Search Results - "RINNER, C"

Perilesional sun damage as a diagnostic clue for pigmented actinic keratosis and Bowen’s disease by Weber, P., Sinz, C., Rinner, C., Kittler, H., Tschandl, P.

“…Background Chronic sun damage in the background is common in pigmented actinic keratoses and Bowen’s disease (pAK/BD). While explainable artificial…”
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Assessment of melanoma thickness based on dermoscopy images: an open, web‐based, international, diagnostic study by Polesie, S., Gillstedt, M., Kittler, H., Rinner, C., Tschandl, P., Paoli, J.

“…Background Preoperative assessment of whether a melanoma is invasive or in situ (MIS) is a common task that might have important implications for triage,…”
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GRB 110205A: ANATOMY OF A LONG GAMMA-RAY BURST by GENDRE, B, ATTEIA, J. L, VACHIER, F, BOËR, M, COLAS, F, KLOTZ, A, KUGEL, F, LAAS-BOUREZ, M, RINNER, C, STRAJNIC, J, STRATTA, G

“…The Swift burst GRB 110205A was a very bright burst visible in the Northern Hemisphere. GRB 110205A was intrinsically long and very energetic and it occurred…”
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Semantic validation of standard-based electronic health record documents with W3C XML schema by Rinner, C, Janzek-Hawlat, S, Sibinovic, S, Duftschmid, G

“…The goal of this article is to examine whether W3C XML Schema provides a practicable solution for the semantic validation of standard-based electronic health…”
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JADE: A tool for medical researchers to explore adverse drug events using health claims data by Edlinger, D., Sauter, S.K., Rinner, C., Neuhofer, L.M., Wolzt, M., Grossmann, W., Endel, G., Gall, W.

“…Summary Objective: The objective of our project was to create a tool for physicians to explore health claims data with regard to adverse drug reactions. The…”
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Geomatics in injury prevention: the science, the potential and the limitations by Cusimano, M D, Chipman, M, Glazier, R H, Rinner, C, Marshall, S P

“…Background: Geomatics describes the activities involved in acquiring and managing geographical data and producing geographical information for scientific,…”
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Estimation of severe drug-drug interaction warnings by medical specialist groups for Austrian nationwide eMedication by Rinner, C., Sauter, S. K., Neuhofer, L. M., Edlinger, D., Grossmann, W., Wolzt, M., Endel, G., Gall, W.

“…Summary Objective: The objective of this study is to estimate the amount of severe drug-drug interaction warnings per medical specialist group triggered by…”
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Human–computer collaboration for skin cancer recognition by Tschandl, Philipp, Rinner, Christoph, Apalla, Zoe, Argenziano, Giuseppe, Codella, Noel, Halpern, Allan, Janda, Monika, Lallas, Aimilios, Longo, Caterina, Malvehy, Josep, Paoli, John, Puig, Susana, Rosendahl, Cliff, Soyer, H. Peter, Zalaudek, Iris, Kittler, Harald

“…The rapid increase in telemedicine coupled with recent advances in diagnostic artificial intelligence (AI) create the imperative to consider the opportunities…”
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Argumentation Maps: GIS-Based Discussion Support for On-Line Planning by Rinner, Claus

“…Information technology plays a growing role in planning procedures. A procedure step which has not been supported by specific computer tools up to now, is…”
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Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study by Tschandl, Philipp, Codella, Noel, Akay, Bengü Nisa, Argenziano, Giuseppe, Braun, Ralph P, Cabo, Horacio, Gutman, David, Halpern, Allan, Helba, Brian, Hofmann-Wellenhof, Rainer, Lallas, Aimilios, Lapins, Jan, Longo, Caterina, Malvehy, Josep, Marchetti, Michael A, Marghoob, Ashfaq, Menzies, Scott, Oakley, Amanda, Paoli, John, Puig, Susana, Rinner, Christoph, Rosendahl, Cliff, Scope, Alon, Sinz, Christoph, Soyer, H Peter, Thomas, Luc, Zalaudek, Iris, Kittler, Harald

“…Whether machine-learning algorithms can diagnose all pigmented skin lesions as accurately as human experts is unclear. The aim of this study was to compare the…”
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Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks by Tschandl, Philipp, Rosendahl, Cliff, Akay, Bengu Nisa, Argenziano, Giuseppe, Blum, Andreas, Braun, Ralph P, Cabo, Horacio, Gourhant, Jean-Yves, Kreusch, Jürgen, Lallas, Aimilios, Lapins, Jan, Marghoob, Ashfaq, Menzies, Scott, Neuber, Nina Maria, Paoli, John, Rabinovitz, Harold S, Rinner, Christoph, Scope, Alon, Soyer, H Peter, Sinz, Christoph, Thomas, Luc, Zalaudek, Iris, Kittler, Harald

“…Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, the most common types of skin…”
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Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin by Sinz, Christoph, Tschandl, Philipp, Rosendahl, Cliff, Akay, Bengu Nisa, Argenziano, Giuseppe, Blum, Andreas, Braun, Ralph P., Cabo, Horacio, Gourhant, Jean-Yves, Kreusch, Juergen, Lallas, Aimilios, Lapins, Jan, Marghoob, Ashfaq A., Menzies, Scott W., Paoli, John, Rabinovitz, Harold S., Rinner, Christoph, Scope, Alon, Soyer, H. Peter, Thomas, Luc, Zalaudek, Iris, Kittler, Harald

“…Nonpigmented skin cancer is common, and diagnosis with the unaided eye is error prone. To investigate whether dermatoscopy improves the diagnostic accuracy for…”
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GRANDMA and HXMT Observations of GRB 221009A: The Standard Luminosity Afterglow of a Hyperluminous Gamma-Ray Burst—In Gedenken an David Alexander Kann by Kann, D. A., Agayeva, S., Aivazyan, V., Andrade, C. M., Antier, S., Bendjoya, P., Benkhaldoun, Z., Beradze, S., Berezin, D., Boër, M., Broens, E., Brunier, S., Burkhonov, O., Burns, E., Conti, M., Coughlin, M. W., Cui, W. W., Daigne, F., Delaveau, B., Devillepoix, H. A. R., Dietrich, T., Dornic, D., Dubois, F., Ducoin, J.-G., Durand, E., Duverne, P.-A., Eggenstein, H.-B., Ehgamberdiev, S., Freeberg, M., Froebrich, D., Ge, M. Y., Godunova, V., Gokuldass, P., Gurbanov, E., Han, D. W., Hasanov, E., Hello, P., Hussenot-Desenonges, T., Inasaridze, R., Iskandar, A., Ismailov, N., Janati, A., du Laz, T. Jegou, Jia, S. M., Karpov, S., Kaeouach, A., Kiendrebeogo, R. W., Klotz, A., Kneip, R., Kochiashvili, N., Kunert, N., Lekic, A., Leonini, S., Li, C. K., Li, W., Li, X. B., Logie, L., Lu, F. J., Mao, J., Marchais, D., Ménard, R., Morris, D., Natsvlishvili, R., Nedora, V., Noonan, K., Orange, N. B., Peng, H. W., Pellouin, C., Peloton, J., Pradier, T., Pyshna, O., Rajabov, Y., Rau, S., Rinner, C., Rivet, J.-P., Romanov, F. D., Rosi, P., Rupchandani, V. A., Serrau, M., Simon, A., Sokoliuk, O., Soliman, M., Song, L. M., Takey, A., Tillayev, Y., Ramirez, L. M. Tinjaca, e Melo, I. Tosta, Turpin, D., de Ugarte Postigo, A., Vanaverbeke, S., Vasylenko, V., Vernet, D., Vidadi, Z., Wang, X. F., Xiong, S. L., Xue, W. C., Zeng, X., Zhang, S. N., Zhao, H. S., Zhao, X. F.

“…Abstract Object GRB 221009A is the brightest gamma-ray burst (GRB) detected in more than 50 yr of study. In this paper, we present observations in the X-ray…”
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The use of Web 2.0 concepts to support deliberation in spatial decision-making by Rinner, Claus, Keßler, Carsten, Andrulis, Stephen

“…Technologies associated with the second-generation of the World-Wide Web enable virtually anyone to share their data, documents, observations, and opinions on…”
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Utility assessment of a map-based online geo-collaboration tool by Sidlar, Christopher L., Rinner, Claus

“…Spatial group decision-making processes often include both informal and analytical components. Discussions among stakeholders or planning experts are an…”
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Evaluating Community Engagement through Argumentation Maps—A Public Participation GIS Case Study by Rinner, Claus, Bird, Michelle

“…Significant advances in public participation geographic information systems technology and online mapping platforms have not translated into enhanced citizen…”
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Evaluating web-based static, animated and interactive maps for injury prevention by Cinnamon, Jonathan, Rinner, Claus, Cusimano, Michael D, Marshall, Sean, Bakele, Tsegaye, Hernandez, Tony, Glazier, Richard H, Chipman, Mary L

“…Public health planning can benefit from visual exploration and analysis of geospatial data. Maps and geovisualization tools must be developed with the…”
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Geomatics in injury prevention: the science, the potential and the limitations: Figure 1 by Cusimano, M D, Chipman, M, Glazier, R H, Rinner, C, Marshall, S P

“…Background: Geomatics describes the activities involved in acquiring and managing geographical data and producing geographical information for scientific,…”
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Ready for O4 II: GRANDMA Observations of Swift GRBs during eight-weeks of Spring 2022 by Melo, I. Tosta e, Ducoin, J. -G, Vidadi, Z, Rupchandani, V, Agayeva, S, Abdelhadi, J, Abe, L, Aguerre-Chariol, O, Aivazyan, V, Alishov, S, Antier, S, Bai, J. -M, Baransky, A, Bednarz, S, Bendjoya, Ph, Benkhaldoun, Z, Beradze, S, Bizouard, M. A, Bhardwaj, U, Blazek, M, Boër, M, Broens, E, Burkhonov, O, Christensen, N, Cooke, J, Corradi, W, Coughlin, M. W, Culino, T, Daigne, F, Dornic, D, Ehgamberdiev, S, Eymar, L, Fouad, A, Freeberg, M, Gendre, B, Guo, F, Gokuldass, P, Hainich, R, Hasanov, E, Hello, P, Inasaridze, R, Iskandar, A, Ismailov, N, Janati, A, Laz, T. Jegou du, Kann, D. A, Karpov, S, Klotz, A, Kneip, R, Kochiashvili, N, Kaeouach, A, Kruiswijk, K, Lamoureux, M, Leroy, N, Lin, W. L, Mao, J, Marchais, D, Mašek, M, Midavaine, T, Moller, A, Morris, D, Natsvlishvili, R, Navarete, F, Guelbenzu, A Nicuesa, Noonan, K, Noysena, K, Oksanen, A, Pellouin, C, Peloton, J, Peng, H. W, Pilloix, M, Popowicz, A, Pradier, T, Pyshna, O, Raaijmakers, G, Rajabov, Y, Rau, A, Rinner, C, Rivet, J. -P, Ryh, A. S, Sabil, M, Sadibekova, T, Sasaki, N, Simon, A, Shokry, A, Smith, K, Sokoliuk, O, Song, X, Takey, A, Thierry, P, Tillayev, Y, Turpin, D, Postigo, A. de Ugarte, Vernet, D, Wang, L, Vachier, F, Vignes, J. P, Wang, X. F, Zhang, J, Zhu, Y

“…We present a campaign designed to train the GRANDMA network and its infrastructure to follow up on transient alerts and detect their early afterglows. In…”
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GRANDMA and HXMT Observations of GRB 221009A -- the Standard-Luminosity Afterglow of a Hyper-Luminous Gamma-Ray Burst by Kann, D. A, Agayeva, S, Aivazyan, V, Alishov, S, Andrade, C. M, Antier, S, Baransky, A, Bendjoya, P, Benkhaldoun, Z, Beradze, S, Berezin, D, Boër, M, Broens, E, Bulla, M, Burkhonov, O, Chen, Y, Coughlin, M. W, Cui, W. W, Daigne, F, Delaveau, B, Devillepoix, H. A. R, Dietrich, T, Dornic, D, Dubois, F, Ducoin, J. -G, Duverne, P. -A, Eggenstein, H. -B, Ehgamberdiev, S, Fouad, A, Freeberg, M, Froebrich, D, Ge, M. Y, Gervasoni, S, Godunova, V, Han, D. W, Hasanov, E, Hello, P, Hussenot-Desenonges, T, Inasaridze, R, Iskandar, A, Ismailov, N, Janati, A, Jia, S. M, Karpov, S, Kaeouach, A, Kiendrebeogo, R. W, Kneip, R, Kochiashvili, N, Kunert, N, Lekic, A, Leonini, S, Li, W, Li, X. B, Liao, J. Y, Logie, L, Lu, F. J, Mao, J, Marchais, D, Ménard, R, Morris, D, Natsvlishvili, R, Nedora, V, Noonan, K, Orange, N. B, Pang, P. T. H, Peng, H. W, Pellouin, C, Peloton, J, Pradier, T, Pyshna, O, Rajabo, Y, Rau, S, Rinner, C, Rivet, J. -P, Romanov, F. D, Rosi, P, Rupchandani, V. A, Serrau, M, Shokry, A, Simon, A, Song, L. M, Takey, A, Tillayev, Y, Ramirez, L. M. Tinjaca, Turpin, D, Postigo, A. de Ugarte, Vanaverbeke, S, Vasylenko, V, Vernet, D, Vidadi, Z, Wang, C, Wang, J, Wang, L. T, Wang, X. F, Xiong, Shaolin L, Xu, Y. P, Xue, W. C, Zhang, S. N, Zhao, H. S, Zhao, X. F

“…GRB 221009A is the brightest Gamma-Ray Burst (GRB) detected in more than 50 years of study. In this paper, we present observations in the X-ray and optical…”
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