Kristen M. Meiburger

According to our database, Kristen M. Meiburger authored at least 35 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2024

2023

Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm.

Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study.

Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

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

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

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, 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

Comput. Biol. Medicine, 2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

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

2020

Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images.

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

Neural Comput. Appl., 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

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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, Sukanta Sabut

Cogn. Syst. Res., 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

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, Ángela Chantre Astaiza, Gustavo Ramírez-González

IEEE Access, 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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

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

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 localization and segmentation techniques for B-mode ultrasound images: A review.

Kristen M. Meiburger, U. Rajendra Acharya, Filippo Molinari

Comput. Biol. Medicine, 2018

2015

Quantitative Ultrasound and Photoacoustic Imaging Techniques for the Assessment of Architectural and Vascular Parameters.

Kristen M. Meiburger

PhD thesis, 2015

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

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

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, Jasjit S. Suri

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

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

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

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

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

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

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

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

Automated high-performance cIMT measurement techniques using patented AtheroEdge™: A screening and home monitoring system.

Filippo Molinari, Kristen M. Meiburger, Jasjit S. Suri

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Carotid automated ultrasound double line extraction system (CADLES) via Edge-Flow.

Kristen M. Meiburger, Filippo Molinari, Guang Zeng, Luca Saba, Jasjit S. Suri

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011