11 citations · 27 across the 8 of their papers we have counts for
8 papers
Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust
Md Abdul Kadir, Fabrizio Nunnari, Daniel Sonntag
In this paper, we propose a CNN fine-tuning method which enables users to give simultaneous feedback on two outputs: the classification itself and the visual explanation for the cl…
Towards social embodied cobots: The integration of an industrial cobot with a social virtual agent
Matteo Lavit Nicora, Sebastian Beyrodt, Dimitra Tsovaltzi +3
The integration of the physical capabilities of an industrial collaborative robot with a social virtual character may represent a viable solution to enhance the workers' perception…
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification
Ellák Somfai, Benjámin Baffy, Kristian Fenech +8
Our goal is to bridge human and machine intelligence in melanoma detection. We develop a classification system exploiting a combination of visual pre-processing, deep learning, and…
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images
Duy M. H. Nguyen, Duy M. Nguyen, Huong Vu +3
Until now, Coronavirus SARS-CoV-2 has caused more than 850,000 deaths and infected more than 27 million individuals in over 120 countries. Besides principal polymerase chain reacti…
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
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. We describe our Deep Neural Network (DNN) bas…
The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report
Daniel Sonntag, Fabrizio Nunnari, Hans-Jürgen Profitlich
A shortage of dermatologists causes long wait times for patients who seek dermatologic care. In addition, the diagnostic accuracy of general practitioners has been reported to be l…
A CNN toolbox for skin cancer classification
Fabrizio Nunnari, Daniel Sonntag
We describe a software toolbox for the configuration of deep neural networks in the domain of skin cancer classification. The implemented software architecture allows developers to…
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari +4
Articulated hand pose and shape estimation is an important problem for vision-based applications such as augmented reality and animation. In contrast to the existing methods which…