Bulat Ibragimov
Orcid: 0000-0001-7739-7788
According to our database1,
Bulat Ibragimov
authored at least 60 papers
between 2011 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, June, 2024
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.
Medical Image Anal., 2024
Artificial Neural Networks as a Natural Tool in Solution of Variational Problems in Hydrodynamics.
IEEE Access, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Changes in Radiologists' Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment.
J. Digit. Imaging, June, 2023
A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays.
CoRR, 2023
Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access.
IEEE Access, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns.
IEEE J. Biomed. Health Informatics, 2022
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification.
Medical Image Anal., 2022
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time Augmentation.
CoRR, 2022
AI-based analysis of radiologist's eye movements for fatigue estimation: a pilot study on chest X-rays.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
Segmentation of Organs-At-Risk from Ct and Mr Images of the Head and Neck: Baseline Results.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization.
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists.
IEEE J. Biomed. Health Informatics, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2020
Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition.
IEEE Trans Autom. Sci. Eng., 2020
Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation.
Neurocomputing, 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow.
Biomed. Signal Process. Control., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.
IEEE J. Biomed. Health Informatics, 2019
Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database.
Comput. Electr. Eng., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Learning deconvolutional deep neural network for high resolution medical image reconstruction.
Inf. Sci., 2018
RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
IEEE Trans. Medical Imaging, 2017
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.
Medical Image Anal., 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
2016
Medical Image Anal., 2016
Comput. Medical Imaging Graph., 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge.
IEEE Trans. Medical Imaging, 2015
A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation.
IEEE Trans. Medical Imaging, 2015
Medical Image Anal., 2015
Optimal reinforcement of training datasets in semi-supervised landmark-based segmentation.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015
2014
IEEE Trans. Medical Imaging, 2014
2013
Statistical shape representation with landmark clustering by solving the assignment problem.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
2012
IEEE Trans. Medical Imaging, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
2011
Boundary detection by linear programming with application to lung fields segmentation.
Proceedings of the Medical Imaging 2011: Image Processing, 2011