Miika T. Nieminen

Orcid: 0000-0002-2300-2848

According to our database1, Miika T. Nieminen authored at least 14 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

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

Unsupervised denoising for sparse multi-spectral computed tomography.
CoRR, 2022

Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning.
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
Framework for Photon Counting Quantitative Material Decomposition.
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


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