Balázs Harangi

48 papers B 6C 10Misc 2Journal 14Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Deep Learning-Based Classification of Diabetic Retinopathy in Corneal Confocal Microscopy Images. ISPA Khaled I. AlBurai, Beáta Bajdik, Balázs Harangi
2025	J	`jnl`	Developing diverse ensemble architectures for automatic brain tumor classification. Multim. Tools Appl. Gergo Bogacsovics, Balázs Harangi, András Hajdu
2025	J	`jnl`	Generation of Synthetic Non-Homogeneous Fog by Discretized Radiative Transfer Equation. J. Imaging Marcell Beregi-Kovács, Balázs Harangi, András Hajdu, György Gát
2024	J	`jnl`	A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews. Big Data Cogn. Comput. Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu
2024	J	`jnl`	Advanced Multi-Label Image Classification Techniques Using Ensemble Methods. Mach. Learn. Knowl. Extr. Tamás Katona, Gábor Tóth, Mátyás Petró, Balázs Harangi
2024	J	`jnl`	Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks. Sensors Norbert Serban, David Kupas, András Hajdu, Peter Torok, Balázs Harangi
2024	J	`jnl`	Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. Sensors Mokhaled N. A. Al-Hamadani, Mohammed A. Fadhel, Laith Alzubaidi, Balázs Harangi
2023	J	`jnl`	A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews. CoRR Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu
2023	Misc	`conf`	Extracting Drug Names From Medical Reports. CSIT Arpad Pandy, Balázs Harangi, András Hajdu
2023	Misc	`conf`	Extracting Drug Names from Medical Reports. CSIT Arpad Pandy, Balázs Harangi, András Hajdu
2023	B	`conf`	Increasing the diversity of ensemble members for accurate brain tumor classification. CBMS Gergo Bogacsovics, Balázs Harangi, András Hajdu
2023	B	`conf`	Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation. CBMS Norbert Serban, Balázs Harangi
2022	—	`conf`	Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features. EMBC David Kupas, Balázs Harangi
2022	J	`jnl`	Enhancing CNNs through the use of hand-crafted features in automated fundus image classification. Biomed. Signal Process. Control. Gergo Bogacsovics, János Tóth, András Hajdu, Balázs Harangi
2021	—	`conf`	Molecule Classification Using Visualization and Convolutional Neural Network. ISBI István Lakatos, András Hajdu, Balázs Harangi
2021	—	`conf`	Solving the problem of imbalanced dataset with synthetic image generation for cell classification using deep learning. EMBC David Kupas, Balázs Harangi
2020	J	`jnl`	Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support. Biomed. Signal Process. Control. Balázs Harangi, Agnes Baran, András Hajdu
2019	C	`conf`	Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids. ISPA János Tóth, Tibor Péter Kapusi, Balázs Harangi, Henrietta Tomán, András Hajdu
2019	—	`conf`	Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features. EMBC Balázs Harangi, János Tóth, Agnes Baran, András Hajdu
2019	C	`conf`	Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques. ISPA Balázs Harangi, János Tóth, Gergo Bogacsovics, David Kupas, Laszlo Kovacs, András Hajdu
2019	C	`conf`	Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality. ISPA David Kupas, Peter Torok, András Hajdu, Balázs Harangi
2018	—	`conf`	Classification Of Skin Lesions Using An Ensemble Of Deep Neural Networks. EMBC Balázs Harangi, Agnes Baran, András Hajdu
2018	—	`conf`	Fusion of Deep Convolutional Neural Networks for Microaneurysm Detection in Color Fundus Images. EMBC Balázs Harangi, János Tóth, András Hajdu
2018	—	`conf`	Segmentation of the uterine wall by an ensemble of fully convolutional neural networks. EMBC Péter Burai, András Hajdu, Edgardo Manuel Felipe-Riverón, Balázs Harangi
2018	J	`jnl`	Skin lesion classification with ensembles of deep convolutional neural networks. J. Biomed. Informatics Balázs Harangi
2017	B	`conf`	Automatic Pigment Network Classification Using a Combination of Classical Texture Descriptors and CNN Features. CBMS Melinda Pap, Balázs Harangi, András Hajdu
2017	C	`conf`	Decision support system for the diagnosis of neurological disorders based on gaze tracking. ISPA David Kupas, Balázs Harangi, Gyorgy Czifra, Gabor Andrassy
2017	C	`conf`	Differentiating ureter and arteries in the pelvic via endoscope using deep neural network. ISPA Balázs Harangi, András Hajdu, Rudolf Lampe, Peter Torok
2017	C	`conf`	Efficient texture regularity estimation for second order statistical descriptors. ISPA Attila Tiba, Balázs Harangi, András Hajdu
2017	C	`conf`	Pixelwise segmentation of uterine wall in endoscopic video frame using convolutional neural networks. ISPA Péter Burai, Balázs Harangi
2017	B	`conf`	Recognizing Ureter and Uterine Artery in Endoscopic Images Using a Convolutional Neural Network. CBMS Balázs Harangi, András Hajdu, Rudolf Lampe, Peter Torok
2017	J	`jnl`	Skin lesion detection based on an ensemble of deep convolutional neural network. CoRR Balázs Harangi
2016	B	`conf`	Measuring regularity of network patterns by grid approximations using the LLL algorithm. ICPR András Hajdu, Balázs Harangi, Renátó Besenczi, István Lázár, G. Emri, Lajos Hajdu, Robert Tijdeman
2015	—	`conf`	An online application for storing, analyzing, and sharing dermatological data. CogInfoCom János Tóth, Lorant Bartha, Tamás Szabó, István Lázár, Balázs Harangi, András Hajdu
2015	C	`conf`	Automatic optic disc and optic cup detection in retinal images acquired by mobile phone. ISPA Renátó Besenczi, Kristóf Szitha, Balázs Harangi, Adrienne Csutak, András Hajdu
2015	J	`jnl`	Detection of the optic disc in fundus images by combining probability models. Comput. Biol. Medicine Balázs Harangi, András Hajdu
2015	—	`—`	Single/Multiple Object Detection Problems in Medical Image Analyses Balázs Harangi
2014	—	`conf`	An online benchmark system for image processing algorithms. CogInfoCom János Tóth, Laszlo Kovacs, Balázs Harangi, Csaba Kiss, Andras Mohacsi, Zoltan Orosz, András Hajdu
2014	—	`conf`	An online system for algorithm benchmarking. CogInfoCom János Tóth, Laszlo Kovacs, Balázs Harangi, Csaba Kiss, Andras Mohacsi, Zoltan Orosz, András Hajdu
2014	J	`jnl`	Automatic exudate detection by fusing multiple active contours and regionwise classification. Comput. Biol. Medicine Balázs Harangi, András Hajdu
2014	—	`conf`	Detection of exudates in fundus images using a Markovian segmentation model. EMBC Balázs Harangi, András Hajdu
2013	—	`conf`	Improving automatic exudate detection based on the fusion of the results of multiple active contours. ISBI Balázs Harangi, András Hajdu
2012	—	`conf`	Automatic exudate detection using active contour model and regionwise classification. EMBC Balázs Harangi, István Lázár, András Hajdu
2012	B	`conf`	Automatic exudate detection with improved Naïve-Bayes classifier. CBMS Balázs Harangi, Bálint Antal, András Hajdu
2012	J	`jnl`	Combining algorithms for automatic detection of optic disc and macula in fundus images. Comput. Vis. Image Underst. Rashid Jalal Qureshi, Laszlo Kovacs, Balázs Harangi, Brigitta Nagy, Tünde Petö, András Hajdu
2012	—	`conf`	Improving the accuracy of optic disc detection by finding maximal weighted clique of multiple candidates of individual detectors. ISBI Balázs Harangi, András Hajdu
2011	C	`conf`	Ensemble-based exudate detection in color fundus images. ISPA Brigitta Nagy, Balázs Harangi, Bálint Antal, András Hajdu
2010	—	`conf`	Automatic detection of the optic disc using majority voting in a collection of optic disc detectors. ISBI Balázs Harangi, Rashid Jalal Qureshi, Adrienne Csutak, Tünde Petö, András Hajdu