Author

M. Piana

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2 Cancer Biology· 2 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:imaging· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

G. Caviglia· 2 shared M. Scussolini· 2 shared a. m. massone· 1 shared c. estatico· 1 shared C. Marini· 1 shared F. Benvenuto· 1 shared f. delbary· 1 shared F. Frassoni· 1 shared

Activity by Year

2019-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersCancer Biology

G. Caviglia

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Author profile →

5 papers

Recent·Most cited

Computational quantification of global effects induced by mutations and drugs in signaling networks of colorectal cancer cells.

S. Sommariva, G. Caviglia, S. Ravera, F. Frassoni, F. Benvenuto, L. Tortolina, N. Castagnino, S. Parodi, M. Piana

The paper develops a computational model to quantify global signaling effects of mutations and drugs in colorectal cancer by simulating chemical reaction networks.

bioRxiv · Dec 30, 2020Cancer Biology

Feeding recombinant Royalactin: Measures of improved lifespan and mitochondrial function in Caenorhabditis elegans

X. Li, T. L. Ingram, Y. Wang, K. Derecka, N. Courtier, M. Piana, I. C. W. Hardy, l. Chakrabarti, R. Stoger

bioRxiv · Sep 14, 2020 · PreprintPhysiology

On the asymptotic equivalence between the Radon and the Hough transforms of digital images

r. aramini, f. delbary, m. c. beltrametti, c. estatico, m. piana, a. m. massone

The paper proves the asymptotic equivalence between Radon and Hough transforms for digital images and discusses its implications for image reconstruction.

bioRxiv · Oct 25, 2019Bioengineering

Computational approaches for parametric imaging of dynamic PET data

S. Crisci, M. Piana, V. Ruggiero, M. Scussolini

The paper introduces a fast numerical optimization method for parametric imaging of dynamic PET data and validates it against existing methods in a simulation framework.

bioRxiv · Aug 28, 2019 · PreprintBioengineering

The role of the endoplasmic reticulum in in vivo cancer FDG kinetics

M. Scussolini, v. cossu, C. Marini, G. Sambuceti, G. Caviglia, m. piana

The paper confirms that the endoplasmic reticulum is the preferential site for FDG accumulation in vivo using a three-compartment model in cancer models.

bioRxiv · Jun 8, 2019 · PreprintCancer Biology