Dmitrii I. Kaplun

58 papers B 1Misc 2Journal 16Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Lightweight Wavelet Group Equivariant Convolution Neural Network for Medical Image Classification. Int. J. Comput. Intell. Syst. Asfak Ali, Akash Dutta, Dmitrii I. Kaplun, Sergei Romanov, Ram Sarkar
2026	J	`jnl`	A Multi-Task Attention-Driven SegNet for Lung Infection Segmentation and Classification From HRCT Images. IEEE Access Upasana Bhattacharjya, Kandarpa Kumar Sarma, Anchita Kakati, Jyoti Prakash Medhi, Geetanjali Barman, Binoy Kumar Choudhury, Dmitrii I. Kaplun, Alexander S. Voznesensky
2026	J	`jnl`	Computer Vision-Based Medical Imaging Techniques: Past, Present, and Future. IEEE Access Aleksandr Lonchakov, Aleksandr Sinitca, Dmitrii I. Kaplun
2026	J	`jnl`	Entanglement-driven learning-based angle-encoded variational quantum neural network for image classification. Quantum Mach. Intell. Soumyadip Sahoo, Diptarka Mandal, Asfak Ali, Dmitrii I. Kaplun, Sergei Romanov, Ram Sarkar
2025	—	`conf`	A Fast Fourier Transform-Aided Diffusion-Based U-Net Architecture for Microscopic Medical Image Segmentation. DeLTA Saptarshi Pani, Gouranga Maity, Dmitrii I. Kaplun, Alexander S. Voznesensky, Ram Sarkar
2025	—	`conf`	A Frequency-Augmented CBAM Attention-Aided YOLOv8 for Object Detection. IPTA Sayani Dhar, Sourajit Maity, Asfak Ali, Dmitrii I. Kaplun, Daria Sidorina, Ram Sarkar
2025	—	`conf`	A Vehicle Detection Model from Still Images using Modified RT-DETR with Channel and Spatial Attention Modules. MECO Sourajit Maity, Vyacheslav Gulvanskii, Dmitrii I. Kaplun, Ram Sarkar
2025	J	`jnl`	An experimental study of U-net variants on liver segmentation from CT scans. J. Intell. Syst. Akash Halder, Arup Sau, Surya Majumder, Dmitrii I. Kaplun, Ram Sarkar
2025	—	`conf`	CTFP: Contrastive Time-Frequency Pretraining Based Representation Learning of Physiological Signals for Emotion Recognition. ICONIP (3) Asfak Ali, Annada Dash, Dmitrii I. Kaplun, Sergei Romanov, Ram Sarkar
2025	—	`conf`	D3EU-Net: A Diffusion and DeepSeek-aided Dual Encoder-based U-Net Model for Microscopic Medical Image Segmentation. SIPAIM Saptarshi Pani, Asya I. Lyanova, Dmitrii I. Kaplun, Ram Sarkar
2025	—	`conf`	D4-Net: Detecting Deepfakes using a Dual-branch Deep Learner. MRAC@MM Om Karmakar, Sk Mohiuddin, Asfak Ali, Dmitrii I. Kaplun, Sergei Romanov, Ram Sarkar
2025	—	`conf`	DDU-Net: A Dempster-Shafer Theory-Aided Diffusion-Based U-Net Model for Microscopic Medical Image Segmentation. ACPR (2) Saptarshi Pani, Asya I. Lyanova, Dmitrii I. Kaplun, Ram Sarkar
2025	—	`conf`	DFU-Net: A Diffusion-Based Fourier Neural Operator-Aided U-Net Model for Medical Image Segmentation in Edge Devices. ICANN (2) Sanchita Das, Asfak Ali, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar
2025	—	`conf`	DRASU-Net: Dual-Backbone and Residual Atrous Squeeze Module-Aided U-Net Model for Polyp Segmentation. MIUA (3) Utathya Aich, Ritabrata Roy, Alexander Eroshkin, Dmitrii I. Kaplun, Ram Sarkar
2025	—	`conf`	DeepSpace: Navigating the Frontier of Deepfake Identification Using Attention-Driven Xception and a Task-Specific Subspace. VISIGRAPP (2): VISAPP Ayush Roy, Sk Mohiuddin, Maxim V. Minenko, Dmitrii I. Kaplun, Ram Sarkar
2025	—	`conf`	FSTS-Net: A Feature-mixing aided Semi-supervised Teacher-Student Network for Polyp Image Segmentation. SIPAIM Ritabrata Roy, Utathya Aich, Asya I. Lyanova, Dmitrii I. Kaplun, Ram Sarkar
2025	B	`conf`	Fusion of Vision and Text Features for Breast Cancer Classification Using a Few-Shot Approach. CBMS Saptarshi Pani, Gouranga Maity, Irina I. Shpakovskaya, Dmitrii I. Kaplun, Ram Sarkar
2025	—	`conf`	Non-cooperative Game Theory-Aided Learning of CNN Models for Skin Lesion Classification. DeLTA Diptarka Mandal, Sujan Sarkar, Siddhant Majumder, Dmitrii I. Kaplun, Daria Sidorina, Ram Sarkar
2025	J	`jnl`	TPRepair: Tree-based Pipelined Repair in Clustered Storage Systems. ACM Trans. Archit. Code Optim. Jiahui Yang, Fulin Nan, Zhirong Shen, Zhisheng Chen, Yuhui Cai, Dmitrii I. Kaplun, Xiaoli Wang, Quanqing Xu, Chuanhui Yang, Jiwu Shu
2025	—	`conf`	VEGAN: A Vision-language and Edge-enhanced GAN-based Microscopic Medical Image Segmentation Model. MECO Gouranga Maity, Souvik Pramanik, Diptarka Mandal, Dmitrii I. Kaplun, Vyacheslav Gulvanskii, Ram Sarkar
2024	—	`conf`	A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-Based Feature Fusion. ISBI Ayush Roy, Sujan Sarkar, Sohom Ghosal, Dmitrii I. Kaplun, Asya I. Lyanova, Ram Sarkar
2024	J	`jnl`	AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images. CoRR Ayush Roy, Payel Pramanik, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar
2024	J	`jnl`	Achieving Tunable Erasure Coding with Cluster-Aware Redundancy Transitioning. ACM Trans. Archit. Code Optim. Feng Zhang, Fulin Nan, Binbin Xu, Zhirong Shen, Jiebin Zhai, Dmitrii I. Kaplun, Jiwu Shu
2024	—	`conf`	Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images. ISBI Ayush Roy, Payel Pramanik, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar
2024	—	`conf`	BFuse-Net: Bonferroni Mean Operator-Aided Fusion of Neural Networks for Medical Image Classification. MICAD Triyas Ghosh, Soham Chakraborty, Dmitrii I. Kaplun, Vyacheslav Gulvanskii, Ram Sarkar
2024	—	`conf`	Calibration Algorithm for a 3D Scanner Based on 2D Lidar and Visible Light Cameras. MECO Vyacheslav Gulvanskii, Maxim V. Minenko, Georgii Gavrilov, Lev Bratchenko, Dmitrii I. Kaplun, Zhirong Shen
2024	—	`conf`	EDB-Net: An Edge-Guided Dual-Branch Neural Network for Skin Cancer Classification. ICPR (28) Amartya Ray, Soumyajit Gayen, Dmitrii I. Kaplun, Ram Sarkar
2024	—	`conf`	Effective Hardware Implementation of Convolution with Binary Sequences. MECO Dmitrii V. Minenkov, Alexander S. Voznesensky, Dianhui Wang, Dmitrii I. Kaplun
2024	—	`conf`	GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation. MIUA (1) Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitrii I. Kaplun, Ram Sarkar
2024	J	`jnl`	Instance Segmentation and Teeth Classification in Panoramic X-rays. CoRR 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
2024	—	`conf`	Oral Cancer Classification Using a Hybrid Attention-Aided Deep Learning Model. MICAD Srinjan Dutta, Jibesh Roy, Diptarka Mandal, Dmitrii I. Kaplun, Irina I. Shpakovskaya, Ram Sarkar
2024	—	`conf`	Skin Lesion Classification using a Decentralized Peer-to-Peer Federated Learning Framework. SIPAIM Sujan Sarkar, Siddhant Majumder, Diptarka Mandal, Vyacheslav Gulvanskii, Dmitrii I. Kaplun, Ram Sarkar
2024	—	`conf`	Using a Shape from Polarization to Determine the 3D Surface of Objects with Thermal Radiation. MECO Vyacheslav Gulvanskii, Maxim V. Minenko, Georgii Gavrilov, Lev Bratchenko, Dmitrii I. Kaplun, Oleg Zhavoronkov
2023	J	`jnl`	A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values. Microprocess. Microsystems Pavel A. Lyakhov, Maxim V. Bergerman, Ruslan Abdulkadirov, Albina S. Abdulsalyamova, Nikolay N. Nagornov, Alexander S. Voznesenskiy, Dmitrii V. Minenkov, Dmitrii I. Kaplun
2023	—	`conf`	Application of immersive technology in a museum. EUSPN/ICTH Dmitrii I. Kaplun, Sergei Romanov, Madina T. Ipalakova, Yevgeniya A. Daineko, Zhiger Bolatov, Dana Tsoy
2023	—	`conf`	BCAnalyzer: A Semi-automated Tool for the Rapid Quantification of Cell Monolayer from Microscopic Images in Scratch Assay. IWBBIO (2) Aleksandr Sinitca, Airat R. Kayumov, Pavel V. Zelenikhin, Andrey G. Porfiriev, Dmitrii I. Kaplun, Mikhail Bogachev
2023	J	`jnl`	Design of low complexity parallel polyphase finite impulse response filter using coefficient symmetry. IET Circuits Devices Syst. Konudula Anjali Rao, Abhishek Kumar, Dmitrii I. Kaplun, Sujit Kumar Patel, Neetesh Purohit
2023	J	`jnl`	Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders. Frontiers Neuroinformatics Dmitrii I. Kaplun, Mikhail Bogachev, Pawan Kumar Singh, Ram Sarkar
2023	—	`conf`	Prognostic Model in the Diagnosis and Treatment of Isolated Fungal Sphenoiditis. EUSPN/ICTH Sergei Karpishchenko, Irina Arustamyan, Olga Stancheva, Kirill Sharko, Dmitrii I. Kaplun, Iryna Shpakouskaya
2023	J	`jnl`	Residue number systems with six modules and efficient circuits based on power-of-two diagonal modulus. Comput. Electr. Eng. Peter G. Boyvalenkov, Pavel A. Lyakhov, Nataliya Semyonova, Maria V. Valueva, Georgi Boyvalenkov, Dmitrii V. Minenkov, Dmitrii I. Kaplun
2023	J	`jnl`	Segmentation of patchy areas in biomedical images based on local edge density estimation. Biomed. Signal Process. Control. Aleksandr M. Sinitca, Airat R. Kayumov, Pavel V. Zelenikhin, Andrey G. Porfiriev, Dmitrii I. Kaplun, Mikhail I. Bogachev
2023	—	`conf`	Sphenoid sinus disease in geriatric patients: an analytical approach. EUSPN/ICTH Sergei Karpishchenko, Irina Arustamyan, Olga Stancheva, Dmitrii I. Kaplun
2023	J	`jnl`	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. 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
2022	—	`conf`	Comparative Analysis of Various Methods to Circuit Design for DWT with CDF 9/7 Wavelet. MECO Nikolay N. Nagornov, Maxim V. Bergerman, Dmitrii V. Minenkov, Dmitrii I. Kaplun
2022	J	`jnl`	High Performance Parallel Pseudorandom Number Generator on Cellular Automata. Symmetry Alla Levina, Daniyar Mukhamedjanov, Danil Bogaevskiy, Pavel Alekseevich Lyakhov, Maria V. Valueva, Dmitrii I. Kaplun
2022	—	`conf`	On the Computational Complexity of 2D Filtering by Winograd Method. MECO Pavel Alekseevich Lyakhov, Albina S. Abdulsalyamova, Nataliya Semyonova, Nikolay N. Nagornov, Alexander S. Voznesensky, Dmitrii I. Kaplun
2022	—	`conf`	Semantic Segmentation System of Pigmented Skin Lesions Based on Convolutional Neural Networks. MECO Vladimir V. Fedorenko, Ulyana A. Lyakhova, Nikolay N. Nagornov, Georgii A. Efimenko, Dmitrii I. Kaplun
2020	—	`conf`	High-Performance Hardware 3D Medical Imaging using Wavelets in the Residue Number System. MECO Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nikolay N. Nagornov, Maria V. Valueva, Dmitrii I. Kaplun
2020	—	`conf`	Method for Determining Skin Lesions from Images Using Neural Network. MECO Uliana A. Lyakhova, Pavel Alekseevich Lyakhov, Nikolay I. Chervyakov, Dmitrii I. Kaplun, Alexander S. Voznesensky
2020	—	`conf`	Method of Oriented Contour Detection on Image Using Lorentz Function. MECO Pavel Alekseevich Lyakhov, Albina S. Abdulsalyamova, Maria R. Kiladze, Dmitrii I. Kaplun, Alexander S. Voznesensky
2019	—	`conf`	Hardware Implementation of Video Processing Device using Residue Number System. TSP Dmitrii I. Kaplun, Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Andrey S. Ionisyan, Maria V. Valueva, Vyacheslav V. Gulvanskiy, Rangababu Peesapati
2019	—	`conf`	Implementation of Smoothing Image Filtering in the Residue Number System. MECO Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Nikolay N. Nagornov, Dmitrii I. Kaplun, Alexander S. Voznesenskiy, Danil V. Bogayevskiy
2019	—	`conf`	Memristive Circuit Simulation Using the Semi-Implicit Multistep Method. TSP Dmitrii I. Kaplun, Aleksandra V. Tutueva, Denis N. Butusov, Artur I. Karimov, Jaan Toming
2019	Misc	`conf`	Structural and Informational Diversity of Digital Filters Based on Multivariate Arithmetic of Finite Field. FRUCT Alexander V. Veligosha, Dmitrii I. Kaplun, Alexander S. Voznesenskiy, D. V. Bogaevskiy
2019	—	`conf`	Study of Vector Processor Architectures for Image Processing Using Model Profiling. MECO Danil V. Bogayevskiy, Sergey N. Ezhov, Dmitrii I. Kaplun, Maxim V. Minenko, Sergei I. Aryashev, Konstantin A. Petrov
2018	Misc	`conf`	Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System. FRUCT Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maria V. Valueva, Georgii V. Valuev, Dmitrii I. Kaplun, George A. Efimenko, Denis V. Gnezdilov
2018	—	`conf`	Method of decrease of discrete Fourier transform sidelobes without window functions. MECO Ivan I. Kanatov, Vyacheslav V. Gulvansky, Dmitrii I. Kaplun
2017	—	`conf`	Delta operator filter design for hydroacoustic tasks. MECO Denis N. Butusov, Timur I. Karimov, Dmitrii I. Kaplun, Artur I. Karimov