Automatic detection of the optic disc using majority voting in a collection of optic disc detectors. - Balázs Harangi; Rashid Jalal Qureshi; Adrienne Csutak; Tünde Petö; András Hajdu (ISBI, 2010)

Ensemble-based exudate detection in color fundus images. - Brigitta Nagy; Balázs Harangi; Bálint Antal; András Hajdu (ISPA, 2011)

Automatic exudate detection with improved Naïve-Bayes classifier. - Balázs Harangi; Bálint Antal; András Hajdu (CBMS, 2012)

Automatic exudate detection using active contour model and regionwise classification. - Balázs Harangi; István Lázár; András Hajdu (EMBC, 2012)

Improving the accuracy of optic disc detection by finding maximal weighted clique of multiple candidates of individual detectors. - Balázs Harangi; András Hajdu (ISBI, 2012)

Combining algorithms for automatic detection of optic disc and macula in fundus images. - Rashid Jalal Qureshi; Laszlo Kovacs; Balázs Harangi; Brigitta Nagy; Tünde Petö; András Hajdu (Comput. Vis. Image Underst., 2012)

Improving automatic exudate detection based on the fusion of the results of multiple active contours. - Balázs Harangi; András Hajdu (ISBI, 2013)

An online benchmark system for image processing algorithms. - János Tóth; Laszlo Kovacs; Balázs Harangi; Csaba Kiss; Andras Mohacsi; Zoltan Orosz; András Hajdu (CogInfoCom, 2014)

An online system for algorithm benchmarking. - János Tóth; Laszlo Kovacs; Balázs Harangi; Csaba Kiss; Andras Mohacsi; Zoltan Orosz; András Hajdu (CogInfoCom, 2014)

Detection of exudates in fundus images using a Markovian segmentation model. - Balázs Harangi; András Hajdu (EMBC, 2014)

Automatic exudate detection by fusing multiple active contours and regionwise classification. - Balázs Harangi; András Hajdu (Comput. Biol. Medicine, 2014)

An online application for storing, analyzing, and sharing dermatological data. - János Tóth; Lorant Bartha; Tamás Szabó; István Lázár; Balázs Harangi; András Hajdu (CogInfoCom, 2015)

Automatic optic disc and optic cup detection in retinal images acquired by mobile phone. - Renátó Besenczi; Kristóf Szitha; Balázs Harangi; Adrienne Csutak; András Hajdu (ISPA, 2015)

Detection of the optic disc in fundus images by combining probability models. - Balázs Harangi; András Hajdu (Comput. Biol. Medicine, 2015)

Single/Multiple Object Detection Problems in Medical Image Analyses - Balázs Harangi (2015)

Measuring regularity of network patterns by grid approximations using the LLL algorithm. - András Hajdu; Balázs Harangi; Renátó Besenczi; István Lázár; G. Emri; Lajos Hajdu; Robert Tijdeman (ICPR, 2016)

Recognizing Ureter and Uterine Artery in Endoscopic Images Using a Convolutional Neural Network. - Balázs Harangi; András Hajdu; Rudolf Lampe; Peter Torok (CBMS, 2017)

Automatic Pigment Network Classification Using a Combination of Classical Texture Descriptors and CNN Features. - Melinda Pap; Balázs Harangi; András Hajdu (CBMS, 2017)

Pixelwise segmentation of uterine wall in endoscopic video frame using convolutional neural networks. - Péter Burai; Balázs Harangi (ISPA, 2017)

Differentiating ureter and arteries in the pelvic via endoscope using deep neural network. - Balázs Harangi; András Hajdu; Rudolf Lampe; Peter Torok (ISPA, 2017)

Decision support system for the diagnosis of neurological disorders based on gaze tracking. - David Kupas; Balázs Harangi; Gyorgy Czifra; Gabor Andrassy (ISPA, 2017)

Efficient texture regularity estimation for second order statistical descriptors. - Attila Tiba; Balázs Harangi; András Hajdu (ISPA, 2017)

Skin lesion detection based on an ensemble of deep convolutional neural network. - Balázs Harangi (CoRR, 2017)

Segmentation of the uterine wall by an ensemble of fully convolutional neural networks. - Péter Burai; András Hajdu; Edgardo Manuel Felipe Riverón; Balázs Harangi (EMBC, 2018)

Classification Of Skin Lesions Using An Ensemble Of Deep Neural Networks. - Balázs Harangi; Agnes Baran; András Hajdu (EMBC, 2018)

Fusion of Deep Convolutional Neural Networks for Microaneurysm Detection in Color Fundus Images. - Balázs Harangi; János Tóth; András Hajdu (EMBC, 2018)

Skin lesion classification with ensembles of deep convolutional neural networks. - Balázs Harangi (J. Biomed. Informatics, 2018)

Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features. - Balázs Harangi; János Tóth; Agnes Baran; András Hajdu (EMBC, 2019)

Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques. - Balázs Harangi; János Tóth; Gergo Bogacsovics; David Kupas; Laszlo Kovacs; András Hajdu (ISPA, 2019)

Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality. - David Kupas; Peter Torok; András Hajdu; Balázs Harangi (ISPA, 2019)

Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids. - János Tóth; Tibor Péter Kapusi; Balázs Harangi; Henrietta Tomán; András Hajdu (ISPA, 2019)

Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support. - Balázs Harangi; Agnes Baran; András Hajdu (Biomed. Signal Process. Control., 2020)

Solving the problem of imbalanced dataset with synthetic image generation for cell classification using deep learning. - David Kupas; Balázs Harangi (EMBC, 2021)

Molecule Classification Using Visualization and Convolutional Neural Network. - István Lakatos; András Hajdu; Balázs Harangi (ISBI, 2021)

Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features. - David Kupas; Balázs Harangi (EMBC, 2022)

Enhancing CNNs through the use of hand-crafted features in automated fundus image classification. - Gergo Bogacsovics; János Tóth; András Hajdu; Balázs Harangi (Biomed. Signal Process. Control., 2022)

Increasing the diversity of ensemble members for accurate brain tumor classification. - Gergo Bogacsovics; Balázs Harangi; András Hajdu (CBMS, 2023)

Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation. - Norbert Serban; Balázs Harangi (CBMS, 2023)

Extracting Drug Names From Medical Reports. - Arpad Pandy; Balázs Harangi; András Hajdu (CSIT, 2023)

A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews. - Robert Lakatos; Gergo Bogacsovics; Balázs Harangi; István Lakatos; Attila Tiba; János Tóth; Marianna Szabo; András Hajdu (CoRR, 2023)

A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews. - Robert Lakatos; Gergo Bogacsovics; Balázs Harangi; István Lakatos; Attila Tiba; János Tóth; Marianna Szabo; András Hajdu (Big Data Cogn. Comput., 2024)

Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. - Mokhaled N. A. Al-Hamadani; Mohammed A. Fadhel; Laith Alzubaidi; Balázs Harangi (Sensors, 2024)

Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks. - Norbert Serban; David Kupas; András Hajdu; Peter Torok; Balázs Harangi (Sensors, 2024)

Advanced Multi-Label Image Classification Techniques Using Ensemble Methods. - Tamás Katona; Gábor Tóth; Mátyás Petró; Balázs Harangi (Mach. Learn. Knowl. Extr., 2024)