Karl Thurnhofer-Hemsi

Orcid: 0000-0001-6519-1213

According to our database1, Karl Thurnhofer-Hemsi authored at least 37 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning.
CoRR, 2024

CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography.
CoRR, 2024

2023
Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit.
Axioms, December, 2023

Human Gait Activity Recognition Using Multimodal Sensors.
Int. J. Neural Syst., November, 2023

Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering.
Comput. Appl. Eng. Educ., May, 2023

2022
Encoding Generative Adversarial Networks for Defense Against Image Classification Attacks.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Analysis of Functional Connectome Pipelines for the Diagnosis of Autism Spectrum Disorders.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

2021
A Convolutional Neural Network Framework for Accurate Skin Cancer Detection.
Neural Process. Lett., 2021

Ensemble ellipse fitting by spatial median consensus.
Inf. Sci., 2021

Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting.
IEEE Access, 2021

Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment.
Proceedings of the International Joint Conference on Neural Networks, 2021

Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2021

Peer Assessments in Engineering: A Pilot Project.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021

Longitudinal Study of the Learning Styles Evolution in Engineering Degrees.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021

2020
Ellipse fitting by spatial averaging of random ensembles.
Pattern Recognit., 2020

Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting.
Neurocomputing, 2020

Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution.
Integr. Comput. Aided Eng., 2020

Radial basis function kernel optimization for Support Vector Machine classifiers.
CoRR, 2020

Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Super-Resolution of 3D MRI Corrupted by Heavy Noise With the Median Filter Transform.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
QModeling: a Multiplatform, Easy-to-Use and Open-Source Toolbox for PET Kinetic Analysis.
Neuroinformatics, 2019

Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

Analyzing Digital Image by Deep Learning for Melanoma Diagnosis.
Proceedings of the Advances in Computational Intelligence, 2019

Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms.
Proceedings of the Advances in Computational Intelligence, 2019

Diabetic Wound Segmentation using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A fast robust geometric fitting method for parabolic curves.
Pattern Recognit., 2018

Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images.
Integr. Comput. Aided Eng., 2018

Panorama construction for PTZ camera surveillance with the neural gas network.
Expert Syst. J. Knowl. Eng., 2018

Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Road Pollution Estimation Using Static Cameras And Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Robust Fitting of Ellipsoids by Separating Interior and Exterior Points During Optimization.
J. Math. Imaging Vis., 2017

Vehicle Type Detection by Convolutional Neural Networks.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Panoramic background modeling for PTZ cameras with competitive learning neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Neural controller for PTZ cameras based on nonpanoramic foreground detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017


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