Christoph Rinner
Christoph Rinner
Postdoc für Medizinische Informatik, Medizinische Universität Wien
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Cited by
Cited by
Human–computer collaboration for skin cancer recognition
P Tschandl, C Rinner, Z Apalla, G Argenziano, N Codella, A Halpern, ...
Nature medicine 26 (8), 1229-1234, 2020
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
P Tschandl, N Codella, BN Akay, G Argenziano, RP Braun, H Cabo, ...
The lancet oncology 20 (7), 938-947, 2019
Expert-level diagnosis of nonpigmented skin cancer by combined convolutional neural networks
P Tschandl, C Rosendahl, BN Akay, G Argenziano, A Blum, RP Braun, ...
JAMA dermatology 155 (1), 58-65, 2019
Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin
C Sinz, P Tschandl, C Rosendahl, BN Akay, G Argenziano, A Blum, ...
Journal of the American Academy of Dermatology 77 (6), 1100-1109, 2017
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge
M Combalia, N Codella, V Rotemberg, C Carrera, S Dusza, D Gutman, ...
The Lancet Digital Health 4 (5), e330-e339, 2022
Extraction of standardized archetyped data from Electronic Health Record systems based on the Entity-Attribute-Value Model
G Duftschmid, T Wrba, C Rinner
International journal of medical informatics 79 (8), 585-597, 2010
The EHR-ARCHE project: Satisfying clinical information needs in a Shared Electronic Health Record System based on IHE XDS and Archetypes
G Duftschmid, C Rinner, M Kohler, G Huebner-Bloder, S Saboor, ...
International journal of medical informatics 82 (12), 1195-1207, 2013
On Analyzing Process Compliance in Skin Cancer Treatment: An Experience Report from the Evidence-Based Medical Compliance Cluster (EBMC2)
M Binder, W Dorda, G Duftschmid, R Dunkl, KA Fröschl, W Gall, ...
Advanced Information Systems Engineering: 24th International Conference …, 2012
Semantic validation of standard-based electronic health record documents with W3C XML schema
C Rinner, S Janzek-Hawlat, S Sibinovic, G Duftschmid
Methods of information in medicine 49 (03), 271-280, 2010
Improving the informational continuity of care in diabetes mellitus treatment with a nationwide Shared EHR system: Estimates from Austrian claims data
C Rinner, SK Sauter, G Endel, G Heinze, S Thurner, P Klimek, ...
International journal of medical informatics 92, 44-53, 2016
Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience
G Duftschmid, J Chaloupka, C Rinner
BMC medical informatics and decision making 13, 1-12, 2013
Process mining and conformance checking of long running processes in the context of melanoma surveillance
C Rinner, E Helm, R Dunkl, H Kittler, S Rinderle-Ma
International journal of environmental research and public health 15 (12), 2809, 2018
A reinforcement learning model for AI-based decision support in skin cancer
C Barata, V Rotemberg, NCF Codella, P Tschandl, C Rinner, BN Akay, ...
Nature Medicine 29 (8), 1941-1946, 2023
Interval cancer after colonoscopy in the Austrian National Screening Programme: influence of physician and patient factors
E Waldmann, D Penz, H Šinkovec, G Heinze, C Rinner, L Jiricka, ...
Gut 70 (7), 1309-1317, 2021
Effects of shared electronic health record systems on drug‐drug interaction and duplication warning detection
C Rinner, W Grossmann, SK Sauter, M Wolzt, W Gall
BioMed Research International 2015 (1), 380497, 2015
Long‐term evaluation of the efficacy of digital dermatoscopy monitoring at a tertiary referral center
C Rinner, P Tschandl, C Sinz, H Kittler
JDDG: Journal der Deutschen Dermatologischen Gesellschaft 15 (5), 517-522, 2017
FHIR: A JSON based mapping
C Rinner, G Duftschmid
eHealth 2016, 2016
Creating ISO/EN 13606 archetypes based on clinical information needs
C Rinner, M Kohler, G Hübner-Bloder, S Saboor, E Ammenwerth, ...
e-Health Across Borders Without Boundaries, 43-48, 2011
A clinical data warehouse based on OMOP and i2b2 for Austrian health claims data
C Rinner, D Gezgin, C Wendl, W Gall
Health Informatics Meets eHealth, 94-99, 2018
Feasibility of mapping austrian health claims data to the OMOP common data model
A Haberson, C Rinner, A Schöberl, W Gall
Journal of medical systems 43, 1-5, 2019
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