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ORCIDDmitry I. Kaplun
Dmitrii I. Kaplun – Dmitrij I. Kaplun
Person information
- affiliation: China University of Mining and Technology, Artificial Intelligence Research Institute, Xuzhou, China
- affiliation: Saint Petersburg Electrotechnical University, Department of Automation and Control Processes, Russia
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2020 – today
- 2025
[j29]Daria Valenkova, Asya I. Lyanova
, Aleksandr Sinitca, Ram Sarkar, Dmitry I. Kaplun:
A fuzzy rank-based ensemble of CNN models for MRI segmentation. Biomed. Signal Process. Control. 102: 107342 (2025)- [j28]Akash Halder, Arup Sau, Surya Majumder, Dmitrii I. Kaplun, Ram Sarkar:
An experimental study of U-net variants on liver segmentation from CT scans. J. Intell. Syst. 34(1) (2025) - [j27]Jiahui Yang, Fulin Nan, Zhirong Shen, Zhisheng Chen, Yuhui Cai, Dmitrii I. Kaplun, Xiaoli Wang, Quanqing Xu, Chuanhui Yang, Jiwu Shu:
TPRepair: Tree-based Pipelined Repair in Clustered Storage Systems. ACM Trans. Archit. Code Optim. 22(1): 31:1-31:25 (2025) - [c46]Saptarshi Pani, Gouranga Maity, Irina Shpakovskaya, Dmitrii I. Kaplun, Ram Sarkar:
Fusion of Vision and Text Features for Breast Cancer Classification Using a Few-Shot Approach. CBMS 2025: 297-302 - [c45]Sourajit Maity, Vyacheslav Gulvanskii, Dmitrii I. Kaplun, Ram Sarkar:
A Vehicle Detection Model from Still Images using Modified RT-DETR with Channel and Spatial Attention Modules. MECO 2025: 1-6 - [c44]Gouranga Maity, Souvik Pramanik, Diptarka Mandal, Dmitrii I. Kaplun, Vyacheslav Gulvanskii, Ram Sarkar:
VEGAN: A Vision-language and Edge-enhanced GAN-based Microscopic Medical Image Segmentation Model. MECO 2025: 1-6 - [c43]Ayush Roy, Sk Mohiuddin, Maxim V. Minenko, Dmitrii I. Kaplun, Ram Sarkar:
DeepSpace: Navigating the Frontier of Deepfake Identification Using Attention-Driven Xception and a Task-Specific Subspace. VISIGRAPP (2): VISAPP 2025: 163-172 - 2024
- [j26]Feng Zhang, Fulin Nan, Binbin Xu, Zhirong Shen, Jiebin Zhai, Dmitrii I. Kaplun, Jiwu Shu:
Achieving Tunable Erasure Coding with Cluster-Aware Redundancy Transitioning. ACM Trans. Archit. Code Optim. 21(3): 59:1-59:24 (2024) - [j25]Konudula Anjali Rao, Abhishek Kumar, Sujit Kumar Patel, Dmitry I. Kaplun, Neetesh Purohit:
Design of Frequency Sampling Rational Rate Polyphase FIR Converter. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 962-966 (2024) - [c42]Amartya Ray, Soumyajit Gayen, Dmitrii I. Kaplun, Ram Sarkar:
EDB-Net: An Edge-Guided Dual-Branch Neural Network for Skin Cancer Classification. ICPR (28) 2024: 138-153 - [c41]Ayush Roy, Payel Pramanik, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar:
Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images. ISBI 2024: 1-4 - [c40]Ayush Roy, Sujan Sarkar, Sohom Ghosal, Dmitrii I. Kaplun, Asya I. Lyanova, Ram Sarkar:
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-Based Feature Fusion. ISBI 2024: 1-4 - [c39]Vyacheslav Gulvanskii, Maxim V. Minenko, Georgii Gavrilov, Lev Bratchenko, Dmitrii I. Kaplun, Zhirong Shen:
Calibration Algorithm for a 3D Scanner Based on 2D Lidar and Visible Light Cameras. MECO 2024: 1-5 - [c38]Vyacheslav Gulvanskii, Maxim V. Minenko, Georgii Gavrilov, Lev Bratchenko, Dmitrii I. Kaplun, Oleg Zhavoronkov:
Using a Shape from Polarization to Determine the 3D Surface of Objects with Thermal Radiation. MECO 2024: 1-4 - [c37]Dmitrii V. Minenkov, Alexander S. Voznesensky, Dianhui Wang, Dmitrii I. Kaplun:
Effective Hardware Implementation of Convolution with Binary Sequences. MECO 2024: 1-4 - [c36]Srinjan Dutta, Jibesh Roy, Diptarka Mandal, Dmitrii I. Kaplun, Irina Shpakovskaya, Ram Sarkar:
Oral Cancer Classification Using a Hybrid Attention-Aided Deep Learning Model. MICAD 2024: 3-12 - [c35]Triyas Ghosh, Soham Chakraborty, Dmitrii I. Kaplun, Vyacheslav Gulvanskii, Ram Sarkar:
BFuse-Net: Bonferroni Mean Operator-Aided Fusion of Neural Networks for Medical Image Classification. MICAD 2024: 100-109 - [c34]Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitrii I. Kaplun, Ram Sarkar:
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation. MIUA (1) 2024: 300-313 - [c33]Sujan Sarkar, Siddhant Majumder, Diptarka Mandal, Vyacheslav Gulvanskii, Dmitrii I. Kaplun, Ram Sarkar:
Skin Lesion Classification using a Decentralized Peer-to-Peer Federated Learning Framework. SIPAIM 2024: 1-4 - [c32]Sujan Sarkar, Saptarshi Pani, Alexander S. Voznesensky, Dmitrij I. Kaplun, Ram Sarkar:
SERAU-Net: Snapshot Ensemble-Aided Region-Aware Attention-Based U-Net for Skin Lesion Segmentation. SIPAIM 2024: 1-4 - [i4]Devichand Budagam, Ayush Kumar, Sayan Ghosh, Anuj Shrivastav, Azamat Zhanatuly Imanbayev, Iskander Rafailovich Akhmetov, Dmitrii I. Kaplun, Sergey Antonov, Artem Rychenkov, Gleb Cyganov, Aleksandr Sinitca:
Instance Segmentation and Teeth Classification in Panoramic X-rays. CoRR abs/2406.03747 (2024) - [i3]Ayush Roy, Payel Pramanik, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar:
AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images. CoRR abs/2406.08425 (2024) - [i2]Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitry I. Kaplun, Ram Sarkar:
GRU-Net for breast histopathology image segmentation. CoRR abs/2406.08604 (2024) - [i1]Ayush Roy, Sujan Sarkar, Sohom Ghosal, Dmitry I. Kaplun, Asya I. Lyanova, Ram Sarkar:
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion. CoRR abs/2406.15128 (2024) - 2023
- [j24]Nandkishor Joshi, Abhishek Kumar, Dmitrii V. Minenkov, Dmitry I. Kaplun, Subhash C. Sharma:
Optimized MAC Protocol Using Fuzzy-Based Framework for Cognitive Radio AdHoc Networks. IEEE Access 11: 27506-27518 (2023) - [j23]Aleksandr M. Sinitca, Airat R. Kayumov, Pavel V. Zelenikhin, Andrey G. Porfiriev, Dmitrii I. Kaplun, Mikhail I. Bogachev:
Segmentation of patchy areas in biomedical images based on local edge density estimation. Biomed. Signal Process. Control. 79(Part): 104189 (2023) - [j22]Mikhail I. Bogachev, Asya I. Lyanova, Aleksandr M. Sinitca, Svetlana A. Pyko, Nikita S. Pyko, Alexander V. Kuzmenko, Sergey A. Romanov, Olga I. Brikova, Margarita Tsygankova, Dmitry Y. Ivkin, Sergey V. Okovityi, Veronika A. Prikhodko, Dmitrii I. Kaplun, Yuri I. Sysoev, Airat R. Kayumov:
Understanding the complex interplay of persistent and antipersistent regimes in animal movement trajectories as a prominent characteristic of their behavioral pattern profiles: Towards an automated and robust model based quantification of anxiety test data. Biomed. Signal Process. Control. 81: 104409 (2023) - [j21]Peter G. Boyvalenkov, Pavel A. Lyakhov, Nataliya Semyonova, Maria V. Valueva, Georgi Boyvalenkov, Dmitrii V. Minenkov, Dmitrii I. Kaplun:
Residue number systems with six modules and efficient circuits based on power-of-two diagonal modulus. Comput. Electr. Eng. 110: 108854 (2023) - [j20]Mikhail Bogachev, Aleksandr Sinitca, Konstantin Grigarevichius, Nikita S. Pyko, Asya I. Lyanova, Margarita Tsygankova, Eldar Davletshin, Konstantin Petrov, Tatyana Ageeva, Svetlana A. Pyko, Dmitry I. Kaplun, Airat R. Kayumov, Yana Mukhamedshina:
Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease. Frontiers Neuroinformatics 17 (2023) - [j19]Dmitrii I. Kaplun, Mikhail Bogachev, Pawan Kumar Singh, Ram Sarkar:
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders. Frontiers Neuroinformatics 17 (2023) - [j18]Gleb Cyganov, Artem Rychenkov, Aleksandr Sinitca, Dmitry I. Kaplun:
Using the fuzzy integrals for the ensemble-based segmentation of asphalt cracks. Ind. Artif. Intell. 1(1) (2023) - [j17]Konudula Anjali Rao, Abhishek Kumar, Dmitrii I. Kaplun, Sujit Kumar Patel, Neetesh Purohit:
Design of low complexity parallel polyphase finite impulse response filter using coefficient symmetry. IET Circuits Devices Syst. 17(1): 29-37 (2023) - [j16]Samir Malakar, Swaraj Sen, Sergei Romanov, Dmitry I. Kaplun, Ram Sarkar:
Role of transfer functions in PSO to select diagnostic attributes for chronic disease prediction: An experimental study. J. King Saud Univ. Comput. Inf. Sci. 35(9): 101757 (2023) - [j15]Pavel A. Lyakhov, Maxim V. Bergerman, Ruslan Abdulkadirov, Albina S. Abdulsalyamova, Nikolay N. Nagornov, Alexander S. Voznesenskiy, Dmitrii V. Minenkov, Dmitrii I. Kaplun:
A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values. Microprocess. Microsystems 102: 104940 (2023) - [c31]Sergei Karpishchenko, Irina Arustamyan, Olga Stancheva, Kirill Sharko, Dmitrii I. Kaplun, Iryna Shpakouskaya:
Prognostic Model in the Diagnosis and Treatment of Isolated Fungal Sphenoiditis. EUSPN/ICTH 2023: 251-257 - [c30]Sergei Karpishchenko, Irina Arustamyan, Olga Stancheva, Dmitrii I. Kaplun:
Sphenoid sinus disease in geriatric patients: an analytical approach. EUSPN/ICTH 2023: 258-266 - [c29]Dmitrii I. Kaplun, Sergei Romanov, Madina T. Ipalakova, Yevgeniya Daineko, Zhiger Bolatov, Dana Tsoy:
Application of immersive technology in a museum. EUSPN/ICTH 2023: 385-390 - [c28]Aleksandr Sinitca, Airat R. Kayumov, Pavel V. Zelenikhin, Andrey G. Porfiriev, Dmitrii I. Kaplun, Mikhail Bogachev:
BCAnalyzer: A Semi-automated Tool for the Rapid Quantification of Cell Monolayer from Microscopic Images in Scratch Assay. IWBBIO (2) 2023: 256-269 - [c27]Dmitry I. Kaplun, Alexander S. Voznesenskiy, Alisa Sufelfa, Vyacheslav G. Rybin, Olga I. Brikova:
Mesh denoising in prosthetics manufacturing applications using average filtering, linear heat diffusion and bilateral filtering. MECO 2023: 1-5 - [c26]Andrey Levkov, Dmitry I. Kaplun, Anastasiia Safonova:
Transfer Learning for Russian Handwriting Recognition. TSP 2023: 272-275 - 2022
- [j14]Anastasiia Safonova, Yousif Hamad, Anna Alekhina, Dmitry I. Kaplun:
Detection of Norway Spruce Trees (Picea Abies) Infested by Bark Beetle in UAV Images Using YOLOs Architectures. IEEE Access 10: 10384-10392 (2022) - [j13]Kandarpa Kumar Sarma, Kunal Kingkar Das, Vikash Mishra, Samadrita Bhuiya, Dmitry I. Kaplun:
Learning Aided System for Agriculture Monitoring Designed Using Image Processing and IoT-CNN. IEEE Access 10: 41525-41536 (2022) - [j12]Alexander S. Voznesenskiy, Denis N. Butusov, Vyacheslav G. Rybin, Dmitry I. Kaplun, Timur I. Karimov, Erivelton Geraldo Nepomuceno:
Denoising Chaotic Signals Using Ensemble Intrinsic Time-Scale Decomposition. IEEE Access 10: 115767-115775 (2022) - [j11]Alexander Chikov, Nikolay Egorov, Dmitry Medvedev, Svetlana Chikova, Evgeniy Pavlov, Pavel Drobintsev, Alexander S. Krasichkov, Dmitry I. Kaplun:
Determination of the athletes' anaerobic threshold using machine learning methods. Biomed. Signal Process. Control. 73: 103414 (2022) - [j10]Petr Fedoseev, Konstantin Zhukov, Dmitry I. Kaplun, Nikita Vybornov, Valery S. Andreev:
Parallelization of Runge-Kutta Methods for Hardware Implementation. Comput. 10(12): 215 (2022) - [j9]Alla Levina, Daniyar Mukhamedjanov, Danil Bogaevskiy, Pavel Alekseevich Lyakhov, Maria V. Valueva, Dmitrii I. Kaplun:
High Performance Parallel Pseudorandom Number Generator on Cellular Automata. Symmetry 14(9): 1869 (2022) - [c25]Vladimir V. Fedorenko, Ulyana A. Lyakhova, Nikolay N. Nagornov, Georgii A. Efimenko, Dmitrii I. Kaplun:
Semantic Segmentation System of Pigmented Skin Lesions Based on Convolutional Neural Networks. MECO 2022: 1-5 - [c24]Pavel Alekseevich Lyakhov, Albina S. Abdulsalyamova, Nataliya Semyonova, Nikolay N. Nagornov, Alexander S. Voznesensky, Dmitrii I. Kaplun:
On the Computational Complexity of 2D Filtering by Winograd Method. MECO 2022: 1-4 - [c23]Nikolay N. Nagornov, Maxim V. Bergerman, Dmitrii V. Minenkov, Dmitrii I. Kaplun:
Comparative Analysis of Various Methods to Circuit Design for DWT with CDF 9/7 Wavelet. MECO 2022: 1-4 - [c22]Anastasiia Safonova, Andrey Levkov, Dmitry I. Kaplun:
ANew Convolutional Neural Network for Recognizing Handwritten Letters of the Russian Alphabet. TSP 2022: 272-275 - 2021
- [j8]Dmitry I. Kaplun, Alexander S. Voznesenskiy, Alexander V. Veligosha, Igor Anatolyevich Kalmykov, Kandarpa Kumar Sarma:
Technique to Adjust Adaptive Digital Filter Coefficients in Residue Number System Based Filters. IEEE Access 9: 82402-82416 (2021) - [j7]Denis N. Butusov, Dmitriy Pesterev, Aleksandra V. Tutueva, Dmitry I. Kaplun, Erivelton G. Nepomuceno:
New technique to quantify chaotic dynamics based on differences between semi-implicit integration schemes. Commun. Nonlinear Sci. Numer. Simul. 92: 105467 (2021) - [c21]Pavel Alekseevich Lyakhov, Maxim V. Bergerman, Nataliya Semyonova, Dmitrij I. Kaplun, Alexander S. Voznesensky:
Design Reverse Converter for Balanced RNS with Three Low-cost Modules. MECO 2021: 1-7 - [c20]Pavel Alekseevich Lyakhov, Maria V. Valueva, Dmitry I. Kaplun, Alexander S. Voznesensky:
A New Method of Sign Detection in RNS Based on Modified Chinese Remainder Theorem. MECO 2021: 1-4 - [c19]Pavel Alekseevich Lyakhov, Georgii V. Valuev, Maria V. Valueva, Dmitry I. Kaplun, Aleksandr Sinitca:
Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination. MECO 2021: 1-4 - 2020
- [j6]Peter G. Boyvalenkov, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nataliya Semyonova, Anton S. Nazarov, Maria V. Valueva, Georgi Boyvalenkov, Danil Bogaevskiy, Dmitry I. Kaplun:
Classification of Moduli Sets for Residue Number System With Special Diagonal Functions. IEEE Access 8: 156104-156116 (2020) - [c18]Tom Menaker, Anna Zamansky, Dirk van der Linden, Dmitry I. Kaplun, Aleksandr Sinitica, Sabrina Karl, Ludwig Huber:
Towards a Methodology for Data-Driven Automatic Analysis of Animal Behavioral Patterns. ACI 2020: 12:1-12:6 - [c17]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nikolay N. Nagornov, Maria V. Valueva, Dmitrii I. Kaplun:
High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System. MECO 2020: 1-4 - [c16]Pavel Alekseevich Lyakhov, Albina S. Abdulsalyamova, Maria R. Kiladze, Dmitrii I. Kaplun, Alexander S. Voznesensky:
Method of Oriented Contour Detection on Image Using Lorentz Function. MECO 2020: 1-4 - [c15]Uliana A. Lyakhova, Pavel Alekseevich Lyakhov, Nikolay I. Chervyakov, Dmitrii I. Kaplun, Alexander S. Voznesensky:
Method for Determining Skin Lesions from Images Using Neural Network. MECO 2020: 1-4
2010 – 2019
- 2019
- [j5]Alexander S. Voznesenskiy, Dmitry I. Kaplun:
Adaptive Signal Processing Algorithms Based on EMD and ITD. IEEE Access 7: 171313-171321 (2019) - [j4]Denis N. Butusov, Artur I. Karimov, Aleksandra Tutueva, Dmitry I. Kaplun, Erivelton G. Nepomuceno:
The Effects of Padé Numerical Integration in Simulation of Conservative Chaotic Systems. Entropy 21(4): 362 (2019) - [j3]Dmitry I. Kaplun, Alexander S. Voznesenskiy, Sergei Romanov, Erivelton Geraldo Nepomuceno, Denis N. Butusov:
Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm. Entropy 21(9): 843 (2019) - [c14]Dmitrij I. Kaplun, Aleksandr Sinitca, Anna Zamansky, Stephane Bleuer-Elsner, Michael Plazner, Asaf Fux, Dirk van der Linden:
Animal Health Informatics: Towards a Generic Framework for Automatic Behavior Analysis Position Paper. HEALTHINF 2019: 436-441 - [c13]Alexander V. Veligosha, Dmitrii I. Kaplun, Alexander S. Voznesenskiy, D. V. Bogaevskiy:
Structural and Informational Diversity of Digital Filters Based on Multivariate Arithmetic of Finite Field. FRUCT 2019: 479-485 - [c12]Anna Zamansky, Aleksandr Sinitca, Dmitry I. Kaplun, Luisa M. L. Dutra, Robert J. Young:
Automatic Estimation of Dog Age: The DogAge Dataset and Challenge. ICANN (3) 2019: 421-426 - [c11]Anna Zamansky, Aleksandr Sinitca, Dmitry I. Kaplun, Michael Plazner, Ivana G. Schork, Robert J. Young, Cristiano S. de Azevedo:
Analysis of Dogs' Sleep Patterns Using Convolutional Neural Networks. ICANN (3) 2019: 472-483 - [c10]Danil V. Bogayevskiy, Sergey N. Ezhov, Dmitrii I. Kaplun, Maxim V. Minenko, Sergei I. Aryashev, Konstantin A. Petrov:
Study of Vector Processor Architectures for Image Processing Using Model Profiling. MECO 2019: 1-4 - [c9]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nikolay N. Nagornov, Dmitrii I. Kaplun, Alexander S. Voznesenskiy, Danil V. Bogayevskiy:
Implementation of Smoothing Image Filtering in the Residue Number System. MECO 2019: 1-4 - [c8]Dmitrii I. Kaplun, Aleksandra V. Tutueva, Denis N. Butusov, Artur I. Karimov, Jaan Toming:
Memristive Circuit Simulation Using the Semi-Implicit Multistep Method. TSP 2019: 98-101 - [c7]Dmitrii I. Kaplun, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Andrey S. Ionisyan, Maria V. Valueva, Vyacheslav V. Gulvanskiy, Rangababu Peesapati:
Hardware Implementation of Video Processing Device using Residue Number System. TSP 2019: 701-704 - 2018
- [c6]Alla Levina, Daniyar Mukhamedjanov, Gleb Ryaskin, Dmitrij I. Kaplun:
Improving pseudorandom generator on cellular automata with bent functions. FedCSIS 2018: 381-385 - [c5]Timur I. Karimov, Denis N. Butusov, Valerii S. Andreev, Vyacheslav G. Rybin, Dmitry I. Kaplun:
Compact Fixed-Point Filter Implementation. FRUCT 2018: 73-78 - [c4]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maria V. Valueva, Georgii V. Valuev, Dmitrii I. Kaplun, George A. Efimenko, Denis V. Gnezdilov:
Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System. FRUCT 2018: 112-118 - [c3]Ivan I. Kanatov, Vyacheslav V. Gulvansky, Dmitrii I. Kaplun:
Method of decrease of discrete Fourier transform sidelobes without window functions. MECO 2018: 1-4 - 2017
- [j2]Dmitry I. Kaplun, Dmitry M. Klionskiy, D. V. Bogaevskiy, V. V. Gulvanskiy, Alexander V. Veligosha, Igor Anatolyevich Kalmykov:
Error correction of digital signal processing devices using non-positional modular codes. Autom. Control. Comput. Sci. 51(3): 167-173 (2017) - [c2]Denis N. Butusov, Timur I. Karimov, Dmitry I. Kaplun, Artur I. Karimov, Yennun Huang, Szu-Chuang Li:
The choice between delta and shift operators for low-precision data representation. FRUCT 2017: 46-52 - [c1]Denis N. Butusov, Timur I. Karimov, Dmitrii I. Kaplun, Artur I. Karimov:
Delta operator filter design for hydroacoustic tasks. MECO 2017: 1-4 - 2015
- [j1]Dmitry M. Klionskiy, Dmitry I. Kaplun, Vyacheslav V. Gulvanskiy, Alexander S. Voznesenskiy:
Simulation of digital filter banks and signal classification in wideband monitoring tasks. Autom. Control. Comput. Sci. 49(5): 303-312 (2015)
Coauthor Index
Pavel A. Lyakhov
aka: Pavel Alekseevich Lyakhov
aka: Pavel Alekseevich Lyakhov
Alexander S. Voznesenskiy
aka: Alexander S. Voznesensky
aka: Alexander S. Voznesensky
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