Bulat Ibragimov

79 papers A* 5B 11Journal 44Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	GPU Memory and Utilization Estimation for Training-Aware Resource Management: Opportunities and Limitations. EuroMLSys@EuroSys Ehsan Yousefzadeh-Asl-Miandoab, Reza Karimzadeh, Danyal Yorulmaz, Bulat Ibragimov, Pinar Tözün
2026	J	`jnl`	GPU Memory and Utilization Estimation for Training-Aware Resource Management: Opportunities and Limitations. CoRR Ehsan Yousefzadeh-Asl-Miandoab, Reza Karimzadeh, Danyal Yorulmaz, Bulat Ibragimov, Pinar Tözün
2026	J	`jnl`	MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models. CoRR Shengyuan Liu, Zanting Ye, Yunrui Lin, Chen Hu, Wanting Geng, Xu Han, Bulat Ibragimov, Yefeng Zheng, Yixuan Yuan
2025	J	`jnl`	Automatic Calculation of Cardiometric Coefficients on Chest X-Ray Images. IEEE Access Alexey Kornaev, Dmitry Lvov, Ilya Pershin, Semen Kiselev, Danil Afonchikov, Iskander Bariev, Bulat Ibragimov
2025	J	`jnl`	CARMA: Collocation-Aware Resource Manager with GPU Memory Estimator. CoRR Ehsan Yousefzadeh-Asl-Miandoab, Reza Karimzadeh, Bulat Ibragimov, Florina M. Ciorba, Pinar Tözün
2025	J	`jnl`	DentAssignNet: Assignment Network for Dental Cast Labeling in the Presence of Dental Abnormalities. IEEE J. Biomed. Health Informatics Tudor Dascalu, Shaqayeq Ramezanzade, Azam Bakhshandeh, Lars Bjorndal, Raluca Iurcov, Tomaz Vrtovec, Bulat Ibragimov
2025	J	`jnl`	Extremal Contours: Gradient-driven contours for compact visual attribution. CoRR Reza Karimzadeh, Albert Alonso, Frans Zdyb, Julius B. Kirkegaard, Bulat Ibragimov
2025	J	`jnl`	Gaze Assistance for Efficient Segmentation Correction of Medical Images. IEEE Access Leila Khaertdinova, Tatiana Shmykova, Ilya Pershin, Andrey Laryukov, Albert Khanov, Damir Zidikhanov, Bulat Ibragimov
2025	—	`conf`	Longitudinal Anatomical Attention Maps for Recognizing Diagnostic Errors from Radiologists' Eye Movements. MICCAI (7) Anna Anikina, Diliara Ibragimova, Tamerlan Mustafaev, Claudia Mello-Thoms, Bulat Ibragimov
2025	—	`conf`	NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks. NLDL Bjørn Leth Møller, Sepideh Amiri, Christian Igel, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Matthias Keicher, Mohammad Farid Azampour, Nassir Navab, Bulat Ibragimov
2025	—	`conf`	PiMPiC: An Overlap-Aware Contrastive Learning Framework for 3D Patch-Based Medical Image Segmentation. DEMI@MICCAI Reza Karimzadeh, Ehsan Yousefzadeh-Asl-Miandoab, Hossein Arabi, Pinar Tözün, Bulat Ibragimov
2025	J	`jnl`	Prediction of radiological decision errors from longitudinal analysis of gaze and image features. Artif. Intell. Medicine Anna Anikina, Diliara Ibragimova, Tamerlan Mustafaev, Claudia Mello-Thoms, Bulat Ibragimov
2025	J	`jnl`	Uncertainty Estimation in Cardio Landmark Detection and Heart Disease Diagnosis on Chest X-Ray Images. IEEE Access Dmitry Lvov, Ivan Stebakov, Alexei Kornaev, Ilya Pershin, Tamerlan Mustafaev, Danil Afonchikov, Ramil Kuleev, Iskander Bariev, Bulat Ibragimov
2025	J	`jnl`	rNCA: Self-Repairing Segmentation Masks. CoRR Malte Silbernagel, Albert Alonso, Jens Petersen, Bulat Ibragimov, Marleen de Bruijne, Madeleine K. Wyburd
2024	J	`jnl`	Artificial Neural Networks as a Natural Tool in Solution of Variational Problems in Hydrodynamics. IEEE Access Ivan Stebakov, Alexei Kornaev, Elena Kornaeva, Nikita Litvinenko, Yuri Kazakov, Oleg Ivanov, Bulat Ibragimov
2024	J	`jnl`	Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis. Künstliche Intell. Bjørn Leth Møller, Bobby Zhao Sheng Lo, Johan Burisch, Flemming Bendtsen, Ida Vind, Bulat Ibragimov, Christian Igel
2024	A*	`conf`	Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks. ICML Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov
2024	J	`jnl`	Gaze-Assisted Medical Image Segmentation. CoRR Leila Khaertdinova, Ilya Pershin, Tatiana Shmykova, Bulat Ibragimov
2024	J	`jnl`	Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 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
2024	A*	`conf`	Learn Together Stop Apart: An Inclusive Approach to Ensemble Pruning. KDD Bulat Ibragimov, Gleb Gusev
2024	—	`conf`	Prediction of Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and Gaze-Guided Transformers. GRAIL@MICCAI Anna Anikina, Reza Karimzadeh, Diliara Ibragimova, Tamerlan Mustafaev, Claudia Mello-Thoms, Bulat Ibragimov
2024	J	`jnl`	The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review. IEEE J. Biomed. Health Informatics Bulat Ibragimov, Claudia Mello-Thoms
2024	A*	`conf`	Uplift Modelling via Gradient Boosting. KDD Bulat Ibragimov, Anton Vakhrushev
2023	J	`jnl`	3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge. CoRR 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
2023	J	`jnl`	A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays. CoRR Tudor Dascalu, Shaqayeq Ramezanzade, Azam Bakhshandeh, Lars Bjorndal, Bulat Ibragimov
2023	—	`conf`	Assignment Theory-Augmented Neural Network for Dental Arch Labeling. MICCAI (3) Tudor Dascalu, Bulat Ibragimov
2023	J	`jnl`	Changes in Radiologists' Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment. J. Digit. Imaging Ilya Pershin, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov
2023	B	`conf`	Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data. CEC Ilya Pershin, Tamerlan Mustafaev, Bulat Ibragimov
2023	A*	`conf`	Cross-Modal Conceptualization in Bottleneck Models. EMNLP Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov
2023	J	`jnl`	Cross-Modal Conceptualization in Bottleneck Models. CoRR Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov, Alexey Kornaev, Ivan Titov
2023	J	`jnl`	Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access. IEEE Access Bulat Ibragimov, Janet Zhen, Elif Ayvali
2023	—	`conf`	Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk. MICCAI (4) Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec
2022	—	`conf`	AI-Based Extraction of Radiologists Gaze Patterns Corresponding to Lung Regions. ISDA (3) Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov
2022	—	`conf`	AI-based analysis of radiologist's eye movements for fatigue estimation: a pilot study on chest X-rays. Image Perception, Observer Performance, and Technology Assessment Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Bulat Ibragimov
2022	J	`jnl`	Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns. IEEE J. Biomed. Health Informatics Ilya Pershin, Maksim Kholiavchenko, Bulat Maksudov, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov
2022	B	`conf`	Benefits of auxiliary information in deep learning-based teeth segmentation. Image Processing Tudor Dascalu, Artem Kuznetsov, Bulat Ibragimov
2022	B	`conf`	Gaze-based attention to improve the classification of lung diseases. Image Processing Maksim Kholiavchenko, Ilya Pershin, Bulat Maksudov, Tamerlan Mustafaev, Yixuan Yuan, Bulat Ibragimov
2022	J	`jnl`	Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time Augmentation. CoRR Sepideh Amiri, Bulat Ibragimov
2022	J	`jnl`	Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification. Medical Image Anal. Imad Eddine Ibrahim Bekkouch, Bulat Maksudov, Semen Kiselev, Tamerlan Mustafaev, Tomaz Vrtovec, Bulat Ibragimov
2022	B	`conf`	NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. AIME Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
2022	J	`jnl`	NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. CoRR Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh
2022	B	`conf`	Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis. Image Processing Gasper Podobnik, Primoz Strojan, Primoz Peterlin, Bulat Ibragimov, Tomaz Vrtovec
2022	B	`conf`	Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling. CEC Elena Kornaeva, Alexey Kornaev, Alexander Fetisov, Ivan Stebakov, Bulat Ibragimov
2022	—	`conf`	Segmentation of Organs-At-Risk from Ct and Mr Images of the Head and Neck: Baseline Results. ISBI Gasper Podobnik, Bulat Ibragimov, Primoz Strojan, Primoz Peterlin, Tomaz Vrtovec
2022	—	`conf`	Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization. MICCAI (8) Qiushi Yang, Xinyu Liu, Zhen Chen, Bulat Ibragimov, Yixuan Yuan
2021	J	`jnl`	Adversarial Reconstruction Loss for Domain Generalization. IEEE Access Imad Eddine Ibrahim Bekkouch, Dragos Constantin Nicolae, Adil Khan, S. M. Ahsan Kazmi, Asad Masood Khattak, Bulat Ibragimov
2021	J	`jnl`	Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists. IEEE J. Biomed. Health Informatics Alexey Tolkachev, Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Bulat Ibragimov
2021	B	`conf`	Multi-agent shape models for hip landmark detection in MR scans. Image Processing Imad Eddine Ibrahim Bekkouch, Tamerlan Aidinovich, Tomaz Vrtovec, Ramil Kuleev, Bulat Ibragimov
2021	J	`jnl`	Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation. IEEE J. Biomed. Health Informatics Chen Yang, Xiaoqing Guo, Meilu Zhu, Bulat Ibragimov, Yixuan Yuan
2020	J	`jnl`	Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. Neurocomputing Bulat Ibragimov, Diego A. S. Toesca, Daniel T. Chang, Yixuan Yuan, Albert C. Koong, Lei Xing
2020	J	`jnl`	Contour-aware multi-label chest X-ray organ segmentation. Int. J. Comput. Assist. Radiol. Surg. Maksym Kholiavchenko, Ilyas Sirazitdinov, Konstantin Kubrak, R. Badrutdinova, Ramil Kuleev, Yixuan Yuan, Tomaz Vrtovec, Bulat Ibragimov
2020	J	`jnl`	Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition. IEEE Trans Autom. Sci. Eng. Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q.-H. Meng, Lei Xing
2020	—	`conf`	Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography. ICANN (1) Ilyas Sirazitdinov, Konstantin Kubrak, Semen Kiselev, Alexey Tolkachev, Maksym Kholiavchenko, Bulat Ibragimov
2020	—	`conf`	Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution. MICCAI (5) Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan
2020	J	`jnl`	Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow. Biomed. Signal Process. Control. Hui Liu, Yuxiu Lin, Bulat Ibragimov, Caiming Zhang
2019	—	`conf`	Data Augmentation for Chest Pathologies Classification. ISBI Ilyas Sirazitdinov, Maksym Kholiavchenko, Ramil Kuleev, Bulat Ibragimov
2019	J	`jnl`	Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database. Comput. Electr. Eng. Ilyas Sirazitdinov, Maksym Kholiavchenko, Tamerlan Mustafaev, Yixuan Yuan, Ramil Kuleev, Bulat Ibragimov
2019	A*	`conf`	Minimal Variance Sampling in Stochastic Gradient Boosting. NeurIPS Bulat Ibragimov, Gleb Gusev
2019	J	`jnl`	Minimal Variance Sampling in Stochastic Gradient Boosting. CoRR Bulat Ibragimov, Gleb Gusev
2019	J	`jnl`	Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. IEEE J. Biomed. Health Informatics Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
2018	—	`conf`	Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. MICCAI (2) Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing
2018	J	`jnl`	Learning deconvolutional deep neural network for high resolution medical image reconstruction. Inf. Sci. Hui Liu, Jun Xu, Yan Wu, Qiang Guo, Bulat Ibragimov, Lei Xing
2018	—	`conf`	RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. MICCAI (2) Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing
2017	J	`jnl`	Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 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
2017	B	`conf`	Intervertebral disc segmentation in MR images with 3D convolutional networks. Image Processing Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2017	J	`jnl`	Segmentation of Pathological Structures by Landmark-Assisted Deformable Models. IEEE Trans. Medical Imaging Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Lei Xing, Tomaz Vrtovec
2016	J	`jnl`	A benchmark for comparison of dental radiography analysis algorithms. Medical Image Anal. 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
2016	J	`jnl`	A multi-center milestone study of clinical vertebral CT segmentation. Comput. Medical Imaging Graph. 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
2016	—	`conf`	Accurate landmark-based segmentation by incorporating landmark misdetections. ISBI Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2015	J	`jnl`	A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation. IEEE Trans. Medical Imaging Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2015	—	`conf`	Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor. CSI@MICCAI Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2015	J	`jnl`	Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Trans. Medical Imaging 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
2015	B	`conf`	Optimal reinforcement of training datasets in semi-supervised landmark-based segmentation. Image Processing Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2015	J	`jnl`	Segmentation of tongue muscles from super-resolution magnetic resonance images. Medical Image Anal. Bulat Ibragimov, Jerry L. Prince, Emi Z. Murano, Jonghye Woo, Maureen L. Stone, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2014	J	`jnl`	Shape Representation for Efficient Landmark-Based Segmentation in 3-D. IEEE Trans. Medical Imaging Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2013	B	`conf`	Statistical shape representation with landmark clustering by solving the assignment problem. Image Processing Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2012	J	`jnl`	A Game-Theoretic Framework for Landmark-Based Image Segmentation. IEEE Trans. Medical Imaging Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2012	—	`conf`	Automated measurement of anterior and posterior acetabular sector angles. Computer-Aided Diagnosis Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec
2011	B	`conf`	Boundary detection by linear programming with application to lung fields segmentation. Image Processing Bulat Ibragimov, Bostjan Likar, Franjo Pernus