Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Jerzy, Litniewski"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Echocardiographic assessment of systolic and diastolic function of the heart is often limited by image quality. However, the aortic root is well visualized in most patients. We hypothesize that the aortic root motion may correlate with the s
Externí odkaz:
https://doaj.org/article/8f2151d69b7e42eba32671e80e8f8e02
Autor:
Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wróblewska, Ziemowit Klimoda, Wojciech Secomski, Piotr Karwat, Ewa Markiewicz-Grodzicka, Agnieszka Kolasińska-Ćwikła, Katarzyna Roszkowska-Purska, Jerzy Litniewski
Publikováno v:
Journal of Ultrasonography, Vol 19, Iss 77, Pp 89-97 (2019)
Objective: Neoadjuvant chemotherapy was initially used in locally advanced breast cancer, and currently it is recommended for patients with Stage 3 and with early-stage disease with human epidermal growth factor receptors positive or triple-negative
Externí odkaz:
https://doaj.org/article/fbac398e30b24911a6c70938389cbc29
Autor:
Hanna Piotrzkowska-Wróblewska, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Piotr Karwat, Katarzyna Roszkowska-Purska, Magdalena Gumowska, Jerzy Litniewski
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0213749 (2019)
BackgroundNeoadjuvant chemotherapy (NAC) is used in patients with breast cancer to reduce tumor focus, metastatic risk, and patient mortality. Monitoring NAC effects is necessary to capture resistant patients and stop or change treatment. The existin
Externí odkaz:
https://doaj.org/article/9a9ccd58e8ab4908b1cbf5f56080c2a7
Autor:
Ziemowit, Klimonda, Piotr, Karwat, Katarzyna, Dobruch-Sobczak, Hanna, Piotrzkowska-Wróblewska, Jerzy, Litniewski
Publikováno v:
Medical Physics. 49:1047-1054
Neo-adjuvant chemotherapy (NAC) is used in breast cancer before tumor surgery to reduce the size of the tumor and the risk of spreading. Monitoring the effects of NAC is important because in a number of cases the response to therapy is poor and requi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f881020e6f01d797aaca391ae341689
https://doi.org/10.1002/mp.15428
https://doi.org/10.1002/mp.15428
Autor:
Hanna Piotrzkowska-Wroblewska, Katarzyna Dobruch-Sobczak, Magdalena Gumowska, Jerzy Litniewski
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ad370b8a6eee46adbadc0a230604cb2
https://doi.org/10.1109/ius54386.2022.9957940
https://doi.org/10.1109/ius54386.2022.9957940
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63f90426938698ce7f504523cae9f993
https://doi.org/10.1109/ius54386.2022.9958723
https://doi.org/10.1109/ius54386.2022.9958723
Autor:
Michal Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wroblewska, Ziemowit Klimonda, Jerzy Litniewski
Publikováno v:
Physics in medicine and biology. 67(18)
Objective. Prediction of the response to neoadjuvant chemotherapy (NAC) in breast cancer is important for patient outcomes. In this work, we propose a deep learning based approach to NAC response prediction in ultrasound (US) imaging. Approach. We de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fc03c3027bf68d98d33a4d368855ab5
https://pubmed.ncbi.nlm.nih.gov/36001984
https://pubmed.ncbi.nlm.nih.gov/36001984
Autor:
Anna Pawłowska, Norbert Żołek, Beata Leśniak-Plewińska, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wróblewska, Jerzy Litniewski
Publikováno v:
Biomedical Signal Processing and Control. 80:104393
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d03c5d8d63381b4d67ab8a3cedb8d9
https://doi.org/10.1016/j.bspc.2022.104393
https://doi.org/10.1016/j.bspc.2022.104393
Autor:
Michał, Byra, Katarzyna, Dobruch-Sobczak, Hanna, Piotrzkowska-Wroblewska, Ziemowit, Klimonda, Jerzy, Litniewski
Publikováno v:
Journal of ultrasonography. 22(89)
Deep neural networks have achieved good performance in breast mass classification in ultrasound imaging. However, their usage in clinical practice is still limited due to the lack of explainability of decisions conducted by the networks. In this stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a32f0bc5f144c37e42622a20e82785a0
https://pubmed.ncbi.nlm.nih.gov/35811586
https://pubmed.ncbi.nlm.nih.gov/35811586
Publikováno v:
Journal of ultrasonography. 22(89)
Neoadjuvant chemotherapy is increasingly becoming the first treatment step in breast cancer. Despite the enormous advantages of this therapy, it is a method characterized by a high level of toxicity and thus carries a huge burden for the patient. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3c106ea1899a8d0865f9882b32c55f71
https://pubmed.ncbi.nlm.nih.gov/35811589
https://pubmed.ncbi.nlm.nih.gov/35811589