Miika T. Nieminen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Local Binary Pattern

Texture Analysis

Top Venues

IEEE Trans. Medical Imaging

Int. J. Medical Informatics

Publications

Satu I. Inkinen, Antti Kotiaho, M. Hanni, Miika T. Nieminen, Mikael A. K. Brix
Computed Tomography Artefact Detection Using Deep Learning - Towards Automated Quality Assurance. NCDHWS (2) (2024)
Antti Isosalo, Satu I. Inkinen, Helinä Heino, Topi Turunen, Miika T. Nieminen
MammogramAnnotationTool: Markup tool for breast tissue abnormality annotation. Softw. Impacts 19 (2024)
Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. CoRR (2023)
Antti Isosalo, Satu I. Inkinen, T. Turunen, Pieta S. Ipatti, Jarmo Reponen, Miika T. Nieminen
Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data. Comput. Biol. Medicine 161 (2023)
Satu I. Inkinen, Mikael A. K. Brix, Miika T. Nieminen, Simon R. Arridge, Andreas Hauptmann
Unsupervised denoising for sparse multi-spectral computed tomography. CoRR (2022)
Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning. CoRR (2022)
Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis. Int. J. Medical Informatics 157 (2022)
Seyed Amir Mirmojarabian, Eveliina Lammentausta, Esa Liukkonen, Lauri Ahvenjärvi, Juhani Junttila, Miika T. Nieminen, Timo Liimatainen
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 (2022)
Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. ISBI (2022)
Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST). CoRR (2021)
Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis. CoRR (2021)
Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. CoRR (2020)
Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
) Descriptor for Radiological Osteoarthritis Detection. MIUA (2020)
Mikael A. K. Juntunen, Satu I. Inkinen, Juuso H. Ketola, Antti Kotiaho, Matti Kauppinen, Alexander Winkler, Miika T. Nieminen
Framework for Photon Counting Quantitative Material Decomposition. IEEE Trans. Medical Imaging 39 (1) (2020)
Zenith Purisha, Sakari S. Karhula, Juuso H. Ketola, Juho Rimpelainen, Miika T. Nieminen, Simo Saarakkala, Heikki Kroger, Samuli Siltanen
An Automatic Regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using Sparse Data. IEEE Trans. Medical Imaging 38 (2) (2019)
Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. CoRR (2019)
Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. ICCV Workshops (2019)
Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. CoRR (2019)
Jérôme Thevenot, Jie Chen, Mikko Finnilä, Miika T. Nieminen, Petri Lehenkari, Simo Saarakkala, Matti Pietikäinen
Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis. ECCV Workshops (2) (2014)