit S. Suri
2010 J jnl
A state of the art review on intima-media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound.
Comput. Methods Programs Biomed.
Filippo Molinari, Guang Zeng, Jasjit S. Suri
2010 B conf
Automatic recognition and validation of the common carotid artery wall segmentation in 100 longitudinal ultrasound images: an integrated approach using feature selection, fitting and classification.
Image Processing
Filippo Molinari, Guang Zeng, Jasjit S. Suri
2010 J jnl
Time-Frequency Characterization of Cerebral Hemodynamics of Migraine Sufferers as Assessed by NIRS Signals.
EURASIP J. Adv. Signal Process.
Filippo Molinari, Samanta Rosati, William Liboni, Emanuela Negri, Ornella Mana, Gianni Allais, Chiara Benedetto
2009 J jnl
A Vision-Based Technique for Lay Length Measurement of Metallic Wire Ropes.
IEEE Trans. Instrum. Meas.
Alberto Vallan, Filippo Molinari
2009 J jnl
Motion Artifact Reduction in Breast Dynamic Infrared Imaging.
IEEE Trans. Biomed. Eng.
Valentina Agostini, Marco Knaflitz, Filippo Molinari
2008 J jnl
Noise Estimation in Infrared Image Sequences: A Tool for the Quantitative Evaluation of the Effectiveness of Registration Algorithms.
IEEE Trans. Biomed. Eng.
Valentina Agostini, Silvia Delsanto, Marco Knaflitz, Filippo Molinari
2007 J jnl
Characterization of a Completely User-Independent Algorithm for Carotid Artery Segmentation in 2-D Ultrasound Images.
IEEE Trans. Instrum. Meas.
Silvia Delsanto, Filippo Molinari, Pierangela Giustetto, William Liboni, Sergio Badalamenti, Jasjit S. Suri
2006 J jnl
Electrical manifestations of muscle fatigue during concentric and eccentric isokinetic knee flexion-extension movements.
IEEE Trans. Biomed. Eng.
Filippo Molinari, Marco Knaflitz, Paolo Bonato, Maria Vittoria Actis
2006 — conf
Evaluation of feature-based registration in dynamic infrared imaging for breast cancer diagnosis.
EMBC
Valentina Agostini, Silvia Delsanto, Filippo Molinari, Marco Knaflitz
2006 — conf
User-independent Plaque Characterization and Accurate IMT Measurement of Carotid Artery Wall using Ultrasound.
EMBC
Silvia Delsanto, Filippo Molinari, William Liboni, Pierangela Giustetto, Sergio Badalamenti, Jasjit S. Suri