Image texture model based on energy features by Lyasheva, M M, Lyasheva, S A, Shleymovich, M P

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Automated deep learning quantification of epicardial adiposity on cardiac CT predicts atrial fibrillation risk immediately following cardiac surgery and long-term by West, H, Siddique, M, Volpe, L, Desai, R, Lyasheva, M, Dangas, K, Tomlins, P, Mitchell, A, Kardos, A, Casadei, B, Channon, K, Antoniades, C

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Pericoronary fat radiomic profile (FRP) predicts long-term cardiac risk in individuals with calcium score below 100 on coronary computed tomography angiography by Kotanidis, C.P, Oikonomou, E.K, Williams, M.C, Thomas, S, Thomas, K.E, Lyasheva, M, Antonopoulos, A.S, Dweck, M.R, Shirodaria, C, Neubauer, S, Channon, K.M, Newby, D.E, Antoniades, C

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Automated quantification of epicardial adipose tissue on CCTA via deep-learning detection of the pericardium: clinical implications by West, H W, Siddique, M, Volpe, L, Desai, R, Lyasheva, M, Dangas, K, Shirodaria, C, Neubauer, S, Channon, K, Desai, M Y, Newby, D E, Rodrigues, J C L, Adlam, D, Nicol, E D, Antoniades, C

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Photon Counting Computed Tomography: Pure Calcium Using Coronary Computed Tomography Angiography Vs Calcium Measurement From Non-contrast Computed Tomography by Xie, C., Chan, K., Nikolaidou, C., Thomas, S., Denton, J., Farrall, R., Taylor, C., Araujo, E., Lyasheva, M., Pritchard, A., Channon, K., Neubauer, S., Antoniades, C.

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Automated Quantification of Epicardial Adipose Tissue on Cardiac CT Unlocks Best Prediction of Post-Cardiac Surgery AF Risk by West, H., Siddique, M., Patel, P., Wahome, E., Volpe, L., Desai, R., Lyasheva, M., Dangas, K., Tomlins, P., Casadei, B., Channon, K., Antoniades, C.

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410 Automated Deep Learning Quantification Of Epicardial Adiposity On Cardiac CT Predicts Atrial Fibrillation Risk Immediately Following Cardiac Surgery And Long-term by West, H., Siddique, M., Volpe, L., Desai, R., Lyasheva, M., Dangas, K., Tomlins, P., Mitchell, A., Kardos, A., Casadei, B., Channon, K., Antoniades, C.

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Cost-effectiveness Of A New Ai-assisted Technology That Measures Coronary Inflammatory Risk From Routine Coronary Computed Tomography Angiography by Tsiachristas, A., Chan, K., Wahome, E., Kearns, B., Patel, P., Lyasheva, M., Syed, N., Fry, S., Ahmed, H., Nicol, E., Adlam, D., Modi, B., Kardos, A., Sabharwal, N., Munir, S., McAlindon, E., Sohan, Y., Tomlins, P., Siddique, M., Shirodaria, C., Blankstein, R., Desai, M., Neubauer, S., Channon, K., Akehurst, R., Antoniades, C.

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Automatic Car License Plate Detection Based on the Image Weight Model by Gizatullin, Zinnur M., Lyasheva, Maya M., Shleymovich, Mikhail P., Lyasheva, Stella A.

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Method for Constructing Texture Features based on an Image Weight Model by Gizatullin, Zinnur M., Lyasheva, Maya M., Shleymovich, Mikhail P., Lyasheva, Stella A.

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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography by Oikonomou, Evangelos K, Williams, Michelle C, Kotanidis, Christos P, Desai, Milind Y, Marwan, Mohamed, Antonopoulos, Alexios S, Thomas, Katharine E, Thomas, Sheena, Akoumianakis, Ioannis, Fan, Lampson M, Kesavan, Sujatha, Herdman, Laura, Alashi, Alaa, Centeno, Erika Hutt, Lyasheva, Maria, Griffin, Brian P, Flamm, Scott D, Shirodaria, Cheerag, Sabharwal, Nikant, Kelion, Andrew, Dweck, Marc R, Van Beek, Edwin J R, Deanfield, John, Hopewell, Jemma C, Neubauer, Stefan, Channon, Keith M, Achenbach, Stephan, Newby, David E, Antoniades, Charalambos

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Formation of Energy Features of the Image based on Wavelet Transform by Lyasheva, S A, Shleymovich, M P

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Frame interpolation in video stream using optical flow methods by Lyasheva, S, Rakhmankulov, R, Shleymovich, M

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Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction by West, Henry W, Siddique, Muhammad, Williams, Michelle C, Volpe, Lucrezia, Desai, Ria, Lyasheva, Maria, Thomas, Sheena, Dangas, Katerina, Kotanidis, Christos P, Tomlins, Pete, Mahon, Ciara, Kardos, Attila, Adlam, David, Graby, John, Rodrigues, Jonathan C L, Shirodaria, Cheerag, Deanfield, John, Mehta, Nehal N, Neubauer, Stefan, Channon, Keith M, Desai, Milind Y, Nicol, Edward D, Newby, David E, Antoniades, Charalambos

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Filtration-histogram based texture analysis and CALIPER based pattern analysis as quantitative CT techniques in idiopathic pulmonary fibrosis: head-to-head comparison by AlDalilah, Yazeed, Ganeshan, Balaji, Endozo, Raymond, Bomanji, Jamshed, Porter, Joanna C, Machado, Maria, Bertoletti, Linda, Lilburn, David, Lyasheva, Maria, Groves, Ashley M, Fraioli, Francesco

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Abstract 13475: Epicardial Adiposity Measured by a Deep Learning Network, Predicts Mortality and Cardiovascular Events in Patients Undergoing Cardiac CT by West, Henry W, Williams, Michelle C, Siddique, Muhammad, Volpe, Lucrezia, Desai, Ria, Lyasheva, Maria, Dangas, Katerina, Tomlins, Pete, Oikonomou, Evangelos K, Shirodaria, Cheerag, Neubauer, Stefan, Channon, Keith M, Rodrigues, Jonathan, Nicol, Ed, Newby, David E, Antoniades, Charalambos

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Abstract 11962: Applying a Deep-Learning Approach for Automated Quantification of Epicardial Adipose Tissue on Coronary Computed Tomography Angiography in Challenging Clinical Popu... by West, Henry W, Siddique, Muhammad, Volpe, Lucrezia, Desai, Ria, Lyasheva, Maria, Dangas, Katerina, Shirodaria, Cheerag, Neubauer, Stefan, Channon, Keith M, Desai, Milind Y, Williams, Michelle C, Rodrigues, Jonathan C, Adlam, David, Ed, Nicol D, Antoniades, Charalambos

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Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography by West, Henry W., Siddique, Muhammad, Williams, Michelle C., Volpe, Lucrezia, Desai, Ria, Lyasheva, Maria, Thomas, Sheena, Dangas, Katerina, Kotanidis, Christos P., Tomlins, Pete, Mahon, Ciara, Kardos, Attila, Adlam, David, Graby, John, Rodrigues, Jonathan C.L., Shirodaria, Cheerag, Deanfield, John, Mehta, Nehal N., Neubauer, Stefan, Channon, Keith M., Desai, Milind Y., Nicol, Edward D., Newby, David E., Antoniades, Charalambos

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Terrain object recognition in unmanned aerial vehicle control system by Lyasheva, S. A., Medvedev, M. V., Shleimovich, M. P.

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Synergistic application of pulmonary 18F-FDG PET/HRCT and computer-based CT analysis with conventional severity measures to refine current risk stratification in idiopathic pulmona... by Fraioli, Francesco, Lyasheva, Maria, Porter, Joanna C., Bomanji, Jamshed, Shortman, Robert I., Endozo, Raymond, Wan, Simon, Bertoletti, Linda, Machado, Maria, Ganeshan, Balaji, Win, Thida, Groves, Ashley M.

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