Miika T. Nieminen

24 papers Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	End-to-End Prediction of Knee Osteoarthritis Progression With Multimodal Transformers. IEEE J. Biomed. Health Informatics Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2025	J	`jnl`	From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging. IEEE Access Bilgehan Akdemir, Hafiz Faheem Shahid, Mikael A. K. Brix, Juho Lääkkölä, Johirul Islam, Tanesh Kumar, Jarmo Reponen, Miika T. Nieminen, Erkki Harjula
2024	—	`conf`	A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints. ICASSP Workshops Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix
2024	—	`conf`	Computed Tomography Artefact Detection Using Deep Learning - Towards Automated Quality Assurance. NCDHWS (2) Satu I. Inkinen, Antti Kotiaho, Matti Hanni, Miika T. Nieminen, Mikael A. K. Brix
2024	J	`jnl`	Image Reconstruction in Cone Beam Computed Tomography Using Controlled Gradient Sparsity. CoRR Alexander Meaney, Mikael A. K. Brix, Miika T. Nieminen, Samuli Siltanen
2024	J	`jnl`	Imaging phenotype evaluation from digital breast tomosynthesis data: A preliminary study. Comput. Biol. Medicine Antti Isosalo, Satu I. Inkinen, Lucia Prostredná, Helinä Heino, Pieta S. Ipatti, Jarmo Reponen, Miika T. Nieminen
2024	J	`jnl`	MammogramAnnotationTool: Markup tool for breast tissue abnormality annotation. Softw. Impacts Antti Isosalo, Satu I. Inkinen, Helinä Heino, Topi Turunen, Miika T. Nieminen
2023	J	`jnl`	End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. CoRR Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2023	J	`jnl`	Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data. Comput. Biol. Medicine Antti Isosalo, Satu I. Inkinen, Topi Turunen, Pieta S. Ipatti, Jarmo Reponen, Miika T. Nieminen
2022	J	`jnl`	Machine learning based texture analysis of patella from X-rays for detecting patellofemoral osteoarthritis. Int. J. Medical Informatics Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2022	J	`jnl`	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 Seyed Amir Mirmojarabian, Eveliina Lammentausta, Esa Liukkonen, Lauri Ahvenjärvi, Juhani Junttila, Miika T. Nieminen, Timo Liimatainen
2022	—	`conf`	Predicting Knee Osteoarthritis Progression from Structural MRI Using Deep Learning. ISBI Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2022	J	`jnl`	Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning. CoRR Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
2022	J	`jnl`	Unsupervised denoising for sparse multi-spectral computed tomography. CoRR Satu I. Inkinen, Mikael A. K. Brix, Miika T. Nieminen, Simon R. Arridge, Andreas Hauptmann
2021	J	`jnl`	Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST). CoRR Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2021	J	`jnl`	Machine Learning Based Texture Analysis of Patella from X-Rays for Detecting Patellofemoral Osteoarthritis. CoRR Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2020	—	`conf`	A Lightweight CNN and Joint Shape-Joint Space (JS MIUA Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2020	J	`jnl`	A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. CoRR Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala
2020	J	`jnl`	Framework for Photon Counting Quantitative Material Decomposition. IEEE Trans. Medical Imaging Mikael A. K. Juntunen, Satu I. Inkinen, Juuso H. Ketola, Antti Kotiaho, Matti Kauppinen, Alexander Winkler, Miika T. Nieminen
2019	J	`jnl`	Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis. CoRR Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi, Miika T. Nieminen, Simo Saarakkala
2019	J	`jnl`	An Automatic Regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using Sparse Data. IEEE Trans. Medical Imaging Zenith Purisha, Sakari S. Karhula, Juuso H. Ketola, Juho Rimpelainen, Miika T. Nieminen, Simo Saarakkala, Heikki Kroger, Samuli Siltanen
2019	—	`conf`	Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. ICCV Workshops Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
2019	J	`jnl`	Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation. CoRR Egor Panfilov, Aleksei Tiulpin, Stefan Klein, Miika T. Nieminen, Simo Saarakkala
2014	—	`conf`	Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis. ECCV Workshops (2) Jérôme Thevenot, Jie Chen, Mikko Finnilä, Miika T. Nieminen, Petri Lehenkari, Simo Saarakkala, Matti Pietikäinen