Miika T. Nieminen
Orcid: 0000-0002-2300-2848
According to our database1,
Miika T. Nieminen
authored at least 18 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Softw. Impacts, 2024
Imaging phenotype evaluation from digital breast tomosynthesis data: A preliminary study.
Comput. Biol. Medicine, 2024
Computed Tomography Artefact Detection Using Deep Learning - Towards Automated Quality Assurance.
Proceedings of the Digital Health and Wireless Solutions - First Nordic Conference, 2024
A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data.
Comput. Biol. Medicine, July, 2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers.
CoRR, 2023
2022
Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis.
Int. J. Medical Informatics, 2022
Myocardium Assessment by Relaxation along Fictitious Field, Extracellular Volume, Feature Tracking, and Myocardial Strain in Hypertensive Patients with Left Ventricular Hypertrophy.
Int. J. Biomed. Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST).
CoRR, 2021
2020
IEEE Trans. Medical Imaging, 2020
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection.
CoRR, 2020
A Lightweight CNN and Joint Shape-Joint Space (JS<sup>2</sup>) Descriptor for Radiological Osteoarthritis Detection.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
2019
An Automatic Regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using Sparse Data.
IEEE Trans. Medical Imaging, 2019
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis.
CoRR, 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
2014
Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014