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Ziemowit Klimonda

Showing results (1-10 of 14) with videos related to

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IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|June 3, 2016
Tissue Attenuation Estimation by Mean Frequency Downshift and Bandwidth LimitationZiemowit Klimonda, Michiel Postema, Andrzej Nowicki, et al.
Ultrasonics|February 8, 2022
Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatmentMichal Byra, Ziemowit Klimonda, Eleonora Kruglenko, et al.
Ultrasound in Medicine & Biology|March 6, 2007
Sound fields for coded excitations in water and tissue: experimental approachJerzy Litniewski, Andrzej Nowicki, Ziemowit Klimonda, et al.
Scientific Reports|February 25, 2021
Aortic root movement correlation with the function of the left ventriclePiotr Karwat, Ziemowit Klimonda, Grzegorz Styczyński, et al.
Medical Physics|December 26, 2021
Assessment of breast cancer response to neoadjuvant chemotherapy based on ultrasound backscattering envelope statisticsZiemowit Klimonda, Piotr Karwat, Katarzyna Dobruch-Sobczak, et al.
Scientific Reports|May 30, 2019
Breast-lesions characterization using Quantitative Ultrasound features of peritumoral tissueZiemowit Klimonda, Piotr Karwat, Katarzyna Dobruch-Sobczak, et al.
IEEE Journal of Biomedical and Health Informatics|August 5, 2020
Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural NetworksMichal Byra, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, et al.
Physics in Medicine and Biology|August 24, 2022
Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signalsMichal Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wroblewska, et al.
Journal of Ultrasonography|July 11, 2022
Explaining a Deep Learning Based Breast Ultrasound Image Classifier with Saliency MapsMichał Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wroblewska, et al.
IEEE Transactions on Bio-Medical Engineering|April 1, 2024
Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Probability Maps Derived from Quantitative Ultrasound Parametric ImagesPiotr Karwat, Hanna Piotrzkowska-Wroblewska, Ziemowit Klimonda, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|June 3, 2016
Tissue Attenuation Estimation by Mean Frequency Downshift and Bandwidth LimitationZiemowit Klimonda, Michiel Postema, Andrzej Nowicki, et al.
Ultrasonics|February 8, 2022
Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatmentMichal Byra, Ziemowit Klimonda, Eleonora Kruglenko, et al.
Ultrasound in Medicine & Biology|March 6, 2007
Sound fields for coded excitations in water and tissue: experimental approachJerzy Litniewski, Andrzej Nowicki, Ziemowit Klimonda, et al.
Scientific Reports|February 25, 2021
Aortic root movement correlation with the function of the left ventriclePiotr Karwat, Ziemowit Klimonda, Grzegorz Styczyński, et al.
Medical Physics|December 26, 2021
Assessment of breast cancer response to neoadjuvant chemotherapy based on ultrasound backscattering envelope statisticsZiemowit Klimonda, Piotr Karwat, Katarzyna Dobruch-Sobczak, et al.
Scientific Reports|May 30, 2019
Breast-lesions characterization using Quantitative Ultrasound features of peritumoral tissueZiemowit Klimonda, Piotr Karwat, Katarzyna Dobruch-Sobczak, et al.
IEEE Journal of Biomedical and Health Informatics|August 5, 2020
Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural NetworksMichal Byra, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, et al.
Physics in Medicine and Biology|August 24, 2022
Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signalsMichal Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wroblewska, et al.
Journal of Ultrasonography|July 11, 2022
Explaining a Deep Learning Based Breast Ultrasound Image Classifier with Saliency MapsMichał Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wroblewska, et al.
IEEE Transactions on Bio-Medical Engineering|April 1, 2024
Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Probability Maps Derived from Quantitative Ultrasound Parametric ImagesPiotr Karwat, Hanna Piotrzkowska-Wroblewska, Ziemowit Klimonda, et al.
Pageof 2