Bulat Ibragimov

According to our database, Bulat Ibragimov authored at least 58 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review.

Bulat Ibragimov, Claudia Mello-Thoms

IEEE J. Biomed. Health Informatics, June, 2024

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.

Evi M. C. Huijben, Maarten L. Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Peter Koopmans, Manya Afonso, Maureen A. J. M. van Eijnatten, Oliver J. Gurney-Champion, Zeli Chen, Yiwen Zhang, Kaiyi Zheng, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero

Medical Image Anal., 2024

Uplift Modelling via Gradient Boosting.

Bulat Ibragimov, Anton Vakhrushev

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learn Together Stop Apart: An Inclusive Approach to Ensemble Pruning.

Bulat Ibragimov, Gleb Gusev

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.

Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov

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.

Ilya Pershin, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov

J. Digit. Imaging, June, 2023

A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays.

Tudor Dascalu, Shaqayeq Ramezanzade, Azam Bakhshandeh, Lars Bjorndal, Bulat Ibragimov

CoRR, 2023

3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge.

Achraf Ben-Hamadou, Oussama Smaoui, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Hoyeon Lim, Minchang Kim, Minkyung Lee, Minyoung Chung, Yeong-Gil Shin, Mathieu Leclercq, Lucia H. S. Cevidanes, Juan Carlos Prieto, Shaojie Zhuang, Guangshun Wei, Zhiming Cui, Yuanfeng Zhou, Tudor Dascalu, Bulat Ibragimov, Tae-Hoon Yong, Hong-Gi Ahn, Wan Kim, Jae-Hwan Han, Byungsun Choi, Niels van Nistelrooij, Steven Kempers, Shankeeth Vinayahalingam, Julien Strippoli, Aurélien Thollot, Hugo Setbon, Cyril Trosset, Edouard Ladroit

CoRR, 2023

Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access.

Bulat Ibragimov, Janet Zhen, Elif Ayvali

IEEE Access, 2023

Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk.

Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Assignment Theory-Augmented Neural Network for Dental Arch Labeling.

Tudor Dascalu, Bulat Ibragimov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Cross-Modal Conceptualization in Bottleneck Models.

Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data.

Ilya Pershin, Tamerlan Mustafaev, Bulat Ibragimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns.

Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov

IEEE J. Biomed. Health Informatics, 2022

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification.

Imad Eddine Ibrahim Bekkouch, Bulat Maksudov, Semen Kiselev, Tamerlan Mustafaev, Tomaz Vrtovec, Bulat Ibragimov

Medical Image Anal., 2022

Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time Augmentation.

Sepideh Amiri, Bulat Ibragimov

CoRR, 2022

AI-based analysis of radiologist's eye movements for fatigue estimation: a pilot study on chest X-rays.

Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov

Proceedings of the Medical Imaging 2022: Image Perception, 2022

Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis.

Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Gaze-based attention to improve the classification of lung diseases.

Maksim Kholiavchenko, Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Yixuan Yuan, Bulat Ibragimov

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Benefits of auxiliary information in deep learning-based teeth segmentation.

Tudor Dascalu, Artem Kuznetsov, Bulat Ibragimov

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization.

Qiushi Yang, Xinyu Liu, Zhen Chen, Bulat Ibragimov, Yixuan Yuan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

AI-Based Extraction of Radiologists Gaze Patterns Corresponding to Lung Regions.

Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov

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.

Gasper Podobnik, Bulat Ibragimov, Primoz Strojan, Primoz Peterlin, Tomaz Vrtovec

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.

Elena Kornaeva, Alexey Kornaev, Alexander Fetisov, Ivan Stebakov, Bulat Ibragimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization.

Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation.

Chen Yang, Xiaoqing Guo, Meilu Zhu, Bulat Ibragimov, Yixuan Yuan

IEEE J. Biomed. Health Informatics, 2021

Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists.

Alexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Bulat Ibragimov

IEEE J. Biomed. Health Informatics, 2021

Adversarial Reconstruction Loss for Domain Generalization.

Imad Eddine Ibrahim Bekkouch, Dragos Constantin Nicolae, Adil Khan, S. M. Ahsan Kazmi, Asad Masood Khattak, Bulat Ibragimov

IEEE Access, 2021

Multi-agent shape models for hip landmark detection in MR scans.

Imad Eddine Ibrahim Bekkouch, Tamerlan Aidinovich, Tomaz Vrtovec, Ramil Kuleev, Bulat Ibragimov

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.

Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q.-H. Meng, Lei Xing

IEEE Trans Autom. Sci. Eng., 2020

Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation.

Bulat Ibragimov, Diego A. S. Toesca, Daniel T. Chang, Yixuan Yuan, Albert C. Koong, Lei Xing

Neurocomputing, 2020

Contour-aware multi-label chest X-ray organ segmentation.

Maksym Kholiavchenko, Ilyas Sirazitdinov, Konstantin Kubrak, R. Badrutdinova, Ramil Kuleev, Yixuan Yuan, Tomaz Vrtovec, Bulat Ibragimov

Int. J. Comput. Assist. Radiol. Surg., 2020

Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow.

Hui Liu, Yuxiu Lin, Bulat Ibragimov, Caiming Zhang

Biomed. Signal Process. Control., 2020

Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution.

Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan

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.

Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov

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.

Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing

IEEE J. Biomed. Health Informatics, 2019

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database.

Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Yixuan Yuan, Ramil Kuleev, Bulat Ibragimov

Comput. Electr. Eng., 2019

Minimal Variance Sampling in Stochastic Gradient Boosting.

Bulat Ibragimov, Gleb Gusev

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Data Augmentation for Chest Pathologies Classification.

Ilyas Sirazitdinov, Maksym Kholiavchenko, Ramil Kuleev, Bulat Ibragimov

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Learning deconvolutional deep neural network for high resolution medical image reconstruction.

Hui Liu, Jun Xu, Yan Wu, Qiang Guo, Bulat Ibragimov, Lei Xing

Inf. Sci., 2018

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

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.

Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Segmentation of Pathological Structures by Landmark-Assisted Deformable Models.

Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Lei Xing, Tomaz Vrtovec

IEEE Trans. Medical Imaging, 2017

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.

Guoyan Zheng, Chengwen Chu, Daniel L. Belavy, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Hugo Hutt, Richard M. Everson, Judith Meakin, Isabel Lopez Andrade, Ben Glocker, Hao Chen, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Daniel Forsberg, Ales Neubert, Jurgen Fripp, Martin Urschler, Darko Stern, Maria Wimmer

Medical Image Anal., 2017

Intervertebral disc segmentation in MR images with 3D convolutional networks.

Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016

A benchmark for comparison of dental radiography analysis algorithms.

Ching-Wei Wang, Cheng-Ta Huang, Jia-Hong Lee, Chung-Hsing Li, Sheng-Wei Chang, Ming-Jhih Siao, Tat-Ming Lai, Bulat Ibragimov, Tomaz Vrtovec, Olaf Ronneberger, Philipp Fischer, Timothy F. Cootes, Claudia Lindner

Medical Image Anal., 2016

A multi-center milestone study of clinical vertebral CT segmentation.

Jianhua Yao, Joseph E. Burns, Daniel Forsberg, Alexander Seitel, Abtin Rasoulian, Purang Abolmaesumi, Kerstin Hammernik, Martin Urschler, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Isaac Castro-Mateos, Jose M. Pozo, Alejandro F. Frangi, Ronald M. Summers, Shuo Li

Comput. Medical Imaging Graph., 2016

Accurate landmark-based segmentation by incorporating landmark misdetections.

Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

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.

Ching-Wei Wang, Cheng-Ta Huang, Meng-Che Hsieh, Chung-Hsing Li, Sheng-Wei Chang, Wei-Cheng Li, Remy Vandaele, Raphaël Marée, Sébastien Jodogne, Pierre Geurts, Cheng Chen, Guoyan Zheng, Chengwen Chu, Hengameh Mirzaalian, Ghassan Hamarneh, Tomaz Vrtovec, Bulat Ibragimov

IEEE Trans. Medical Imaging, 2015

A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation.

Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

IEEE Trans. Medical Imaging, 2015

Segmentation of tongue muscles from super-resolution magnetic resonance images.

Bulat Ibragimov, Jerry L. Prince, Emi Z. Murano, Jonghye Woo, Maureen L. Stone, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

Medical Image Anal., 2015

Optimal reinforcement of training datasets in semi-supervised landmark-based segmentation.

Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

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.

Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015

2014

Shape Representation for Efficient Landmark-Based Segmentation in 3-D.

Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

IEEE Trans. Medical Imaging, 2014

2013

Statistical shape representation with landmark clustering by solving the assignment problem.

Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

Proceedings of the Medical Imaging 2013: Image Processing, 2013

2012

A Game-Theoretic Framework for Landmark-Based Image Segmentation.

Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

IEEE Trans. Medical Imaging, 2012

Automated measurement of anterior and posterior acetabular sector angles.

Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011

Boundary detection by linear programming with application to lung fields segmentation.

Bulat Ibragimov, Bostjan Likar, Franjo Pernus

Proceedings of the Medical Imaging 2011: Image Processing, 2011