Search Results for author: Daniel Sonntag

Found 20 papers, 3 papers with code

Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

no code implementations4 Dec 2022 Duy M. H. Nguyen, Hoang Nguyen, Mai T. N. Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag

Recent breakthroughs in self-supervised learning (SSL) offer the ability to overcome the lack of labeled training samples by learning feature representations from unlabeled data.

A survey on improving NLP models with human explanations

no code implementations LNLS (ACL) 2022 Mareike Hartmann, Daniel Sonntag

Training a model with access to human explanations can improve data efficiency and model performance on in- and out-of-domain data.

LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking

no code implementations CVPR 2022 Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda

Multi-Camera Multi-Object Tracking is currently drawing attention in the computer vision field due to its superior performance in real-world applications such as video surveillance in crowded scenes or in wide spaces.

Association Multi-Object Tracking +1

A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report

no code implementations20 May 2021 Hans-Jürgen Profitlich, Daniel Sonntag

We describe our work on information extraction in medical documents written in German, especially detecting negations using an architecture based on the UIMA pipeline.

Dependency Parsing

TATL: Task Agnostic Transfer Learning for Skin Attributes Detection

no code implementations4 Apr 2021 Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag

Existing skin attributes detection methods usually initialize with a pre-trained Imagenet network and then fine-tune on a medical target task.

Transfer Learning

A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task

no code implementations11 Jul 2020 Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag

The aim of ImageCLEFmed Caption task is to develop a system that automatically labels radiology images with relevant medical concepts.

The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report

no code implementations19 May 2020 Daniel Sonntag, Fabrizio Nunnari, Hans-Jürgen Profitlich

However, the main contribution is a diagnostic and decision support system in dermatology for patients and doctors, an interactive deep learning system for differential diagnosis of malignant skin lesions.

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

no code implementations27 Aug 2019 Michael Barz, Daniel Sonntag

Our contributions are: (1) we generate a QA training corpus starting from 877 answers from the customer care domain of T-Mobile Austria, (2) we implement a state-of-the-art QA pipeline using neural sentence embeddings that encode queries in the same space than the answer index, and (3) we evaluate the QA pipeline and our re-ranking approach using a separately provided test set.

Answer Selection BIG-bench Machine Learning +2

A CNN toolbox for skin cancer classification

no code implementations21 Aug 2019 Fabrizio Nunnari, Daniel Sonntag

We describe a software toolbox for the configuration of deep neural networks in the domain of skin cancer classification.

AutoML Classification +3

Interactive Cognitive Assessment Tools: A Case Study on Digital Pens for the Clinical Assessment of Dementia

no code implementations11 Oct 2018 Daniel Sonntag

Interactive cognitive assessment tools may be valuable for doctors and therapists to reduce costs and improve quality in healthcare systems.

A categorisation and implementation of digital pen features for behaviour characterisation

1 code implementation1 Oct 2018 Alexander Prange, Michael Barz, Daniel Sonntag

In this paper we provide a categorisation and implementation of digital ink features for behaviour characterisation.

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

no code implementations13 Mar 2018 Jan Zacharias, Michael Barz, Daniel Sonntag

This paper provides an overview of prominent deep learning toolkits and, in particular, reports on recent publications that contributed open source software for implementing tasks that are common in intelligent user interfaces (IUI).

A Multimodal Dialogue System for Medical Decision Support inside Virtual Reality

no code implementations WS 2017 Alex Prange, er, Margarita Chikobava, Peter Poller, Michael Barz, Daniel Sonntag

We present a multimodal dialogue system that allows doctors to interact with a medical decision support system in virtual reality (VR).

Towards a New Science of a Clinical Data Intelligence

no code implementations17 Nov 2013 Volker Tresp, Sonja Zillner, Maria J. Costa, Yi Huang, Alexander Cavallaro, Peter A. Fasching, Andre Reis, Martin Sedlmayr, Thomas Ganslandt, Klemens Budde, Carl Hinrichs, Danilo Schmidt, Philipp Daumke, Daniel Sonntag, Thomas Wittenberg, Patricia G. Oppelt, Denis Krompass

We argue that a science of a Clinical Data Intelligence is sensible in the context of a Big Data analysis, i. e., with data from many patients and with complete patient information.

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