| 2025 | MICCAI | Longitudinal Anatomical Attention Maps for Recognizing Diagnostic Errors from Radiologists' Eye Movements. | Anna Anikina, Diliara Ibragimova, Tamerlan Mustafaev, Claudia Mello-Thoms, Bulat Ibragimov |
| 2025 | MICCAI | PiMPiC: An Overlap-Aware Contrastive Learning Framework for 3D Patch-Based Medical Image Segmentation. | Reza Karimzadeh, Ehsan Yousefzadeh-Asl-Miandoab, Hossein Arabi, Pinar Tzn, Bulat Ibragimov |
| 2024 | ICML | Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks. | Bjrn Leth Mller, Christian Igel, Kristoffer Knutsen Wickstrm, Jon Sporring, Robert Jenssen, Bulat Ibragimov |
| 2024 | KDD | Learn Together Stop Apart: An Inclusive Approach to Ensemble Pruning. | Bulat Ibragimov, Gleb Gusev |
| 2024 | KDD | Uplift Modelling via Gradient Boosting. | Bulat Ibragimov, Anton Vakhrushev |
| 2024 | MICCAI | Prediction of Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and Gaze-Guided Transformers. | Anna Anikina, Reza Karimzadeh, Diliara Ibragimova, Tamerlan Mustafaev, Claudia Mello-Thoms, Bulat Ibragimov |
| 2023 | CEC | Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data. | Ilya Pershin, Tamerlan Mustafaev, Bulat Ibragimov |
| 2023 | EMNLP | Cross-Modal Conceptualization in Bottleneck Models. | Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov |
| 2023 | MICCAI | Assignment Theory-Augmented Neural Network for Dental Arch Labeling. | Tudor Dascalu, Bulat Ibragimov |
| 2023 | MICCAI | Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk. | Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec |
| 2022 | AIME | NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. | Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh |
| 2022 | CEC | Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling. | Elena Kornaeva, Alexey Kornaev, Alexander Fetisov, Ivan Stebakov, Bulat Ibragimov |
| 2022 | ISDA | AI-Based Extraction of Radiologists Gaze Patterns Corresponding to Lung Regions. | Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov |
| 2022 | MICCAI | Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization. | Qiushi Yang, Xinyu Liu, Zhen Chen, Bulat Ibragimov, Yixuan Yuan |
| 2020 | ICANN | Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography. | Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov |
| 2020 | MICCAI | Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution. | Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan |
| 2018 | MICCAI | Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. | Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing |
| 2018 | MICCAI | RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. | Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing |
| 2015 | MICCAI | Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor. | Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec |