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)

Automatic Segmentation of Bone Tissue from Computed Tomography Using a Volumetric Local Binary Patterns Based Method. - Jukka Kaipala; Miguel Bordallo López; Simo Saarakkala; Jérôme Thevenot (SCIA (2), 2017)

A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. - Aleksei Tiulpin; Jérôme Thevenot; Esa Rahtu; Simo Saarakkala (SCIA (2), 2017)

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. - Aleksei Tiulpin; Jérôme Thevenot; Esa Rahtu; Petri Lehenkari; Simo Saarakkala (CoRR, 2017)

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)

KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. - Aleksei Tiulpin; Iaroslav Melekhov; Simo Saarakkala (ICCV Workshops, 2019)

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. - Aleksei Tiulpin; Stefan Klein; Sita M. A. Bierma-Zeinstra; Jérôme Thevenot; Esa Rahtu; Joyce van Meurs; Edwin H. G. Oei; Simo Saarakkala (CoRR, 2019)

Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks. - Aleksei Tiulpin; Simo Saarakkala (CoRR, 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)

Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. - Aleksei Tiulpin; Mikko Finnilä; Petri Lehenkari; Heikki J. Nieminen; Simo Saarakkala (ACIVS, 2020)

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)

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs. - Huy Hoang Nguyen; Simo Saarakkala; Matthew B. Blaschko; Aleksei Tiulpin (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)

DeepProg: A Transformer-based Framework for Predicting Disease Prognosis. - Huy Hoang Nguyen; Simo Saarakkala; Matthew B. Blaschko; Aleksei Tiulpin (CoRR, 2021)

CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting. - Huy Hoang Nguyen; Simo Saarakkala; Matthew B. Blaschko; Aleksei Tiulpin (ISBI, 2022)

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

A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning. - Narasimharao Kowlagi; Huy Hoang Nguyen; Terence McSweeney; Simo Saarakkala; Juhani Määttä; Jaro Karppinen; Aleksei Tiulpin (ISBI, 2023)

Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments. - Neslihan Bayramoglu; Martin Englund; Ida K. Haugen; Muneaki Ishijima; Simo Saarakkala (CoRR, 2023)

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

Inter- and Intra-Day Precision of a Low-Cost and Wearable Bioelectrical Impedance Analysis Device. - Leon Robertz; Lassi Rieppo; Seppo Korkala; Tommi Jaako; Simo Saarakkala (NCDHWS (2), 2024)

Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data. - Huy Hoang Nguyen; Matthew B. Blaschko; Simo Saarakkala; Aleksei Tiulpin (IEEE Trans. Medical Imaging, 2024)