Aline Sindel

Aline Sindel, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 10.138
Martensstr. 3
91058 Erlangen

  • Since 03/2021:
    Research associate at the Pattern Recognition Lab
  • Since 04/2018:
    Ph.D. Student at the Pattern Recognition Lab
  • 06/2018 – 02/2021:
    Research associate at the Germanisches Nationalmuseum Nürnberg
  • 04/2015 – 03/2018:
    M.Sc. in Medical Engineering
    Friedrich-Alexander-Universität Erlangen-Nürnberg
    Master Thesis: “Learning-based Image Super-Resolution for 3-D Magnetic Resonance Imaging”
    2nd Price of ILW-Award 2019 for Master Thesis
  • 09/2016 – 02/2017:
    Semester Abroad in Spain
    Universitat Politècnica de Catalunya, Barcelona, Spain
    Research Internship: Visual comparison of registration results of MRI data of the colon
  • 04/2015 – 08/2016:
    Working student at Siemens Healthcare/Healthineers, Forchheim
  • 12/2014 – 02/2015:
    Internship at Siemens Healthcare, Forchheim
  • 10/2011 – 03/2015:
    B.Sc. in Medical Engineering
    Friedrich-Alexander-Universität Erlangen-Nürnberg
    Bachelor Thesis: “Respiratory Motion Compensated C-arm CT Reconstruction for Liver Perfusion Imaging”

Research Interest

My research is focusing on deep learning techniques for multi-modal image registration and image processing with applications to art and medical imaging.

Research Projects

2018

  • Critical Catalogue of Luther Portraits (1519-1530)

    (Third Party Funds Group – Overall project)

    Term: June 1, 2018 - May 31, 2021
    Funding source: andere Förderorganisation
    URL: https://www.gnm.de/forschung/projekte/luther-bildnisse/

    Quite a number of portraits of Martin Luther - known as media star of 16th century – can be found in today’s museums and libraries. However, how many portraits indeed exist and which of those are contemporary or actually date from a later period? So far unlike his works, however, the variety of contemporary portraits (painting and print) is neither completely collected nor critically analyzed. Thus, a joint project of the FAU, the Germanisches Nationalmuseum (GNM) in Nuremberg and the Technology Arts Sciences (TH Köln) was initiated. Goal of the interdisciplinary project covering art history, art technology, reformation history and computer science is the creation of a critical catalogue of Luther portraits (1519-1530). In particular, the issues of authenticity, dating of artworks and its historical usage context as well as the potential existence of serial production processes will be investigated.

  • Similarity learning for art analysis

    (Third Party Funds Group – Sub project)

    Overall project: Critical Catalogue of Luther Portraits (1519-1530)
    Term: June 1, 2018 - February 28, 2021
    Funding source: andere Förderorganisation
    URL: https://www.gnm.de/forschung/forschungsprojekte/luther-bildnisse/

    The analysis of the similarity of portraits is an important issue for many sciences such as art history or digital humanities, as for instance it might give hints concerning serial production processes, authenticity or temporal and contextual classification of the artworks.
    In the project, first algorithms will be developed for cross-genre and multi-modal registration of portraits to overlay digitized paintings and prints as well as paintings acquired with different imaging systems such as visual light photography and infrared reflectography. Then, methods will be developed to objectively analyze the portraits according to their similarity.
    This project is part of a joint project of the FAU, the Germanisches Nationalmuseum (GNM) in Nuremberg and the Technology Arts Sciences (TH Köln) in Cologne. Goal of the interdisciplinary project covering art history, art technology, reformation history and computer science is the creation of a critical catalogue of Luther portraits (1519-1530).

2022

Conference Contributions

2021

Journal Articles

Conference Contributions

2020

Conference Contributions

2018

Conference Contributions

2015

Conference Contributions

2022

Aline Sindel
“ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints”
At Vision for Art (VISART) Workshop at the European Conference on Computer Vision (ECCV) 2022, October 23, 2022, Tel Aviv, Israel
And Session Chair of “Datasets” at VISART Workshop at the ECCV 2022, October 23, 2022, Tel Aviv, Israel

Aline Sindel
“Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network”
At Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, September 20, 2022, Singapore, Poster Presentation
And Invited Talk at MICCAI 2022 Learn2Reg Workshop, at Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, September 18, 2022, Singapore

Aline Sindel
“A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet”
At Pattern Recognition for Cultural Heritage (PatReCH) Workshop 2022 of ICPR 2022, August 21, 2022, online, Poster Presentation

Aline Sindel
“A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration”
At Bildverarbeitung für die Medizin Workshop (BVM) 2022, June 27, 2022, Heidelberg, Germany

2021

Aline Sindel
“CraquelureNet: Matching the Crack Structure in Historical Paintings for Multi-Modal Image Registration”
At International Conference on Image Processing (ICIP) 2021, September 26, 2021, online, Poster Presentation and Talk

Aline Sindel
“Luther’s Image: Salient Contour Detection in Artworks”.
At 67th Annual Meeting of the Renaissance Society of America (RSA) 2021, April 22, 2021, online

2020

Aline Sindel
“Art2Contour: Salient Contour Detection in Artworks Using Generative Adversarial Networks”
At International Conference on Image Processing (ICIP) 2020, October 26, 2020, online

Aline Sindel
“A Visualization Tool for Image Fusion of Artworks”
At International Conference on Cultural Heritage and New Technologies (CHNT) 2020, November 6, 2020, online

2019

Aline Sindel
“Learning-based Image Super-Resolution for 3-D Magnetic Resonance Imaging”
At German Conference on Bioinformatics (GCB) 2019, September 19, 2019, Heidelberg, Germany

2018

Aline Sindel
“Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests”
At International Conference on Image Processing (ICIP) 2018, October 8, 2018, Athens, Greece, Poster Presentation

2015

Aline Sindel
“Respiratory Motion Compensation for C-arm CT Liver Imaging“
Bildverarbeitung für die Medizin (BVM Workshop) 2015, March 16, 2015, Lübeck, Germany, Poster Presentation

2022

MICCAI 2022 Student Travel Award for the paper “Multi-modal Retinal Image Registration Using a Keypoint Based Vessel Structure Aligning Network”

2019

2nd Price of ILW-Award 2019 for the Master Thesis “Learning-based Image Super-Resolution for 3-D Magnetic Resonance Imaging”

Theses

Title Type Student Status
Novel View Synthesis for Augmentation of Fine-Grained Image Datasets MA thesis Aiswarya Uttla running

 

Student projects

Finished: 5, Running: 2