Publikationen

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1. Fabrizio Nunnari; Md Abdul Kadir; Daniel Sonntag

   On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images

   In: Andreas Holzinger; Peter Kieseberg; A. Min Tjoa; Edgar Weippl (Hrsg.). Machine Learning and Knowledge Extraction. International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) (CD-MAKE-2021), August 17-20, Virtual, Pages 241-253, LNCS, Vol. 12844, ISBN 978-3-030-84060-0, Springer International Publishing, 2021.

2. Fabrizio Nunnari; Hasan Md Tusfiqur Alam; Daniel Sonntag

   Anomaly Detection for Skin Lesion Images Using Replicator Neural Networks

   In: Andreas Holzinger; Peter Kieseberg; A. Min Tjoa; Edgar Weippl (Hrsg.). Machine Learning and Knowledge Extraction. International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) (CD-MAKE-2021), August 17-20, Virtual, Pages 225-240, LNCS, Vol. 12844, ISBN 978-3-030-84060-0, Springer International Publishing, 2021.

3. Fabrizio Nunnari; Abraham Ezema; Daniel Sonntag

   The effects of masking in melanoma image classification with CNNs towards international standards for image preprocessing

   In: 2020 EAI International Symposium on Medical Artificial Intelligence. EAI International Symposium on Medical Artificial Intelligence (MedAI-2020), December 18, Online-Conference, EAI, 12/2020.

4. Ho Minh Duy Nguyen; Abraham Ezema; Fabrizio Nunnari; Daniel Sonntag

   A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net

   In: KI 2020: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2020), 43rd, September 21-25, Bamberg, Germany, Pages 313-319, Lecture Notes in Computer Science (LNCS), Vol. 12325, Springer, 9/2020.

5. Daniel Sonntag; Fabrizio Nunnari; Hans-Jürgen Profitlich

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

   Technical Report, BMBF, H2020, DFKI Research Reports (RR), Vol. 1, 5/2020.

6. Fabrizio Nunnari; Chirag Bhuvaneshwara; Abraham Obinwanne Ezema; Daniel Sonntag

   A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images

   In: Andreas Holzinger; Peter Kieseberg; A Min Tjoa; Edgar Weippl (Hrsg.). Machine Learning and Knowledge Extraction. International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) (CD-MAKE-2020), August 25-28, Dublin, Ireland, Pages 191-208, ISBN 978-3-030-57321-8, Springer International Publishing, 2020.

7. Daniel Sonntag

   Wie funktionieren neuronale Netze eigentlich?

   DFKI, DFKI Technical Memos (TM), Vol. 1, 9/2019.

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