| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1779 | 2018 |
| Subcellular location of astrocytic calcium stores favors extrasynaptic neuron–astrocyte communication I Patrushev, N Gavrilov, V Turlapov, A Semyanov Cell calcium 54 (5), 343-349, 2013 | 129 | 2013 |
| Astrocytic coverage of dendritic spines, dendritic shafts, and axonal boutons in hippocampal neuropil N Gavrilov, I Golyagina, A Brazhe, A Scimemi, V Turlapov, A Semyanov Frontiers in cellular neuroscience 12, 248, 2018 | 83 | 2018 |
| Glioma segmentation with cascaded UNet D Lachinov, E Vasiliev, V Turlapov International MICCAI Brainlesion Workshop, 189-198, 2018 | 81 | 2018 |
| Complex analysis and monitoring of the environment based on Earth sensing data LI Lebedev, YV Yasakov, TS Utesheva, VP Gromov, AV Borusyak, ... Computer Optics 43 (2), 282-295, 2019 | 36 | 2019 |
| CAD model inspection utility and prototyping framework based on OpenCascade S Slyadnev, A Malyshev, V Turlapov Conference Paper: GraphiCon, 2017 | 25 | 2017 |
| Knowledge distillation for brain tumor segmentation D Lachinov, E Shipunova, V Turlapov International MICCAI Brainlesion Workshop, 324-332, 2019 | 18 | 2019 |
| GPU-optimized bi-directional path tracing D Bogolepov, D Ulyanov, D Sopin, V Turlapov Václav Skala-UNION Agency, 2013 | 18 | 2013 |
| GPU-optimized efficient quad-tree based progressive multiresolution model for interactive large scale terrain rendering E Yusov, V Turlapov methods 9 (10), 16, 2007 | 17 | 2007 |
| Modeling and evaluating of the Stewart platform A Korobeynikov, VE Turlapov sign 1 (1), 1-21, 2005 | 16 | 2005 |
| Cephalometric landmark regression with convolutional neural networks on 3D computed tomography data D Lachinov, A Getmanskaya, V Turlapov Pattern Recognition and Image Analysis 30, 512-522, 2020 | 13 | 2020 |
| Graph-based feature recognition and suppression on the solid models A Malyshev, S Slyadnev, V Turlapov GraphiCon 17, 319-322, 2017 | 12 | 2017 |
| Novel approach to development of direct volume rendering algorithms based on visualization quality assessment NI Gavrilov, VE Turlapov Programming and Computer Software 40, 174-184, 2014 | 12 | 2014 |
| Automatic detection of neurons, astrocytes, and layers for NISSL-stained mouse cortex S Nosova, L Snopova, V Turlapov Václav Skala-UNION Agency, 2017 | 11 | 2017 |
| Advanced GPU-based ray casting for bricked datasets N Gavrilov, V Turlapov ACM SIGGRAPH 2012 Posters, 1-1, 2012 | 9 | 2012 |
| JPEG2000-based compressed multiresolution model for real-time large scale terrain visualization E Yusov, V Turlapov Proc. of the 18th International Conference on Computer Graphics and Vision …, 2008 | 9 | 2008 |
| Interactive vizualization of constructive solid geometry scenes on graphic processors D Ulyanov, D Bogolepov, V Turlapov Programming and Computer Software 43, 258-267, 2017 | 8 | 2017 |
| 3D scientific visualization and geometric modeling in digital biomedicine VE Turlapov, NI Gavrilov Sci. Vis 7 (4), 27-43, 2015 | 8 | 2015 |
| Simplification of CAD models by automatic recognition and suppression of blend chains SE Slyadnev, VE Turlapov Programming and Computer Software 46, 233-243, 2020 | 7 | 2020 |
| Cardiomodel–new software for cardiac electrophysiology simulation V Petrov, S Lebedev, A Pirova, E Vasilyev, A Nikolskiy, V Turlapov, ... Supercomputing: 4th Russian Supercomputing Days, RuSCDays 2018, Moscow …, 2019 | 7 | 2019 |
Alexey SemyanovJiaxing University
