1 |
Karužas, Arnas; Šablauskas, Karolis; Skrodenis, Laurynas; Verikas, Dovydas; Rumbinaitė, Eglė; Žaliaduonytė-Pekšienė, Diana; Vaškelytė, Jolanta; Jurkevičius, Renaldas; Plisienė, Jurgita. Artificial intelligence in recognition and segmentation of left ventricle in 2D echocardiography // Health for all: Science and innovation week 2019 : International doctoral and resident students conference: Science for health : abstract book : Kaunas, Lithuania, 8-12 April, 2019 / Edited by Elvinas Monstavičius, Alvita Vilkevičiūtė. Kaunas : Council of LSMU Doctoral Students. ISSN 2669-0314. 2019, p. 38-39. |
2 |
Karuzas, A; Sablauskas, K; Skrodenis, L; Verikas, D; Rumbinaite, E; Zaliaduonyte-Peksiene, D; Ziuteliene, K; Vaškelytė, JJ; Jurkevicius, R; Plisiene, J. Artificial intelligence in echocardiography - Steps to automatic cardiac measurements in routine practice // European heart journal: ESC Congress 2019 365 : Paris, France, 31 August-4 September 2019 / European Society of Cardiology. Oxford : Oxford University Press. ISSN 0195-668X. eISSN 1522-9645. 2019, vol. 40, suppl. 1, October, p. 773, no. P1465. DOI: 10.1093/eurheartj/ehz748.0230. [DB: Science Citation Index Expanded (Web of Science), MEDLINE] [IF: 22.673; AIF: 4.361; Q1 (2019 InCities JCR SCIE)] |
3 |
Petkevičienė, Milda; Šablauskas, Karolis; Marcinkutė, Rūta; Smirnova, M.; Songailienė, Jurgita; Utkus, Algirdas. The beginning of the neonatal screening for congenital adrenal hyperplasia in Lithuania: cut-off limits based on 27175 infants // European journal of human genetics: 51st Conference of the European-Society-of-Human-Genetics (ESHG) in conjunction with the European Meeting on Psychosocial Aspects of Genetics (EMPAG), Milan, Italy, June 16-19, 2018. London : Nature Publishing Group. ISSN 1018-4813. eISSN 1476-5438. 2019, vol. 27, suppl. 1, art. no. P06.07C, p. 170. Prieiga per internetą: <https://www.nature.com/articles/s41431-019-0404-7> [žiūrėta 2021-03-09]. [DB: Science Citation Index Expanded (Web of Science)] [IF: 3.657; AIF: 4.393; Q2 (2019 InCities JCR SCIE)] |
4 |
Šablauskas, Karolis; Tumienė, Birutė; Utkus, Algirdas. Machine learning approach for detecting epilepsy causing proteins using protein interaction data // European journal of human genetics: Conference: 51st Conference of the European-Society-of-Human-Genetics (ESHG) in conjunction with the European Meeting on Psychosocial Aspects of Genetics (EMPAG), Milan, Italy, June 16-19, 2018. London : Nature Publishing Group. ISSN 1018-4813. eISSN 1476-5438. 2019, vol. 27, suppl. 1, art. no. P16.25A, p. 578. Prieiga per internetą: <https://www.nature.com/articles/s41431-019-0404-7.pdf> [žiūrėta 2021-04-22]. [DB: Science Citation Index Expanded (Web of Science)] [IF: 3.657; AIF: 4.393; Q2 (2019 InCities JCR SCIE)] |