Kristen M. Meiburger

41 papers Journal 25Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Parametric kernels for artifact mitigation in patch-based image aggregation using generative models. Comput. Vis. Image Underst. Nicola Michielli, Francesco Marzola, Francesco Branciforti, Kristen M. Meiburger, Alessandro Gambella, Massimo Salvi
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
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`	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`	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`	Hybrid Wavelet-Deep Learning Framework for Fluorescence Microscopy Images Enhancement. Int. J. Imaging Syst. Technol. Francesco Branciforti, Maura Maggiore, Kristen M. Meiburger, Tania Pannellini, Massimo Salvi
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	—	`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	—	`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
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`	DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks. Comput. Methods Programs Biomed. Massimo Salvi, Francesco Branciforti, Federica Veronese, Elisa Zavattaro, Vanessa Tarantino, Paola Savoia, Kristen M. Meiburger
2022	—	`conf`	Detecting anatomical characteristics of single motor units by combining high density electromyography and ultrafast ultrasound: a simulation study. EMBC Marco Carbonaro, Silvia Zaccardi, Silvia Seoni, Kristen M. Meiburger, Alberto Botter
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
2021	J	`jnl`	Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment. Comput. Biol. Medicine Francesco Marzola, Nens van Alfen, Jonne Doorduin, Kristen M. Meiburger
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	J	`jnl`	Automated detection of calcified plaque using higher-order spectra cumulant technique in computer tomography angiography images. Int. J. Imaging Syst. Technol. 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
2020	—	`conf`	Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. EMBC Francesco Marzola, Nens van Alfen, Massimo Salvi, Bruno De Santi, Jonne Doorduin, Kristen M. Meiburger
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
2019	J	`jnl`	A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery. IEEE Access 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, Ángela Chantre Astaiza, Gustavo Ramírez-González
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 detection of ischemic stroke using higher order spectra features in brain MRI images. Cogn. Syst. Res. U. Rajendra Acharya, Kristen M. Meiburger, Oliver Faust, Joel E. W. Koh, Shu Lih Oh, Edward J. Ciaccio, Asit Kumar Subudhi, V. Jahmunah, Sukanta Sabut
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
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	—	`—`	Quantitative Ultrasound and Photoacoustic Imaging Techniques for the Assessment of Architectural and Vascular Parameters. Kristen M. Meiburger
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`	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
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`	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`	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	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	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