Balázs Harangi

Orcid: 0000-0003-4405-2040

Affiliations:
  • University of Debrecen, Hungary


According to our database1, Balázs Harangi authored at least 44 papers between 2010 and 2024.

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Bibliography

2024
Advanced Multi-Label Image Classification Techniques Using Ensemble Methods.
Mach. Learn. Knowl. Extr., June, 2024

Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks.
Sensors, May, 2024

Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review.
Sensors, April, 2024

A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews.
Big Data Cogn. Comput., March, 2024

2023
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews.
CoRR, 2023

Extracting Drug Names from Medical Reports.
Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Increasing the diversity of ensemble members for accurate brain tumor classification.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Enhancing CNNs through the use of hand-crafted features in automated fundus image classification.
Biomed. Signal Process. Control., 2022

Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Molecule Classification Using Visualization and Convolutional Neural Network.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Solving the problem of imbalanced dataset with synthetic image generation for cell classification using deep learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support.
Biomed. Signal Process. Control., 2020

2019
Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Skin lesion classification with ensembles of deep convolutional neural networks.
J. Biomed. Informatics, 2018

Fusion of Deep Convolutional Neural Networks for Microaneurysm Detection in Color Fundus Images.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Classification Of Skin Lesions Using An Ensemble Of Deep Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Segmentation of the uterine wall by an ensemble of fully convolutional neural networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Skin lesion detection based on an ensemble of deep convolutional neural network.
CoRR, 2017

Efficient texture regularity estimation for second order statistical descriptors.
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

Decision support system for the diagnosis of neurological disorders based on gaze tracking.
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

Differentiating ureter and arteries in the pelvic via endoscope using deep neural network.
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

Pixelwise segmentation of uterine wall in endoscopic video frame using convolutional neural networks.
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

Automatic Pigment Network Classification Using a Combination of Classical Texture Descriptors and CNN Features.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Recognizing Ureter and Uterine Artery in Endoscopic Images Using a Convolutional Neural Network.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
Measuring regularity of network patterns by grid approximations using the LLL algorithm.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Single/Multiple Object Detection Problems in Medical Image Analyses
PhD thesis, 2015

Detection of the optic disc in fundus images by combining probability models.
Comput. Biol. Medicine, 2015

Automatic optic disc and optic cup detection in retinal images acquired by mobile phone.
Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015

An online application for storing, analyzing, and sharing dermatological data.
Proceedings of the 6th IEEE International Conference on Cognitive Infocommunications, 2015

2014
Automatic exudate detection by fusing multiple active contours and regionwise classification.
Comput. Biol. Medicine, 2014

Detection of exudates in fundus images using a Markovian segmentation model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

An online system for algorithm benchmarking.
Proceedings of the 5th IEEE Conference on Cognitive Infocommunications, 2014

An online benchmark system for image processing algorithms.
Proceedings of the 5th IEEE Conference on Cognitive Infocommunications, 2014

2013
Improving automatic exudate detection based on the fusion of the results of multiple active contours.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Combining algorithms for automatic detection of optic disc and macula in fundus images.
Comput. Vis. Image Underst., 2012

Improving the accuracy of optic disc detection by finding maximal weighted clique of multiple candidates of individual detectors.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Automatic exudate detection using active contour model and regionwise classification.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Automatic exudate detection with improved Naïve-Bayes classifier.
Proceedings of CBMS 2012, 2012

2011
Ensemble-based exudate detection in color fundus images.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

2010
Automatic detection of the optic disc using majority voting in a collection of optic disc detectors.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010


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