Bulat Ibragimov

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 50

Top Topics

Medical Imaging

Top Venues

Medical Imaging: Image Processing

Medical Image Anal.

IEEE J. Biomed. Health Informatics

Publications

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
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 97 (2024)
Bulat Ibragimov, Anton Vakhrushev
Uplift Modelling via Gradient Boosting. KDD (2024)
Bulat Ibragimov, Claudia Mello-Thoms
The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Bulat Ibragimov, Gleb Gusev
Learn Together Stop Apart: An Inclusive Approach to Ensemble Pruning. KDD (2024)
Bulat Ibragimov, Janet Zhen, Elif Ayvali
Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access. IEEE Access 11 (2023)
Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec
Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk. MICCAI (4) (2023)
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 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
3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge. CoRR (2023)
Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov
Cross-Modal Conceptualization in Bottleneck Models. CoRR (2023)
Ilya Pershin, Tamerlan Mustafaev, Bulat Ibragimov
Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data. CEC (2023)
Tudor Dascalu, Bulat Ibragimov
Assignment Theory-Augmented Neural Network for Dental Arch Labeling. MICCAI (3) (2023)
Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov
Cross-Modal Conceptualization in Bottleneck Models. EMNLP (2023)
Ilya Pershin, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov
Changes in Radiologists' Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment. J. Digit. Imaging 36 (3) (2023)
Tudor Dascalu, Shaqayeq Ramezanzade, Azam Bakhshandeh, Lars Bjorndal, Bulat Ibragimov
A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays. CoRR (2023)
Sepideh Amiri, Bulat Ibragimov
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time Augmentation. CoRR (2022)
Imad Eddine Ibrahim Bekkouch, Bulat Maksudov, Semen Kiselev, Tamerlan Mustafaev, Tomaz Vrtovec, Bulat Ibragimov
Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification. Medical Image Anal. 78 (2022)
Gasper Podobnik, Bulat Ibragimov, Primoz Strojan, Primoz Peterlin, Tomaz Vrtovec
Segmentation of Organs-At-Risk from Ct and Mr Images of the Head and Neck: Baseline Results. ISBI (2022)
Qiushi Yang, Xinyu Liu, Zhen Chen, Bulat Ibragimov, Yixuan Yuan
Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization. MICCAI (8) (2022)
Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov
Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns. IEEE J. Biomed. Health Informatics 26 (9) (2022)
Tudor Dascalu, Artem Kuznetsov, Bulat Ibragimov
Benefits of auxiliary information in deep learning-based teeth segmentation. Medical Imaging: Image Processing (2022)
Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. AIME (2022)
Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. CoRR (2022)
Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec
Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis. Medical Imaging: Image Processing (2022)
Maksim Kholiavchenko, Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Yixuan Yuan, Bulat Ibragimov
Gaze-based attention to improve the classification of lung diseases. Medical Imaging: Image Processing (2022)
Elena Kornaeva, Alexey Kornaev, Alexander Fetisov, Ivan Stebakov, Bulat Ibragimov
Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling. CEC (2022)
Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov
AI-based analysis of radiologist's eye movements for fatigue estimation: a pilot study on chest X-rays. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov
AI-Based Extraction of Radiologists Gaze Patterns Corresponding to Lung Regions. ISDA (3) (2022)
Chen Yang, Xiaoqing Guo, Meilu Zhu, Bulat Ibragimov, Yixuan Yuan
Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Alexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Bulat Ibragimov
Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Imad Eddine Ibrahim Bekkouch, Dragos Constantin Nicolae, Adil Khan, S. M. Ahsan Kazmi, Asad Masood Khattak, Bulat Ibragimov
Adversarial Reconstruction Loss for Domain Generalization. IEEE Access 9 (2021)
Imad Eddine Ibrahim Bekkouch, Tamerlan Aidinovich, Tomaz Vrtovec, Ramil Kuleev, Bulat Ibragimov
Multi-agent shape models for hip landmark detection in MR scans. Medical Imaging: Image Processing (2021)
Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan
Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution. MICCAI (5) (2020)
Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q.-H. Meng, Lei Xing
Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
Hui Liu, Yuxiu Lin, Bulat Ibragimov, Caiming Zhang
Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow. Biomed. Signal Process. Control. 62 (2020)
Bulat Ibragimov, Diego A. S. Toesca, Daniel T. Chang, Yixuan Yuan, Albert C. Koong, Lei Xing
Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. Neurocomputing 392 (2020)
Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov
Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography. ICANN (1) (2020)
Maksym Kholiavchenko, Ilyas Sirazitdinov, Konstantin Kubrak, R. Badrutdinova, Ramil Kuleev, Yixuan Yuan, Tomaz Vrtovec, Bulat Ibragimov
Contour-aware multi-label chest X-ray organ segmentation. Int. J. Comput. Assist. Radiol. Surg. 15 (3) (2020)
Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Yixuan Yuan, Ramil Kuleev, Bulat Ibragimov
Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database. Comput. Electr. Eng. 78 (2019)
Bulat Ibragimov, Gleb Gusev
Minimal Variance Sampling in Stochastic Gradient Boosting. CoRR (2019)
Bulat Ibragimov, Gleb Gusev
Minimal Variance Sampling in Stochastic Gradient Boosting. NeurIPS (2019)
Ilyas Sirazitdinov, Maksym Kholiavchenko, Ramil Kuleev, Bulat Ibragimov
Data Augmentation for Chest Pathologies Classification. ISBI (2019)
Hui Liu, Jun Xu, Yan Wu, Qiang Guo, Bulat Ibragimov, Lei Xing
Learning deconvolutional deep neural network for high resolution medical image reconstruction. Inf. Sci. 468 (2018)
Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. MICCAI (2) (2018)
Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing
RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. MICCAI (2) (2018)
Guoyan Zheng, Chengwen Chu, Daniel 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
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35 (2017)
Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
Intervertebral disc segmentation in MR images with 3D convolutional networks. Medical Imaging: Image Processing (2017)
Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Lei Xing, Tomaz Vrtovec
Segmentation of Pathological Structures by Landmark-Assisted Deformable Models. IEEE Trans. Medical Imaging 36 (7) (2017)
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
A multi-center milestone study of clinical vertebral CT segmentation. Comput. Medical Imaging Graph. 49 (2016)
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
A benchmark for comparison of dental radiography analysis algorithms. Medical Image Anal. 31 (2016)
Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
Accurate landmark-based segmentation by incorporating landmark misdetections. ISBI (2016)
Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor. CSI@MICCAI (2015)
Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation. IEEE Trans. Medical Imaging 34 (8) (2015)
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
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Trans. Medical Imaging 34 (9) (2015)
Bulat Ibragimov, Jerry L. Prince, Emi Z. Murano, Jonghye Woo, Maureen L. Stone, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
Segmentation of tongue muscles from super-resolution magnetic resonance images. Medical Image Anal. 20 (1) (2015)
Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
Optimal reinforcement of training datasets in semi-supervised landmark-based segmentation. Medical Imaging: Image Processing (2015)
Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
Shape Representation for Efficient Landmark-Based Segmentation in 3-D. IEEE Trans. Medical Imaging 33 (4) (2014)
Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
Statistical shape representation with landmark clustering by solving the assignment problem. Medical Imaging: Image Processing (2013)
Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
Automated measurement of anterior and posterior acetabular sector angles. Medical Imaging: Computer-Aided Diagnosis (2012)
Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
A Game-Theoretic Framework for Landmark-Based Image Segmentation. IEEE Trans. Medical Imaging 31 (9) (2012)
Bulat Ibragimov, Bostjan Likar, Franjo Pernus
Boundary detection by linear programming with application to lung fields segmentation. Medical Imaging: Image Processing (2011)