Indexing and segmenting colour images using neighbourhood sequences. - András Hajdu; Benedek Nagy; Zoltán Zörgö (ICIP (1), 2003)

Velocity and Distance of Neighbourhood Sequences. - András Hajdu; Lajos Hajdu (Acta Cybern., 2003)

Geometry of neighbourhood sequences. - András Hajdu (Pattern Recognit. Lett., 2003)

Approximating the Euclidean distance using non-periodic neighbourhood sequences. - András Hajdu; Lajos Hajdu (Discret. Math., 2004)

Neighborhood Sequences and Their Applications in the Digital Image Processing. - Attila Fazekas; András Hajdu; István Sánta; Tamás Tóth (CAIP, 2005)

Metrical neighborhood sequences in Zn. - Attila Fazekas; András Hajdu; Lajos Hajdu (Pattern Recognit. Lett., 2005)

On the Lattice Structure of Subsets of Octagonal Neighborhood Sequences in mathbb Zn. - András Hajdu; Lajos Hajdu (DGCI, 2006)

A novel eye detection algorithm utilizing edge-related geometrical information. - Stylianos Asteriadis; Nikolaos Nikolaidis 001; András Hajdu; Ioannis Pitas (EUSIPCO, 2006)

Optimized Chamfer Matching for Snake-Based Image Contour Representations. - András Hajdu; Athanasios Roubies; Ioannis Pitas (ICME, 2006)

The "MEDIP-Platform Independent Software System for Medical Image Processing" Project. - András Hajdu; János Kormos; Zsolt Lencse; Lajos Trón; Miklós Emri (J. Univers. Comput. Sci., 2006)

Applications of Neighborhood Sequence in Image Processing and Database Retrieval. - András Hajdu; János Kormos; Tamás Tóth; Kristian Vereb (J. Univers. Comput. Sci., 2006)

Content Adaptive Heterogeneous Snakes. - András Hajdu; Ioannis Pitas (ICIP (1), 2007)

Compression Optimized Tracing of Digital Curves using Graph Theory. - András Hajdu; Ioannis Pitas (ICIP (6), 2007)

Tracing on heterogeneous grids to improve the concavity performance of snake algorithms. - András Hajdu; Ioannis Pitas (ISSPA, 2007)

General neighborhood sequences in Zn. - András Hajdu; Lajos Hajdu; Robert Tijdeman (Discret. Appl. Math., 2007)

Optimal Approach for Fast Object-Template Matching. - András Hajdu; Ioannis Pitas (IEEE Trans. Image Process., 2007)

Approximating non-metrical Minkowski distances in 2D. - András Hajdu; Tamás Tóth (Pattern Recognit. Lett., 2008)

Piecewise Linear Digital Curve Representation and Compression Using Graph Theory and a Line Segment Alphabet. - András Hajdu; Ioannis Pitas (IEEE Trans. Image Process., 2008)

Subsampling strategies to improve learning-based retina vessel segmentation. - Roland Harangozo; Peter Veres; András Hajdu (ICIP, 2009)

Improving microaneurysm detection in color fundus images by using an optimal combination of preprocessing methods and candidate extractors. - Bálint Antal; András Hajdu (EUSIPCO, 2010)

An Ensemble Approach to Improve Microaneurysm Candidate Extraction. - Bálint Antal; István Lázár; András Hajdu (ICETE (Selected Papers), 2010)

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)

A Two-phase Pre-filtering Approach to the Automatic Screening of Digital Fundus Images. - Bálint Antal; András Hajdu; Adrienne Csutak; Tünde Petö (SIGMAP, 2010)

An Optimal Voting Scheme for Microaneurysm Candidate Extractors using Simulated Annealing. - Bálint Antal; István Lázár; András Hajdu (SIGMAP, 2010)

Evaluation of the grading performance of an ensemble-based microaneurysm detector. - Bálint Antal; István Lázár; András Hajdu; Zsolt Török; Adrienne Csutak; Tünde Petö (EMBC, 2011)

A Generalization of Majority Voting Scheme for Medical Image Detectors. - Henrietta Tomán; Laszlo Kovacs; Agnes Jonas; Lajos Hajdu; András Hajdu (HAIS (2), 2011)

An ensemble-based microaneurysm detector for retinal images. - Bálint Antal; András Hajdu (ICIP, 2011)

Exponential contrast maximization of intensity images. - György Kovács 002; Attila Fazekas; András Hajdu (ISPA, 2011)

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

Extraction of vascular system in retina images using Averaged One-Dependence Estimators and orientation estimation in Hidden Markov Random Fields. - György Kovács 002; András Hajdu (ISBI, 2011)

Microaneurysm detection in retinal images using a rotating cross-section based model. - István Lázár; András Hajdu (ISBI, 2011)

A Stochastic Approach to Improve Macula Detection in Retinal Images. - Bálint Antal; András Hajdu (Acta Cybern., 2011)

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

Image database clustering to improve microaneurysm detection in color fundus images. - Brigitta Nagy; Bálint Antal; András Hajdu (CBMS, 2012)

An ensemble-based collaborative framework to support customized user needs. - András Hajdu; János Tóth; Zoltan Pistar; Bálint Domokos; Zsolt Török (CogInfoCom, 2012)

An adaptive weighting approach for ensemble-based detection of microaneurysms in color fundus images. - Bálint Antal; István Lázár; András Hajdu (EMBC, 2012)

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

Segmentation of vessels in retinal images based on directional height statistics. - István Lázár; András Hajdu (EMBC, 2012)

Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output. - Henrietta Tomán; Laszlo Kovacs; Agnes Jonas; Lajos Hajdu; András Hajdu (HAIS (2), 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)

Approximation of the Euclidean Distance by Chamfer Distances. - András Hajdu; Lajos Hajdu; Robert Tijdeman (Acta Cybern., 2012)

Approximations of the Euclidean distance by chamfer distances - András Hajdu; Lajos Hajdu; Robert Tijdeman (CoRR, 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)

A two-phase decision support framework for the automatic screening of digital fundus images. - Bálint Antal; András Hajdu; Zsuzsanna Maros-Szabó; Zsolt Török; Adrienne Csutak; Tünde Petö (J. Comput. Sci., 2012)

Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods. - Bálint Antal; András Hajdu (Pattern Recognit., 2012)

An Ensemble-Based System for Microaneurysm Detection and Diabetic Retinopathy Grading. - Bálint Antal; András Hajdu (IEEE Trans. Biomed. Eng., 2012)

Extending the visualization capabilities of a genome browser. - Csaba Lamfalusi; David Girus; Kinga Kruppa; János Tóth; Eniko Hajdune Pocsai; Roland Kunkli; András Hajdu; Balint Laszlo Balint (CogInfoCom, 2013)

Cognitive visualization for the design of complex systems. - János Tóth; Ildikó Papp; Róbert Tornai; Imre Labancz; Eniko Hajdune Pocsai; András Hajdu (CogInfoCom, 2013)

Diversity Measures for Majority Voting in the Spatial Domain. - András Hajdu; Lajos Hajdu; Laszlo Kovacs; Henrietta Tomán (HAIS, 2013)

Evaluation of preprocessing methods for microaneurysm detection. - Bálint Antal; András Hajdu (ISPA, 2013)

Image database clustering to improve exudate detection in color fundus images. - Brigitta Nagy; Bálint Antal; András Hajdu (ISPA, 2013)

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

An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation. - Bálint Antal; Bence Remenyik; András Hajdu (SIGMAP, 2013)

Improving microaneurysm detection in color fundus images by using context-aware approaches. - Bálint Antal; András Hajdu (Comput. Medical Imaging Graph., 2013)

Translation Invariance in the Polynomial Kernel Space and Its Applications in kNN Classification. - György Kovács 002; András Hajdu (Neural Process. Lett., 2013)

Generalizing the Majority Voting Scheme to Spatially Constrained Voting. - András Hajdu; Lajos Hajdu; Agnes Jonas; Laszlo Kovacs; Henrietta Tomán (IEEE Trans. Image Process., 2013)

Retinal Microaneurysm Detection Through Local Rotating Cross-Section Profile Analysis. - István Lázár; András Hajdu (IEEE Trans. Medical Imaging, 2013)

A framework for distributed processing on an offline cell phone network. - Renátó Besenczi; Kristóf Szitha; András Hajdu (CogInfoCom, 2014)

Distributed eye lesion detection on an offline cell phone network. - Renátó Besenczi; Kristóf Szitha; András Hajdu (CogInfoCom, 2014)

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)

Finding the optimal parameter setting for an ensemble-based lesion detector. - János Tóth; Laszlo Szakacs; András Hajdu (ICIP, 2014)

BINOS4DNA: Bitmap Indexes and NoSQL for Identifying Species with DNA Signatures through Metagenomics Samples. - Ramin Karimi; Ladjel Bellatreche; Patrick Girard 002; Ahcène Boukorca; András Hajdu (ITBAM, 2014)

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

An ensemble-based system for automatic screening of diabetic retinopathy. - Bálint Antal; András Hajdu (Knowl. Based Syst., 2014)

Diabetic Retinopathy Debrecen Data Set. - Bálint Antal; András Hajdu (UCI Machine Learning Repository, 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)

SRIdent: A novel pipeline for real-time identification of species from high-throughput sequencing reads in Metagenomics and clinical diagnostic assays. - Ramin Karimi; András Hajdu (EMBC, 2015)

Improving the performance of an ensemble-based exudate detection system using stochastic parameter optimization. - János Tóth; Henrietta Tomán; András Hajdu (EMBC, 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)

Segmentation of retinal vessels by means of directional response vector similarity and region growing. - István Lázár; András Hajdu (Comput. Biol. Medicine, 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)

Composing ensembles by a stochastic approach under execution time constraint. - András Hajdu; Henrietta Tomán; Laszlo Kovacs; Lajos Hajdu (ICPR, 2016)

A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction. - György Kovács 002; András Hajdu (Medical Image Anal., 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)

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

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

Convolutional Neural Network For Predicting The Spread of Cancer. - Oktavian Lantang; Attila Tiba; András Hajdu; György Terdik (CogInfoCom, 2019)

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)

Detecting outlier and poor quality medical images with an ensemble-based deep learning system. - Attila Tiba; Zsombor Bartik; Henrietta Tomán; András Hajdu (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)

Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems. - Attila Tiba; András Hajdu; György Terdik; Henrietta Tomán (CoRR, 2019)

Finding well approximating lattices for a finite set of points. - András Hajdu; Lajos Hajdu; Robert Tijdeman (Math. Comput., 2019)

Binary classifiers' outputs for ensemble creation. - Attila Tiba; András Hajdu; Henrietta Tomán; György Terdik (IEEE DataPort, 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)

Efficient Learning of Model Weights via Changing Features During Training. - Marcell Beregi-Kovács; Ágnes Baran; András Hajdu (CoRR, 2020)

A stochastic approach to handle knapsack problems in the creation of ensembles. - András Hajdu; György Terdik; Attila Tiba; Henrietta Tomán (CoRR, 2020)

Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing. - János Tóth; Henrietta Tomán; András Hajdu (Pattern Recognit., 2020)

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

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)

A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning. - András Hajdu; György Terdik; Attila Tiba; Henrietta Tomán (Mach. Learn., 2022)

Application of Deep Learning in the Deployment of an Industrial SCARA Machine for Real-Time Object Detection. - Tibor Péter Kapusi; Timotei István Erdei; Géza Husi; András Hajdu (Robotics, 2022)

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

Comparative Analysis of Deep Learning Methods for Schizophrenia Classification from fMRI Scans. - Juliet Polok Sarkar; András Hajdu (CBMS, 2024)

Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems. - Robert Lakatos; Péter Pollner; András Hajdu; Tamas Joo (CoRR, 2024)

A multimodal deep learning architecture for smoking detection with a small data approach. - Robert Lakatos; Péter Pollner; András Hajdu; Tamas Joo (Frontiers Artif. Intell., 2024)

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)

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)

Image-to-Image Translation-Based Deep Learning Application for Object Identification in Industrial Robot Systems. - Timotei István Erdei; Tibor Péter Kapusi; András Hajdu; Géza Husi (Robotics, 2024)

Finding Efficient Graph Embeddings and Processing them by a CNN-based Tool. - Attila Tiba; András Hajdu; Tamas Giraszi (Neural Process. Lett., 2024)

Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems. - Robert Lakatos; Péter Pollner; András Hajdu; Tamas Joo (Mach. Learn. Knowl. Extr., 2025)