Michał Byra
Institute of Fundamental Technological Research(PL)Polish Academy of Sciences(PL)
Publications by Year
Research Areas
AI in cancer detection, Ultrasound Imaging and Elastography, Radiomics and Machine Learning in Medical Imaging, Ultrasonics and Acoustic Wave Propagation, Medical Image Segmentation Techniques
Most-Cited Works
- → Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network(2020)303 cited
- → Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images(2018)278 cited
- → Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion(2018)251 cited
- → Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks(2020)143 cited
- → Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions(2017)115 cited
- → Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning(2019)83 cited
- → Breast mass classification with transfer learning based on scaling of deep representations(2021)76 cited
- → Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks(2020)75 cited
- → Discriminant analysis of neural style representations for breast lesion classification in ultrasound(2018)57 cited
- → Classification of breast lesions using segmented quantitative ultrasound maps of homodyned K distribution parameters(2016)55 cited