| Evaluation of commonly used algorithms for thyroid ultrasound images segmentation and improvement using machine learning approaches P Poudel, A Illanes, D Sheet, M Friebe Journal of healthcare engineering 2018, 2018 | 54 | 2018 |
| Comparison of thyroid segmentation techniques for 3D ultrasound T Wunderlinga, B Gollaa, P Poudelb, C Arensc, M Friebe, C Hansena SPIE Medical Imaging, 1013317-1013317-7, 2017 | 43 | 2017 |
| Thyroid ultrasound texture classification using autoregressive features in conjunction with machine learning approaches P Poudel, A Illanes, EJG Ataide, N Esmaeili, S Balakrishnan, M Friebe IEEE Access 7, 79354-79365, 2019 | 31 | 2019 |
| Anatomical structure segmentation in ultrasound volumes using cross frame belief propagating iterative random walks D China, A Illanes, P Poudel, M Friebe, P Mitra, D Sheet IEEE journal of biomedical and health informatics 23 (3), 1110-1118, 2018 | 27 | 2018 |
| Parametrical modelling for texture characterization—A novel approach applied to ultrasound thyroid segmentation A Illanes, N Esmaeili, P Poudel, S Balakrishnan, M Friebe PloS one 14 (1), e0211215, 2019 | 23 | 2019 |
| 3D segmentation of thyroid ultrasound images using active contours P Poudel, C Hansen, J Sprung, M Friebe Current Directions in Biomedical Engineering 2 (1), 467-470, 2016 | 20 | 2016 |
| Active contours extension and similarity indicators for improved 3D segmentation of thyroid ultrasound images P Poudel12, A Illanes, C Arens, C Hansen, M Friebe SPIE Medical Imaging 10138, 2017 | 19 | 2017 |
| Patch based texture classification of thyroid ultrasound images using convolutional neural network P Poudel, A Illanes, M Sadeghi, M Friebe 2019 41st Annual international conference of the ieee engineering in …, 2019 | 13 | 2019 |
| Debdoot Sheet, and Michael Friebe,“Evaluation of commonly used algorithms for thyroid ultrasound images segmentation and improvement using machine learning approaches,” P Poudel, A Illanes Journal of healthcare engineering 2018, 2018 | 6 | 2018 |
| Linear discriminant analysis and K-means clustering for classification of thyroid texture in ultrasound images P Poudel, E Ataide, A Illanes, M Friebe Proc IEEE Eng Med Biol Soc, 2018 | 5 | 2018 |
| Investigating an optimal signal epoch length for cardiotocographic classification P Fuentealba, A Illanes, F Ortmeier, P Poudel Current Directions in Biomedical Engineering 6 (3), 514-517, 2020 | 3 | 2020 |
| Higher order statistical analysis for thyroid texture classification and segmentation in 2d ultrasound images N Mahmoodian, P Poudel, A Illanes, M Friebe 2019 41st Annual International Conference Of The IEEE Engineering In …, 2019 | 3 | 2019 |
| Feedback-based self-improving CNN algorithm for breast cancer lymph node metastasis detection in real clinical environment M Sadeghi, I Maldonado, N Abele, J Haybaeck, A Boese, P Poudel, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 3 | 2019 |
| Image based ultrasound probe calibration H Götte, AGI Manríquez, M Friebe, S Balakrishnan, P Poudel US Patent 11,911,223, 2024 | 2 | 2024 |
| Performance evaluation of U-Net convolutional neural network on different percentages of training data for thyroid ultrasound image segmentation P Poudel, A Illanes, M Friebe 41st Annu Int Conf IEEE Eng Med Biol Soc, 2-5, 2019 | 1 | 2019 |
| Method and device for characterizing at least one object depicted in an ultrasound image M Friebe, N Esmaeili, EJG Ataide, P Poudel, A Illanes, J Ziegle, ... US Patent App. 18/014,837, 2023 | | 2023 |
| Thyroid Texture Classification Using Machine Learning in Conjunction with Autoregressive Modeling and Deep Learning P Poudel Otto-von-Guericke-Universität Magdeburg, 2019 | | 2019 |
| Thyroid Ultrasound Images Synthesis with Generative Adversarial Networks O Gülkokan, P Poudel BOOK OF PROCEEDINGS, 18, 0 | | |
Michael FriebeProfessor, OVG University Magdeburg, Faculty of Medicine + AGH Kraków + FOMVerified email at friebe.biz
