Browsing by Author "Prakash, Mithilesh"
Now showing items 1-5 of 5
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Dual Contrast in Computed Tomography Allows Earlier Characterization of Articular Cartilage over Single Contrast
Bhattarai, Abhisek; Pouran, Behdad; Mäkelä, Janne T A; Shaikh, Rubina; Honkanen, Miitu K M; Prakash, Mithilesh; Kröger, Heikki; Grinstaff, Mark W; Weinans, Harrie; Jurvelin, Jukka S; Töyräs, Juha (Wiley, 2020)Cationic computed tomography contrast agents are more sensitive for detecting cartilage degeneration than anionic or non‐ionic agents. However, osteoarthritis‐related loss of proteoglycans and increase in water content ...Tieteelliset aikakauslehtiartikkelit
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Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects
Sarin, Jaakko K; Te Moller, Nikae Cr; Mohammadi, Ali; Prakash, Mithilesh; Torniainen, Jari; Brommer, Harold; Nippolainen, Ervin; Shaikh, Rubina; Mäkelä, Janne Ta; Korhonen, Rami K; René van Weeren, P; Afara, Isaac O; Töyräs, Juha (Elsevier BV, 2021)Objective To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic monitoring of cartilage defects. Method Sharp and blunt cartilage grooves were induced in the radiocarpal and intercarpal ...Tieteelliset aikakauslehtiartikkelit
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Optimization of multivariate regression techniques for near-infrared spectroscopic characterization of articular cartilage
Prakash, Mithilesh (Itä-Suomen yliopisto; University of Eastern Finland, 2019)info:eu-repo/semantics/doctoralThesis
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Quantitative dual contrast photon-counting computed tomography for assessment of articular cartilage health
Paakkari, Petri; Inkinen, Satu I; Honkanen, Miitu KM; Prakash, Mithilesh; Shaikh, Rubina; Nieminen, Miika T; Grinstaff, Mark W; Mäkelä, Janne TA; Töyräs, Juha; Honkanen, Juuso TJ (Springer Science and Business Media LLC, 2021)Photon-counting detector computed tomography (PCD-CT) is a modern spectral imaging technique utilizing photon-counting detectors (PCDs). PCDs detect individual photons and classify them into fixed energy bins, thus enabling ...Tieteelliset aikakauslehtiartikkelit
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Quantitative Longitudinal Predictions of Alzheimer's Disease by Multi-Modal Predictive Learning
Prakash, Mithilesh; Abdelaziz, Mahmoud; Zhang, Linda; Strange, Bryan A; Tohka, Jussi; for the Alzheimer's Disease Neuroimaging Initiative (IOS Press, 2021)Background: Quantitatively predicting the progression of Alzheimer’s disease (AD) in an individual on a continuous scale, such as the Alzheimer’s Disease Assessment Scale-cognitive (ADAS-cog) scores, is informative for a ...Tieteelliset aikakauslehtiartikkelit