Zobrazeno 1 - 10
of 5 109
pro vyhledávání: '"A. Öktem"'
Reconstructing images using Computed Tomography (CT) in an industrial context leads to specific challenges that differ from those encountered in other areas, such as clinical CT. Indeed, non-destructive testing with industrial CT will often involve s
Externí odkaz:
http://arxiv.org/abs/2411.19593
We propose Pullback Flow Matching (PFM), a novel framework for generative modeling on data manifolds. Unlike existing methods that assume or learn restrictive closed-form manifold mappings for training Riemannian Flow Matching (RFM) models, PFM lever
Externí odkaz:
http://arxiv.org/abs/2410.04543
We address recovery of the three-dimensional backbone structure of single polypeptide proteins from single-particle cryo-electron microscopy (Cryo-SPA) data. Cryo-SPA produces noisy tomographic projections of electrostatic potentials of macromolecule
Externí odkaz:
http://arxiv.org/abs/2410.00833
In the wood industry, logs are commonly quality screened by discrete X-ray scans on a moving conveyor belt from a few source positions. Typically, two-dimensional (2D) slice-wise measurements are obtained by a sequential scanning geometry. Each 2D sl
Externí odkaz:
http://arxiv.org/abs/2403.02820
A major challenge in computed tomography is reconstructing objects from incomplete data. An increasingly popular solution for these problems is to incorporate deep learning models into reconstruction algorithms. This study introduces a novel approach
Externí odkaz:
http://arxiv.org/abs/2402.12141
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In response to the growing demand for high-value bioactive compounds, microalgae cultivation has gained a significant acceleration in recent years. Among these compounds, antioxidants have emerged as essential constituents in the food, pharm
Externí odkaz:
https://doaj.org/article/920da6ec2d50405485c9af8a2059aada
Autor:
Diepeveen, Willem, Esteve-Yagüe, Carlos, Lellmann, Jan, Öktem, Ozan, Schönlieb, Carola-Bibiane
An increasingly common viewpoint is that protein dynamics data sets reside in a non-linear subspace of low conformational energy. Ideal data analysis tools for such data sets should therefore account for such non-linear geometry. The Riemannian geome
Externí odkaz:
http://arxiv.org/abs/2308.07818
The convergence of the conjugate gradient method for solving large-scale and sparse linear equation systems depends on the spectral properties of the system matrix, which can be improved by preconditioning. In this paper, we develop a computationally
Externí odkaz:
http://arxiv.org/abs/2305.16368
Autor:
Irene Vázquez-Domínguez, Mert Öktem, Florian A. Winkelaar, Thai Hoang Nguyen, Anita D.M. Hoogendoorn, Eleonora Roschi, Galuh D.N. Astuti, Raoul Timmermans, Nuria Suárez-Herrera, Ilaria Bruno, Albert Ruiz-Llombart, Joseph Brealey, Olivier G. de Jong, Rob W.J. Collin, Enrico Mastrobattista, Alejandro Garanto
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 35, Iss 4, Pp 102345- (2024)
Deep-intronic (DI) variants represent approximately 10%–12% of disease-causing genetic defects in ABCA4-associated Stargardt disease (STGD1). Although many of these DI variants are amenable to antisense oligonucleotide-based splicing-modulation the
Externí odkaz:
https://doaj.org/article/9cd8756ec318431f8076236a1e749258
Autor:
Saba Khoshbakht, Özgür Albayrak, Ergün Tiryaki, Orhan Ağcaoğlu, Ayşe Öktem, Gizem Pınar Sun, Elif Er Gülbezer, Sümeyre Seda Ertekin, Ayşe Boyvat, Atay Vural, Seçil Vural
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionSingle-cell RNA sequencing (scRNAseq) and flow cytometry studies in skin are methodologically complex and costly, limiting their accessibility to researchers worldwide. Ideally, RNA and protein-based analyses should be performed on the sa
Externí odkaz:
https://doaj.org/article/61b46000b9ec4f26b95ecb7710a846d9