Thomas Bocklitz

Orcid: 0000-0003-2778-6624

According to our database1, Thomas Bocklitz authored at least 11 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
MMIR: an open-source software for the registration of multimodal histological images.
BMC Medical Informatics Decis. Mak., December, 2024

A Systematic Investigation of Image Pre-Processing on Image Classification.
IEEE Access, 2024

Sample Size Estimation of Transfer Learning for Colorectal Cancer Detection.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023
Agnostic eXplainable Artificial Intelligence (XAI) Method Based on Volterra Series.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

A Multimodal Image Registration System for Histology Images.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2021
Data Fusion of Histological and Immunohistochemical Image Data for Breast Cancer Diagnostics using Transfer Learning.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020
Predictive Modeling of Antibiotic Susceptibility in E. Coli Strains Using the U-Net Network and One-Class Classification.
IEEE Access, 2020

2019
Semantic Segmentation of Non-linear Multimodal Images for Disease Grading of Inflammatory Bowel Disease: A SegNet-based Application.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Understanding of Non-linear Parametric Regression and Classification Models: A Taylor Series based Approach.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2016
Leukocyte subtypes classification by means of image processing.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2014
Raman-Spectroscopy Based Cell Identification on a Microhole Array Chip.
Micromachines, 2014


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