Zobrazeno 1 - 10
of 9 870
pro vyhledávání: '"De la Rosa P"'
Autor:
de la Rosa, Javier, Mikhailov, Vladislav, Zhang, Lemei, Wetjen, Freddy, Samuel, David, Liu, Peng, Braaten, Rolv-Arild, Mæhlum, Petter, Birkenes, Magnus Breder, Kutuzov, Andrey, Enstad, Tita, Brygfjeld, Svein Arne, Gulla, Jon Atle, Oepen, Stephan, Velldal, Erik, Østgulen, Wilfred, Øvrelid, Liljia, Myhre, Aslak Sira
The use of copyrighted materials in training generative language models raises critical legal and ethical questions. This paper presents a framework for and the results of empirically assessing the impact of copyrighted materials on the performance o
Externí odkaz:
http://arxiv.org/abs/2412.09460
The inference cost of Large Language Models (LLMs) is a significant challenge due to their computational demands, specially on tasks requiring long outputs. However, natural language often contains redundancy, which presents an opportunity for optimi
Externí odkaz:
http://arxiv.org/abs/2412.07682
Autor:
Delgrange, Camille, Demler, Olga, Mora, Samia, Menze, Bjoern, de la Rosa, Ezequiel, Davoudi, Neda
Predicting stroke risk is a complex challenge that can be enhanced by integrating diverse clinically available data modalities. This study introduces a self-supervised multimodal framework that combines 3D brain imaging, clinical data, and image-deri
Externí odkaz:
http://arxiv.org/abs/2411.09822
Autor:
Martinez-Cannon BA, Castro-Sanchez A, Barragan-Carrillo R, de la Rosa Pacheco S, Platas A, Fonseca A, Vega Y, Bojorquez-Velazquez K, Bargallo-Rocha JE, Mohar A, Villarreal-Garza C
Publikováno v:
Patient Preference and Adherence, Vol Volume 15, Pp 1039-1049 (2021)
Bertha Alejandra Martinez-Cannon,1,2 Andrea Castro-Sanchez,2 Regina Barragan-Carrillo,2 Sylvia de la Rosa Pacheco,1 Alejandra Platas,2,3 Alan Fonseca,2,3 Yoatzin Vega,2 Karen Bojorquez-Velazquez,3 Juan Enrique Bargallo-Rocha,2,3 Alejandro Mohar,3,4 C
Externí odkaz:
https://doaj.org/article/555ce103d1c041c9b351dd794ca540ca
Autor:
Riedel, Evamaria O., de la Rosa, Ezequiel, Baran, The Anh, Petzsche, Moritz Hernandez, Baazaoui, Hakim, Yang, Kaiyuan, Robben, David, Seia, Joaquin Oscar, Wiest, Roland, Reyes, Mauricio, Su, Ruisheng, Zimmer, Claus, Boeckh-Behrens, Tobias, Berndt, Maria, Menze, Bjoern, Wiestler, Benedikt, Wegener, Susanne, Kirschke, Jan S.
Stroke remains a leading cause of global morbidity and mortality, placing a heavy socioeconomic burden. Over the past decade, advances in endovascular reperfusion therapy and the use of CT and MRI imaging for treatment guidance have significantly imp
Externí odkaz:
http://arxiv.org/abs/2408.11142
Autor:
de la Rosa, Ezequiel, Su, Ruisheng, Reyes, Mauricio, Wiest, Roland, Riedel, Evamaria O., Kofler, Florian, Yang, Kaiyuan, Baazaoui, Hakim, Robben, David, Wegener, Susanne, Kirschke, Jan S., Wiestler, Benedikt, Menze, Bjoern
Accurate estimation of core (irreversibly damaged tissue) and penumbra (salvageable tissue) volumes is essential for ischemic stroke treatment decisions. Perfusion CT, the clinical standard, estimates these volumes but is affected by variations in de
Externí odkaz:
http://arxiv.org/abs/2408.10966
Autor:
Bluman, George W., de la Rosa, Rafael
In this paper, we further consider the symmetry-based method for seeking nonlocally related systems for partial differential equations. In particular, we show that the symmetry-based method for partial differential equations is the natural extension
Externí odkaz:
http://arxiv.org/abs/2407.09063
Travel planning is a complex task that involves generating a sequence of actions related to visiting places subject to constraints and maximizing some user satisfaction criteria. Traditional approaches rely on problem formulation in a given formal la
Externí odkaz:
http://arxiv.org/abs/2406.10196
Autor:
de la Rosa, Ezequiel, Reyes, Mauricio, Liew, Sook-Lei, Hutton, Alexandre, Wiest, Roland, Kaesmacher, Johannes, Hanning, Uta, Hakim, Arsany, Zubal, Richard, Valenzuela, Waldo, Robben, David, Sima, Diana M., Anania, Vincenzo, Brys, Arne, Meakin, James A., Mickan, Anne, Broocks, Gabriel, Heitkamp, Christian, Gao, Shengbo, Liang, Kongming, Zhang, Ziji, Siddiquee, Md Mahfuzur Rahman, Myronenko, Andriy, Ashtari, Pooya, Van Huffel, Sabine, Jeong, Hyun-su, Yoon, Chi-ho, Kim, Chulhong, Huo, Jiayu, Ourselin, Sebastien, Sparks, Rachel, Clèrigues, Albert, Oliver, Arnau, Lladó, Xavier, Chalcroft, Liam, Pappas, Ioannis, Bertels, Jeroen, Heylen, Ewout, Moreau, Juliette, Hatami, Nima, Frindel, Carole, Qayyum, Abdul, Mazher, Moona, Puig, Domenec, Lin, Shao-Chieh, Juan, Chun-Jung, Hu, Tianxi, Boone, Lyndon, Goubran, Maged, Liu, Yi-Jui, Wegener, Susanne, Kofler, Florian, Ezhov, Ivan, Shit, Suprosanna, Petzsche, Moritz R. Hernandez, Menze, Bjoern, Kirschke, Jan S., Wiestler, Benedikt
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable AI algorithms with clinical value. We address this gap by presenting a
Externí odkaz:
http://arxiv.org/abs/2403.19425
Let $\mathbb{D}$ denote the unit disc in $\mathbb{C}$. We define the generalized Ces\`aro operator as follows $$ C_{\omega}(f)(z)=\int_0^1 f(tz)\left(\frac{1}{z}\int_0^z B^{\omega}_t(u)\,du\right)\,\omega(t)dt,$$ where $\{B^{\omega}_\zeta\}_{\zeta\in
Externí odkaz:
http://arxiv.org/abs/2402.17446