Ivan Eggel

article

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

Oscar Jimenez-del-Toro, Henning Muller, Markus Krenn, Katharina Gruenberg, more

IEEE Transactions on Medical Imaging > 2016 > 35 > 11 > 2459 - 2475

Variations in the shape and appearance of anatomical structures in medical images are often relevant radiological signs of disease. Automatic tools can help automate parts of this manual process. A cloud–based evaluation framework is presented in this paper including results of benchmarking current state–of–the–art medical imaging algorithms for anatomical structure segmentation and landmark detection:...

chapter

The MedGIFT Group at ImageCLEF 2009

Xin Zhou, Ivan Eggel, Henning Müller

Lecture Notes in Computer Science > Multilingual Information Access Evaluation II. Multimedia Experiments > ImageCLEFmed > 211-218

MedGIFT is a medical imaging group of the Geneva University Hospitals and the University of Geneva, Switzerland. Since 2004, the group has participated ImageCLEF each year, focusing on the medical imaging tasks. For the medical image retrieval task, two existing retrieval engines were used: the GNU Image Finding Tool (GIFT) for visual retrieval and Apache Lucene for text. Various strategies were applied...

chapter

The ImageCLEF Management System

Ivan Eggel, Henning Müller

Lecture Notes in Computer Science > Multilingual Information Access Evaluation II. Multimedia Experiments > ImageCLEF Mixed > 332-339

The ImageCLEF image retrieval track has been part of CLEF (Cross Language Evaluation Forum) since 2003. Organizing ImageCLEF and its large participation of research groups involves a considerable amount of work and data to manage. Goal of the management system described in this paper was to create a system for the organization of ImageCLEF to reduce manual work and professionalize the structures....

chapter

Overview of the CLEF 2009 Medical Image Retrieval Track

Henning Müller, Jayashree Kalpathy–Cramer, Ivan Eggel, Steven Bedrick, more

Lecture Notes in Computer Science > Multilingual Information Access Evaluation II. Multimedia Experiments > II: Cross-Language Retrieval in Image Collections (ImageCLEF) > 72-84

2009 was the sixth year for the ImageCLEF medical retrieval task. Participation was strong again with 38 registered research groups. 17 groups submitted runs and thus participated actively in the tasks. The database in 2009 was similar to the one used in 2008, containing scientific articles from two radiology journals, Radiology and Radiographics. The size of the database was increased to a total...

article

Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS

Maria De-Arteaga, Ivan Eggel, Bao Do, Daniel Rubin, more

Journal of Biomedical Informatics > 2015 > 56 > Complete > 57-64

Information search has changed the way we manage knowledge and the ubiquity of information access has made search a frequent activity, whether via Internet search engines or increasingly via mobile devices. Medical information search is in this respect no different and much research has been devoted to analyzing the way in which physicians aim to access information. Medical image search is a much...

article

Analyzing Medical Image Search Behavior: Semantics and Prediction of Query Results

Maria De-Arteaga, Ivan Eggel, Charles E. Kahn, Henning Müller

Journal of Digital Imaging > 2015 > 28 > 5 > 537-546

Log files of information retrieval systems that record user behavior have been used to improve the outcomes of retrieval systems, understand user behavior, and predict events. In this article, a log file of the ARRS GoldMiner search engine containing 222,005 consecutive queries is analyzed. Time stamps are available for each query, as well as masked IP addresses, which enables to identify queries...

chapter

Using MapReduce for Large-Scale Medical Image Analysis

Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Muller, more

2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology > 1

2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology (HISB)

The growth of medical image data produced on a daily basis in modern hospitals forces the adaptation of traditional medical image analysis and indexing approach to scalable solutions. The number of images and their dimensionality increased dramatically during the past 20 years. We propose solutions for largescale medical image analysis based on parallel computing and algorithm optimization. The MapReduce...

article

Mobile Medical Visual Information Retrieval

Adrien Depeursinge, Samuel Duc, Ivan Eggel, Henning Muller

IEEE Transactions on Information Technology in Biomedicine > 2012 > 16 > 1 > 53 - 61

In this paper, we propose mobile access to peer-reviewed medical information based on textual search and content-based visual image retrieval. Web-based interfaces designed for limited screen space were developed to query via web services a medical information retrieval engine optimizing the amount of data to be transferred in wireless form. Visual and textual retrieval engines with state-of-the-art...

INFONA - science communication portal

Search results for: Ivan Eggel

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

The MedGIFT Group at ImageCLEF 2009

The ImageCLEF Management System

Overview of the CLEF 2009 Medical Image Retrieval Track

Comparing image search behaviour in the ARRS GoldMiner search engine and a clinical PACS/RIS

Analyzing Medical Image Search Behavior: Semantics and Prediction of Query Results

Using MapReduce for Large-Scale Medical Image Analysis

Mobile Medical Visual Information Retrieval

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