| 2026 | ICPR | QSFL: A Quasi-Sequential Federated Learning Framework with Performance-Aware Aggregation. | Utathya Aich, Soham Neogi, Antariksh Sengupta, Hrishikesh Bhanja, Vyacheslav Gulvanskii, Dmitrii I. Kaplun, Ram Sarkar |
| 2025 | CBMS | Fusion of Vision and Text Features for Breast Cancer Classification Using a Few-Shot Approach. | Saptarshi Pani, Gouranga Maity, Irina I. Shpakovskaya, Dmitrii I. Kaplun, Ram Sarkar |
| 2025 | ICANN | DFU-Net: A Diffusion-Based Fourier Neural Operator-Aided U-Net Model for Medical Image Segmentation in Edge Devices. | Sanchita Das, Asfak Ali, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar |
| 2025 | ICONIP | CTFP: Contrastive Time-Frequency Pretraining Based Representation Learning of Physiological Signals for Emotion Recognition. | Asfak Ali, Annada Dash, Dmitrii I. Kaplun, Sergei Romanov, Ram Sarkar |
| 2025 | VISIGRAPP | DeepSpace: Navigating the Frontier of Deepfake Identification Using Attention-Driven Xception and a Task-Specific Subspace. | Ayush Roy, Sk Mohiuddin, Maxim V. Minenko, Dmitrii I. Kaplun, Ram Sarkar |
| 2024 | ICPR | EDB-Net: An Edge-Guided Dual-Branch Neural Network for Skin Cancer Classification. | Amartya Ray, Soumyajit Gayen, Dmitrii I. Kaplun, Ram Sarkar |
| 2023 | EUSPN | Application of immersive technology in a museum. | Dmitrii I. Kaplun, Sergei Romanov, Madina T. Ipalakova, Yevgeniya A. Daineko, Zhiger Bolatov, Dana Tsoy |
| 2023 | EUSPN | Prognostic Model in the Diagnosis and Treatment of Isolated Fungal Sphenoiditis. | Sergei Karpishchenko, Irina Arustamyan, Olga Stancheva, Kirill Sharko, Dmitrii I. Kaplun, Iryna Shpakouskaya |
| 2023 | EUSPN | Sphenoid sinus disease in geriatric patients: an analytical approach. | Sergei Karpishchenko, Irina Arustamyan, Olga Stancheva, Dmitrii I. Kaplun |
| 2019 | FRUCT | Structural and Informational Diversity of Digital Filters Based on Multivariate Arithmetic of Finite Field. | Alexander V. Veligosha, Dmitrii I. Kaplun, Alexander S. Voznesenskiy, D. V. Bogaevskiy |
| 2018 | FRUCT | Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System. | Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maria V. Valueva, Georgii V. Valuev, Dmitrii I. Kaplun, George A. Efimenko, Denis V. Gnezdilov |