Zobrazeno 1 - 10
of 483
pro vyhledávání: '"Stathi, P."'
Autor:
Fotiadis, Stathi, Brenowitz, Noah, Geffner, Tomas, Cohen, Yair, Pritchard, Michael, Vahdat, Arash, Mardani, Morteza
Conditioning diffusion and flow models have proven effective for super-resolving small-scale details in natural images.However, in physical sciences such as weather, super-resolving small-scale details poses significant challenges due to: (i) misalig
Externí odkaz:
http://arxiv.org/abs/2410.19814
Autor:
Xia, Guoxuan, Danier, Duolikun, Das, Ayan, Fotiadis, Stathi, Nabiei, Farhang, Sengupta, Ushnish, Bernacchia, Alberto
Recently, Zhang et al. have proposed the Diffusion Exponential Integrator Sampler (DEIS) for fast generation of samples from Diffusion Models. It leverages the semi-linear nature of the probability flow ordinary differential equation (ODE) in order t
Externí odkaz:
http://arxiv.org/abs/2311.00157
Autor:
Das, Ayan, Fotiadis, Stathi, Batra, Anil, Nabiei, Farhang, Liao, FengTing, Vakili, Sattar, Shiu, Da-shan, Bernacchia, Alberto
The field of image generation has made significant progress thanks to the introduction of Diffusion Models, which learn to progressively reverse a given image corruption. Recently, a few studies introduced alternative ways of corrupting images in Dif
Externí odkaz:
http://arxiv.org/abs/2306.00501
Autor:
Mukesch Johannes Shah, Katerina Argiti, Julia M. Nakagawa, Angeliki Stathi, Emilia Schönen, Daniel Strahnen, Kevin Joseph, Jakob Straehle, Nicolas Neidert, Jürgen Beck, Ioannis Vasilikos
Publikováno v:
Frontiers in Surgery, Vol 11 (2024)
BackgroundCerebrospinal fluid (CSF) leakage frequently complicates endoscopic endonasal transsphenoidal pituitary resections, despite the use of lumbar drains, nasoseptal flaps, or commercial dura sealants. Managing this complication often requires r
Externí odkaz:
https://doaj.org/article/1324a486797347d1bf0b2a86ad45aa55
Autor:
Nikola Pantić, Aleksandra Barać, Vasilika Mano, Amela Dedeić-Ljubović, Ivan Malkodanski, Ozren Jaksić, Despoina Gkentzi, Mirjana Mitrović, Oxana Munteanu, Dijana Šišević, Zlate Stojanoski, Oana Popescu, Jelena Todorović, Oliver A. Cornely, Jon Salmanton-García, Irina-Magdalena Dumitru, Angeliki Stathi, Charalampos Mandros, Maja Travar, Danica Milobratović, Paraskevi Mantzana, Mihaela Zaharia, Alen Ostojić, Athanasios Chatzimsochou, Marija Tonkić, Suzana Otašević, Danijela Jovanović, Nikola Vukosavljević, Suzana Bukovski, Ivva Philipova, Vlad Jeni Laura, Aleksandar Savić, Mihaela Lupse, Arbune Manuela, Diana Dimova, Sabina Cviljević, Maria Orfanidou, Elisabeth Paramythiotou, Cristina Alexandra Cheran, Konstantina Gartzonika, Miha Skvarc, Lidiya Nikolcheva-Todorova, Tsvetelina Velikova, Maria Panopoulou, Nijaz Tihic, Tamara Bibić, Viktorija Tomic, Serban Elena Daniela, Krasimir Donchev, Floredana Sular, Ruxandra Moroti, Lăzureanu Elena Voichiţa, Toni Valković, Sofija Maraki
Publikováno v:
Journal of Infection and Public Health, Vol 17, Iss 8, Pp 102493- (2024)
Background: In the Balkans, rising concerns about invasive fungal infections over the past decade stem from various factors. Primarily, there has been a notable uptick in immunocompromised individuals, including those with chronic illnesses like immu
Externí odkaz:
https://doaj.org/article/c6323b8498624c318fdb21ade5076cb9
Numerical simulators are essential tools in the study of natural fluid-systems, but their performance often limits application in practice. Recent machine-learning approaches have demonstrated their ability to accelerate spatio-temporal predictions,
Externí odkaz:
http://arxiv.org/abs/2205.02637
Autor:
Fotiadis, Stathi, Lino, Mario, Hu, Shunlong, Garasto, Stef, Cantwell, Chris D, Bharath, Anil Anthony
Deep neural networks have become increasingly of interest in dynamical system prediction, but out-of-distribution generalization and long-term stability still remains challenging. In this work, we treat the domain parameters of dynamical systems as f
Externí odkaz:
http://arxiv.org/abs/2108.11684
Autor:
Theodora Mourtzi, Nasia Antoniou, Christina Dimitriou, Panagiotis Gkaravelas, Georgia Athanasopoulou, Panagiota Nti Kostantzo, Olga Stathi, Efthymia Theodorou, Maria Anesti, Rebecca Matsas, Fevronia Angelatou, Georgia Kouroupi, Ilias Kazanis
Publikováno v:
Neural Regeneration Research, Vol 19, Iss 6, Pp 1318-1324 (2024)
[INLINE:1] We have previously shown the neuroprotective and pro-neurogenic activity of microneurotrophin BNN-20 in the substantia nigra of the “weaver” mouse, a model of progressive nigrostriatal degeneration. Here, we extended our investigation
Externí odkaz:
https://doaj.org/article/aa32d554bcdd43c89dff85501112db93
Autor:
Afroditi Stathi, Janet Withall, Diane Crone, Helen Hawley-Hague, Rebecca Playle, Emma Frew, Sally Fenton, Melvyn Hillsdon, Christopher Pugh, Chris Todd, Kate Jolly, Nick Cavill, Max Western, Sarah Roche, Nigel Kirby, Elisabeth Boulton, Janice Thompson, Katie Chatwin, Amy Davies, Zsofia Szekeres, Colin Greaves
Publikováno v:
Trials, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Background The Active Connected Engaged [ACE] study is a multi-centre, pragmatic, two-arm, parallel-group randomised controlled trial [RCT] with an internal pilot phase. The ACE study incorporates a multi-level mixed methods process evaluati
Externí odkaz:
https://doaj.org/article/dddb8ca68f1d425db1caf30b9e3dec0e
Continuum mechanics simulators, numerically solving one or more partial differential equations, are essential tools in many areas of science and engineering, but their performance often limits application in practice. Recent modern machine learning a
Externí odkaz:
http://arxiv.org/abs/2106.04900