Activity T1.

Development of an imaging-based method for fibrosis localization and quantification in the heart with atrial fibrillation.

Sub-activity T1.1. Development of MRI protocol for image acquisition with the investigation of 10 healthy volunteers and 10 patients with persistent atrial fibrillation.

Sub-activity T1.2. Image processing and method development for fibrosis localization and quantification.

Sub-activity T1.3. Patient data analysis and evaluation of diagnostic protocol.

Results

  • Cardiac MRI protocol for image acquisition
  • Functional software prototype for image segmentation
  • Document with description of the imATFIB software architecture
  • National Patent Application: Device for automatic detection and localization of fibrosis on cardiac MRI images. Reg nr. SCJU Cluj‐Napoca 26940/28.08.2020
  • Published papers
  1. 1. Butterfly Effect in Chaotic Image Segmentation. R. Mărginean, A. Andreica, L. Dioșan, Z. Bálint, Entropy 2020, 22, 1028; https://doi.org/10.3390/e22091028
  2. 2. Dynamic Autonomous Image Segmentation based on Grow Cut. A. I. Marinescu, Z. Bálint, L. Dioșan, A. Andreica. ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 25-27 April 2018, i6doc.com publ., ISBN 978-287587047-6. Available from http://www.i6doc.com/en/.
  3. 3. Feasibility of Automatic Seed Generation Applied to Cardiac MRI Image Analysis. R. Mărginean, A. Andreica, L. Dioșan, Z. Bálint. Mathematics 2020, 8(9), 1511; https://doi.org/10.3390/math8091511.
  4. 4. Unsupervised and fully autonomous 3D medical image segmentation based on Grow Cut. A.I. Marinescu, L. Dioșan, Z. Bálint, A. Andreica. 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2018, 8750742, pp. 401-408

DOI: https://ieeexplore.ieee.org/document/8750742

  1. Autonomous Image Segmentation by Competitive Unsupervised Grow Cut. R. Mărginean, A. Andreica, L. Dioșan, Z. Bálint. 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2019, 9049886, pp. 313-319. DOI: https://ieeexplore.ieee.org/document/9049886
  2. Particle Swarm Optimization of Cellular Automata Rules for Edge Detection. D. Dumitru, A. Andreica, L. Dioșan, Z. Bálint. 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2019, 9049862, pp. 320-325DOI: https://ieeexplore.ieee.org/document/9049862
  3. Evolutionary Curriculum Learning Approach for Transferable Cellular Automata Rule Optimization. D. Dumitru, A. Andreica, L. Dioșan, Z. Bálint. GECCO ’20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion July 2020 Pages 63–64

https://doi.org/10.1145/3377929.3389911

  • Scientific publication under review
  1. Robustness analysis of transferable Cellular Automata rules optimized for edge detection. D. Dumitru, A. Andreica, L. Dioșan, Z. Bálint. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2020)
  • Conferences
  1. Title: Applications of Cellular Automata to Medical Image Segmentation

Author: A. I. Marinescu

Scientific presentation at the international summer school Doctoral Intensive Summer School on Evolutionary Computing in Optimization and Data Mining (ECODAM 2017); June 19–22, 2017, Iași, Romania.

  1. Title: 3D Image Segmentation based on Unsupervised Grow Cut

Authors: A. I. Marinescu, Z. Bálint, L. Dioșan, A. Andreica

Conference: „Joint Conferences on Mathematics and Computer Science” (MaCS 2018) – http://www.cs.ubbcluj.ro/~macs/2018/. June 14–17, 2018, Cluj-Napoca, Romania

  1. Title: Unsupervised and Fully Autonomous 3D Medical Image Segmentation based on Grow Cut

Authors: A. I. Marinescu, Z. Bálint, L. Dioșan, A. Andreica

Conference: 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing – SYNASC 2018. September 20–23, 2018, Timișoara, Romania

  1. Title: Autonomous Image Segmentation by Competitive Unsupervised GrowCut

Authors: R. Mărginean, A. Andreica, L. Dioșan, Z. Bálint

Conference: 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing – SYNASC 2019. September 04–07, 2019, Timișoara, Romania

  1. Title: Particle Swarm Optimization of Cellular Automata Rules for Edge Detection

Authors: D. Dumitru, A. Andreica, L. Dioșan, Z. Bálint

Conference: 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing – SYNASC 2019. September 04–07, 2019, Timișoara, Romania

  1. Title: Cellular Automata Applications

Author: A. Andreica

Conference: 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing – SYNASC 2019. September 04–07, 2019, Timișoara, Romania

  1. Title: Extended region growing algorithm for whole heart segmentation from cardiac MRI images

Authors: R. Mărginean, L. Popa, M. Coman, S. Manole, A. Andreica, L. Dioșan, Z. Bálint

Conference: ESCR Annual Scientific Meeting, October 24–26, 2019, Antwerpen, Belgium

  1. Title: Interactive Whole Heart Segmentation from Cardiac MRI Scans

Author: R. Mărginean

Conference: Biomedical and Imaging Approaches in the Management of Atrial Fibrillation, November 7–9, 2019, Cluj-Napoca, Romania

  1. Title: Batch Optimization of Cellular Automata Rules for Edge Detection using Evolutionary Algorithms

Author: D. Dumitru

Conference: Biomedical and Imaging Approaches in the Management of Atrial Fibrillation, November 7–9, 2019, Cluj-Napoca, Romania

  1. Title: Cellular automata in image processing

Author: L. Dioșan

Conference: Biomedical and Imaging Approaches in the Management of Atrial Fibrillation, November 7–9, 2019, Cluj-Napoca, Romania

  1. Title: Evolutionary Curriculum Learning Approach for Transferable Cellular Automata Rule Optimization

Authors: D. Dumitru, A. Andreica, L. Dioșan, Z. Bálint

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2020, Electronic-only Conference, July 8–12, 2020)

  1. Title: Robustness analysis of transferable Cellular Automata rules optimized for edge detection

Authors: D. Dumitru, A. Andreica, L. Dioșan, Z. Bálint

Conference: International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2020, KES Virtual Conference Centre, September 16–18, 2020)