Johannes Rückert

University of Applied Science and Arts Dortmund | FH Dortmund · Faculty of Computer Science

In this paper, we provide an overview of the upcoming ImageCLEF campaign. ImageCLEF is part of the CLEF Conference and Labs of the Evaluation Forum since 2003. ImageCLEF, the Multimedia Retrieval task in CLEF, is an ongoing evaluation initiative that promotes the evaluation of technologies for annotation, indexing, and retrieval of multimodal data...

The new recommended definition of a nanomaterial, 2022/C 229/01, adopted by the European Commission in 2022, will have a considerable impact on European Union legislation addressing chemicals, and therefore tools to implement this new definition are urgently needed. The updated NanoDefiner framework and its e-tool implementation presented here are...

The 2022 ImageCLEFmedical caption prediction and concept detection tasks follow similar challenges that were already run from 2017–2021. The objective is to extract Unified Medical Language System (UMLS) concept annotations and/or captions from the image data that are then compared against the original text captions of the images. The images used f...

This paper presents an overview of the ImageCLEF 2022 lab that was organized as part of the Conference and Labs of the Evaluation Forum – CLEF Labs 2022. ImageCLEF is an ongoing evaluation initiative (first run in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing infor...

This paper presents an overview of the ImageCLEF 2022 lab that was organized as part of the Conference and Labs of the Evaluation Forum – CLEF Labs 2022. ImageCLEF is an ongoing evaluation initiative (first run in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing infor...

Hearing-impaired people are exposed to greater dangers in everyday life, due to the fact that they are not able to perceive danger and warning signals. This paper addresses this problem by developing an application, that could help by classifying and detecting the direction of ambient sounds using Microsoft HoloLens 2 devices. The developed applica...

ImageCLEF s part of the Conference and Labs of the Evaluation Forum (CLEF) since 2003. CLEF 2022 will take place in Bologna, Italy. ImageCLEF is an ongoing evaluation initiative which promotes the evaluation of technologies for annotation, indexing, and retrieval of visual data with the aim of providing information access to large collections of im...

There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of systematic comparisons of state-of-the-art deep learning object detection frameworks applied to this problem. DFUC2020 provided participants with a comprehensive dataset c...

Graduating computer science students with skills sufficient for industrial needs is a priority in higher education teaching. Project-based approaches are promising to develop practical and social skills, needed to address real-world problems in teams. However, rapid technological transition makes an initial training of contemporary methods challeng...

There has been a substantial amount of research on computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of systematic comparisons of state-of-the-art deep learning object detection frameworks applied to this problem. With recent development and data sharing performed as part of the DF...

Snake species identification based on images is important to quickly treat patients suffering from snake bites using the correct antivenom. The SnakeCLEF 2020 challenge, which is part of the LifeCLEF research platform, is focused on this task and provides snake images and associated location information. This paper describes the participation of th...

This paper considers approaches used to localise and annotate coral reef structures in underwater images. Beside the actual localisation and annotation the focus laid on image pre-processing and their evaluation. Underwater images differ from terrestrial images in illumination , acuity and colour which make them more blurred with a green and blue c...

The European Commission’s recommendation on the definition of nanomaterial (2011/696/EU) established an applicable standard for material categorization. However, manufacturers face regulatory challenges during registration of their products. Reliable categorization is difficult and requires considerable expertise in existing measurement techniques...

Einleitung: Hochschullehre technischer Disziplinen wird klassischerweise in strukturierten Vorlesungs-, Übungs- und Praktikumseinheiten organisiert. Theoretischer und praktischer Kontakt mit relevanten Methoden und Technologien ist hierbei gegeben. Studierende werden jedoch oftmals nicht mit Fragestellungen konfrontiert, welche hochaktuell, praxisr...

This work introduces a new multimodal image dataset, with the aim of detecting the interplay between visual elements and semantic relations present in radiology images. The objective is accomplished by retrieving all image-caption pairs from the open-access biomedical literature database PubMedCentral, as these captions describe the visual content...

In this paper the NanoDefiner e-tool for classification of potential nanomaterial, according to the European Commission's definition, is introduced. Its knowledge base enables rule-based multi-criteria decision making on recommendation of suitable measurement techniques for a specific material. Its rule base was established with help of experts fro...

This conference abstract addresses the knowledge storage and representation principles of an early NanoDefiner e-tool prototype implementation. When referring to the NanoDefiner e-tool, please use the following most recent journal article: Brüngel et al. 2019, "NanoDefiner e-Tool: An Implemented Decision Support Framework for Nanomaterial Identifi...

This conference abstract addresses an early prototype implementation of the NanoDefiner e-tool for material classification. When referring to the NanoDefiner e-tool, please use the following most recent journal article: Brüngel et al. 2019, "NanoDefiner e-Tool: An Implemented Decision Support Framework for Nanomaterial Identification", Materials,...