Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis. - Jérôme Thevenot; Jie Chen 001; Mikko Finnilä; Miika T. Nieminen; Petri Lehenkari; Simo Saarakkala; Matti Pietikäinen (ECCV Workshops (2), 2014)

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 (ICCV Workshops, 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)

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)

A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. - Neslihan Bayramoglu; Miika T. Nieminen; Simo Saarakkala (MIUA, 2020)

A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. - Neslihan Bayramoglu; Miika T. Nieminen; Simo Saarakkala (CoRR, 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)

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)

Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. - Egor Panfilov; Simo Saarakkala; Miika T. Nieminen; Aleksei Tiulpin (ISBI, 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)

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)

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)

End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. - Egor Panfilov; Simo Saarakkala; Miika T. Nieminen; Aleksei Tiulpin (CoRR, 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, 2023)

A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints. - Andreas Hauptmann; Mustafa Al-Rubaye; Miika T. Nieminen; Mikael A. K. Brix (ICASSP Workshops, 2024)

Computed Tomography Artefact Detection Using Deep Learning - Towards Automated Quality Assurance. - Satu I. Inkinen; Antti Kotiaho; Matti Hanni; Miika T. Nieminen; Mikael A. K. Brix (NCDHWS (2), 2024)

Imaging phenotype evaluation from digital breast tomosynthesis data: A preliminary study. - Antti Isosalo; Satu I. Inkinen; Lucia Prostredná; Helinä Heino; Pieta S. Ipatti; Jarmo Reponen; Miika T. Nieminen (Comput. Biol. Medicine, 2024)

Image Reconstruction in Cone Beam Computed Tomography Using Controlled Gradient Sparsity. - Alexander Meaney; Mikael A. K. Brix; Miika T. Nieminen; Samuli Siltanen (CoRR, 2024)

MammogramAnnotationTool: Markup tool for breast tissue abnormality annotation. - Antti Isosalo; Satu I. Inkinen; Helinä Heino; Topi Turunen; Miika T. Nieminen (Softw. Impacts, 2024)

From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging. - Bilgehan Akdemir; Hafiz Faheem Shahid; Mikael A. K. Brix; Juho Lääkkölä; Johirul Islam; Tanesh Kumar; Jarmo Reponen; Miika T. Nieminen; Erkki Harjula (IEEE Access, 2025)