Louise Bloch

PhD student, Fachhochschule Dortmund

PhD student, Universität Duisburg-Essen

Joined

November 2022

Names

Louise Bloch (Preferred)

Emails

****@fh-dortmund.de (Confirmed)

****@stud.fh-dortmund.de (Confirmed)

****@stud.uni-due.de (Confirmed)

Personal Links

Career & Education History

PhD student

Fachhochschule Dortmund (fh-dortmund.de)

2020 – Present

PhD student

Universität Duisburg-Essen (uni-duisburg-essen.de)

2020 – Present

MS student

Fachhochschule Dortmund (fh-dortmund.de)

2016 – 2020

Undergrad student

Fachhochschule Dortmund (fh-dortmund.de)

2013 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Christoph M. Friedrich

2020 – Present

PhD Advisor

Felix Nensa

2020 – Present

Expertise

Snake detection

deep learning

2020 – Present

Alzheimer's Disease

dementia

machine learning

deep learning

interpretable machine learning

explainable artificial intelligence

2018 – Present

Publications

Machine Learning Workflow to Explain Black-Box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets
Louise Bloch, Christoph M. Friedrich
- 2022 (modified: 05 Nov 2022)
- SN Comput. Sci. 2022
- Readers: Everyone
Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications
Bogdan Ionescu, Henning Müller, Renaud Péteri, Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Adrian Popescu, Jérôme Deshayes-Chossart, Hugo Schindler et al. (3 additional authors not shown)
- 2022 (modified: 05 Nov 2022)
- CLEF 2022
- Readers: Everyone
Combination of Object Detection, Geospatial Data, and Feature Concatenation for Snake Species Identification
Louise Bloch, Jan-Frederick Böckmann, Benjamin Bracke, Christoph M. Friedrich
- 2022 (modified: 05 Nov 2022)
- CLEF (Working Notes) 2022
- Readers: Everyone
ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications
Alba Garcia Seco de Herrera, Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Christoph M. Friedrich, Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Hugo Schindler, Jérôme Deshayes, Adrian Popescu et al. (3 additional authors not shown)
- 2022 (modified: 05 Nov 2022)
- ECIR (2) 2022
- Readers: Everyone
Overview of ImageCLEFmedical 2022 - Caption Prediction and Concept Detection
Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Henning Müller, Christoph M. Friedrich
- 2022 (modified: 05 Nov 2022)
- CLEF (Working Notes) 2022
- Readers: Everyone
Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets
Louise Bloch, Christoph M. Friedrich
- 2022 (modified: 05 Nov 2022)
- CoRR 2022
- Readers: Everyone
Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine Learning
Louise Bloch, Christoph M. Friedrich
- 2021 (modified: 05 Nov 2022)
- CBMS 2021
- Readers: Everyone
Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers
Louise Bloch, Raphael Brüngel, Christoph M. Friedrich
- 2021 (modified: 05 Nov 2022)
- DFUC@MICCAI 2021
- Readers: Everyone
Developing a Machine Learning Workflow to Explain Black-box Models for Alzheimer's Disease Classification
Louise Bloch, Christoph M. Friedrich
- 2021 (modified: 05 Nov 2022)
- HEALTHINF 2021
- Readers: Everyone
Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers
Louise Bloch, Raphael Brüngel, Christoph M. Friedrich
- 2021 (modified: 05 Nov 2022)
- CoRR 2021
- Readers: Everyone

View all 15 publications

Co-Authors

View all 34 co-authors