Zobrazeno 1 - 10
of 1 656
pro vyhledávání: '"Torda A"'
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
Autor:
Torda, Tommaso, Ciardiello, Andrea, Gargiulo, Simona, Grillo, Greta, Scardapane, Simone, Voena, Cecilia, Giagu, Stefano
In recent years Artificial Intelligence has emerged as a fundamental tool in medical applications. Despite this rapid development, deep neural networks remain black boxes that are difficult to explain, and this represents a major limitation for their
Externí odkaz:
http://arxiv.org/abs/2405.12222
Autor:
Dániel Bálint, Ádám Levente Póti, Anita Alexa, Péter Sok, Krisztián Albert, Lili Torda, Dóra Földesi-Nagy, Dániel Csókás, Gábor Turczel, Tímea Imre, Eszter Szarka, Ferenc Fekete, Isabel Bento, Márton Bojtár, Roberta Palkó, Pál Szabó, Katalin Monostory, Imre Pápai, Tibor Soós, Attila Reményi
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract There has been a surge of interest in covalent inhibitors for protein kinases in recent years. Despite success in oncology, the off-target reactivity of these molecules is still hampering the use of covalent warhead-based strategies. Herein,
Externí odkaz:
https://doaj.org/article/a3e63eb44b28449ba2031704dd9ee83f
Autor:
Marciano, Antonino, Zappala, Emanuele, Torda, Tommaso, Lulli, Matteo, Giagu, Stefano, Fields, Chris, Chen, Deen, Fabrocini, Filippo
Deep Neural Networks miss a principled model of their operation. A novel framework for supervised learning based on Topological Quantum Field Theory that looks particularly well suited for implementation on quantum processors has been recently explor
Externí odkaz:
http://arxiv.org/abs/2210.13741
Publikováno v:
Phys. Rev. E 106, 054603 (2022)
Packings of regular convex polygons ($n$-gons) that are sufficiently dense have been studied extensively in the context of modeling physical and biological systems as well as discrete and computational geometry. Former results were mainly regarding d
Externí odkaz:
http://arxiv.org/abs/2207.08959
Molecular crystal structure prediction (CSP) seeks the most stable periodic structure given the chemical composition of a molecule and pressure-temperature conditions. Modern CSP solvers use global optimization methods to search for structures with m
Externí odkaz:
http://arxiv.org/abs/2202.11959
Autor:
Ioan Hutu, Bianca Cornelia Lungu, Ioana Irina Spataru, Iuliu Torda, Tiberiu Iancu, Paul Andrew Barrow, Calin Mircu
Publikováno v:
Animals, Vol 14, Iss 15, p 2266 (2024)
Antimicrobial therapy is the most frequently used medical intervention for bovine mastitis in the dairy industry. This study aims to monitor the extent of the antimicrobial resistance (AMR) problem in Staphylococcus aureus in the dairy industry in We
Externí odkaz:
https://doaj.org/article/f21dc5f4518b4a4eb65bf616785e13d7
Autor:
Under The Pole Consortium, Pérez-Rosales, Gonzalo, Pichon, Michel, Rouzé, Héloïse, Villéger, Sébastien, Torda, Gergely, Bongaerts, Pim, Carlot, Jérémy, Parravicini, Valeriano, Hédouin, Laetitia
Publikováno v:
Diversity and Distributions, 2022 Jul 01. 28(7), 1391-1403.
Externí odkaz:
https://www.jstor.org/stable/48673122
Publikováno v:
Algorithms for Molecular Biology, Vol 3, Iss 1, p 4 (2008)
Abstract Background Protein structure alignments are usually based on very different techniques to sequence alignments. We propose a method which treats sequence, structure and even combined sequence + structure in a single framework. Using a probabi
Externí odkaz:
https://doaj.org/article/419843c89ad54dc48820448abe1088a8
Autor:
Jacqueline Loprete, MBBS, Robyn Richardson, Valerie Bramah, BSc, MOT, Simon Comben, BSc, Timothy Li, MBChB, MRCP, Liam Beiglari, Robert O’Neill, BMed Sci, MBBS, Callum McEwan, BAdvSci (Hons), Andrew Carr, DSc, MD, MBBS, Winnie Tong, MBBS, PhD, Dianne Campbell, Melanie Wong, Louise Evans, Jeffrey Post, Adrienne Torda, Alisa Kane, Anthony Kelleher, Brynn Wainstein, Brendan McMullan, Matthew Law
Publikováno v:
Journal of Allergy and Clinical Immunology: Global, Vol 2, Iss 4, Pp 100160- (2023)
Background: To improve β-lactam delabeling outcomes, we need to understand current practice and the evidence base regarding its outcomes, safety, and impact. Objectives: We sought to assess the existing published evidence reporting on the effectiven
Externí odkaz:
https://doaj.org/article/f7a6c8a9795d4999863fce614d0a2207
Autor:
Seale, Holly, Carlson, Samantha J., Maley, Michael, Clezy, Kate, Torda, Adrienne, Konecny, Pamela
Publikováno v:
In AJIC: American Journal of Infection Control August 2023 51(8):852-858