Vitali Liauchuk: ImageCLEF 2019: Projection-based CT Image Analysis for TB Severity Scoring and CT Report Generation. CLEF 2019, Lugano, Switzerland; 09/2019
Yashin Dicente Cid, Vitali Liauchuk, Dzmitri Klimuk, Aleh Tarasau, Vassili Kovalev, Henning Müller: Overview of ImageCLEFtuberculosis 2019 - Automatic CT-based Report Generation and Tuberculosis Severity Assessment. CLEF 2019 Working Notes; 09/2019
Valery Malyshev, Vassili Kovalev, Vitali Liauchuk, Alexander Kalinovsky: A Comparison of Segmentation Methods Based on Image Registration and Convolutional Neural Networks. Pattern Recognition and Information Processing 2019, Belarus, Minsk; 05/2019
Vitali Liauchuk, Vassili Kovalev: Detection of Lung Pathologies Using Deep Convolutional Networks Trained on Large X-ray Chest Screening Database. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2019), Minsk; 05/2019
Vitali Liauchuk, Aleh Tarasau, Eduard Snezhko, Vassili Kovalev: ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis. CLEF 2018 Working Notes, Avignon; 09/2018
Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Henning Müller: Overview of ImageCLEFtuberculosis 2018-Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores. CLEF 2018 Working Notes, Avignon; 09/2018
Vassili Kovalev, Vitali Liauchuk, Alena Skrahina, Andrei Astrauko, Alex Rosenthal, Andrei Gabrielian: Examining the utility of clinical, laboratory and radiological data for scoring severity of pulmonary tuberculosis. Computer Assisted Radiology and Surgury - 32nd International Congress and Exhibition (CARS-2018), Berlin, Germany; 06/2018
Vitali Liauchuk, Vassili Kovalev: ImageCLEF 2017: Supervoxels and Co-occurrence for Tuberculosis CT Image Classification. CLEF 2017, Dublin Ireland; 09/2017
Bogdan Ionescu, Henning Müller, Mauricio Villegas, Helbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba G. Seco de Herrera, Cathal Gurrin, Bayzidul Islam, Vassili Kovalev, Vitali Liauchuk, Josiane Mothe, Luca Piras, Michael Riegler, Immanuel Schwall: Overview of ImageCLEF 2017: Information Extraction from Images. International Conference of the Cross-Language Evaluation Forum for European Languages; 08/2017
DOI: 10.1007/978-3-319-65813-1_28
Vitali Liauchuk, Vassili Kovalev, Alexander Kalinovsky, Aleh Tarasau, Andrei Gabrielian, Alex Rosenthal: Examining the ability of convolutional neural networks to detect lesions in lung CT images (Deep Learning). Computer Assisted Radiology and Surgery 2017, Barcelona; 06/2017
Vassili Kovalev, Vitali Liauchuk, Alexander Kalinovsky, Alexey Shukelovich: A comparison of conventional and deep learning methods of image classification on a database of chest radiographs. International Congress on Computer Assisted Radiology and Surgery, Barcelona, Spain; 06/2017
V A Kovalev, V A Liauchuk, A A Kalinovsky, A V Shukelovich: Benchmarking the efficiency of Deep Learning methods on the problem of predicting subjects' age by chest radiographs. Big Data (Minsk), Minsk; 05/2017
Alexander Kalinovsky, Vitali Liauchuk, Aleh Tarasau: Lesion detection in CT images using Deep Learning semantic segmentation tachnique. ISPRS PSBB 17; 05/2017
Yashin Dicente Cid, Artem Mamonov, Armin Thomas, Vassili Kovalev, Jayashree Kalpathy-Cramer, Henning Müller: Making Sense of Large Data Sets without Annotations: Analyzing Age–related Correlations from Lung CT Scans. SPIE Medical Imaging; 03/2017
DOI: 10.1117/12.2255609
Vladislav Blazhko, Alexander Kalinovsky, Vassili Kovalev: Unmanned Aerial Vehicle (UAV): Back to Base Without Satellite Navigation. International Conference on Pattern Recognition and Information Processing; 02/2017
DOI: 10.1007/978-3-319-54220-1_15
Vassili Kovalev, Eduard Snezhko, Siarhei Kharuzhyk, Vitali Liauchuk: Highlighting Tumor Borders Using Generalized Gradient. International Conference on Pattern Recognition and Information Processing; 02/2017
DOI: 10.1007/978-3-319-54220-1_9
Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Henning Müller: Overview of ImageCLEF 2017 Tuberculosis Task – Predicting Tuberculosis Type and Drug Resistances. CLEF 2017 working Notes, Dublin Ireland; 01/2017
Vassili Kovalev, Alexander Kalinovsky, Sergey Kovalev: Deep Learning with Theano, Torch, Caffe, TensorFlow, and Deeplearning4J: Which One Is the Best in Speed and Accuracy?. XIII International Conference on Pattern Recognition and Information Processing (Oct 2016): http://www.prip.bsu.by/, Minsk, Belarus; 10/2016
Alexander Kalinovsky, Vassili Kovalev: Lung Image Segmentation Using Deep Learning Methods and Convolutional Neural Networks. XIII International Conference on Pattern Recognition and Information Processing (PRIP-2016), Minsk, Belarus; 10/2016
V A Kovalev, A A Kalinovsky, V A Liauchuk: Deep Learning in Big Image Data: Histology Image Classification for Breast Cancer Diagnosis. Int. Conference on BIG DATA and Advanced Analytics, , 15-17 June, 2016, Minsk, Belarus; 06/2016
Vitali Liauchuk, Vassili Kovalev, Andrei Astrauko, Alex Rosenthal, Andrei Gabrielian: A method for highlighting lung tuberculosis lesions in CT images using superpixel approach. Computer Assisted Radiology and Surgery (CARS-2016), Heidelberg, Germany; 06/2016
Liauchuk V., Kovalev V., Barkaline V., Lazouski U.: Content-based image retrieval as a method for melanoma diagnosis. International Congress on Computer Assisted Radiology and Surgery, Barcelona, Spain; 06/2015
Vassili Kovalev, Vitali Liauchuk, Alexander Kalinovsky, Alex Rosenthal, Andrei Gabrielian, Alena Skrahina, Andrei Astrauko, Aleh Tarasau: Utilizing radiological images for predicting drug resistance of lung tuberculosis. International Congress of Computer Assisted Radiology and Surgery, Barcelona, Spain; 06/2015
Vassili Kovalev: A framework for agent-based analysis of big collections of medical image data. Big Data and Predictive Analytics, Minsk, Belarus; 06/2015
Vassili Kovalev, Alexander Kalinovsky: Big Medical Data: Image Mining, Retrieval and Analytics. Big Data and Predictive Analytics, Minsk, Belarus; 06/2015
Vitali Liauchuk, Eduard Snezhko: A method for coarse segmentation of pathological lungs on CT images using ribcage. PRIP-2014, Minsk, Belarus; 01/2014
Vassili Kovalev, Vitali Liauchuk, Ihar safonau, Andrei Astrauko, Alena Skrahina, Andrei Tarasau: Is there any correlation between the drug resistance and structural features of radiological images of lung tuberculosis patients?. CARS-2013, Heidelberg, Germany; 01/2013
Vitali Liauchuk, Vassili Kovalev, Ihar safonau, Dmitry Stsepankou, Juergen Hesser: CT Image Reconstruction with the Co-occurrence Matrix Similarity as Regularization Term. CARS-2013, Heidelberg, Germany; 01/2013
Vassili Kovalev, Vitali Liauchuk, Ihar Safonau: Examining the feasibility of predicting drug resistance of lung tuberculosis using image data. CDAM-2013, Minsk, Belarus; 01/2013
Alilou M., Kovalev V.: A method for object detection and segmentation in medical images. Int. Congress on Computer Assisted Radiology and Surgery (CARS-2012), Pisa, Italy; 06/2012
Kovalev V., Snezhko E., Kharuzhyk S.: A method for highlighting tumor borders in lung CT images. Int. Congress on Computer Assisted Radiology and Surgery (CARS-2012), Pisa, Italy; 06/2012
Kovalev V., Dmitruk A.: Influence of similarity measures on the results of medical image retrieval. Int. Congress on Computer Assisted Radiology and Surgery (CARS-2011), Berlin, Germany; 06/2011
Vassili Kovalev, Alexander Dmitruk, Ihar Safonau, Mikhail Frydman, Sviatlana Shelkovich: Lecture Notes in Computer Science. Computer Analysis of Images and Patterns - 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part I; 01/2011
DOI: 10.1007/978-3-642-23672-3_56
Kovalev V., Dmitruk A., Safonau I.: Image retrieval for cancer diagnosis. Int. Congress on Computer Assisted Radiology and Surgery (CARS-2010), Geneva, Switzerland; 06/2010
Vassili Kovalev, Aliaksandr Prus, Pavel Vankevich: Mining Lung Shape from X-Ray Images. Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings; 07/2009
DOI: 10.1007/978-3-642-03070-3_42
Prus A., Kovalev V., Vankevich P.: A method for lung segmentation in massive X-ray screening of the population. Int. Congress on Computer Assisted Radiology and Surgery (CARS-2009), Berlin, Germany; 06/2009
Bogush A.L., Kovalev V.A., Lushchyk M.L., Petrou M.: Texture analysis of 3D images of thyroid gland tumors. Int. Congress on Computer Assisted Radiology and Surgery (CARS-2007), Berlin, Germany; 06/2007
Vassili A Kovalev, Lennart Thurfjell, Roger Lundqvist, Marco Pagani: Asymmetry of SPECT Perfusion Image Patterns as a Diagnostic Feature for Alzheimer’s Disease. Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II; 10/2006
DOI: 10.1007/11866763_52
Vassili A. Kovalev: Mining Dichromatic Colours from Video. Advances in Data Mining, Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14-15, 2006, Proceedings; 07/2006
DOI: 10.1007/11790853_34
Vassili Kovalev, Nathalie Harder, Beate Neumann, Michael Held, Urban Liebel, Holger Erfle, Jan Ellenberg, Roland Eils, Karl Rohr: Feature Selection for Evaluating Fluorescence Microscopy Images in Genome-Wide Cell Screens. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17-22 June 2006, New York, NY, USA; 01/2006
DOI: 10.1109/CVPR.2006.121
Vassili A. Kovalev, Maria Petrou: The Classification Gradient. 18th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, China; 01/2006
DOI: 10.1109/ICPR.2006.1116
Vassili A. Kovalev, Maria Petrou: Optimising the Choice of Colours of an Image Database for Dichromats. Machine Learning and Data Mining in Pattern Recognition, 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings; 07/2005
DOI: 10.1007/11510888_45
M. Petrou, F. Mohanna, V. Kovalev: 3D non-linear invisible boundary detection filters. 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on; 10/2004
DOI: 10.1109/TDPVT.2004.1335421
V.A. Kovalev: Towards image retrieval for eight percent of color-blind men. Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on; 09/2004
DOI: 10.1109/ICPR.2004.1334414
Vassili A. Kovalev, Frithjof Kruggel: A New Method for Quantification of Age-Related Brain Changes.. Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03; 01/2004
DOI: 10.1109/ICPR.2004.68
F. Kruggel, V. Kovalev: Classifying brain shapes. Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on; 12/2002
DOI: 10.1109/ICONIP.2002.1201982
F. Kruggel, C. Chalopin, X. Descombes, V. Kovalev, J.C. Rajapakse: Segmentation of Pathological Features in MRI brain datasets. Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on; 12/2002
DOI: 10.1109/ICONIP.2002.1201981
V.A. Kovalev, F. Kruggel, D.Y. von Cramon: Structural brain asymmetry as revealed by 3D texture analysis of anatomical MR images. Pattern Recognition, 2002. Proceedings. 16th International Conference on; 02/2002
DOI: 10.1109/ICPR.2002.1044882
Vassili A. Kovalev, Maria Petrou: Texture analysis in three dimensions as a cue to medical diagnosis. Handbook of medical imaging; 10/2000
DOI: 10.1016/B978-012077790-7/50020-5
V. Kovalev, S. Volmer: Color co-occurence descriptors for querying-by-example. Multimedia Modeling, 1998. MMM '98. Proceedings. 1998; 11/1998
DOI: 10.1109/MULMM.1998.722972
Vassili A. Kovalev, Yaroslav S. Bondar: A Method for Anisotropy Analysis of 3D Images.. Computer Analysis of Images and Patterns, 7th International Conference, CAIP'97, Kiel, Germany, September 10-12, 1997, Proceedings; 09/1997
DOI: 10.1007/3-540-63460-6_155
Vassili A. Kovalev, Maria Petrou: An Energy Minimisation Approach to the Registration, Matching and Recognition of Images.. Computer Analysis of Images and Patterns, 7th International Conference, CAIP'97, Kiel, Germany, September 10-12, 1997, Proceedings; 09/1997
DOI: 10.1007/3-540-63460-6_170
Vassili A. Kovalev, Maria Petrou, Yaroslav S. Bondar: 3D Surface roughness quantification.. Proceedings of the British Machine Vision Conference 1997, BMVC 1997, University of Essex, UK, 1997; 01/1997
V.A. Kovalev, A.Y. Grigoriev, Hyo-Sok Ahn: Robust recognition of white blood cell images. Pattern Recognition, 1996., Proceedings of the 13th International Conference on; 09/1996
DOI: 10.1109/ICPR.1996.547448
Vassili A. Kovalev: Rule-Based Method for Tumor Recognition in Liver Ultrasonic Images.. Image Analysis and Processing, 8th International Conference, ICIAP '95, San Remo, Italy, September 13-15, 1995, Proceedings; 01/1995
DOI: 10.1007/3-540-60298-4_261
Vassili A. Kovalev, Nikolai V. Mytzik: Computer Analysis of the Large Intestine Contours for the Recognition of Diseases.. Computer Analysis of Images and Patterns, 5th International Conference, CAIP'93, Budapest, Hungary, September 13-15, 1993, Proceedings; 09/1993 DOI: 10.1007/3-540-57233-3_85
Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Asma Ben Abacha, Sadid A Hasan, Vivek Datla, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M Friedrich, Jon Chamberlain, Adrian Clark, Alba García, Seco De Herrera, Narciso Garcia, Ergina Kavallieratou, Carlos Roberto Del Blanco, Carlos Cuevas Rodríguez, Nikos Vasillopoulos, Konstantinos Karampidis: ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. Lecture Notes in Computer Science 03/2019;
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P.W. Pluim: Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Analysis 02/2019; 54.,
DOI: 10.1016/j.media.2019.02.012
Alex Rosenthal, Andrei Gabrielian, Eric Engle, Darrell E. Hurt, Sofia Alexandru, Valeriu Crudu, Eugene Sergueev, Valery Kirichenko, Vladzimir Lapitskii, Eduard Snezhko, Vassili Kovalev, Andrei Astrovko, Alena Skrahina, Jessica Taaffe, Michael Harris, Alyssa Long, Kurt Wollenberg, Irada Akhundova, Sharafat Ismayilova, Aliaksandr Skrahin, Elcan Mammadbayov, Hagigat Gadirova, Rafik Abuzarov, Mehriban Seyfaddinova, Zaza Avaliani, Irina Strambu, Dragos Zaharia, Alexandru Muntean, Eugenia Ghita, Miron Bogdan, Roxana Mindru, Victor Spinu, Alexandra Sora, Catalina Ene, Sergo Vashakidze, Natalia Shubladze, Ucha Nanava, Alexander Tuzikov, Michael Tartakovsky: The TB Portals: an Open-Access, Web-Based Platform for Global Drug-Resistant-Tuberculosis Data Sharing and Analysis. Journal of Clinical Microbiology 09/2017; 55(11):JCM.01013-17.
DOI: 10.1128/JCM.01013-17
E. V. Snezhko, S. A. Kharuzhyk, A. V. Tuzikov, V. A. Kovalev: SMALL NODULES LOCALIZATION ON CT IMAGES OF LUNGS. 05/2017; XLII-2/W4:141-144.
DOI: 10.5194/isprs-archives-XLII-2-W4-141-2017
A. Kalinovsky, V. Liauchuk, A. Tarasau: LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE. 05/2017; XLII-2/W4:13-17.
DOI: 10.5194/isprs-archives-XLII-2-W4-13-2017
Mehdi Alilou, Vassili Kovalev, Eduard Snezhko, Vahid Taimouri: A comprehensive framework for automatic detection of pulmonary nodules in lung CT images. Image Analysis and Stereology 03/2014; 33(1):13.
DOI: 10.5566/ias.v33.p13-27
Mehdi Alilou, Vassili Kovalev, Vahid Taimouri: Segmentation of cell nuclei in heterogeneous microscopy images: A reshapable templates approach. Computerized medical imaging and graphics: the official journal of the Computerized Medical Imaging Society 08/2013; 37(7-8).
DOI: 10.1016/j.compmedimag.2013.07.004
Mehdi Alilou, Vassili Kovalev: Automatic object detection and segmentation of the histocytology images using reshapable agents. 06/2013; 32(2):89.
DOI: 10.5566/ias.v32.p89-99
V. Kovalev, V. Liauchuk, I. Safonau, A. Astrauko, A. Skrahina, A. Tarasau: Is there any correlation between the drug resistance and structural features of radiological images of lung tuberculosis patients?.
M. Frydman M, V. Kovalev, A. Konchic, S. Kupryian: 23. Lymphangiogenesis in serous ovarian carcinomas. Pathology 12/2012; 44(1):S111.
DOI: 10.1016/S0031-3025(16)32915-4
S A Khorzhik, E V Bogushevich, M V Sprindzhuk, E V Snezhko, V A Kovalev, A V Tuzikov: [Computer-assisted diagnosis of nodular lesions in the lung]. Voprosy onkologii 01/2011; 57(1):25-35.
Vassili Kovalev, Igor Safonov: A Comparison Of Suitable Object Recognition Methods For Mobile Voiced Visual Assistant.
M V Sprindzuk, V.A. Kovalev, E V Snezhko, S.A. Kharuzhyk: Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art. Polish Journal of Radiology 03/2010; 75(1):67-80.
Maria Petrou, Vassili A. Kovalev, Jürgen R. Reichenbach: High order statistics for tissue segmentation
DOI: 10.1016/B978-012373904-9.50022-2
Matvey Sprindzuk, Alexander Dmitruk, Vassili Kovalev, Armen Bogush, Alexander Tuzikov, Victor Liakhovski, Mikhail Fridman: Computer-aided Image Processing of Angiogenic Histological. Journal of Clinical Medicine Research 12/2009; 1(5):249-61.
DOI: 10.4021/jocmr2009.12.1274
Vassili Kovalev, Igor Safonov, Alexander Dmitruk, Alexander Prus: United Institute Of Informatics Problems at CLEF2009: Medical Image Retrieval Task.
Øystein Olsen, Marte Thuen, Martin Berry, Vassili Kovalev, Maria Petrou, Pål Erik Goa, Axel Sandvig, Olav Haraldseth, Christian Brekken: Axon tracing in the adult rat optic nerve and tract after intravitreal injection of MnDPDP using a semiautomatic segmentation technique. Journal of Magnetic Resonance Imaging 01/2008; 27(1):34-42.
DOI: 10.1002/jmri.21234
Vassili Kovalev, Frithjof Kruggel: Texture Anisotropy of the Brain's White Matter as Revealed by Anatomical MRI. IEEE Transactions on Medical Imaging 06/2007; 26(5):678-85.
DOI: 10.1109/TMI.2007.895481
Maria Petrou, Vassili A Kovalev, Jürgen R Reichenbach: Three-Dimensional Nonlinear Invisible Boundary Detection. IEEE Transactions on Image Processing 11/2006; 15(10):3020-32.
DOI: 10.1109/TIP.2006.877516
Siti Khairunniza-Bejo, Maria Petrou, Vassili A. Kovalev: Elastic image registration for landslide deformation detection. Proceedings of SPIE - The International Society for Optical Engineering 11/2004; 5573.
DOI: 10.1117/12.565029
Marco Pagani, Vassili A Kovalev, Roger Lundqvist, Hans Jacobsson, Stig A Larsson, Lennart Thurfjell: A new approach for improving diagnostic accuracy in Alzheimer's disease and frontal lobe dementia utilising the intrinsic properties of the SPET dataset. European journal of nuclear medicine and molecular imaging 12/2003; 30(11):1481-8.
DOI: 10.1007/s00259-003-1196-z
Vassili A Kovalev, Maria Petrou, John Suckling: Detection of structural differences between the brains of schizophrenic patients and controls. Psychiatry Research 12/2003; 124(3):177-89.
DOI: 10.1016/S0925-4927(03)00070-2
Vassili A Kovalev, Frithjof Kruggel, D Yves von Cramon: Gender and age effects in structural brain asymmetry as measured by MRI texture analysis. NeuroImage 08/2003; 19(3):895-905.
DOI: 10.1016/S1053-8119(03)00140-X
Vassili A. Kovalev, Frithjof Kruggel, H J Gertz, D. Yves Von Cramon: Three-dimensional texture analysis of MRI brain datasets. IEEE Transactions on Medical Imaging 06/2001; 20(5):424-33.
DOI: 10.1109/42.925295
Vassili A. Kovalev, Frithjof Kruggel, Hermann Josef Gertz, D. Yves von Cramon: 3D Texture Analysis of MRI Brain Datasets..
Vassili A. Kovalev, Maria Petrou, Yaroslav S. Bondar: Texture anisotropy in 3-D images. IEEE Transactions on Image Processing 02/1999; 8(3):346-60.
DOI: 10.1109/83.748890
Vassili A Kovalev, Maria Petrou, Yaroslav S. Bondar: Using orientation tokens for object recognition. Pattern Recognition Letters 10/1998; 19(12-19):1125-1132.
DOI: 10.1016/S0167-8655(98)00093-2
V.A. Kovalev, M. Petroli: Non-rigid volume registration of medical images. Journal of Computing and Information Technology 01/1998; 6(2):181-190.
Vassili A. Kovalev, Maria Petrou: Multidimensional Co-occurrence Matrices for Object Recognition and Matching. Graphical Models and Image Processing 05/1996; 58(3):187-197.
DOI: 10.1006/gmip.1996.0016
Vassili A. Kovalev, Andrei Y. Grigoriev, Hyo-Sok Ahn, Nickolai K. Myshkin: Segmentation technique of complex image scene for an automatic blood-cell-counting system. Proceedings of SPIE - The International Society for Optical Engineering 04/1996;
DOI: 10.1117/12.237986
Vassili A. Kovalev, Andrei Y. Grigoriev, Hyo-Sok Ahn, Nickolai K. Myshkin: Automatic localization and feature extraction of white blood cells. Proceedings of SPIE - The International Society for Optical Engineering 05/1995;
DOI: 10.1117/12.208748
Vassili A. Kovalev: Feature extraction and visualization methods based on image class comparison. Proceedings of SPIE - The International Society for Optical Engineering 05/1994;
DOI: 10.1117/12.175105
V.A. Kovalev, S.A. Chizhik: Analysis of orientational structure in solid surfaces.
V.A. Kovalev, S.A. Chizhik: On the orientation structure of solid surfaces.
V.A. Kovalev, S.A. Chizhik: Computer analysis of images of submicrorelief of surface of solid bodies.
A N Mikhaĭlov, V A Kovalev, N V Mytsik: [Computer analysis of the contours of the large intestine for the purpose of disease diagnosis]. Meditsinskaia radiologiia 02/1991; 36(10):47-50.
Mehdi Alilou, Vassili Kovalev: A Framework for Object Detection and Segmentation in Medical Images Using Arbitrary Shapes.
H J A M Heijmans, V S Kirichuk, V A Kovalev, E J Pauwels, K U Leuven, Belgium M Leuven, Petrou, A V Tuzikov: MULTI-SCALE IMAGE ANALYSIS and APPLICATIONS in FRAMEWORK of the INTAS 96-785 PROJECT.
Ø. Olsen, V. Kovalev, M. Petrou, M. Thuen, P. Goa, C. Brekken, O. Haraldseth: Semi-automatic 3D Segmentation and CNR Measurement of Mn2+ Enhanced Optical Nerve in Adult Rats.
F. Kruggel, C. Chalopin, X. Descombes, V. A. Kovalev: Segmentation of pathological features in MRI brain datasets.
Kovalev V., Radzhabov A., Snezhko E. Chapter 8 - Automatic detection of pathological changes in chest X-Ray screening images using deep learning methods, In Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, Academic Press, 2023, pp. 155-178 (invited)
DOI: 10.1016/B978-0-323-96129-5.00005-6 | ISBN: 978-0-323-96129-5
Filipovich I., Kovalev V. Chapter 9 - Dependence of the results of adversarial attacks on medical image modality, attack type, and defense methods, In Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, Academic Press, 2023, pp. 179-195 (invited)
DOI: 10.1016/B978-0-323-96129-5.00004-4| ISBN: 978-0-323-96129-5
Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Asma Ben Abacha, Sadid A. Hasan, Vivek Datla, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Jon Chamberlain, Adrian Clark, Alba García Seco de Herrera, Narciso Garcia, Ergina Kavallieratou, Carlos Roberto del Blanco, Carlos Cuevas Rodríguez, Nikos Vasillopoulos, Konstantinos Karampidis: ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. Advances in Information Retrieval, 04/2019: pages 301-308
DOI: 10.1007/978-3-030-15719-7_40 | ISBN: 978-3-030-15718-0
Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba García Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin: Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation: 9th International Conference of the CLEF Association, CLEF 2018, Avignon, France, September 10-14, 2018, Proceedings. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 01/2018: pages 309-334
DOI: 10.1007/978-3-319-98932-7_28 | ISBN: 978-3-319-98931-0
Vassili A. Kovalev: Texture Analysis in 3D for Tissue Characterization. Handbook of Medical Image Processing and Analysis, 12/2009: pages 279-292
DOI: 10.1016/B978-012373904-9.50025-8 | ISBN: 978-0-123-73904-9
Vassili Kovalev: Анализ текстуры трехмерных медицинских изображений. 01/2008; Белорусская Наука (Belorusskaya Nauka, Belarusian Science)
ISBN: 978-985-08-0905-6