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Page 570
Using image analysis techniques to analyse figure-copying performance of patients with visuospatial neglect and control groups.
Richard Guest,
Nick Donnelly,
Michael Fairhurst,
& Jonathan Potter
, 2004 , Behavior Research Methods, Instruments and Computers , 36 (2) , 347--354
Type: article
Analysis of chronic myeloid leukemia during deep molecular response by genomic PCR: a traffic light stratification model with impact on treatment-free remission
Katerina Machova-Polakova,
Hana Zizkova,
Jan Zuna,
Eliska Motlova,
Lenka Hovorkova,
Andrea Gottschalk,
Ingmar Glauche,
Jitka Koblihova,
Pavla Pecherkova,
Hana Klamova,
Marketa Stastna Markova,
Dana Srbova,
Adela Benesova,
Vaclava Polivkova,
Tomas Jurcek,
Daniela Zackova,
Jiri Mayer,
Thomas Ernst,
Francois-Xavier Mahon,
Susanne Saussele,
Ingo Roeder,
Nicholas Cross,
& Andreas Hochhaus
, 2020 , Leukemia , 34 (8) , 2113--2124
DOI: 10.1038/s41375-020-0882-1
Type: article
Fast-mode duplex qPCR for BCR-ABL1 molecular monitoring: Innovation, automation, and harmonization
Gareth Gerrard,
Katherine Mudge,
Pierre Foskett,
David Stevens,
Mary Alikian,
Helen E. White,
Nicholas N.C.P. Cross,
Jane Apperley,
& Letizia Foroni
, 2012 , American Journal of Hematology , 87 (7) , 717--720
DOI: 10.1002/ajh.23212
Type: article
Why we need to keep using the patient made term “Long Covid"
Elisa Perego,
Felicity Callard,
Laurie Stras,
Barbara Melville-Johannesson,
Rachel Pope,
& Nisreen Alwan
, 2020
Type: website
N-14 and P-31 high resolution MAS NMR provides a way to monitor biological model membrane surfaces and occurring changes upon peptide-association
F. Lindstrom,
P.T.F. Williamson,
M. Bokvist,
& G. Grobner
, 2005 , Biophysical Journal , 88 (1) , 142A--142A
Type: article
Mathematical modelling of clonal stem cell dynamics
Philip Greulich
, 2019
DOI: 10.1007/978-1-4939-9224-9_5
Type: bookChapter
Emergent Capabilities for Collaborative Teams in the Evolving Web Environment
Dave Braines,
Paul R Smart,
& Jie Bao
, 2010
Type: conference
Discrete Roesser state models from 2D frequency data
Paolo Rapisarda
, 2019 , Multidimensional Systems and Signal Processing , 30 (2) , 591--610
DOI: 10.1007/s11045-018-0572-6
Type: article
A two-variable approach to solve the polynomial Lyapunov equation
Ralf Peeters,
& Paolo Rapisarda
, 2001 , Systems & Control Letters , 42 , 117--126
Type: article
Minicourse on behavioral systems theory- Lecture 4: Bilinear and quadratic differential forms
Paolo Rapisarda,
& Jan C. Willems
, 2006
Type: conference