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

P Van Ham

Showing results (11-20 of 24) with videos related to

Pageof 3
Sort By:
Journal of Neuropathology and Experimental Neurology|May 1, 1995
Identification of high versus lower risk clinical subgroups in a group of adult patients with supratentorial anaplastic astrocytomasC Decaestecker, I Salmon, I Camby, et al.
Biochemical and Biophysical Research Communications|March 17, 1997
Dynamic characterization of glioblastoma cell motilityC De Hauwer, I Camby, F Darro, et al.
International Journal of Molecular Medicine|December 22, 1998
Setting up of an original computer-assisted methodology to characterize in vitro drug-induced anti-angiogenic effectsS Farinelle, C Dehauwer, F Darro, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|June 1, 1997
Decision tree induction: a useful tool for assisted diagnosis and prognosis in tumor pathologyC Decaestecker, I Camby, M Remmelink, et al.
Cytometry|May 1, 1996
Methodological aspects of using decision trees to characterise leiomyomatous tumorsC Decaestecker, M Remmelink, I Salmon, et al.
Analytical Cellular Pathology : the Journal of the European Society for Analytical Cellular Pathology|May 1, 1996
The computer-assisted microscope analysis of Feulgen-stained nuclei linked to a supervised learning algorithm as an aid to prognosis assessment in invasive transitional bladder cell carcinomasC Decaestecker, M Petein, R van Velthoven, et al.
The Journal of Pathology|March 1, 1996
The use of the decision tree technique and image cytometry to characterize aggressiveness in World Health Organization (WHO) grade II superficial transitional cell carcinomas of the bladderC Decaestecker, R van Velthoven, M Petein, et al.
The Journal of Pathology|December 9, 1997
Classification strategies for the grading of renal cell carcinomas, based on nuclear morphometry and densitometryC François, C Decaestecker, M Petein, et al.
International Journal of Antimicrobial Agents|November 21, 2015
Clinical outcome of maraviroc-containing therapy in heavily pre-treated HIV-1-infected patientsS F L van Lelyveld, J Symons, P van Ham, et al.
Journal of Neuropathology and Experimental Neurology|August 28, 1998
Characterization of astroglial versus oligodendroglial phenotypes in glioblastomas by means of quantitative morphonuclear variables generated by computer-assisted microscopyC Decaestecker, I Camby, L Gordower, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Journal of Neuropathology and Experimental Neurology|May 1, 1995
Identification of high versus lower risk clinical subgroups in a group of adult patients with supratentorial anaplastic astrocytomasC Decaestecker, I Salmon, I Camby, et al.
Biochemical and Biophysical Research Communications|March 17, 1997
Dynamic characterization of glioblastoma cell motilityC De Hauwer, I Camby, F Darro, et al.
International Journal of Molecular Medicine|December 22, 1998
Setting up of an original computer-assisted methodology to characterize in vitro drug-induced anti-angiogenic effectsS Farinelle, C Dehauwer, F Darro, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|June 1, 1997
Decision tree induction: a useful tool for assisted diagnosis and prognosis in tumor pathologyC Decaestecker, I Camby, M Remmelink, et al.
Cytometry|May 1, 1996
Methodological aspects of using decision trees to characterise leiomyomatous tumorsC Decaestecker, M Remmelink, I Salmon, et al.
Analytical Cellular Pathology : the Journal of the European Society for Analytical Cellular Pathology|May 1, 1996
The computer-assisted microscope analysis of Feulgen-stained nuclei linked to a supervised learning algorithm as an aid to prognosis assessment in invasive transitional bladder cell carcinomasC Decaestecker, M Petein, R van Velthoven, et al.
The Journal of Pathology|March 1, 1996
The use of the decision tree technique and image cytometry to characterize aggressiveness in World Health Organization (WHO) grade II superficial transitional cell carcinomas of the bladderC Decaestecker, R van Velthoven, M Petein, et al.
The Journal of Pathology|December 9, 1997
Classification strategies for the grading of renal cell carcinomas, based on nuclear morphometry and densitometryC François, C Decaestecker, M Petein, et al.
International Journal of Antimicrobial Agents|November 21, 2015
Clinical outcome of maraviroc-containing therapy in heavily pre-treated HIV-1-infected patientsS F L van Lelyveld, J Symons, P van Ham, et al.
Journal of Neuropathology and Experimental Neurology|August 28, 1998
Characterization of astroglial versus oligodendroglial phenotypes in glioblastomas by means of quantitative morphonuclear variables generated by computer-assisted microscopyC Decaestecker, I Camby, L Gordower, et al.
Pageof 3