Zobrazeno 1 - 10
of 3 061
pro vyhledávání: '"Niezgoda, A"'
Autor:
Dhar, Mrinal Kanti, Wang, Chuanbo, Patel, Yash, Zhang, Taiyu, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Chen, Keke, Yu, Zeyun
Identifying individual tissues, so-called tissue segmentation, in diabetic foot ulcer (DFU) images is a challenging task and little work has been published, largely due to the limited availability of a clinical image dataset. To address this gap, we
Externí odkaz:
http://arxiv.org/abs/2406.16012
Incorporating scientific knowledge into deep learning (DL) models for materials-based simulations can constrain the network's predictions to be within the boundaries of the material system. Altering loss functions or adding physics-based regularizati
Externí odkaz:
http://arxiv.org/abs/2405.08580
Spin-squeezing in systems with single-particle control is a well-established resource of modern quantum technology. Applied in an optical lattice clock can reduce the statistical uncertainty of spectroscopic measurements. Here, we consider dynamic ge
Externí odkaz:
http://arxiv.org/abs/2403.06521
Autor:
Patel, Yash, Shah, Tirth, Dhar, Mrinal Kanti, Zhang, Taiyu, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Yu, Zeyun
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments. Recognizing this need, we introduce an innovative multi-modal network
Externí odkaz:
http://arxiv.org/abs/2308.11877
Autor:
Maria Grześ, Akanksha Jaiswar, Marcin Grochowski, Weronika Wojtyś, Wojciech Kaźmierczak, Tomasz Olesiński, Małgorzata Lenarcik, Magdalena Nowak-Niezgoda, Małgorzata Kołos, Giulia Canarutto, Silvano Piazza, Jacek R. Wiśniewski, Dawid Walerych
Publikováno v:
Cell Death and Disease, Vol 15, Iss 8, Pp 1-14 (2024)
Abstract The major driver oncogenes MYC, mutant KRAS, and mutant TP53 often coexist and cooperate to promote human neoplasia, which results in anticancer therapeutic opportunities within their downstream molecular programs. However, little research h
Externí odkaz:
https://doaj.org/article/9414c21bde1b406f93c8d9ee00d638ad
Autor:
Anna Niezgoda, Andrzej Winnicki, Jerzy Krysiński, Piotr Niezgoda, Laura Nowowiejska, Rafał Czajkowski
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Contemporary treatment of vitiligo remains a great challenge to practitioners. The vast majority of currently conducted clinical trials of modern therapeutic methods are focused on systemic medications, while there is only a very limited num
Externí odkaz:
https://doaj.org/article/4a9e1d3ab5584b389ba83ad9e43cadfd
Autor:
Niezgoda, Piotr1 (AUTHOR) piotr.niezg@gmail.com, Kasprzak, Michał1 (AUTHOR), Kubica, Jacek1 (AUTHOR), Kuźma, Łukasz2 (AUTHOR), Januszek, Rafał3 (AUTHOR), Iwańczyk, Sylwia4 (AUTHOR), Tomasiewicz, Brunon5 (AUTHOR), Bil, Jacek6 (AUTHOR), Kowalewski, Mariusz7,8,9 (AUTHOR), Jaguszewski, Miłosz10 (AUTHOR), Wybraniec, Maciej11 (AUTHOR), Reczuch, Krzysztof5 (AUTHOR), Dobrzycki, Sławomir2 (AUTHOR), Bartuś, Stanisław12 (AUTHOR), Lesiak, Maciej4 (AUTHOR), Gąsior, Mariusz13 (AUTHOR), Wolny, Rafał14 (AUTHOR), Witkowski, Adam14 (AUTHOR), Gil, Robert6 (AUTHOR), Cortese, Bernardo15,16 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Aug2024, Vol. 13 Issue 15, p4464. 16p.
Autor:
Yash Patel, Tirth Shah, Mrinal Kanti Dhar, Taiyu Zhang, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments. Recognizing this need, we introduce an innovative multi-modal
Externí odkaz:
https://doaj.org/article/bd2629b8e5604a6396e91c51cd255ca3
Autonomous experimentation systems have been used to greatly advance the integrated computational materials engineering (ICME) paradigm. This paper outlines a framework that enables the design and selection of data collection workflows for autonomous
Externí odkaz:
http://arxiv.org/abs/2206.07108
The classification of wound severity is a critical step in wound diagnosis. An effective classifier can help wound professionals categorize wound conditions more quickly and affordably, allowing them to choose the best treatment option. This study us
Externí odkaz:
http://arxiv.org/abs/2204.07942