Carotid automated ultrasound double line extraction system (CADLES) via Edge-Flow. - Kristen M. Meiburger; Filippo Molinari; Guang Zeng; Luca Saba; Jasjit S. Suri (EMBC, 2011)

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. - Filippo Molinari; Kristen M. Meiburger; U. Rajendra Acharya; Guang Zeng; Paulo Sergio Rodrigues; Luca Saba; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2011)

Automated high-performance cIMT measurement techniques using patented AtheroEdge™: A screening and home monitoring system. - Filippo Molinari; Kristen M. Meiburger; Jasjit S. Suri (EMBC, 2011)

CAUDLES-EF: Carotid Automated Ultrasound Double Line Extraction System Using Edge Flow. - Filippo Molinari; Kristen M. Meiburger; Guang Zeng; Andrew Nicolaides; Jasjit S. Suri (J. Digit. Imaging, 2011)

Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images. - Filippo Molinari; U. Rajendra Acharya; Guang Zeng; Kristen M. Meiburger; Jasjit S. Suri (Medical Biol. Eng. Comput., 2011)

Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population. - Filippo Molinari; Kristen M. Meiburger; Luca Saba; Giuseppe Ledda; Michele Anzidei; U. Rajendra Acharya; Guang Zeng; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2012)

Distal wall delineation using automated Dual Snake paradigm: A multi-center and multi-ethnic carotid ultrasound evaluation. - Filippo Molinari; Kristen M. Meiburger; Luca Saba; Guang Zeng; U. Rajendra Acharya; Mario Piga; Shoaib Shafique; Andrew Nicolaides; Jasjit S. Suri (EMBC, 2012)

Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods. - 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 (Comput. Methods Programs Biomed., 2012)

Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. - 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; et al. (EMBC, 2013)

Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers. - Luca Saba; Filippo Molinari; Kristen M. Meiburger; U. Rajendra Acharya; Andrew Nicolaides; Jasjit S. Suri (Comput. Biol. Medicine, 2013)

Empirical mode decomposition analysis of near-infrared spectroscopy muscular signals to assess the effect of physical activity in type 2 diabetic patients. - Filippo Molinari; Roshan Joy Martis; U. Rajendra Acharya; Kristen M. Meiburger; Riccardo De Luca; Giuliana Petraroli; William Liboni (Comput. Biol. Medicine, 2015)

Quantitative Ultrasound and Photoacoustic Imaging Techniques for the Assessment of Architectural and Vascular Parameters. - Kristen M. Meiburger (2015)

Automated localization and segmentation techniques for B-mode ultrasound images: A review. - Kristen M. Meiburger; U. Rajendra Acharya; Filippo Molinari (Comput. Biol. Medicine, 2018)

Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images. - 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 (Comput. Biol. Medicine, 2018)

Automated detection and classification of liver fibrosis stages using contourlet transform and nonlinear features. - 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 (Comput. Methods Programs Biomed., 2018)

An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique. - Filippo Molinari; U. Raghavendra; Anjan Gudigar; Kristen M. Meiburger; U. Rajendra Acharya (Medical Biol. Eng. Comput., 2018)

Automatic Extraction of Dermatological Parameters from Nevi Using an Inexpensive Smartphone Microscope: A Proof of Concept. - Kristen M. Meiburger; Federica Veronese; Vanessa Tarantino; Massimo Salvi; Matteo Fadda; Silvia Seoni; Elisa Zavattaro; Bruno De Santi; Nicola Michielli; Paola Savoia; Filippo Molinari (EMBC, 2019)

Multimodal T2w and DWI Prostate Gland Automated Registration. - Bruno De Santi; Massimo Salvi; Valentina Giannini; Kristen M. Meiburger; Nicola Michielli; Silvia Seoni; Daniele Regge; Filippo Molinari (EMBC, 2019)

Non-invasive analysis of actinic keratosis using a cold stimulation and near-infrared spectroscopy. - Silvia Seoni; Federica Veronese; Vanessa Tarantino; Elisa Zavattaro; Massimo Salvi; Nicola Michielli; Bruno De Santi; Filippo Molinari; Paola Savoia; Kristen M. Meiburger (EMBC, 2019)

A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery. - U. Rajendra Acharya; Kristen M. Meiburger; Joel E. W. Koh; Edward J. Ciaccio; Arunkumar N.; Mee Hoong See; Nur Aishah Mohd Taib; Anushya Vijayananthan; Kartini Rahmat; Farhana Fadzli; Sook Sam Leong; Caroline Judy Westerhout; et al. (IEEE Access, 2019)

Automated plaque classification using computed tomography angiography and Gabor transformations. - 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 (Artif. Intell. Medicine, 2019)

Automatic detection of ischemic stroke using higher order spectra features in brain MRI images. - U. Rajendra Acharya; Kristen M. Meiburger; Oliver Faust; Joel E. W. Koh; Shu Lih Oh; Edward J. Ciaccio; Asit Kumar Subudhi; V. Jahmunah 001; Sukanta Sabut (Cogn. Syst. Res., 2019)

Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. - Francesco Marzola; Nens van Alfen; Massimo Salvi; Bruno De Santi; Jonne Doorduin; Kristen M. Meiburger (EMBC, 2020)

Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images. - Bruno De Santi; Massimo Salvi; Valentina Giannini; Kristen M. Meiburger; Francesco Marzola; Filippo Russo; Martino Bosco; Filippo Molinari (EMBC, 2020)

Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images. - U. Rajendra Acharya; Kristen M. Meiburger; Joel E. W. Koh; Edward J. Ciaccio; Jahmunah Vicnesh; Sock Keow Tan; Jeannie Hsiu Ding Wong; Raja Rizal Azman Raja Aman; Kwan Hoong Ng (Int. J. Imaging Syst. Technol., 2020)

Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment. - Francesco Marzola; Nens van Alfen; Jonne Doorduin; Kristen M. Meiburger (Comput. Biol. Medicine, 2021)

The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis. - Massimo Salvi; U. Rajendra Acharya; Filippo Molinari; Kristen M. Meiburger (Comput. Biol. Medicine, 2021)

Detecting anatomical characteristics of single motor units by combining high density electromyography and ultrafast ultrasound: a simulation study. - Marco Carbonaro; Silvia Zaccardi; Silvia Seoni; Kristen M. Meiburger; Alberto Botter (EMBC, 2022)

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. - 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; et al. (Comput. Biol. Medicine, 2022)

DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks. - Massimo Salvi; Francesco Branciforti; Federica Veronese; Elisa Zavattaro; Vanessa Tarantino; Paola Savoia; Kristen M. Meiburger (Comput. Methods Programs Biomed., 2022)

Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images. - Massimo Salvi; Bruno De Santi; Bianca Pop; Martino Bosco; Valentina Giannini; Daniele Regge; Filippo Molinari; Kristen M. Meiburger (J. Imaging, 2022)

Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study. - Francesco Marzola; Kristen M. Meiburger; Filippo Molinari; Massimo Salvi (DSP, 2023)

Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm. - Francesco Marzola; Kristen M. Meiburger; Filippo Molinari; Massimo Salvi (Computer-Aided Diagnosis, 2023)

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images. - Tanweer Ali; Sameena Pathan; Massimo Salvi; Kristen M. Meiburger; Filippo Molinari; U. Rajendra Acharya (IEEE Access, 2024)

Softmax-Driven Active Shape Model for Segmenting Crowded Objects in Digital Pathology Images. - Massimo Salvi; Kristen M. Meiburger; Filippo Molinari (IEEE Access, 2024)

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems. - Silvia Seoni; Alen Shahini; Kristen M. Meiburger; Francesco Marzola; Giulia Rotunno; U. Rajendra Acharya; Filippo Molinari; Massimo Salvi (Comput. Methods Programs Biomed., 2024)

Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm. - Massimo Salvi; Francesco Branciforti; Filippo Molinari; Kristen M. Meiburger (Expert Syst. Appl., 2024)

Hybrid Wavelet-Deep Learning Framework for Fluorescence Microscopy Images Enhancement. - Francesco Branciforti; Maura Maggiore; Kristen M. Meiburger; Tania Pannellini; Massimo Salvi (Int. J. Imaging Syst. Technol., 2024)

cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels. - Massimo Salvi; Nicola Michielli; Kristen M. Meiburger; Cristina Cattelino; Bruna Cotrufo; Matteo Giacosa; Chiara Giovanzana; Filippo Molinari (Int. J. Imaging Syst. Technol., 2024)

Parametric kernels for artifact mitigation in patch-based image aggregation using generative models. - Nicola Michielli; Francesco Marzola; Francesco Branciforti; Kristen M. Meiburger; Alessandro Gambella; Massimo Salvi (Comput. Vis. Image Underst., 2025)