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Institution

Hebron University

EducationHebron, Palestinian Territory
About: Hebron University is a education organization based out in Hebron, Palestinian Territory. It is known for research contribution in the topics: Population & Cancer. The organization has 2714 authors who have published 4180 publications receiving 163736 citations.


Papers
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Journal ArticleDOI
TL;DR: Encouraging preliminary results warrant further trials of the capecitabine/docetaxel with erlotinib combination in MBC, and exposure to the three drugs was not reduced when given in combination.

52 citations

Journal ArticleDOI
TL;DR: The prevalence of workplace aggression among Palestinian nurses in the Hebron district was determined and cross-sectional associations between exposure to workplace aggression and the occurrence of psychological distress and job satisfaction were examined.

52 citations

Journal ArticleDOI
TL;DR: This paper presents an unsupervised subtraction approach which incorporates multisequence information to deal with the detection of new MS lesions in longitudinal studies and believes that the pipeline can be applied to large collections of images and also be easily adapted to monitor other brain pathologies.
Abstract: Time-series analysis of magnetic resonance images (MRI) is of great value for multiple sclerosis (MS) diagnosis and follow-up. In this paper, we present an unsupervised subtraction approach which incorporates multisequence information to deal with the detection of new MS lesions in longitudinal studies. The proposed pipeline for detecting new lesions consists of the following steps: skull stripping, bias field correction, histogram matching, registration, white matter masking, image subtraction, automated thresholding, and postprocessing. We also combine the results of PD-w and T2-w images to reduce false positive detections. Experimental tests are performed in 20 MS patients with two temporal studies separated 12 (12M) or 48 (48M) months in time. The pipeline achieves very good performance obtaining an overall sensitivity of 0.83 and 0.77 with a false discovery rate (FDR) of 0.14 and 0.18 for the 12M and 48M datasets, respectively. The most difficult situation for the pipeline is the detection of very small lesions where the obtained sensitivity is lower and the FDR higher. Our fully automated approach is robust and accurate, allowing detection of new appearing MS lesions. We believe that the pipeline can be applied to large collections of images and also be easily adapted to monitor other brain pathologies.

52 citations

Journal ArticleDOI
TL;DR: A simple prognostic score for survival in patients with advanced melanoma treated with ipilimumab is proposed using readily available clinical parameters.

52 citations


Authors

Showing all 2723 results

NameH-indexPapersCitations
José Baselga156707122498
M. I. Martínez134125179885
Josep Tabernero11180368982
Jordi Rello10369435994
Xavier Montalban9576252842
James M. Downey9138129506
Enriqueta Felip8362253364
Joaquim Bellmunt8266041472
Joan Montaner8048922413
Marc Miravitlles7665125671
David H. Salat7524136779
Eduard Gratacós7553120178
Alex Rovira7435619586
Ramon Bataller7228319316
Maria Buti7149326596
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202212
2021568
2020545
2019483
2018385