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H A Kestler

Showing results (1-10 of 31) with videos related to

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Methods of Information in Medicine|May 26, 1999
Calculation and display of confidence bounds for receiver operator characteristicsH A Kestler
Computer Methods and Programs in Biomedicine|January 4, 2001
ROC with confidence - a Perl program for receiver operator characteristic curvesH A Kestler
Der Urologe. Ausg. A|April 28, 2004
[Necessity and usefulness of bioinformatic methods for microarray data analysis]H A Kestler, R Küfer
The Journal of Investigative Dermatology|November 26, 1999
A model for the emergence of Café-au-lait maculesH A Kestler, M Haschka
Neural Networks : the Official Journal of the International Neural Network Society|June 20, 2001
Three learning phases for radial-basis-function networksF Schwenker, H A Kestler, G Palm
Medical & Biological Engineering & Computing|June 1, 2000
Cardiac vulnerability assessment from electrical microvariability of high-resolution electrocardiogramH A Kestler, J Wöhrle, M Höher
Medical & Biological Engineering & Computing|December 14, 2004
Prediction of the axillary lymph node status in mammary cancer on the basis of clinicopathological data and flow cytometryT Mattfeldt, H A Kestler, H P Sinn
Journal of Microscopy|May 16, 2000
Classification of spatial textures in benign and cancerous glandular tissues by stereology and stochastic geometry using artificial neural networksT Mattfeldt, H Gottfried, V Schmidt, et al.
European Urology|July 21, 2001
Prediction of postoperative prostatic cancer stage on the basis of systematic biopsies using two types of artificial neural networksT Mattfeldt, H A Kestler, R Hautmann, et al.
BJU International|September 1, 1999
Prediction of prostatic cancer progression after radical prostatectomy using artificial neural networks: a feasibility studyT Mattfeldt, H A Kestler, R Hautmann, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Methods of Information in Medicine|May 26, 1999
Calculation and display of confidence bounds for receiver operator characteristicsH A Kestler
Computer Methods and Programs in Biomedicine|January 4, 2001
ROC with confidence - a Perl program for receiver operator characteristic curvesH A Kestler
Der Urologe. Ausg. A|April 28, 2004
[Necessity and usefulness of bioinformatic methods for microarray data analysis]H A Kestler, R Küfer
The Journal of Investigative Dermatology|November 26, 1999
A model for the emergence of Café-au-lait maculesH A Kestler, M Haschka
Neural Networks : the Official Journal of the International Neural Network Society|June 20, 2001
Three learning phases for radial-basis-function networksF Schwenker, H A Kestler, G Palm
Medical & Biological Engineering & Computing|June 1, 2000
Cardiac vulnerability assessment from electrical microvariability of high-resolution electrocardiogramH A Kestler, J Wöhrle, M Höher
Medical & Biological Engineering & Computing|December 14, 2004
Prediction of the axillary lymph node status in mammary cancer on the basis of clinicopathological data and flow cytometryT Mattfeldt, H A Kestler, H P Sinn
Journal of Microscopy|May 16, 2000
Classification of spatial textures in benign and cancerous glandular tissues by stereology and stochastic geometry using artificial neural networksT Mattfeldt, H Gottfried, V Schmidt, et al.
European Urology|July 21, 2001
Prediction of postoperative prostatic cancer stage on the basis of systematic biopsies using two types of artificial neural networksT Mattfeldt, H A Kestler, R Hautmann, et al.
BJU International|September 1, 1999
Prediction of prostatic cancer progression after radical prostatectomy using artificial neural networks: a feasibility studyT Mattfeldt, H A Kestler, R Hautmann, et al.
Pageof 4