Katarzyna Dobruch-Sobczak

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

Andrzej Nowicki, Michał Byra, Hanna Wróblewska-Piotrzkowska, 2016, Medical physics.

Added value of morphological features to breast lesion diagnosis in ultrasound pdf

Andrzej Nowicki, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wróblewska, 2017, ArXiv.

Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning pdf

Krzysztof Marasek, Andrzej Nowicki, Katarzyna Dobruch-Sobczak, 2018, ArXiv.

Quantitative Ultrasound of Tumor Surrounding Tissue for Enhancement of Breast Cancer Diagnosis

Piotr Karwat, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, 2018, IWBBIO.

Combining Nakagami imaging and convolutional neural networks for breast lesion classification

Andrzej Nowicki, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wróblewska, 2017, 2017 IEEE International Ultrasonics Symposium (IUS).

Impact of Ultrasound Image Reconstruction Method on Breast Lesion Classification with Deep Learning

Krzysztof Marasek, Andrzej Nowicki, Katarzyna Dobruch-Sobczak, 2019, IbPRIA.

Correcting the influence of tissue attenuation on Nakagami distribution shape parameter estimation

Andrzej Nowicki, Katarzyna Dobruch-Sobczak, Michal Byra, 2015, 2015 IEEE International Ultrasonics Symposium (IUS).

Differentiation of normal tissue and tissue lesions using statistical properties of backscattered ultrasound in breast

Andrzej Nowicki, Barbara Gambin, Katarzyna Dobruch-Sobczak, 2015, 2015 IEEE International Ultrasonics Symposium (IUS).

Ultrasound echogenicity reveals the response of breast cancer to chemotherapy.

Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wróblewska, 2019, Clinical imaging.