Zobrazeno 1 - 10
of 6 269
pro vyhledávání: '"Velichko A"'
Publikováno v:
BIO Web of Conferences, Vol 105, p 02003 (2024)
The paper presents a LogNNet neural network algorithm for diabetes mellitus diagnosing based on a public dataset. The study used 100 thousand records of patient conditions. Model quality was evaluated using the Matthews Correlation Coefficient metric
Externí odkaz:
https://doaj.org/article/31135d36648a48d19d29fb9eada94e9d
Autor:
Ramburuth-Hurt, T., De Cia, A., Krogager, J. -K., Ledoux, C., Jenkins, E., Fox, A. J., Konstantopoulou, C., Velichko, A., Pola, L. Dalla
The interstellar medium (ISM) is a fundamental component of the Milky Way. Studying its chemical composition and the level of its chemical diversity gives us insight into the evolution of the Milky Way and the role of gas in the Galactic environment.
Externí odkaz:
http://arxiv.org/abs/2412.18986
Autor:
Dmytrenko, A. M., Fedorov, P. N., Akhmetov, V. S., Velichko, A. B., Denyshchenko, S. I., Khramtsov, V. P., Vavilova, I. B., Dobrycheva, D. V., Sergijenko, O. M., Vasylenko, A. A., Kompaniiets, O. V.
We present the results of determining the parameters characterizing the shape and orientation of residual velocity ellipsoids from the Gaia DR3 red giants and subgiants. We show the distribution of velocity dispersions in the Galactic plane obtained
Externí odkaz:
http://arxiv.org/abs/2412.18333
Autor:
Karri, Meghana, Arya, Amit Soni, Biswas, Koushik, Gennaro, Nicol`o, Cicek, Vedat, Durak, Gorkem, Velichko, Yuri S., Bagci, Ulas
This work proposes a novel framework, Uncertainty-Guided Cross Attention Ensemble Mean Teacher (UG-CEMT), for achieving state-of-the-art performance in semi-supervised medical image segmentation. UG-CEMT leverages the strengths of co-training and kno
Externí odkaz:
http://arxiv.org/abs/2412.15380
Autor:
Pan, Hongyi, Hong, Ziliang, Durak, Gorkem, Keles, Elif, Aktas, Halil Ertugrul, Taktak, Yavuz, Medetalibeyoglu, Alpay, Zhang, Zheyuan, Velichko, Yury, Spampinato, Concetto, Schoots, Ivo, Bruno, Marco J., Tiwari, Pallavi, Bolan, Candice, Gonda, Tamas, Miller, Frank, Keswani, Rajesh N., Wallace, Michael B., Xu, Ziyue, Bagci, Ulas
Accurate classification of Intraductal Papillary Mucinous Neoplasms (IPMN) is essential for identifying high-risk cases that require timely intervention. In this study, we develop a federated learning framework for multi-center IPMN classification ut
Externí odkaz:
http://arxiv.org/abs/2411.05697
Autor:
Bengtsson, Max, Keles, Elif, Durak, Gorkem, Anwar, Syed, Velichko, Yuri S., Linguraru, Marius G., Waanders, Angela J., Bagci, Ulas
In this paper, we present a novel approach for segmenting pediatric brain tumors using a deep learning architecture, inspired by expert radiologists' segmentation strategies. Our model delineates four distinct tumor labels and is benchmarked on a hel
Externí odkaz:
http://arxiv.org/abs/2411.01390
Autor:
Pan, Hongyi, Durak, Gorkem, Zhang, Zheyuan, Taktak, Yavuz, Keles, Elif, Aktas, Halil Ertugrul, Medetalibeyoglu, Alpay, Velichko, Yury, Spampinato, Concetto, Schoots, Ivo, Bruno, Marco J., Keswani, Rajesh N., Tiwari, Pallavi, Bolan, Candice, Gonda, Tamas, Goggins, Michael G., Wallace, Michael B., Xu, Ziyue, Bagci, Ulas
Federated learning (FL) enables collaborative model training across institutions without sharing sensitive data, making it an attractive solution for medical imaging tasks. However, traditional FL methods, such as Federated Averaging (FedAvg), face d
Externí odkaz:
http://arxiv.org/abs/2410.22530
Autor:
Konstantopoulou, Christina, De Cia, Annalisa, Krogager, Jens-Kristian, Ledoux, Cédric, Roman-Duval, Julia, Jenkins, Edward B., Ramburuth-Hurt, Tanita, Velichko, Anna
We present a novel method to characterize dust depletion, namely, the depletion of metals into dust grains. We used observed correlations among relative abundances combining a total of 17 metals in diverse galactic environments, including the Milky W
Externí odkaz:
http://arxiv.org/abs/2410.06155
Autor:
Jha, Debesh, Susladkar, Onkar Kishor, Gorade, Vandan, Keles, Elif, Antalek, Matthew, Seyithanoglu, Deniz, Cebeci, Timurhan, Aktas, Halil Ertugrul, Kartal, Gulbiz Dagoglu, Kaymakoglu, Sabahattin, Erturk, Sukru Mehmet, Velichko, Yuri, Ladner, Daniela, Borhani, Amir A., Medetalibeyoglu, Alpay, Durak, Gorkem, Bagci, Ulas
Liver cirrhosis, the end stage of chronic liver disease, is characterized by extensive bridging fibrosis and nodular regeneration, leading to an increased risk of liver failure, complications of portal hypertension, malignancy and death. Early diagno
Externí odkaz:
http://arxiv.org/abs/2410.16296
Autor:
Covelo-Paz, Alba, Giovinazzo, Emma, Oesch, Pascal A., Meyer, Romain A., Weibel, Andrea, Brammer, Gabriel, Fudamoto, Yoshinobu, Kerutt, Josephine, Lin, Jamie, Matharu, Jasleen, Naidu, Rohan P., Velichko, Anna, Bollo, Victoria, Bouwens, Rychard, Chisholm, John, Illingworth, Garth D., Kramarenko, Ivan, Magee, Daniel, Maseda, Michael, Matthee, Jorryt, Nelson, Erica, Reddy, Naveen, Schaerer, Daniel, Stefanon, Mauro, Xiao, Mengyuan
The H{\alpha} nebular emission line is an optimal tracer for recent star formation in galaxies. With the advent of JWST, this line has recently become observable at z>3 for the first time. We present a catalog of 1013 H{\alpha} emitters at 3.7
Externí odkaz:
http://arxiv.org/abs/2409.17241