World's Best Scientists 2026 revealed!
Simo Saarakkala

Simo Saarakkala

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
8768
World Ranking
3685
National Ranking
22

Overview

Simo Saarakkala is affiliated with the University of Oulu in Finland and has a research focus primarily in the field of Medicine, with extensive work in Rheumatology, Surgery, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, as well as Orthopedics and Sports Medicine. The scientific contributions span 305 publications concentrated in these areas, reflecting a multidisciplinary approach to musculoskeletal and joint disorders.

The main research topics covered by Saarakkala include osteoarthritis treatment and mechanisms, total knee arthroplasty outcomes, and lower extremity biomechanics and pathologies. Additional subjects of interest are knee injuries and reconstruction techniques, spectroscopy techniques in biomedical and chemical research, medical imaging and analysis, and rheumatoid arthritis research and therapies.

The prominent venues for Saarakkala's publications are:

  • Osteoarthritis and Cartilage
  • Annals of Biomedical Engineering
  • Osteoarthritis and Cartilage Open
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)

Frequent collaborators within Saarakkala's research network include Mikko Finnilä, Aleksei Tiulpin, Martin Englund, Rami K. Korhonen, and Petri Tanska, each having coauthored multiple publications with Saarakkala.

Significant papers documenting Saarakkala's recent scientific contributions are:

  • "State of the Art: Imaging of Osteoarthritis-Revisited 2020" (2020), Radiology
  • "Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs Using Deep Convolutional Neural Networks" (2020), MDPI (MDPI AG)
  • "Nanotechnological Strategies for Osteoarthritis Diagnosis, Monitoring, Clinical Management, and Regenerative Medicine: Recent Advances and Future Opportunities" (2020), Current Rheumatology Reports
  • "Raman microspectroscopic analysis of the tissue-specific composition of the human osteochondral junction in osteoarthritis: A pilot study" (2020), Acta Biomaterialia
  • "Deep learning-based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative" (2021), Journal of Orthopaedic Research®

Best Publications

  • Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

    Aleksei Tiulpin;Jérôme Thevenot;Esa Rahtu;Petri Lehenkari

  • Depth-wise progression of osteoarthritis in human articular cartilage: investigation of composition, structure and biomechanics

    S. Saarakkala;P. Julkunen;P. Kiviranta;J. Mäkitalo

  • Biomechanical properties of knee articular cartilage.

    M S Laasanen;J Töyräs;R K Korhonen;J Rieppo

  • Application of second derivative spectroscopy for increasing molecular specificity of Fourier transform infrared spectroscopic imaging of articular cartilage.

    L. Rieppo;S. Saarakkala;T. Närhi;H.J. Helminen

  • Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data.

    Aleksei Tiulpin;Aleksei Tiulpin;Stefan Klein;Sita M. A. Bierma-Zeinstra;Jérôme Thevenot

  • Proteoglycan and collagen sensitive MRI evaluation of normal and degenerated articular cartilage.

    M. J. Nissi;J. Töyräs;M. S. Laasanen;J. Rieppo

  • Recent advances in understanding the phenotypes of osteoarthritis.

    Ali Mobasheri;Simo Saarakkala;Mikko Finnilä;Morten A. Karsdal

  • Power Doppler ultrasonography and synovitis: correlating ultrasound imaging with histopathological findings and evaluating the performance of ultrasound equipments

    Juhani M. Koski;Simo Saarakkala;Markku Helle;Ullamari Hakulinen

  • Novel mechano-acoustic technique and instrument for diagnosis of cartilage degeneration.

    M S Laasanen;J Töyräs;J Hirvonen;S Saarakkala

  • Speed of sound in normal and degenerated bovine articular cartilage.

    Juha Töyräs;Mikko S Laasanen;Simo Saarakkala;Mikko J Lammi

  • WS2 and MoS2 thin film gas sensors with high response to NH3 in air at low temperature

    Topias Järvinen;Gabriela S Lorite;Jani Peräntie;Geza Toth

  • Ultrasonic quantitation of superficial degradation of articular cartilage

    Simo Saarakkala;Juha Töyräs;Jani Hirvonen;Mikko S. Laasanen

  • Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks

    A. Tiulpin;S. Saarakkala

  • Ability of ultrasound backscattering to predict mechanical properties of bovine trabecular bone.

    Mikko A. Hakulinen;Juha Töyräs;Simo Saarakkala;Jani Hirvonen

  • Ultrasound attenuation in normal and spontaneously degenerated articular cartilage.

    Heikki J. Nieminen;Simo Saarakkala;Mikko S. Laasanen;Jani Hirvonen

  • Comparison of nonlinear mechanical properties of bovine articular cartilage and meniscus.

    E.K. Danso;J.T.J. Honkanen;S. Saarakkala;S. Saarakkala;R.K. Korhonen

  • Multiparametric MRI assessment of human articular cartilage degeneration: Correlation with quantitative histology and mechanical properties

    Jari Rautiainen;Jari Rautiainen;Mikko J. Nissi;Mikko J. Nissi;Elli Noora Salo;Virpi Tiitu

  • Quantitative ultrasound imaging detects degenerative changes in articular cartilage surface and subchondral bone.

    Simo Saarakkala;Mikko S Laasanen;Jukka S Jurvelin;Juha Töyräs

  • Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs Using Deep Convolutional Neural Networks.

    Aleksei Tiulpin;Simo Saarakkala

  • Infrared spectroscopy indicates altered bone turnover and remodeling activity in renal osteodystrophy

    Hanna Isaksson;Mikael J Turunen;Lassi Rieppo;Simo Saarakkala

  • Assessing the intra- and inter-reader reliability of dynamic ultrasound images in power Doppler ultrasonography

    J M Koski;S Saarakkala;M Helle;U Hakulinen

  • Determining collagen distribution in articular cartilage using contrast-enhanced micro-computed tomography

    H.J. Nieminen;H.J. Nieminen;T. Ylitalo;T. Ylitalo;S. Karhula;J.-P. Suuronen

Frequent Co-Authors

Juha Töyräs
Juha Töyräs University of Eastern Finland
Jukka S. Jurvelin
Jukka S. Jurvelin University of Eastern Finland
Rami K. Korhonen
Rami K. Korhonen University of Eastern Finland
Petri Lehenkari
Petri Lehenkari Oulu University Hospital
Heikki Kröger
Heikki Kröger University of Eastern Finland
Walter Herzog
Walter Herzog University of Calgary
Mikko J. Lammi
Mikko J. Lammi Umeå University
Martin Englund
Martin Englund Lund University
Frank W. Roemer
Frank W. Roemer University of Erlangen-Nuremberg
Ali Guermazi
Ali Guermazi Boston University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Simo Saarakkala

Trending Scientists