Boundary detection by linear programming with application to lung fields segmentation. - Bulat Ibragimov; Bostjan Likar; Franjo Pernus (Image Processing, 2011)

Automated measurement of anterior and posterior acetabular sector angles. - Bulat Ibragimov; Bostjan Likar; Franjo Pernus; Tomaz Vrtovec (Computer-Aided Diagnosis, 2012)

A Game-Theoretic Framework for Landmark-Based Image Segmentation. - Bulat Ibragimov; Bostjan Likar; Franjo Pernus; Tomaz Vrtovec (IEEE Trans. Medical Imaging, 2012)

Statistical shape representation with landmark clustering by solving the assignment problem. - Bulat Ibragimov; Bostjan Likar; Franjo Pernus; Tomaz Vrtovec (Image Processing, 2013)

Shape Representation for Efficient Landmark-Based Segmentation in 3-D. - Bulat Ibragimov; Bostjan Likar; Franjo Pernus; Tomaz Vrtovec (IEEE Trans. Medical Imaging, 2014)

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 (CSI@MICCAI, 2015)

Optimal reinforcement of training datasets in semi-supervised landmark-based segmentation. - Bulat Ibragimov; Bostjan Likar; Franjo Pernus; Tomaz Vrtovec (Image Processing, 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)

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)

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 022; Guoyan Zheng; et al. (IEEE Trans. Medical Imaging, 2015)

Accurate landmark-based segmentation by incorporating landmark misdetections. - Bulat Ibragimov; Bostjan Likar; Franjo Pernus; Tomaz Vrtovec (ISBI, 2016)

A multi-center milestone study of clinical vertebral CT segmentation. - Jianhua Yao 001; Joseph E. Burns; Daniel Forsberg; Alexander Seitel; Abtin Rasoulian; Purang Abolmaesumi; Kerstin Hammernik; Martin Urschler; Bulat Ibragimov; Robert Korez; Tomaz Vrtovec; Isaac Castro-Mateos; et al. (Comput. Medical Imaging Graph., 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; et al. (Medical Image Anal., 2016)

Intervertebral disc segmentation in MR images with 3D convolutional networks. - Robert Korez; Bulat Ibragimov; Bostjan Likar; Franjo Pernus; Tomaz Vrtovec (Image Processing, 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 011; et al. (Medical Image Anal., 2017)

Segmentation of Pathological Structures by Landmark-Assisted Deformable Models. - Bulat Ibragimov; Robert Korez; Bostjan Likar; Franjo Pernus; Lei Xing 001; Tomaz Vrtovec (IEEE Trans. Medical Imaging, 2017)

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 001 (MICCAI (2), 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 001 (MICCAI (2), 2018)

Learning deconvolutional deep neural network for high resolution medical image reconstruction. - Hui Liu 016; Jun Xu; Yan Wu 012; Qiang Guo 003; Bulat Ibragimov; Lei Xing 001 (Inf. Sci., 2018)

Data Augmentation for Chest Pathologies Classification. - Ilyas Sirazitdinov; Maksym Kholiavchenko; Ramil Kuleev; Bulat Ibragimov (ISBI, 2019)

Minimal Variance Sampling in Stochastic Gradient Boosting. - Bulat Ibragimov; Gleb Gusev (NeurIPS, 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)

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 001 (IEEE J. Biomed. Health Informatics, 2019)

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 (ICANN (1), 2020)

Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution. - Zhen Chen 013; Xiaoqing Guo; Chen Yang 026; Bulat Ibragimov; Yixuan Yuan (MICCAI (5), 2020)

Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow. - Hui Liu 016; Yuxiu Lin; Bulat Ibragimov; Caiming Zhang 001 (Biomed. Signal Process. Control., 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)

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 001 (Neurocomputing, 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 001 (IEEE Trans Autom. Sci. Eng., 2020)

Multi-agent shape models for hip landmark detection in MR scans. - Imad Eddine Ibrahim Bekkouch; Tamerlan Aidinovich; Tomaz Vrtovec; Ramil Kuleev; Bulat Ibragimov (Image Processing, 2021)

Adversarial Reconstruction Loss for Domain Generalization. - Imad Eddine Ibrahim Bekkouch; Dragos Constantin Nicolae; Adil Khan 001; S. M. Ahsan Kazmi; Asad Masood Khattak; Bulat Ibragimov (IEEE Access, 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)

Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation. - Chen Yang 026; Xiaoqing Guo; Meilu Zhu; Bulat Ibragimov; Yixuan Yuan (IEEE J. Biomed. Health Informatics, 2021)

NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. - Aleksandr Nesterov; Bulat Ibragimov; Dmitriy Umerenkov; Artem Shelmanov; Galina Zubkova; Vladimir Kokh (AIME, 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 (CEC, 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 (ISBI, 2022)

AI-Based Extraction of Radiologists Gaze Patterns Corresponding to Lung Regions. - Ilya Pershin; Bulat Maksudov; Tamerlan Mustafaev; Bulat Ibragimov (ISDA (3), 2022)

Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization. - Qiushi Yang; Xinyu Liu 001; Zhen Chen 013; Bulat Ibragimov; Yixuan Yuan (MICCAI (8), 2022)

Benefits of auxiliary information in deep learning-based teeth segmentation. - Tudor Dascalu; Artem Kuznetsov; Bulat Ibragimov (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 (Image Processing, 2022)

Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis. - Gasper Podobnik; Primoz Strojan; Primoz Peterlin; Bulat Ibragimov; Tomaz Vrtovec (Image Processing, 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 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time Augmentation. - Sepideh Amiri; Bulat Ibragimov (CoRR, 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)

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)

Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data. - Ilya Pershin; Tamerlan Mustafaev; Bulat Ibragimov (CEC, 2023)

Cross-Modal Conceptualization in Bottleneck Models. - Danis Alukaev; Semen Kiselev; Ilya Pershin; Bulat Ibragimov; Vladimir Ivanov; Alexey Kornaev; Ivan Titov (EMNLP, 2023)

Assignment Theory-Augmented Neural Network for Dental Arch Labeling. - Tudor Dascalu; Bulat Ibragimov (MICCAI (3), 2023)

Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk. - Gasper Podobnik; Primoz Strojan; Primoz Peterlin; Bulat Ibragimov; Tomaz Vrtovec (MICCAI (4), 2023)

Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access. - Bulat Ibragimov; Janet Zhen; Elif Ayvali (IEEE Access, 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; et al. (CoRR, 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)

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, 2023)

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 (ICML, 2024)

Learn Together Stop Apart: An Inclusive Approach to Ensemble Pruning. - Bulat Ibragimov; Gleb Gusev (KDD, 2024)

Uplift Modelling via Gradient Boosting. - Bulat Ibragimov; Anton Vakhrushev (KDD, 2024)

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 (GRAIL@MICCAI, 2024)

Artificial Neural Networks as a Natural Tool in Solution of Variational Problems in Hydrodynamics. - Ivan Stebakov; Alexei Kornaev; Elena Kornaeva; Nikita Litvinenko; Yuri Kazakov; Oleg Ivanov; Bulat Ibragimov (IEEE Access, 2024)

Gaze-Assisted Medical Image Segmentation. - Leila Khaertdinova; Ilya Pershin; Tatiana Shmykova; Bulat Ibragimov (CoRR, 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; et al. (Medical Image Anal., 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, 2024)

Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis. - Bjørn Leth Møller; Bobby Zhao Sheng Lo; Johan Burisch; Flemming Bendtsen; Ida Vind; Bulat Ibragimov; Christian Igel (Künstliche Intell., 2024)

NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks. - Bjørn Leth Møller; Sepideh Amiri; Christian Igel; Kristoffer Knutsen Wickstrøm; Robert Jenssen; Matthias Keicher; Mohammad Farid Azampour; Nassir Navab; Bulat Ibragimov (NLDL, 2025)

Gaze Assistance for Efficient Segmentation Correction of Medical Images. - Leila Khaertdinova; Tatiana Shmykova; Ilya Pershin; Andrey Laryukov; Albert Khanov; Damir Zidikhanov; Bulat Ibragimov (IEEE Access, 2025)

Automatic Calculation of Cardiometric Coefficients on Chest X-Ray Images. - Alexey Kornaev; Dmitry Lvov; Ilya Pershin; Semen Kiselev; Danil Afonchikov; Iskander Bariev; Bulat Ibragimov (IEEE Access, 2025)

Uncertainty Estimation in Cardio Landmark Detection and Heart Disease Diagnosis on Chest X-Ray Images. - Dmitry Lvov; Ivan Stebakov; Alexei Kornaev; Ilya Pershin; Tamerlan Mustafaev; Danil Afonchikov; Ramil Kuleev; Iskander Bariev; Bulat Ibragimov (IEEE Access, 2025)

Prediction of radiological decision errors from longitudinal analysis of gaze and image features. - Anna Anikina; Diliara Ibragimova; Tamerlan Mustafaev; Claudia Mello-Thoms; Bulat Ibragimov (Artif. Intell. Medicine, 2025)

DentAssignNet: Assignment Network for Dental Cast Labeling in the Presence of Dental Abnormalities. - Tudor Dascalu; Shaqayeq Ramezanzade; Azam Bakhshandeh; Lars Bjorndal; Raluca Iurcov; Tomaz Vrtovec; Bulat Ibragimov (IEEE J. Biomed. Health Informatics, 2025)