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Institution

University of Ljubljana

EducationLjubljana, Slovenia
About: University of Ljubljana is a education organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 17210 authors who have published 47013 publications receiving 1082684 citations. The organization is also known as: Univerza v Ljubljani.


Papers
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Journal ArticleDOI
TL;DR: Evaluated and confirmed efficacy and safety of electrochemotherapy with bleomycin or cisplatin on cutaneous and subcutaneous tumour nodules of patients with malignant melanoma and other malignancies in a multicenter study.
Abstract: Purpose: To evaluate and confirm efficacy and safety of electrochemotherapy with bleomycin or cisplatin on cutaneous and subcutaneous tumour nodules of patients with malignant melanoma and other malignancies in a multicenter study. Patients and methods: This was a two year long prospective non-randomised study on 41 patients evaluable for response to treatment and 61 evaluable for toxicity. Four cancer centers enrolled patients with progressive cutaneous and subcutaneous metastases of any histologically proven cancer. The skin lesions were treated by electrochemotherapy, using application of electric pulses to the tumours for increased bleomycin or cisplatin delivery into tumour cells. The treatment was performed using intravenous or intratumoural drug injection, followed by application of electric pulses generated by a Cliniporator TM using plate or needle electrodes. Tumour response to electrochemotherapy as well as possible sideeffects with respect to the treatment approach, tumour histology and location of the tumour nodules and electrode type were evaluated. Results: An objective response rate of 85% (73.7% complete response rate) was achieved on the electrochemotherapy treated tumour nodules, regardless of tumour histology, and drug used or route of its administration. At 150 days after the treatment (median follow up was 133 days and range 60‐380 days) local tumour control rate for electrochemotherapy was 88% with bleomycin given intravenously, 73% with bleomycin given intratumourally and 75% with cisplatin given intratumourally, demonstrating that all three approaches were

773 citations

Book ChapterDOI
01 Jan 2004
TL;DR: Pajek (spider, in Slovene) is a program package, for Windows (32 bit), for analysis and visualization of large networks (having thousands of vertices) that is freely available, for noncommercial use, at its home page.
Abstract: Pajek (spider, in Slovene) is a program package, for Windows (32 bit), for analysis and visualization of large networks (having thousands of vertices). It is freely available, for noncommercial use, at its home page: http://vlado.fmf.uni-lj.si/pub/networks/pajek/

772 citations

Journal ArticleDOI
TL;DR: By combining the higher activity of CoSx building blocks with the higher stability of MoSx units into a compact and robust CoMoSx chalcogel structure, this work is able to design a low-cost alternative to noble metal catalysts for efficient electrocatalytic production of hydrogen in both alkaline and acidic environments.
Abstract: Three of the fundamental catalytic limitations that have plagued the electrochemical production of hydrogen for decades still remain: low efficiency, short lifetime of catalysts and a lack of low-cost materials. Here, we address these three challenges by establishing and exploring an intimate functional link between the reactivity and stability of crystalline (CoS2 and MoS2) and amorphous (CoSx and MoSx) hydrogen evolution catalysts. We propose that Co(2+) and Mo(4+) centres promote the initial discharge of water (alkaline solutions) or hydronium ions (acid solutions). We establish that although CoSx materials are more active than MoSx they are also less stable, suggesting that the active sites are defects formed after dissolution of Co and Mo cations. By combining the higher activity of CoSx building blocks with the higher stability of MoSx units into a compact and robust CoMoSx chalcogel structure, we are able to design a low-cost alternative to noble metal catalysts for efficient electrocatalytic production of hydrogen in both alkaline and acidic environments.

768 citations

Proceedings ArticleDOI
07 Jun 2015
TL;DR: This work trains a convolutional neural network to predict how well two image patches match and uses it to compute the stereo matching cost, which achieves an error rate of 2.61% on the KITTI stereo dataset.
Abstract: We present a method for extracting depth information from a rectified image pair. We train a convolutional neural network to predict how well two image patches match and use it to compute the stereo matching cost. The cost is refined by cross-based cost aggregation and semiglobal matching, followed by a left-right consistency check to eliminate errors in the occluded regions. Our stereo method achieves an error rate of 2.61% on the KITTI stereo dataset and is currently (August 2014) the top performing method on this dataset.

762 citations

Journal ArticleDOI
TL;DR: The extent and role of the research area of predictive data mining and a framework to cope with the problems of constructing, assessing and exploiting data mining models in clinical medicine are discussed and proposed.

753 citations


Authors

Showing all 17388 results

NameH-indexPapersCitations
David Miller2032573204840
Hyun-Chul Kim1764076183227
James M. Tour14385991364
Carmen García139150396925
Bernt Schiele13056870032
Vladimir Cindro129115782000
Teresa Barillari12998478782
Sven Menke129112182034
Horst Oberlack12998580069
Hubert Kroha129112680746
Peter Schacht129103080092
Siegfried Bethke1291266103520
Igor Mandić128106579498
Stefan Kluth128126184534
Andrej Gorišek12895167830
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202390
2022331
20213,150
20203,110
20192,780
20182,479