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ORCIDMiika T. Nieminen
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2020 – today
- 2024
[j7]Antti Isosalo
, Satu I. Inkinen, Lucia Prostredná, Helinä Heino, Pieta S. Ipatti, Jarmo Reponen, Miika T. Nieminen:
Imaging phenotype evaluation from digital breast tomosynthesis data: A preliminary study. Comput. Biol. Medicine 183: 109285 (2024)- [j6]Antti Isosalo, Satu I. Inkinen, Helinä Heino, Topi Turunen, Miika T. Nieminen:
MammogramAnnotationTool: Markup tool for breast tissue abnormality annotation. Softw. Impacts 19: 100599 (2024) - [c6]Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix:
A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints. ICASSP Workshops 2024: 69-70 - [c5]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: 17-28 - 2023
- [j5]Antti Isosalo, Satu I. Inkinen, Topi 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: 107023 (2023) - [i8]Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. CoRR abs/2307.00873 (2023) - 2022
- [j4]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: 9198691:1-9198691:9 (2022) - [j3]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: 104627 (2022) - [c4]Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. ISBI 2022: 1-5 - [i7]Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin:
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning. CoRR abs/2201.10849 (2022) - [i6]Satu I. Inkinen, Mikael A. K. Brix, Miika T. Nieminen, Simon R. Arridge, Andreas Hauptmann:
Unsupervised denoising for sparse multi-spectral computed tomography. CoRR abs/2211.01159 (2022) - 2021
- [i5]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 abs/2101.04350 (2021) - [i4]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis. CoRR abs/2106.01700 (2021) - 2020
- [j2]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): 35-47 (2020) - [c3]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. MIUA 2020: 331-345 - [i3]Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. CoRR abs/2005.11715 (2020)
2010 – 2019
- 2019
- [j1]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): 417-425 (2019) - [c2]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: 450-459 - [i2]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 abs/1908.04126 (2019) - [i1]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 abs/1908.07736 (2019) - 2014
- [c1]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: 63-79
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