Simo Saarakkala

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Manifold Regularization

Landmark Localization

Texture Analysis

Top Venues

IEEE Trans. Medical Imaging

Publications

Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data. IEEE Trans. Medical Imaging 43 (1) (2024)
Leon Robertz, Lassi Rieppo, Seppo Korkala, Tommi Jaako, Simo Saarakkala
Inter- and Intra-Day Precision of a Low-Cost and Wearable Bioelectrical Impedance Analysis Device. NCDHWS (2) (2024)
Egor Panfilov, Simo Saarakkala, Miika T. Nieminen, Aleksei Tiulpin
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers. CoRR (2023)
Neslihan Bayramoglu, Martin Englund, Ida K. Haugen, Muneaki Ishijima, Simo Saarakkala
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments. CoRR (2023)
Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani Määttä, Jaro Karppinen, Aleksei Tiulpin
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine Mri Using Deep Learning. ISBI (2023)
Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala, Aleksei Tiulpin
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data. CoRR (2022)
Narasimharao Kowlagi, Huy Hoang Nguyen, Terence McSweeney, Simo Saarakkala, Juhani määttä, Jaro Karppinen, Aleksei Tiulpin
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumbar Spine MRI Using Deep Learning. 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)
Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting. ISBI (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)
Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
DeepProg: A Transformer-based Framework for Predicting Disease Prognosis. 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)
Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs. IEEE Trans. Medical Imaging 39 (12) (2020)
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)
Huy Hoang Nguyen, Simo Saarakkala, Matthew B. Blaschko, Aleksei Tiulpin
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs. CoRR (2020)
Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. ACIVS (2020)
Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data. CoRR (2019)
Aleksei Tiulpin, Simo Saarakkala
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks. CoRR (2019)
Aleksei Tiulpin, Mikko Finnilä, Petri Lehenkari, Heikki J. Nieminen, Simo Saarakkala
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. CoRR (2019)
Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. CoRR (2019)
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)
Aleksei Tiulpin, Iaroslav Melekhov, Simo Saarakkala
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. ICCV Workshops (2019)
Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala
A Novel Method for Automatic Localization of Joint Area on Knee Plain Radiographs. SCIA (2) (2017)
Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Simo Saarakkala
A novel method for automatic localization of joint area on knee plain radiographs. CoRR (2017)
Jukka Kaipala, Miguel Bordallo López, Simo Saarakkala, Jérôme Thevenot
Automatic Segmentation of Bone Tissue from Computed Tomography Using a Volumetric Local Binary Patterns Based Method. SCIA (2) (2017)
Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu, Petri Lehenkari, Simo Saarakkala
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. CoRR (2017)
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)