Filippo Molinari

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 57

Top Venues

Comput. Biol. Medicine

Comput. Methods Programs Biomed.

EMBC

IEEE Access

Publications

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 (2024)
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 (2024)
Muhammed Halil Akpinar, Abdulkadir Sengür, Oliver Faust, Louis Tong, Filippo Molinari, U. Rajendra Acharya
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023). Comput. Methods Programs Biomed. 254 (2024)
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 (2024)
Mehmet Baygin, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Jen Hong Tan, Sonja March, Ru San Tan, Filippo Molinari, U. Rajendra Acharya
Automated anxiety detection using probabilistic binary pattern with ECG signals. Comput. Methods Programs Biomed. 247 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. Comput. Biol. Medicine 163 (2023)
Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm. Medical Imaging: Computer-Aided Diagnosis (2023)
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 (2023)
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 (2023)
Shu Lih Oh, V. Jahmunah, Elizabeth Emma Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Salvador García, Filippo Molinari, U. Rajendra Acharya
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population. Comput. Biol. Medicine 164 (2023)
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
Deep neural network technique for automated detection of ADHD and CD using ECG signal. Comput. Methods Programs Biomed. 241 (2023)
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)
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 (2023)
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 (2023)
Hui Wen Loh, Shuting Xu, Oliver Faust, Ooi Chui Ping, Prabal Datta Barua, Subrata Chakraborty, Ru San Tan, Filippo Molinari, U. Rajendra Acharya
Application of photoplethysmography signals for healthcare systems: An in-depth review. Comput. Methods Programs Biomed. 216 (2022)
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) (2022)
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
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 144 (2022)
Oliver Faust, Wanrong Hong, Hui Wen Loh, Shuting Xu, Ru San Tan, Subrata Chakraborty, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
Heart rate variability for medical decision support systems: A review. Comput. Biol. Medicine 145 (2022)
Anjan Gudigar, U. Raghavendra, Jyothi Samanth, Chinmay Dharmik, Mokshagna Rohit Gangavarapu, Krishnananda Nayak, Edward J. Ciaccio, Ru San Tan, Filippo Molinari, U. Rajendra Acharya
Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques. J. Imaging 8 (4) (2022)
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
Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding. Informatics 9 (2) (2022)
U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya
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. 32 (2) (2022)
Shuting Xu, Oliver Faust, Silvia Seoni, Subrata Chakraborty, Prabal Datta Barua, Hui Wen Loh, Heather Elphick, Filippo Molinari, U. Rajendra Acharya
A review of automated sleep disorder detection. Comput. Biol. Medicine 150 (2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022). Comput. Methods Programs Biomed. 226 (2022)
Hui Wen Loh, Ooi Chui Ping, Prabal Datta Barua, Elizabeth Emma Palmer, Filippo Molinari, U. Rajendra Acharya
Automated detection of ADHD: Current trends and future perspective. Comput. Biol. Medicine 146 (2022)
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 (2021)
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 (2021)
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
Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images. Biomed. Signal Process. Control. 68 (2021)
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 (2021)
Alice Ravizza, Federico Sternini, Filippo Molinari, Eugenio Santoro, Federico Cabitza
A Proposal For COVID-19 Applications Enabling Extensive Epidemiological Studies. CENTERIS/ProjMAN/HCist (2020)
Anjan Gudigar, Jyothi Samanth, U. Raghavendra, Chinmay Dharmik, Akhila Vasudeva, Padmakumar R, Ru San Tan, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya
Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image. IEEE Access 8 (2020)
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)
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 (2020)
Joel Koh En Wei, U. Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U. Rajendra Acharya
A novel hybrid approach for automated detection of retinal detachment using ultrasound images. Comput. Biol. Medicine 120 (2020)
Christopher Kok, V. Jahmunah, Shu Lih Oh, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Kang Hao Cheong, Rashmi Gururajan, Filippo Molinari, U. Rajendra Acharya
Automated prediction of sepsis using temporal convolutional network. Comput. Biol. Medicine 127 (2020)
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)
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 (2020)
U. Rajendra Acharya, Kristen M. Meiburger, Joel Koh En Wei, Yuki Hagiwara, Shu Lih Oh, Sook Sam Leong, Edward J. Ciaccio, Jeannie Hsiu Ding Wong, Mohammad Nazri Md Shah, Filippo Molinari, Kwan Hoong Ng
Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images. Neural Comput. Appl. 32 (15) (2020)
Alice Ravizza, Federico Sternini, Alice Giannini, Filippo Molinari
Methods for Preclinical Validation of Software as a Medical Device. HEALTHINF (2020)
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
Automated plaque classification using computed tomography angiography and Gabor transformations. Artif. Intell. Medicine 100 (2019)
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)
Massimo Salvi, Filippo Molinari, Natalia Dogliani, Martino Bosco
Automatic discrimination of neoplastic epithelium and stromal response in breast carcinoma. Comput. Biol. Medicine 110 (2019)
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)
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)
Nicola Michielli, U. Rajendra Acharya, Filippo Molinari
Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals. Comput. Biol. Medicine 106 (2019)
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
Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. Comput. Biol. Medicine 95 (2018)
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
Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features. Comput. Methods Programs Biomed. 166 (2018)
Kristen M. Meiburger, U. Rajendra Acharya, Filippo Molinari
Automated localization and segmentation techniques for B-mode ultrasound images: A review. Comput. Biol. Medicine 92 (2018)
Filippo Molinari, U. Raghavendra, Anjan Gudigar, Kristen M. Meiburger, U. Rajendra Acharya
An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique. Medical Biol. Eng. Comput. 56 (9) (2018)
Filippo Molinari, Daniele Rimini, William Liboni, U. Rajendra Acharya, Marianno Franzini, Sergio Pandolfi, Giovanni Ricevuti, Francesco Vaiano, Luigi Valdenassi, Vincenzo Simonetti
Cerebrovascular pattern improved by ozone autohemotherapy: an entropy-based study on multiple sclerosis patients. Medical Biol. Eng. Comput. 55 (8) (2017)
U. Rajendra Acharya, Hamido Fujita, Shreya Bhat, U. Raghavendra, Anjan Gudigar, Filippo Molinari, Anushya Vijayananthan, Kwan Hoong Ng
Decision support system for fatty liver disease using GIST descriptors extracted from ultrasound images. Inf. Fusion 29 (2016)
K. Vidya Sudarshan, Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Vinod Chandran, Filippo Molinari, Hamido Fujita, Kwan Hoong Ng
Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review. Comput. Biol. Medicine 69 (2016)
U. Rajendra Acharya, K. Sudarshan Vidya, Dhanjoo N. Ghista, Wei Jie Eugene Lim, Filippo Molinari, Meena Sankaranarayanan
Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method. Knowl. Based Syst. 81 (2015)
Filippo Molinari, Roshan Joy Martis, U. Rajendra Acharya, Kristen M. Meiburger, Riccardo De Luca, Giuliana Petraroli, William Liboni
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 59 (2015)
Valentina Agostini, Daniele Paradiso, Filippo Molinari, Daniele Rimini, Marco Knaflitz, William Liboni
NIRS assessment of brain hemodynamics. MeMeA (2015)
U. Rajendra Acharya, Oliver Faust, Filippo Molinari, Subbhuraam Vinitha Sree, Sameer P. Junnarkar, K. Vidya Sudarshan
Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm. Knowl. Based Syst. 75 (2015)
Samanta Rosati, Gabriella Balestra, Filippo Molinari
Dual Fuzzy-Snake model for IMT measurement in carotid ultrasound images of low- and high-risk patients. BHI (2014)
Luca Saba, Filippo Molinari, Kristen M. Meiburger, U. Rajendra Acharya, Andrew Nicolaides, Jasjit S. Suri
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 43 (9) (2013)
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
Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. EMBC (2013)
U. Rajendra Acharya, Subbhuraam Vinitha Sree, Luca Saba, Filippo Molinari, Stefano Guerriero, Jasjit S. Suri
Ovarian Tumor Characterization and Classification Using Ultrasound - A New Online Paradigm. J. Digit. Imaging 26 (3) (2013)
Filippo Molinari, U. Rajendra Acharya, Roshan Joy Martis, Riccardo De Luca, Giuliana Petraroli, William Liboni
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. 112 (3) (2013)
G. Lintas, Filippo Molinari, Vincenzo Simonetti, Marianno Franzini, William Liboni
Time and time-frequency analysis of near-infrared signals for the assessment of ozone autohemotherapy long-term effects in multiple sclerosis. EMBC (2013)
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
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. 108 (3) (2012)
U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Filippo Molinari, Jasjit S. Suri
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. 107 (2) (2012)
Filippo Molinari, Ganapathy Krishnamurthi, U. Rajendra Acharya, Subbhuraam Vinitha Sree, Guang Zeng, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
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. 61 (4) (2012)
U. Rajendra Acharya, Oliver Faust, Peng Chuan Alvin Ang, Subbhuraam Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound. J. Medical Syst. 36 (3) (2012)
U. Rajendra Acharya, Vinitha Sree S, Filippo Molinari, Luca Saba, Andrew Nicolaides, Shoaib Shafique, Jasjit S. Suri
Carotid ultrasound symptomatology using atherosclerotic plaque characterization: A class of Atheromatic systems. EMBC (2012)
U. Rajendra Acharya, Filippo Molinari, Subbhuraam Vinitha Sree, Subhagata Chattopadhyay, Kwan Hoong Ng, Jasjit S. Suri
Automated diagnosis of epileptic EEG using entropies. Biomed. Signal Process. Control. 7 (4) (2012)
Filippo Molinari, Constantinos S. Pattichis, Guang Zeng, Luca Saba, U. Rajendra Acharya, Roberto Sanfilippo, Andrew Nicolaides, Jasjit S. Suri
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. 21 (3) (2012)
Filippo Molinari, Kristen M. Meiburger, Luca Saba, Giuseppe Ledda, Michele Anzidei, U. Rajendra Acharya, Guang Zeng, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri
Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population. EMBC (2012)
U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
An Accurate and Generalized Approach to Plaque Characterization in 346 Carotid Ultrasound Scans. IEEE Trans. Instrum. Meas. 61 (4) (2012)
U. Rajendra Acharya, Vinitha Sree S, Filippo Molinari, Roberto Garberoglio, Agnieszka Witkowska, Jasjit S. Suri
Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound. EMBC (2012)
Oliver Faust, U. Rajendra Acharya, Filippo Molinari, Subhagata Chattopadhyay, Toshiyo Tamura
Linear and non-linear analysis of cardiac health in diabetic subjects. Biomed. Signal Process. Control. 7 (3) (2012)
U. Rajendra Acharya, Vinitha Sree S, Luca Saba, Filippo Molinari, Stefano Guerriero, Jasjit S. Suri
Ovarian tumor characterization and classification: A class of GyneScan™ systems. EMBC (2012)
U. Rajendra Acharya, Vinitha Sree S, Muthu Rama Krishnan Mookiah, Luca Saba, Filippo Molinari, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri
Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: A novel class of Atheromatic systems. EMBC (2012)
Filippo Molinari, Kristen M. Meiburger, Luca Saba, Guang Zeng, U. Rajendra Acharya, Mario Piga, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri
Distal wall delineation using automated Dual Snake paradigm: A multi-center and multi-ethnic carotid ultrasound evaluation. EMBC (2012)
Filippo Molinari, Kristen M. Meiburger, Guang Zeng, Andrew Nicolaides, Jasjit S. Suri
CAUDLES-EF: Carotid Automated Ultrasound Double Line Extraction System Using Edge Flow. J. Digit. Imaging 24 (6) (2011)
Filippo Molinari, U. Rajendra Acharya, Guang Zeng, Jasjit S. Suri
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. Medical Imaging: Image Processing (2011)
Filippo Molinari, Christos P. Loizou, Guang Zeng, Constantinos S. Pattichis, Marios Pantziaris, William Liboni, Andrew Nicolaides, Jasjit S. Suri
Completely automated multiresolution edge snapper (CAMES): a new technique for an accurate carotid ultrasound IMT measurement and its validation on a multi-institutional database. Medical Imaging: Image Processing (2011)
Filippo Molinari, Kristen M. Meiburger, U. Rajendra Acharya, Guang Zeng, Paulo Sergio Rodrigues, Luca Saba, Andrew Nicolaides, Jasjit S. Suri
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 (2011)
Filippo Molinari, Kristen M. Meiburger, Jasjit S. Suri
Automated high-performance cIMT measurement techniques using patented AtheroEdge™: A screening and home monitoring system. EMBC (2011)
Kristen M. Meiburger, Filippo Molinari, Guang Zeng, Luca Saba, Jasjit S. Suri
Carotid automated ultrasound double line extraction system (CADLES) via Edge-Flow. EMBC (2011)
Filippo Molinari, Guang Zeng, Jasjit S. Suri
Inter-Greedy Technique for Fusion of Different Segmentation Strategies Leading to High-Performance Carotid IMT Measurement in Ultrasound Images. J. Medical Syst. 35 (5) (2011)
Filippo Molinari, U. Rajendra Acharya, Guang Zeng, Kristen M. Meiburger, Jasjit S. Suri
Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images. Medical Biol. Eng. Comput. 49 (8) (2011)
Samanta Rosati, Filippo Molinari, Gabriella Balestra
Feature selection applied to ultrasound carotid images segmentation. EMBC (2011)
Filippo Molinari, Guang Zeng, Jasjit S. Suri
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. Medical Imaging: Image Processing (2010)
Filippo Molinari, Guang Zeng, Jasjit S. Suri
A state of the art review on intima-media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound. Comput. Methods Programs Biomed. 100 (3) (2010)
Filippo Molinari, Samanta Rosati, William Liboni, Emanuela Negri, Ornella Mana, Gianni Allais, Chiara Benedetto
Time-Frequency Characterization of Cerebral Hemodynamics of Migraine Sufferers as Assessed by NIRS Signals. EURASIP J. Adv. Signal Process. 2010 (2010)
Valentina Agostini, Marco Knaflitz, Filippo Molinari
Motion Artifact Reduction in Breast Dynamic Infrared Imaging. IEEE Trans. Biomed. Eng. 56 (3) (2009)
Alberto Vallan, Filippo Molinari
A Vision-Based Technique for Lay Length Measurement of Metallic Wire Ropes. IEEE Trans. Instrum. Meas. 58 (5) (2009)
Valentina Agostini, Silvia Delsanto, Marco Knaflitz, Filippo Molinari
Noise Estimation in Infrared Image Sequences: A Tool for the Quantitative Evaluation of the Effectiveness of Registration Algorithms. IEEE Trans. Biomed. Eng. 55 (7) (2008)
Silvia Delsanto, Filippo Molinari, Pierangela Giustetto, William Liboni, Sergio Badalamenti, Jasjit S. Suri
Characterization of a Completely User-Independent Algorithm for Carotid Artery Segmentation in 2-D Ultrasound Images. IEEE Trans. Instrum. Meas. 56 (4) (2007)
Silvia Delsanto, Filippo Molinari, William Liboni, Pierangela Giustetto, Sergio Badalamenti, Jasjit S. Suri
User-independent Plaque Characterization and Accurate IMT Measurement of Carotid Artery Wall using Ultrasound. EMBC (2006)
Filippo Molinari, Marco Knaflitz, Paolo Bonato, Maria Vittoria Actis
Electrical manifestations of muscle fatigue during concentric and eccentric isokinetic knee flexion-extension movements. IEEE Trans. Biomed. Eng. 53 (7) (2006)
Valentina Agostini, Silvia Delsanto, Filippo Molinari, Marco Knaflitz
Evaluation of feature-based registration in dynamic infrared imaging for breast cancer diagnosis. EMBC (2006)

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Filippo Molinari