Quantitative Ultrasound of Tumor Surrounding Tissue for Enhancement of Breast Cancer Diagnosis. - Ziemowit Klimonda; Katarzyna Dobruch-Sobczak; Hanna Piotrzkowska-Wróblewska; Piotr Karwat; Jerzy Litniewski (IWBBIO (2), 2018)

Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net. - Michal Byra; Piotr Jarosik; Katarzyna Dobruch-Sobczak; Ziemowit Klimonda; Hanna Piotrzkowska-Wróblewska; Jerzy Litniewski; Andrzej Nowicki (CoRR, 2020)

Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks. - Michal Byra; Katarzyna Dobruch-Sobczak; Ziemowit Klimonda; Hanna Piotrzkowska-Wróblewska; Jerzy Litniewski (IEEE J. Biomed. Health Informatics, 2021)

Deep meta-learning for the selection of accurate ultrasound based breast mass classifier. - Michal Byra; Piotr Karwat; Ivan Ryzhankow; Piotr Komorowski; Ziemowit Klimonda; Lukasz Fura; Anna Pawlowska; Norbert Zolek; Jerzy Litniewski (CoRR, 2022)

Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification. - Michal Byra; Ziemowit Klimonda; Jerzy Litniewski (DEMI@MICCAI, 2023)

Preliminary assessment of the effectiveness of neoadjuvant chemotherapy in breast cancer with the use of ultrasound image quality indexes. - Anna Pawlowska; Norbert Zolek; Beata Lesniak-Plewinska; Katarzyna Dobruch-Sobczak; Ziemowit Klimonda; Hanna Piotrzkowska-Wróblewska; Jerzy Litniewski (Biomed. Signal Process. Control., 2023)

Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Probability Maps Derived from Quantitative Ultrasound Parametric Images. - Piotr Karwat; Hanna Piotrzkowska-Wróblewska; Ziemowit Klimonda; Katarzyna Dobruch-Sobczak; Jerzy Litniewski (IEEE Trans. Biomed. Eng., 2024)