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Exploring the performance of implicit neural representations for brain image registration

Scientific reports, 2023-10, Vol.13 (1), p.17334-17334, Article 17334

2023

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Breast mass classification with transfer learning based on scaling of deep representations

Biomedical signal processing and control, 2021-08, Vol.69, p.102828, Article 102828

Byra, Michal

2021

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Discriminant analysis of neural style representations for breast lesion classification in ultrasound

Biocybernetics and biomedical engineering, 2018, Vol.38 (3), p.684-690

Byra, Michał

2018

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Automated cartilage segmentation and quantification using 3D ultrashort echo time (UTE) cones MR imaging with deep convolutional neural networks

European radiology, 2021-10, Vol.31 (10), p.7653-7663

2021

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The Influence of Surgical Weight Reduction on Left Atrial Strain

Obesity surgery, 2021-12, Vol.31 (12), p.5243-5250

2021

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Classification of breast lesions using segmented quantitative ultrasound maps of homodyned K distribution parameters

Medical physics (Lancaster), 2016-10, Vol.43 (10), p.5561-5569

2016

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Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions

Medical physics (Lancaster), 2017-11, Vol.44 (11), p.6105-6109

2017

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Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion

Medical physics (Lancaster), 2019-02, Vol.46 (2), p.746-755

2019

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Explaining a deep learning based breast ultrasound image classifier with saliency maps

Journal of ultrasonography, 2022-04, Vol.22 (89), p.70-75

2022

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Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks

IEEE journal of biomedical and health informatics, 2021-03, Vol.25 (3), p.797-805

2021

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Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network

Biomedical signal processing and control, 2020-08, Vol.61, p.102027, Article 102027

2020

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Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment

Ultrasonics, 2022-05, Vol.122, p.106689-106689, Article 106689

2022

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BUS‐Set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets

Medical physics (Lancaster), 2023-05, Vol.50 (5), p.3223-3243

2023

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Ultrasound- and biomarker-based assessment of hepatic steatosis in patients with severe obesity

Polskie archiwum medycyny wewne̦trznej, 2023-01, Vol.133 (1)

2023

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Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks

Ultrasonics, 2022-04, Vol.121, p.106682-106682, Article 106682

2022

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Annular phased array transducer for preclinical testing of anti-cancer drug efficacy on small animals

Ultrasonics, 2017-04, Vol.76, p.92-98

2017

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Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signals

Physics in medicine & biology, 2022-09, Vol.67 (18), p.185007

2022

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Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning

Magnetic resonance in medicine, 2020-03, Vol.83 (3), p.1109-1122

2020

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Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks

Radiology, 2020-05, Vol.295 (2), p.342-350

2020

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Using Empirical Mode Decomposition of Backscattered Ultrasound Signal Power Spectrum for Assessment of Tissue Compression

Archives of acoustics, 2018-01, Vol.43 (3), p.447

2018

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Breast lesion classification based on ultrasonic radio-frequency signals using convolutional neural networks

Biocybernetics and biomedical engineering, 2020-07, Vol.40 (3), p.977-986

2020

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Comparison of deep learning and classical breast mass classification methods in ultrasound

The Journal of the Acoustical Society of America, 2019-10, Vol.146 (4), p.2864-2864

2019

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Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural Networks

Journal of ultrasound in medicine, 2022-01, Vol.41 (1), p.175-184

2022

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High-frequency quantitative ultrasound and B-mode analysis for characterization of peripheral nerves including carpal tunnel syndrome

The Journal of the Acoustical Society of America, 2019-10, Vol.146 (4), p.2809-2809

2019

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Ultrasonic Measurement of Temperature Rise in Breast Cyst and in Neighbouring Tissues as a Method of Tissue Differentiation

Archives of acoustics, 2016-12, Vol.41 (4), p.791-798

2016

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Exploring the performance of implicit neural representations for brain image registration

Breast mass classification with transfer learning based on scaling of deep representations

Discriminant analysis of neural style representations for breast lesion classification in ultrasound

Automated cartilage segmentation and quantification using 3D ultrashort echo time (UTE) cones MR imaging with deep convolutional neural networks

The Influence of Surgical Weight Reduction on Left Atrial Strain

Classification of breast lesions using segmented quantitative ultrasound maps of homodyned K distribution parameters

Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions

Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion

Explaining a deep learning based breast ultrasound image classifier with saliency maps

Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks

Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network

Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment

BUS‐Set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets

Ultrasound- and biomarker-based assessment of hepatic steatosis in patients with severe obesity

Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks

Annular phased array transducer for preclinical testing of anti-cancer drug efficacy on small animals

Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signals

Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning

Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks

Using Empirical Mode Decomposition of Backscattered Ultrasound Signal Power Spectrum for Assessment of Tissue Compression

Breast lesion classification based on ultrasonic radio-frequency signals using convolutional neural networks

Comparison of deep learning and classical breast mass classification methods in ultrasound

Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural Networks

High-frequency quantitative ultrasound and B-mode analysis for characterization of peripheral nerves including carpal tunnel syndrome

Ultrasonic Measurement of Temperature Rise in Breast Cyst and in Neighbouring Tissues as a Method of Tissue Differentiation

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