1,721,025 research outputs found
Supplemental Material - The angio-architectural features of brain arteriovenous malformations: is it possible to predict the probability of rupture?
No full textSupplemental Material for The angio-architectural features of brain arteriovenous malformations: is it possible to predict the probability of rupture? by Arianna Rustici, Francesca Vari, Carmelo Sturiale, Alfredo Conti, Antonino Scibilia, Carlo Bortolotti, Raffaele Agati, Caterina Tonon, Raffaele Lodi, Diego Mazzatenta, Matteo Zoli, Ciro Princiotta, Massimo Dall’Olio and Luigi Cirillo in The Neuroradiology Journal</p
Erratum to Targeted BRAF and CTNNB1 next-generation sequencing allows proper classification of nonadenomatous lesions of the sellar region in samples with limiting amounts of lesional cells (Pituitary, (2015),10.1007/s11102-015-0669-y)
No full textDue to administrative changes involving the Institution, where the coauthors Matteo Zoli, Diego Mazzatenta, and Giorgio Frank are affiliated with, the authors have become part of the Institute of Neurological Sciences (of Bologna)
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
3D Virtual Modeling for Morphological Characterization of Pituitary Tumors: Preliminary Results on Its Predictive Role in Tumor Resection Rate
Full text linkAmong potential factors affecting the surgical resection in pituitary tumors, the role of tumor three-dimensional (3D) features is still unexplored. The aim of this study is to introduce the use of 3D virtual modeling for geometrical and morphological characterization of pituitary tumors and to evaluate its role as a predictor of total tumor removal. A total of 75 patients operated for a pituitary tumor have been retrospectively reviewed. Starting from patient imaging, a 3D tumor model was reconstructed, and 3D characterization based on tumor volume (Vol), area, sphericity (Spher), and convexity (Conv) was provided. The extent of tumor removal was then evaluated at post-operative imaging. Mean values were obtained for Vol (9117 ± 8423 mm3), area (2352 ± 1571 mm2), Spher (0.86 ± 0.08), and Conv (0.88 ± 0.08). Total tumor removal was achieved in 57 (75%) cases. The standard prognostic Knosp grade, Vol, and Conv were found to be independent factors, significantly predicting the extent of tumor removal. Total tumor resection correlated with lower Knosp grades (p = 0.032) and smaller Vol (p = 0.015). Conversely, tumors with a more irregular shape (low Conv) have an increased chance of incomplete tumor removal (p = 0.022). 3D geometrical and morphological features represent significant independent prognostic factors for pituitary tumor resection, and they should be considered in pre-operative planning to allow a more accurate decision-making process
Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction
No full textLocalizing oneself during endoscopic procedures can be problematic
due to the lack of distinguishable textures and landmarks, as well
as difficulties due to the endoscopic device such as a limited field of view
and challenging lighting conditions. Expert knowledge shaped by years
of experience is required for localization within the human body during
endoscopic procedures. In this work, we present a deep learning method
based on anatomy recognition, that constructs a surgical path in an unsupervised
manner from surgical videos, modelling relative location and
variations due to different viewing angles. At inference time, the model
can map an unseen video’s frames on the path and estimate the viewing
angle, aiming to provide guidance, for instance, to reach a particular destination.
We test the method on a dataset consisting of surgical videos of
transsphenoidal adenomectomies, as well as on a synthetic dataset. An
online tool that lets researchers upload their surgical videos to obtain
anatomy detections and the weights of the trained YOLOv7 model are
available at: https://surgicalvision.bmic.ethz.ch
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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