Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Isabelle Thomas

Showing results (1-10 of 66) with videos related to

Pageof 7
Sort By:
Clinics in Dermatology|December 6, 2005
Cutaneous paraneoplastic syndromes: uncommon presentationsIsabelle Thomas, Robert A Schwartz
Plos One|August 27, 2015
On the Morphology of a Growing City: A Heuristic Experiment Merging Static Economics with Dynamic GeographyJustin Delloye, Dominique Peeters, Isabelle Thomas
Health & Place|February 18, 2014
Self-assessed health of elderly people in Brussels: does the built environment matter?Claire Dujardin, Vincent Lorant, Isabelle Thomas
Accident; Analysis and Prevention|May 19, 2005
Understanding spatial concentrations of road accidents using frequent item setsKarolien Geurts, Isabelle Thomas, Geert Wets
Clinical Laboratory|April 6, 2002
The use of nucleic acid amplification techniques to increase the viral safety of bloodIsabelle Thomas, Esther Mathys, Carine Gerard
Accident; Analysis and Prevention|August 22, 2013
Predicting cycling accident risk in Brussels: a spatial case-control approachGrégory Vandenbulcke, Isabelle Thomas, Luc Int Panis
Health & Place|November 27, 2007
Contextual factors and immigrants' health status: double jeopardyVincent Lorant, Herman Van Oyen, Isabelle Thomas
International Journal of Dermatology|June 10, 2004
Bedbug bites: a reviewIsabelle Thomas, George G Kihiczak, Robert A Schwartz
BMC Family Practice|February 11, 2011
Clinical prediction rules combining signs, symptoms and epidemiological context to distinguish influenza from influenza-like illnesses in primary care: a cross sectional studyBarbara Michiels, Isabelle Thomas, Paul Van Royen, et al.
Accident; Analysis and Prevention|September 16, 2003
The local spatial autocorrelation and the kernel method for identifying black zones. A comparative approachBenoît Flahaut, Michel Mouchart, Ernesto San Martin, et al.
Pageof 7

Showing results (1-10 of 66) with videos related to

Sort By:
Pageof 7
Clinics in Dermatology|December 6, 2005
Cutaneous paraneoplastic syndromes: uncommon presentationsIsabelle Thomas, Robert A Schwartz
Plos One|August 27, 2015
On the Morphology of a Growing City: A Heuristic Experiment Merging Static Economics with Dynamic GeographyJustin Delloye, Dominique Peeters, Isabelle Thomas
Health & Place|February 18, 2014
Self-assessed health of elderly people in Brussels: does the built environment matter?Claire Dujardin, Vincent Lorant, Isabelle Thomas
Accident; Analysis and Prevention|May 19, 2005
Understanding spatial concentrations of road accidents using frequent item setsKarolien Geurts, Isabelle Thomas, Geert Wets
Clinical Laboratory|April 6, 2002
The use of nucleic acid amplification techniques to increase the viral safety of bloodIsabelle Thomas, Esther Mathys, Carine Gerard
Accident; Analysis and Prevention|August 22, 2013
Predicting cycling accident risk in Brussels: a spatial case-control approachGrégory Vandenbulcke, Isabelle Thomas, Luc Int Panis
Health & Place|November 27, 2007
Contextual factors and immigrants' health status: double jeopardyVincent Lorant, Herman Van Oyen, Isabelle Thomas
International Journal of Dermatology|June 10, 2004
Bedbug bites: a reviewIsabelle Thomas, George G Kihiczak, Robert A Schwartz
BMC Family Practice|February 11, 2011
Clinical prediction rules combining signs, symptoms and epidemiological context to distinguish influenza from influenza-like illnesses in primary care: a cross sectional studyBarbara Michiels, Isabelle Thomas, Paul Van Royen, et al.
Accident; Analysis and Prevention|September 16, 2003
The local spatial autocorrelation and the kernel method for identifying black zones. A comparative approachBenoît Flahaut, Michel Mouchart, Ernesto San Martin, et al.
Pageof 7