Aleksei Tiulpin
Orcid: 0000-0002-7852-4141Affiliations:
- University of Oulu, Finland
According to our database1,
Aleksei Tiulpin
authored at least 33 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data.
IEEE Trans. Medical Imaging, January, 2024
Trans. Mach. Learn. Res., 2024
CoRR, 2024
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers.
CoRR, 2023
MRI2Mesh: Intervertebral Disc Mesh Generation from Low Resolution MRI Using Graph Neural Networks with Cross Level Feature Fusion.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Trans. Mach. Learn. Res., 2022
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices.
CoRR, 2022
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
2020
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs.
IEEE Trans. Medical Imaging, 2020
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020
Bayesian Feature Pyramid Networks for Automatic Multi-label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020
2019
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis.
CoRR, 2019
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks.
CoRR, 2019
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data.
CoRR, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2017
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach.
CoRR, 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017