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ïðîñèì ïðèíÿòü ó÷àñòèå â îïðîñåçàïîëíèòü àíêåòó

Ïóáëèêàöèè ëàáîðàòîðèè àíàëèçà áèîìåäèöèíñêèõ èçîáðàæåíèé

Ìîíîãðàôèè è ãëàâû êíèã

Kovalev V.A. and Petrou M. Texture analysis in 3D for tissue characterization, book chapter in Handbook of Medical Image Processing and Analysis, 2nd Edition, I.H.Bankman (Ed.), Academic Press, ISBN 978-0-12-373904-9, San Diego, CA, USA, 2009, pp. 279–292.

 Petrou M., Kovalev V.A. and Reichenbach J.R. High order statistics for tissue segmentation, book chapter in Handbook of Medical Image Processing and Analysis, 2nd Edition, I.H.Bankman (Ed.), Academic Press, ISBN 978-0-12-373904-9, San Diego, CA, USA, 2009, pp. 245–257.

Êîâàëåâ Â.À. Àíàëèç òåêñòóðû òðåõìåðíûõ ìåäèöèíñêèõ èçîáðàæåíèé. Ìèíñê: Áåëîðóññêàÿ íàóêà, 2008, ISBN 978-985-08-0905-6. − 264 ñ.

Àíèùåíêî Â.Â., Âàíüêåâè÷ Ï.Å., Êîâàëåâ Â.À., Êóöàí Í.Â., Ëàïèöêèé Â.À., Ëèíåâ Â.Í. Ïðèìåíåíèå öèôðîâûõ ñêàíèðóþùèõ àïïàðàòîâ è ïåðåäîâûõ òåëåìåäèöèíñêèõ òåõíîëîãèé â äèàãíîñòèêå çàáîëåâàíèé ëåãêèõ. – Ìèíñê, ÎÈÏÈ ÍÀÍ Áåëàðóñè, 2010. – 136 Ñ.

Kovalev V.A. and Petrou M. Texture analysis in 3D for tissue characterization, book chapter in Handbook of Medical Image Processing and Analysis, 2nd Edition, I.H.Bankman (Ed.), Academic Press, ISBN 978-0-12-373904-9, San Diego, CA, USA, 2009, pp. 279–292.

Æóðíàëüíûå ñòàòüè

Alilou M., Kovalev V., Taimouri V., Segmentation of Cell Nuclei in Heterogeneous Microscopy Images: A Reshapable Templates Approach, Computerized Medical Imaging and Graphics, pp. 488- 499, 2013 (impact factor 1.66).  (http://www.sciencedirect.com/science/article/pii/S089561111300133X)

Alilou M., Kovalev V. Automatic object detection and segmentation of the histocytology images using reshapable agents, Image Analysis & Stereology, vol. 32, No 3, pp. 89-99, 2013 (impact factor 0.64).

Øóêåëîâè÷ À.Â., Ñíåæêî Ý.Â., Êîâàëåâ Â.À., Òóçèêîâ À.Â. Ñåãìåíòàöèÿ èçîáðàæåíèé ìàãíèòíî-ðåçîíàíñíîé òîìîãðàôèè ìûøö ìåòîäîì ñëó÷àéíîãî áëóæäàíèÿ. Èíôîðìàòèêà, ¹ 4, 2013, Ñ. 5-12.

Êîâàëåâ Â.À., Ëåâ÷óê Â.À., Ñàôîíîâ È.Â. Ïîèñê âçàèìîñâÿçåé ìåæäó ëåêàðñòâåííîé óñòîé÷èâîñòüþ è ìîðôîëîãèåé èçîáðàæåíèé ïðè òóáåðêóëåçå, Èíôîðìàòèêà, 4(40), 2013, Ñ.13-22.

Ì.Àëëèëó Ì., Ñïðèíäæóê Ì.Â. Êîìïüþòåðèçèðîâàííàÿ ñèñòåìà äëÿ ñåãìåíòàöèè îáúåêòîâ íà áèîìåäèöèíñêèõ èçîáðàæåíèÿõ ñ èñïîëüçîâàíèåì áèáëèîòåêè øàáëîíîâ ïðîèçâîëüíîé ôîðìû. Èíôîðìàòèêà, ¹ 4, 2013, Ñ. 23–29.

Êîâàëåâ, Â.À. Ëåâ÷óê Â.À.  Ïîèñê ñòðóêòóðíûõ îñîáåííîñòåé ñòðîåíèÿ òîìîãðàôè÷åñêèõ èçîáðàæåíèé íà îñíîâå êîíöåïöèè àêòèâíûõ àãåíòîâ, Èíôîðìàòèêà. – 2012. – ¹ 4. – Ñ. 89-99.

 Êîâàëåâ, Â.À. Äìèòðóê À.À., Ñàôîíîâ È.Â. Ìåòîä ïîèñêà ñâÿçåé ìåæäó ìîðôîëîãè÷åñêèìè ñòðóêòóðàìè ãèñòîëîãè÷åñêèõ èçîáðàæåíèé è ïîêàçàòåëÿìè ñîñòîÿíèÿ îíêîëîãè÷åñêèõ áîëüíûõ, Èíôîðìàòèêà. – 2012. – ¹ 2(33). – Ñ. 5-11.

 Êîâàëåâ, Â.À., Ëåâ÷óê  Â.À. Êàðòèðîâàíèå õàðàêòåðèñòèê ñâåðõáîëüøèõ ãèñòîëîãè÷åñêèõ èçîáðàæåíèé ðàêîâîé òêàíè, Èíôîðìàòèêà. – 2012. – ¹ 1(33). – Ñ. 12-17.

Õîðóæèê, Ñ.À. Áîãóøåâè÷ Å.Â., Ñïðèíäæóê Ì.Â., Ñíåæêî Ý.Â., Êîâàëåâ Â.À., Òóçèêîâ À.Â. Êîìïüþòåð-àññèñòèðîâàííàÿ äèàãíîñòèêà óçëîâûõ îáðàçîâàíèé â ëåãêèõ, Âîïðîñû îíêîëîãèè . –  2011. – ¹ 1. – C. 25-35.

Êîâàëåâ Â.À. Äìèòðóê À.À. Âëèÿíèå ìåð áëèçîñòè â ïðîñòðàíñòâå ïðèçíàêîâ íà êà÷åñòâî ïîèñêà ìåäèöèíñêèõ èçîáðàæåíèé ïî ñîäåðæàíèþ, Èíôîðìàòèêà. – 2011. – ¹30. – Ñ. 5-11.

Sprindzuk M.V., Kovalev V.A., Snezko E.V., Kharuzhik S.A.. Computer-aided differential diagnosis of the pulmonary nodule: Towards an understanding of the medical imaging basics and the experience in the field, Polish Journal of Radiology, vol. 75(1), pp. 67-80, 2010.

Snezhko E.V., Kovalev V.A., Prus A., Dmitruk A., Kharuzhik S. Distributed computing in a national-wide lung screening and diagnosis system: the first steps, Materials Physics and Mechanics, 2010, vol. 9, pp. 175-184.

Olsen Ø., Thuen M., Berry M., Kovalev V., Petrou M., Goa P.A., Sandvig A., Haraldseth O., Brekken C. Axon tracing in the adult rat optic nerve and tract after intravitreal injection of MnDPDP using a semi-automatic segmentation technique, Journal of Magnetic Resonance Imaging, vol. 27(1), pp. 34-42, 2008.

Kovalev V. and Kruggel F. Texture Anisotropy of the Brain's White Matter as Revealed by Anatomical MRI. IEEETransactions Medical Imaging, vol. 26, No 5, pp. 678-685, 2007.

Dmitruk A. Reconstruction and analysis of the hip joint stress using finite-element modeling / A. Dmitruk, E. Snezhko // Pattern Recognition and Image Analysis. - Vol. 19. - 2009. - P. 89-91

Kovalev V. Image retrieval for cancer diagnosis / V. Kovalev, A. Dmitruk, I. Safonov // International Journal of Computer Assisted Radiology and Surgery. — Vol. 5. — 2010. — P. 161-162.

Snezhko E.V., Kovalev V.A. , Prus A., Dmitruk A., Kharuzhik S. Distributed Computing in a National-Wide Lung Screening and Diagnosis System: the First Steps // Materials Physics and Mechanics. - Vol. 9. - 2010. - P. 175-184.

Êóðî÷êà Ê.Ñ., Êîâàëåâ Â.À. Îðãàíèçàöèÿ ðàñïðåäåëåííûõ âû÷èñëåíèé ïðè îáðàáîòêå öèôðîâûõ áèîìåäèöèíñêèõ èçîáðàæåíèé // Èíôîðìàòèêà. – 2009. – ¹ 4 (21), äåêàáðü. – Ñ. 66-73.

Êîâàëåâ Â.À., Ñàôîíîâ È.Â. Ýêñïåðèìåíòàëüíîå èññëåäîâàíèå êà÷åñòâà ðàñïîçíàâàíèÿ èçîáðàæåíèé ñöåí â çàäà÷àõ ìàøèííîãî çðåíèÿ // Èíôîðìàòèêà. – 2009. – ¹ 3 (21), èþëü-ñåíòÿáðü. – Ñ. 36-45.

Êîâàëåâ Â.À., Äìèòðóê À.À. Ïîèñê ìåäèöèíñêèõ èçîáðàæåíèé ïî ñîäåðæàíèþ â óñëîâèÿõ øóìîâ // Èíôîðìàòèêà. – 2009. – ¹ 2(21), àïðåëü-èþíü. – Ñ. 39-46.

Ïðóñ À.Â., Êîâàëåâ Â.À., Âàíüêåâè÷ Ï.Å. Ñåãìåíòàöèÿ ðåíòãåíîâñêèõ èçîáðàæåíèé ëåãêèõ // Èíôîðìàòèêà. – 2009. – ¹ 1 (21), ÿíâàðü-ìàðò. – Ñ. 81-90.

Æàðèêîâ Î.Ã., Êîâàëåâ Â.À., Ëèòâèí À.À. Ñîâðåìåííûå âîçìîæíîñòè èñïîëüçîâàíèÿ íåêîòîðûõ ýêñïåðòíûõ ñèñòåì â ìåäèöèíå // Âðà÷ è èíôîðìàöèîííûå òåõíîëîãèè. – 2008. – ¹ 5. – Ñ. 24-30. (Ìîñêâà, Ðîññèÿ)

Êîâàëåâ Â.À. Ìåòîä âû÷èñëåíèÿ îáîáùåííîãî ãðàäèåíòà äëÿ òåêñòóðíûõ èçîáðàæåíèé // Èíôîðìàòèêà. – 2008. – ¹ 3. – Ñ. 56-69.

Êîâàëåâ Â.À. Ìåòîäû ïîèñêà áèîìåäèöèíñêèõ èçîáðàæåíèé â áàçàõ äàííûõ ïî èõ ñîäåðæàíèþ // Òàâðè÷åñêèé âåñòíèê èíôîðìàòèêè è ìàòåìàòèêè, ISSN 1729-3901, ¹ 1, 2008, ñ. 230-244.

Æàðèêîâ Î.Ã., Ëèòâèí À.À., Êîâàëåâ Â.À. Ýêñïåðòíûå ñèñòåìû â ìåäèöèíå // Ìåäèöèíñêèå íîâîñòè. – 2008. – ¹ 10. – Ñ. 15-18.

Êîâàëåâ Â., Êðóããåëü Ô. Èññëåäîâàíèå ñòàðåíèÿ ìîçãà ÷åëîâåêà // Íàóêà è èííîâàöèè, ¹ 7 (65), 2008, Ñ. 15-20.

Áîãóø À.Ë., Êîâàëåâ Â.À. Òåêñòóðíûé àíàëèç óëüòðàçâóêîâûõ èçîáðàæåíèé ùèòîâèäíîé æåëåçû // Òàâðè÷åñêèé âåñòíèê èíôîðìàòèêè è ìàòåìàòèêè, ISSN 1729-3901, ¹ 1, 2008, ñ. 89-96.

Ëèòâèí À.À., Æàðèêîâ Î.Ã., Êîâàëåâ Â.À., Ïðóñ À.Â. Ðåçóëüòàòû ïðèìåíåíèÿ íåéðîñåòåâîé ñèñòåìû ðàííåãî ïðîãíîçèðîâàíèÿ è äèàãíîñòèêè èíôèöèðîâàííîãî ïàíêðåîíåêðîçà. Àëüìàíàõ Èíñòèòóòà õèðóðãèè èìåíè À.Â.Âèøíåâñêîãî, ò. 4, ¹ 1, 2009, ñ. 109-110.

Êóðî÷êà, Ê.Ñ., Ñàôîíîâ È.Â. Èíäåêñàöèÿ è ïîèñê ìåäèöèíñêèõ èçîáðàæåíèé â ðàñïðåäåë¸ííîé âû÷èñëèòåëüíîé ñðåäå, Ìåæäóíàðîäíûé íàó÷íî-òåõíè÷åñêè æóðíàë «Ïðîáëåìû óïðàâëåíèÿ è èíôîðìàòèêè». — 2010.— ¹3.— Ñ. 138-147

M.V. Sprindzuk, V.A. Kovalev, E.V. Snezko, S.A. Kharuzhik. Computer-aided differential diagnosis of the pulmonary nodule: Towards an understanding of the medical imaging basics and the experience in the field. Polish Journal of Radiology, vol. 75(1), 2010, pp. 67-80.

Information technology and Computer Aided diagnosis in Pulmonary medicine / Sprindzuk, M.V. [et al.] // Journal of Information, Control and Management Systems. - Vol. 8, ¹ 2. - 2010. - P. 177-189.

Ñïðèíäæóê Ì.Â., Äåìèä÷èê Þ.Å., Êîâàëåâ Â. À. Äìèòðóê, À.À. Áîãóø, Ëÿõîâñêèé Â.Â., Øåëêîâè÷ Ñ. Å. Àíãèîãåíåç çëîêà÷åñòâåííûõ îïóõîëåé ùèòîâèäíîé æåëåçû è ÿè÷íèêîâ. Âîçìîæíîñòè öèôðîâîé îáðàáîòêè ìèêðîñêîïè÷åñêèõ èçîáðàæåíèé. Ars Medica, ¹ 1(21), 2010, Ñ. 9-24.

Ñïðèíäæóê Ì. Â., Ñíåæêî Ý. Â., Êîâàëåâ Â.À., Õîðóæèê Ñ.À. Ìåòîäû è ïðîãðàììíîå îáåñïå÷åíèå äëÿ äèôôåðåíöèàëüíîé äèàãíîñòèêè óçëîâûõ îáðàçîâàíèé â ëåãêîì. Ìåäèöèíñêàÿ ôèçèêà, ¹ 1(45), 2010, Ñ. 85-101.

Ñïðèíäæóê Ì. Â., Êîâàëåâ Â.À., Êîí÷èö À.Ï., Äåìèä÷èê Þ.Å., Ôðèäìàí Ì. Â.,Áîãóø À. Ë., Ëÿõîâñêèé Â.Â. Àíãèîãåíåç: ïðîãðàììíîå îáåñïå÷åíèå äëÿ èññëåäîâàíèÿ ôåíîìåíà è âîïðîñû êîëè÷åñòâåííîé îöåíêè ãèñòîëîãè÷åñêèõ èçîáðàæåíèé. Âðà÷ è èíôîðìàöèîííûå òåõíîëîãèè, ¹ 3, 2010, Ñ. 38-46.

Cïðèíäæóê Ì.Â., Êîâàëåâ Â.À., Äìèòðóê A.A., Áîãóø À.Ë., Ëÿõîâñêèé Â.B., Äåìèä÷èê Þ.Å., Ôðèäìàí Ì.Â. Ðàê ÿè÷íèêîâ: àíãèîãåíåç êàê ìåõàíèçì çëîêà÷åñòâåííîãî ðîñòà è âîçìîæíîñòè àíàëèçà èçîáðàæåíèé ãèñòîïàòîëîãè÷åñêîãî ïðåïàðàòà. Ïîâàëæñêèé îíêîëîãè÷åñêèé âåñòíèê, ¹ 3, 2010, ñ. 73-83.

Matvey Sprindzuk, Alexander Dmitruk, Vassili Kovalev, Armen Bogush, Alexander Tuzikov, Victor Liakhovski, Mikhail Fridman. Computer-aided Image Processing of Angiogenic Histological Samples in Ovarian Cancer. Journal of Clinical Medicine Research, Vol. 1, No. 5, Dec 2009

M. V. Sprindzuk, Kovalev V. A., Snezhko E. V., Kharuzhyk S. A. Computer-Aided Differential Diagnosis of the Pulmonary Nodule: Towards an Understanding of the Medical Imaging Basics and Experiences in the Field. J Lung Cancer 2009;8(2):78-91

Ñòàòüè â òðóäàõ êîíôåðåíöèé

Kovalev V., Liauchuk V., Safonau I. Examining the feasibility of predicting drug resistance of lung tuberculosis using image data, Int. Conference on Computer Data Analysis & Modeling: Theoretical & Applied Stochastics (CDAM-2013), vol. 2, pp. 122-125.

Kovalev V., Alilou M. A stochastic reshapable contour model for microscopic image segmentation, Int. Conference on Computer Data Analysis & Modeling: Theoretical & Applied Stochastics (CDAM-2013), vol. 2, pp. 118-121.

Kovalev V., Liauchuk V., Safonau I., Astrauko A., Skrahina A., Tarasau A. Is there any correlation between the drug resistance and structural features of radiological images of lung tuberculosis patients? International Journal of Computer Assisted Radiology and Surgery, Springer, vol. 8, supp. 1, June 2013, pp. S18–S20.

Liauchuk V,  Kovalev V,  Safonau I,  Stsepankou D,  Hesser J. CT  image reconstruction with  the co-occurrence matrix similarity as  regularization term. International Journal of Computer Assisted Radiology and Surgery, Springer, vol. 8, supp. 1, June 2013, pp. S307-S308.

Kovalev V., Snezhko E., Kharuzhyk S. A method for highlighting tumor borders in lung CT images, International Journal of Computer Assisted Radiology and Surgery, Springer, vol. 7, supp. 1, June 2012, pp. S84 – S85.

Alilou M., Kovalev V. A method for object detection and segmentation in medical images. International Journal of Computer Assisted Radiology and Surgery, Springer, vol. 7, supp. 1, June 2012, pp. S266 – S267.

Litvin A., Kovalev V. Anisotropy CT imaging in the diagnosis of infected pancreatic necrosis, International Journal of Computer Assisted Radiology and Surgery, Springer, vol. 7, supp. 1, June 2012, pp. S266 – S267.

Alilou M., Kovalev V. A framework for object detection and segmentation in medical images using arbitrary shapes, In: Proc. Int. Conf. on Modeling and Simulation (MS-2012), 2-4 May 2012, Minsk, Belarus, Publishing Center of BSU, 2012, ISBN 978-985-553-010-8, pp. 40-42.

Kovalev V., Dmitruk A., Safonau I., Frydman M., and Shelkovich S. A method for identification and visualization of histological image structures relevant to the cancer patient conditions, In: 14th International Conference on Computer Analysis of Images and Patterns (CAIP-2011), Seville, Spain, A.Berciano et al. (Eds), Springer, LNCS, vol. 6854, part 1, 2011, pp. 460-468.

Kovalev V. and Dmitruk A. Influence of similarity measures on the results of medical image retrieval, International journal of computer assisted radiology and surgery, Springer, 2011, vol. 6, supp. 1, June 2011, pp. S302 – S303.

Kovalev V., Safonau I., and Prus A. Histological Image Mining for Exploring Textural Differences in Cancerous Tissue. In: Proceedings of Swedish Symposium on Image Analysis (SSBA-2010), 11-12 March 2010, Uppsala, Sweden, pp. 113-116, 2010.

Dmitruk A., Kovalev V., Safonau I., and Prus A. Content-Based Image Retrieval of Histological Images. In: Proceedings of Swedish Symposium on Image Analysis (SSBA-2010), 11-12 March 2010, Uppsala, Sweden, pp. 91-92, 2010.

Safonau I., Kurachka K., and Kovalev V. Medical image indexing and retrieval in a distributed computing environment. In: Contributions Book of 5th User Forum on Enabling Grids for E-Science (EGEE-2010), 12-16 April 2010, Uppsala, Sweden, pp. 48-49, 2010.

Kovalev V., Dmitruk A., and Safonau I. Image retrieval for cancer diagnosis, International Journal of Computer Assisted Radiology and Surgery, 24th International Congress CARS-2010, Geneva, Switzerland, June 23-26, 2010, pp. s161-s162.

Kovalev V., Prus A., Vankevich P. Mining lung shape from X-ray images. In: Int. Conf. on Machine Learning and Data Mining (MLDM-2009), Leipzig, Germany, P.Perner (Ed.), LNAI, vol. 5632, Springer Verlag, 2009, pp. 554-568.

Kovalev V., Safonov I. A comparison of suitable object recognition methods for Mobile Voiced Visual Assistant. In: Proceedings of the 19th International Conference on Computer Graphics and Vision (GraphiCon-2009), Moscow, October 5-9, Moscow State University, 2009, pp. 129-132.

Kovalev V.A. Towards generalization of image anisotropy analysis. In: Proceedings of the 10th International Conference on Pattern Recognition and Information Processing, Minsk, Belarus, 19-21 May, BSU, 2009, pp. 146-151.

Kovalev V.A. A method for 3D image retrieval. In: Proceedings of the 10th International Conference on Pattern Recognition and Information Processing, Minsk, Belarus, 19-21 May, BSU, 2009, pp. 224-227.

Kovalev V., Safonov I., Dmitruk A., Prus A. Multidimensional structural descriptors for medical image retrieval. In: Theseus/ImageCLEF Per-Workshop, 13th European Conference on Digital Libraries (ECDL-2009), Corfu, Greece, 29 Sep 2009, Fraunhofer IDMT, 2009, pp. 67-72.

Dmitruk A.A., Kovalev V.A. Mobile web-based technology for medical image retrieval. In: Proceedings of the 10th International Conference on Pattern Recognition and Information Processing, Minsk, Belarus, 19-21 May, BSU, 2009, pp. 345-347.

M.V. Sprindzuk, V. A. Kovalev, A.V. Tuzikov at al, Computer-Aided Diagnosis of the Pulmonary Nodule, Book of Abstracts of the 6th International workshop on Digital Technologies (DT 2009), November 12-13, Zilina, Slovakia, 2009, p.83-84. ISBN 978-80-554-0129-4

M.V. Sprindzuk, V. A. Kovalev, A.V. Tuzikov, E.V. Snezhko, A.A Dmitruk, S.A. Kharuzhik, E.Zaitseva, Computer-Aided Diagnosis of the Pulmonary Nodule, Proc. of the 6th International workshop on Digital Technologies (DT 2009), November 12-13, Zilina, Slovakia, 2009. ISBN 978-80-554-0150-8

Êîâàëåâ Â.À., Ñíåæêî Ý.Â., Àðõèïîâ Â.È. Ìåòîä àäàïòàöèè öèôðîâûõ èçîáðàæåíèé äëÿ ëþäåé ñ àíîìàëüíûì öâåòîâîñïðèÿòèåì (äèõðîìàòîâ) // Äîêëàäû 20é Ìåæäóíàðîäíîé êîíôåðåíöèè ïî êîìïüþòåðíîé ãðàôèêå è çðåíèþ, 20-24 ñåíòÿáðÿ, Ñàíêò-Ïåòåðáóðã, 2010, Ñ.163-168.

Ëèòâèí À.À., Æàðèêîâ Î.Ã., Êîâàëåâ Â.À. Èñïîëüçîâàíèå ñèñòåìû ïîääåðæêè ïðèíÿòèÿ ðåøåíèé â íåîòëîæíîé ïàíêðåàòîëîãèè.  ñá.: ×åðíîáûëüñêèå ÷òåíèÿ - 2010, Ìàòåðèàëû Ìåæäóíàðîäíîé íàó÷íî-ïðàêòè÷ñêîé êîíôåðåíöèè, 15-16 àïðåëÿ 2010ã., Ãîìåëü, ÐÍÏÖ ðàäèàöèîííîé ìåäèöèíû è ýêîëîãèè ÷åëîâåêà è ÐÍÈÓÏ «Èíñòèòóò ðàäèîëîãèè», ISBN 978-985-6765-52-3, 2010, ñ. 155-157.

À.À. Äìèòðóê. Ñðàâíèòåëüíûé àíàëèç ýôôåêòèâíîñòè ïîèñêà èçîáðàæåíèé ìîçãà ðàçëè÷íûõ ìîäàëüíîñòåé / À.À. Äìèòðóê, Â.À. Êîâàëåâ // AITTH'2008: ìàòåðèàëû II Ìåæäóíàðîäíîé êîíôåðåíöèè «Ñîâðåìåííûå èíôîðìàöèîííûå è òåëåìåäèöèíñêèå òåõíîëîãèè äëÿ çäðàâîîõðàíåíèÿ», Ìèíñê, Áåëàðóñü. — 2008. — Ñ. 174-178.

Òåçèñû äîêëàäîâ

Kovalev V., Safonov I, Dmitruk A., Prus A. United Institute of Informatics Problems at CLEF2009 Medical Image Retrieval Task. In: Cross-Language System Evaluation Campaign (CLEF-2009), Corfu, Greece, 30 Sep 2009, Book of Abstracts, ISBN 978-88-88506-84-5, 2009, p. 52.

Prus A., Kovalev V., Vankevich P. A method for lung segmentation in massive X-ray screening of the population. International Journal of Computer Assisted Radiology and Surgery (CARS-2009), Berlin, Germany, vol. 3, Supp. 1, June 2009, pp. S367-S368.

A.L. Bogush, V.A. Kovalev , M.L. Lushchyk, M. Petrou. Texture analysis of 3D ultrasound images of thyroid gland tumors. International Journal of Computer Assisted Radiology and Surgery, vol. 2, suppl. 1, 2007, 520. (Proceedings of the 21st International Congress on Computer Assisted Radiology and Surgery (CARS 2007), June 27 - 30, 2007, Berlin, Germany).