András Hajdu

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 37

Top Venues

Publications

Juliet Polok Sarkar, András Hajdu
Comparative Analysis of Deep Learning Methods for Schizophrenia Classification from fMRI Scans. CBMS (2024)
Timotei István Erdei, Tibor Péter Kapusi, András Hajdu, Géza Husi
Image-to-Image Translation-Based Deep Learning Application for Object Identification in Industrial Robot Systems. Robotics 13 (6) (2024)
Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems. CoRR (2024)
Norbert Serban, David Kupas, András Hajdu, Peter Torok, Balázs Harangi
Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks. Sensors 24 (9) (2024)
Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu
A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews. Big Data Cogn. Comput. 8 (3) (2024)
Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo
A multimodal deep learning architecture for smoking detection with a small data approach. Frontiers Artif. Intell. 7 (2024)
Arpad Pandy, Balázs Harangi, András Hajdu
Extracting Drug Names from Medical Reports. CSIT (2023)
Gergo Bogacsovics, Balázs Harangi, András Hajdu
Increasing the diversity of ensemble members for accurate brain tumor classification. CBMS (2023)
Arpad Pandy, Balázs Harangi, András Hajdu
Extracting Drug Names From Medical Reports. CSIT (2023)
Robert Lakatos, Péter Pollner, András Hajdu, Tamas Joo
A multimodal deep learning architecture for smoking detection with a small data approach. CoRR (2023)
Robert Lakatos, Gergo Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabo, András Hajdu
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews. CoRR (2023)
András Hajdu, György Terdik, Attila Tiba, Henrietta Tomán
A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning. Mach. Learn. 111 (4) (2022)
Tibor Péter Kapusi, Timotei Istvan Erdei, Géza Husi, András Hajdu
Application of Deep Learning in the Deployment of an Industrial SCARA Machine for Real-Time Object Detection. Robotics 11 (4) (2022)
Gergo Bogacsovics, János Tóth, András Hajdu, Balázs Harangi
Enhancing CNNs through the use of hand-crafted features in automated fundus image classification. Biomed. Signal Process. Control. 76 (2022)
Istvan Lakatos, András Hajdu, Balázs Harangi
Molecule Classification Using Visualization and Convolutional Neural Network. ISBI (2021)
János Tóth, Henrietta Tomán, András Hajdu
Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing. Pattern Recognit. 107 (2020)
Marcell Beregi-Kovács, Ágnes Baran, András Hajdu
Efficient Learning of Model Weights via Changing Features During Training. CoRR (2020)
Balázs Harangi, Agnes Baran, András Hajdu
Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support. Biomed. Signal Process. Control. 62 (2020)
András Hajdu, György Terdik, Attila Tiba, Henrietta Tomán
A stochastic approach to handle knapsack problems in the creation of ensembles. CoRR (2020)
Balázs Harangi, János Tóth, Gergo Bogacsovics, David Kupas, Laszlo Kovacs, András Hajdu
Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques. ISPA (2019)
Oktavian Lantang, Attila Tiba, András Hajdu, György Terdik
Convolutional Neural Network For Predicting The Spread of Cancer. CogInfoCom (2019)
David Kupas, Peter Torok, András Hajdu, Balázs Harangi
Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality. ISPA (2019)
János Tóth, Tibor Péter Kapusi, Balázs Harangi, Henrietta Tomán, András Hajdu
Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids. ISPA (2019)
Attila Tiba, András Hajdu, György Terdik, Henrietta Tomán
Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems. CoRR (2019)
András Hajdu, Lajos Hajdu, Robert Tijdeman
Finding well approximating lattices for a finite set of points. Math. Comput. 88 (315) (2019)
Attila Tiba, Zsombor Bartik, Henrietta Tomán, András Hajdu
Detecting outlier and poor quality medical images with an ensemble-based deep learning system. ISPA (2019)
Balázs Harangi, János Tóth, Agnes Baran, András Hajdu
Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features. EMBC (2019)
Balázs Harangi, János Tóth, András Hajdu
Fusion of Deep Convolutional Neural Networks for Microaneurysm Detection in Color Fundus Images. EMBC (2018)
Péter Burai, András Hajdu, Felipe-Riveron Edgardo Manuel, Balázs Harangi
Segmentation of the uterine wall by an ensemble of fully convolutional neural networks. EMBC (2018)
Balázs Harangi, Agnes Baran, András Hajdu
Classification Of Skin Lesions Using An Ensemble Of Deep Neural Networks. EMBC (2018)
Melinda Pap, Balázs Harangi, András Hajdu
Automatic Pigment Network Classification Using a Combination of Classical Texture Descriptors and CNN Features. CBMS (2017)
Balázs Harangi, András Hajdu, Rudolf Lampe, Peter Torok
Differentiating ureter and arteries in the pelvic via endoscope using deep neural network. ISPA (2017)
Balázs Harangi, András Hajdu, Rudolf Lampe, Peter Torok
Recognizing Ureter and Uterine Artery in Endoscopic Images Using a Convolutional Neural Network. CBMS (2017)
Attila Tiba, Balázs Harangi, András Hajdu
Efficient texture regularity estimation for second order statistical descriptors. ISPA (2017)
György Kovács, András Hajdu
A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction. Medical Image Anal. 29 (2016)
András Hajdu, Balázs Harangi, Renátó Besenczi, István Lázár, G. Emri, Lajos Hajdu, Robert Tijdeman
Measuring regularity of network patterns by grid approximations using the LLL algorithm. ICPR (2016)
András Hajdu, Henrietta Tomán, Laszlo Kovacs, Lajos Hajdu
Composing ensembles by a stochastic approach under execution time constraint. ICPR (2016)
Balázs Harangi, András Hajdu
Detection of the optic disc in fundus images by combining probability models. Comput. Biol. Medicine 65 (2015)
János Tóth, Lorant Bartha, Tamás Szabó, István Lázár, Balázs Harangi, András Hajdu
An online application for storing, analyzing, and sharing dermatological data. CogInfoCom (2015)
János Tóth, Henrietta Tomán, András Hajdu
Improving the performance of an ensemble-based exudate detection system using stochastic parameter optimization. EMBC (2015)
István Lázár, András Hajdu
Segmentation of retinal vessels by means of directional response vector similarity and region growing. Comput. Biol. Medicine 66 (2015)
Ramin Karimi, András Hajdu
SRIdent: A novel pipeline for real-time identification of species from high-throughput sequencing reads in Metagenomics and clinical diagnostic assays. EMBC (2015)
Renátó Besenczi, Kristof Szitha, Balázs Harangi, Adrienne Csutak, András Hajdu
Automatic optic disc and optic cup detection in retinal images acquired by mobile phone. ISPA (2015)
Bálint Antal, András Hajdu, Zsuzsanna Maros-Szabó, Zsolt Török, Adrienne Csutak, Tünde Petö
A Two-phase Decision Support Framework for the Automatic Screening of Digital Fundus Images. CoRR (2014)
Bálint Antal, Bence Remenyik, András Hajdu
An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation. CoRR (2014)
Bálint Antal, András Hajdu
An ensemble-based system for automatic screening of diabetic retinopathy. CoRR (2014)
Bálint Antal, András Hajdu
An Ensemble-based System for Microaneurysm Detection and Diabetic Retinopathy Grading. CoRR (2014)
Renátó Besenczi, Kristóf Szitha, András Hajdu
Distributed eye lesion detection on an offline cell phone network. CogInfoCom (2014)
János Tóth, Laszlo Kovacs, Balázs Harangi, Csaba Kiss, Andras Mohacsi, Zoltan Orosz, András Hajdu
An online system for algorithm benchmarking. CogInfoCom (2014)
Balázs Harangi, András Hajdu
Automatic exudate detection by fusing multiple active contours and regionwise classification. Comput. Biol. Medicine 54 (2014)
János Tóth, Laszlo Szakacs, András Hajdu
Finding the optimal parameter setting for an ensemble-based lesion detector. ICIP (2014)
Ramin Karimi, Ladjel Bellatreche, Patrick Girard, Ahcène Boukorca, András Hajdu
BINOS4DNA: Bitmap Indexes and NoSQL for Identifying Species with DNA Signatures through Metagenomics Samples. ITBAM (2014)
Balázs Harangi, András Hajdu
Detection of exudates in fundus images using a Markovian segmentation model. EMBC (2014)
János Tóth, Laszlo Kovacs, Balázs Harangi, Csaba Kiss, Andras Mohacsi, Zoltan Orosz, András Hajdu
An online benchmark system for image processing algorithms. CogInfoCom (2014)
Bálint Antal, András Hajdu
An ensemble-based system for automatic screening of diabetic retinopathy. Knowl. Based Syst. 60 (2014)
Renátó Besenczi, Kristóf Szitha, András Hajdu
A framework for distributed processing on an offline cell phone network. CogInfoCom (2014)
János Tóth, Ildikó Papp, Róbert Tornai, Imre Labancz, Eniko Hajdune Pocsai, András Hajdu
Cognitive visualization for the design of complex systems. CogInfoCom (2013)
András Hajdu, Lajos Hajdu, Agnes Jonas, Laszlo Kovacs, Henrietta Tomán
Generalizing the Majority Voting Scheme to Spatially Constrained Voting. IEEE Trans. Image Process. 22 (11) (2013)
Balázs Harangi, András Hajdu
Improving automatic exudate detection based on the fusion of the results of multiple active contours. ISBI (2013)
Bálint Antal, András Hajdu
Evaluation of preprocessing methods for microaneurysm detection. ISPA (2013)
Bálint Antal, Bence Remenyik, András Hajdu
An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation. SIGMAP (2013)
György Kovács, András Hajdu
Translation Invariance in the Polynomial Kernel Space and Its Applications in kNN Classification. Neural Process. Lett. 37 (2) (2013)
Bálint Antal, András Hajdu
Improving microaneurysm detection in color fundus images by using context-aware approaches. Comput. Medical Imaging Graph. 37 (5-6) (2013)
Brigitta Nagy, Bálint Antal, András Hajdu
Image database clustering to improve exudate detection in color fundus images. ISPA (2013)
István Lázár, András Hajdu
Retinal Microaneurysm Detection Through Local Rotating Cross-Section Profile Analysis. IEEE Trans. Medical Imaging 32 (2) (2013)
Csaba Lamfalusi, David Girus, Kinga Kruppa, János Tóth, Eniko Hajdune Pocsai, Roland Kunkli, András Hajdu, Balint L. Balint
Extending the visualization capabilities of a genome browser. CogInfoCom (2013)
András Hajdu, Lajos Hajdu, Laszlo Kovacs, Henrietta Tomán
Diversity Measures for Majority Voting in the Spatial Domain. HAIS (2013)
István Lázár, András Hajdu
Segmentation of vessels in retinal images based on directional height statistics. EMBC (2012)
Bálint Antal, András Hajdu
Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods. Pattern Recognit. 45 (1) (2012)
Henrietta Tomán, Laszlo Kovacs, Agnes Jonas, Lajos Hajdu, András Hajdu
Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output. HAIS (2) (2012)
Bálint Antal, István Lázár, András Hajdu
An adaptive weighting approach for ensemble-based detection of microaneurysms in color fundus images. EMBC (2012)
András Hajdu, Lajos Hajdu, Robert Tijdeman
Approximation of the Euclidean Distance by Chamfer Distances. Acta Cybern. 20 (3) (2012)
Brigitta Nagy, Bálint Antal, András Hajdu
Image database clustering to improve microaneurysm detection in color fundus images. CBMS (2012)
András Hajdu, Lajos Hajdu, Robert Tijdeman
Approximations of the Euclidean distance by chamfer distances CoRR (2012)
Balázs Harangi, István Lázár, András Hajdu
Automatic exudate detection using active contour model and regionwise classification. EMBC (2012)
Balázs Harangi, Bálint Antal, András Hajdu
Automatic exudate detection with improved Naïve-Bayes classifier. CBMS (2012)
Bálint Antal, András Hajdu, Zsuzsanna Maros-Szabó, Zsolt Török, Adrienne Csutak, Tünde Petö
A two-phase decision support framework for the automatic screening of digital fundus images. J. Comput. Sci. 3 (5) (2012)
András Hajdu, János Toth, Zoltan Pistar, Balint Domokos, Zsolt Török
An ensemble-based collaborative framework to support customized user needs. CogInfoCom (2012)
Rashid Jalal Qureshi, Laszlo Kovacs, Balázs Harangi, Brigitta Nagy, Tünde Petö, András Hajdu
Combining algorithms for automatic detection of optic disc and macula in fundus images. Comput. Vis. Image Underst. 116 (1) (2012)
Balázs Harangi, András Hajdu
Improving the accuracy of optic disc detection by finding maximal weighted clique of multiple candidates of individual detectors. ISBI (2012)
Bálint Antal, András Hajdu
An Ensemble-Based System for Microaneurysm Detection and Diabetic Retinopathy Grading. IEEE Trans. Biomed. Eng. 59 (6) (2012)
Bálint Antal, András Hajdu
An ensemble-based microaneurysm detector for retinal images. ICIP (2011)
Bálint Antal, András Hajdu
A Stochastic Approach to Improve Macula Detection in Retinal Images. Acta Cybern. 20 (1) (2011)
Henrietta Tomán, Laszlo Kovacs, Agnes Jonas, Lajos Hajdu, András Hajdu
A Generalization of Majority Voting Scheme for Medical Image Detectors. HAIS (2) (2011)
Bálint Antal, István Lázár, András Hajdu, Zsolt Török, Adrienne Csutak, Tünde Petö
Evaluation of the grading performance of an ensemble-based microaneurysm detector. EMBC (2011)
István Lázár, András Hajdu
Microaneurysm detection in retinal images using a rotating cross-section based model. ISBI (2011)
György Kovács, András Hajdu
Extraction of vascular system in retina images using Averaged One-Dependence Estimators and orientation estimation in Hidden Markov Random Fields. ISBI (2011)
Brigitta Nagy, Balázs Harangi, Bálint Antal, András Hajdu
Ensemble-based exudate detection in color fundus images. ISPA (2011)
György Kovács, Attila Fazekas, András Hajdu
Exponential contrast maximization of intensity images. ISPA (2011)
Bálint Antal, István Lázár, András Hajdu
An Ensemble Approach to Improve Microaneurysm Candidate Extraction. ICETE (Selected Papers) (2010)
Bálint Antal, András Hajdu, Adrienne Csutak, Tünde Petö
A Two-phase Pre-filtering Approach to the Automatic Screening of Digital Fundus Images. SIGMAP (2010)
Bálint Antal, István Lázár, András Hajdu
An Optimal Voting Scheme for Microaneurysm Candidate Extractors using Simulated Annealing. SIGMAP (2010)
Balázs Harangi, Rashid Jalal Qureshi, Adrienne Csutak, Tünde Petö, András Hajdu
Automatic detection of the optic disc using majority voting in a collection of optic disc detectors. ISBI (2010)
Bálint Antal, András Hajdu
Improving microaneurysm detection in color fundus images by using an optimal combination of preprocessing methods and candidate extractors. EUSIPCO (2010)
Roland Harangozo, Peter Veres, András Hajdu
Subsampling strategies to improve learning-based retina vessel segmentation. ICIP (2009)
András Hajdu, Ioannis Pitas
Piecewise Linear Digital Curve Representation and Compression Using Graph Theory and a Line Segment Alphabet. IEEE Trans. Image Process. 17 (2) (2008)
András Hajdu, Tamás Tóth
Approximating non-metrical Minkowski distances in 2D. Pattern Recognit. Lett. 29 (6) (2008)
András Hajdu, Ioannis Pitas
Tracing on heterogeneous grids to improve the concavity performance of snake algorithms. ISSPA (2007)
András Hajdu, Ioannis Pitas
Compression Optimized Tracing of Digital Curves using Graph Theory. ICIP (6) (2007)
András Hajdu, Ioannis Pitas
Optimal Approach for Fast Object-Template Matching. IEEE Trans. Image Process. 16 (8) (2007)

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Publication Activity (10 Years)

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András Hajdu