Miika T. Nieminen

According to our database, Miika T. Nieminen authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MammogramAnnotationTool: Markup tool for breast tissue abnormality annotation.

Antti Isosalo, Satu I. Inkinen, Helinä Heino, Topi Turunen, Miika T. Nieminen

Softw. Impacts, 2024

Computed Tomography Artefact Detection Using Deep Learning - Towards Automated Quality Assurance.

Satu I. Inkinen, Antti Kotiaho, M. Hanni, Miika T. Nieminen, Mikael A. K. Brix

Proceedings of the Digital Health and Wireless Solutions - First Nordic Conference, 2024

2023

Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data.

Antti Isosalo, Satu I. Inkinen, Topi Turunen, Pieta S. Ipatti, Jarmo Reponen, Miika T. Nieminen

Comput. Biol. Medicine, July, 2023

End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers.

Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin

CoRR, 2023

2022

Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis.

Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala

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.

Seyed Amir Mirmojarabian, Eveliina Lammentausta, Esa Liukkonen, Lauri Ahvenjärvi, Juhani Junttila, Miika T. Nieminen, Timo Liimatainen

Int. J. Biomed. Imaging, 2022

Unsupervised denoising for sparse multi-spectral computed tomography.

Satu I. Inkinen, Mikael A. K. Brix, Miika T. Nieminen, Simon R. Arridge, Andreas Hauptmann

CoRR, 2022

Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning.

Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin

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).

Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala

CoRR, 2021

2020

Framework for Photon Counting Quantitative Material Decomposition.

Mikael A. K. Juntunen, Satu I. Inkinen, Juuso H. Ketola, Antti Kotiaho, Matti Kauppinen, Alexander Winkler, Miika T. Nieminen

IEEE Trans. Medical Imaging, 2020

A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection.

Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala

CoRR, 2020

A Lightweight CNN and Joint Shape-Joint Space (JS²) Descriptor for Radiological Osteoarthritis Detection.

Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala

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.

Zenith Purisha, Sakari S. Karhula, Juuso H. Ketola, Juho Rimpelainen, Miika T. Nieminen, Simo Saarakkala, Heikki Kroger, Samuli Siltanen

IEEE Trans. Medical Imaging, 2019

Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis.

Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala

CoRR, 2019

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation.

Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala

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.

Jérôme Thevenot, Jie Chen, Mikko Finnilä, Miika T. Nieminen, Petri Lehenkari, Simo Saarakkala, Matti Pietikäinen

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014