VU Medicinos fakulteto autoriaus 'Karolis Šablauskas' publikacijų sąrašas

2024
1 Kevličius, Lukas; Šablauskas, Karolis; Maneikis, Kazimieras; Juozapaitė, Dovilė; Ringelevičiūtė, Ugnė; Vaitekėnaitė, Vilmantė; Davainienė, Birutė; Daukėlaitė, Guoda; Vasilevska, Dominika; Stoškus, Mindaugas; Narkevičiūtė, Ieva; Sivickienė, Violeta; Rudaitis, Kęstutis; Minkauskas, Mantas; Naumovas, Daniel; Beinortas, Tumas; Griškevičius, Laimonas. Immunogenicity and clinical effectiveness of mRNA vaccine booster against SARS‐CoV ‐2 Omicron in patients with haematological malignancies: A national prospective cohort study // British journal of haematology. Hoboken : Wiley. ISSN 0007-1048. eISSN 1365-2141. 2024, vol. 204, iss. 2, p. 497-506. DOI: 10.1111/bjh.19126. [DB: Science Citation Index Expanded (Web of Science)]

2022
1 Kevličius, Lukas; Juozapaitė, Dovilė; Kryžauskaitė, Lina; Montrimaitė, Miglė; Šablauskas, Karolis; Naumovas, Daniel; Griškevičius, Laimonas. Neutralization profile of SARS‐CoV ‐2 omicron BA .1 variant in high binding titer plasma // Transfusion. Hoboken : Wiley. ISSN 0041-1132. eISSN 1537-2995. 2022, vol. 62, no. 10, p. 2150-2152. DOI: 10.1111/trf.17079. [DB: Science Citation Index Expanded (Web of Science), Scopus] [IF: 2.900; AIF: 6.000; Q3 (2022 InCities JCR SCIE)]
2 Khazeeva, Gelana; Šablauskas, Karolis; van der Sanden, Bart; Steyaert, Wouter; Kwint, Michael; Rots, Dmitrijs; Hinne, Max; van Gerven, Marcel; Yntema, Helger; Vissers, Lisenka; Gilissen, Christian. DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data // Nucleic acids research. Oxford : Oxford University Press. ISSN 0305-1048. eISSN 1362-4962. 2022, vol. 50, iss. 17, art. no. e97, p. [1-10]. DOI: 10.1093/nar/gkac511. [DB: Science Citation Index Expanded (Web of Science), Scopus] [IF: 14.900; AIF: 5.900; Q1 (2022 InCities JCR SCIE)]

2021
1 Griškevičiūtė, Eglė; Šablauskas, Karolis; Preikšaitienė, Eglė. Paveldimas polinkis sirgti mielodisplaziniu sindromu ir ūminėmis mieloidinėmis leukemijomis = Hereditary predisposition to myelodysplastic syndrome and acute myeloid leukemia // Laboratorinė medicina. Vilnius : Lietuvos laboratorinės medicinos draugija. ISSN 1392-6470. 2021, t. 23, Nr. 3(89), p. 177-184. [DB: Index Copernicus]
2 Maneikis, Kazimieras; Šablauskas, Karolis; Ringelevičiūtė, Ugnė; Vaitekėnaitė, Vilmantė; Čekauskienė, Rita; Kryžauskaitė, Lina; Naumovas, Daniel; Banys, Valdas; Pečeliūnas, Valdas; Beinortas, Tumas; Griškevičius, Laimonas. Immunogenicity of the BNT162b2 COVID-19 mRNA vaccine and early clinical outcomes in patients with haematological malignancies in Lithuania: a national prospective cohort study // The Lancet: Haematology. Oxford : Elsevier BV. ISSN 2352-3026. 2021, vol. 8, iss. 8, p. e583-e592. DOI: 10.1016/S2352-3026(21)00169-1. [DB: Science Citation Index Expanded (Web of Science), Scopus, PubMed, Embase] [IF: 30.153; AIF: 6.928; Q1 (2021 InCities JCR SCIE)]

2020
1 Karuzas, A.; Sablauskas, K.; Verikas, D.; Teleisyte, E.; Skrodenis, L.; Matuliauskas, D.; Balciunas, J.; Mileris, J.; Rumbinaite, E.; Zaliaduonyte Peksiene, D.; Vaskelyte, J.J.; Jurkevicius, R.; Plisiene, J. Deep learning in segmentation and function evaluation of right ventricle in 2D echocardiography // European Heart Journal-Cardiovascular Imaging: EuroEcho 2019 Abstract Supplement : 04-07 December 2019, Vienna, Austria / European Association of Cardiovascular Imaging. European Society of Cardiology. Oxford : Oxford University Press. ISSN 2047-2404. eISSN 2047-2412. 2020, 2020/21:suppl.1:jez319.278/i296, p. i296-i296, no. 544. DOI: 10.1093/ehjci/jez319.278. [DB: ISI Master Journal List] [IF: 6.875; AIF: 4.689; Q1 (2020 InCities JCR SCIE)]
2 Karužas, Arnas; Šablauskas, Karolis; Verikas, Dovydas; Skrodenis, Laurynas; Teleišytė, Eligija; Matuliauskas, Dovydas; Balčiūnas, Justas; Kiziela, Antanas; Rumbinaitė, Eglė; Lapinskas, Tomas; Ereminienė, Eglė; Mizarienė, Vaida; Vaškelytė, Jolanta Justina; Jurkevičius, Renaldas; Plisienė, Jurgita. Accurate prediction of left ventricular diastolic dysfunction in 2D echocardiography using ensemble of deep convolutional neural networks // European heart journal: vol. 41, suppl. 2: ESC Congress 2020 – The Digital Experience : 29 August-1 September 2020, Amsterdam : Abstract Supplement. Oxford : Oxford University Press. ISSN 0195-668X. eISSN 1522-9645. 2020, vol. 41, suppl. 2, p. 3436. DOI: 10.1093/ehjci/ehaa946.3436. [DB: Science Citation Index Expanded (Web of Science)] [IF: 29.983; AIF: 5.414; Q1 (2020 InCities JCR SCIE)]

2019
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)]

2018
1 Petkevičienė, Milda; Šablauskas, Karolis; Marcinkutė, Rūta; Smirnova, Marija; Songailienė, Jurgita; Utkus, Algirdas. The beginning of the neonatal screening for congenital adrenal hyperplasia in Lithuania: cut-off limits based on 27175 infants // European human genetics conference 2018 in conjunction with the European meeting on psychosocial aspects of genetics, Milan, Italy, June 16 - 19. Milan : ESHG. 2018, p. [1]. Prieiga per internetą: <http://www.abstractsonline.com/pp8/#!/4652/presentation/1598> [žiūrėta 2018-07-25].
2 Šablauskas, Karolis; Tumienė, Birutė; Utkus, Algirdas. Machine learning approach for detecting epilepsy causing proteins using protein interaction data // European human genetics conference 2018 in conjunction with the European meeting on psychosocial aspects of genetics, Milan, Italy, June 16 - 19. Milan : ESHG. 2018, abstract no. P16.25A / A, p. [1]. Prieiga per internetą: <http://www.abstractsonline.com/pp8/#!/4652/presentation/5922> [žiūrėta 2018-07-26].

2016
1 Šablauskas, Karolis; Songailienė, Jurgita; Preikšaitienė, Eglė; Petroška, Donatas; Utkus, Algirdas. Mitochondrinės DNR delecijos sindromas: klinikinis atvejis ir literatūros apžvalga = Mitochondrial DNA deletion sydrome: clinical report and review of the literature // Neurologijos seminarai. Vilnius : Rotas. ISSN 1392-3064. 2016, T. 20, Nr. 1, p. 48-52. [DB: Index Copernicus]