Publikációk

Linkek

Google Scholar

PhD. disszertáció

András Hajdu: Neighbourhood sequences and character recognition by Walsh transformation, University of Debrecen, Debrecen, Hungary, 2003.

Könyvfejezetek

  1. B. Antal, I. Lazar, A. Hajdu: An Ensemble Approach to Improve Microaneurysm Candidate Extraction, ICETE 2010, Obaidat, Mohammad S.; Tsihrintzis, George A.; Filipe, Joaquim (Eds.), Communications in Computer and Information Science, Vol. 222, Springer Verlag, pp. 378-394, Heidelberg, 2011. PDF

Cikkek

  1. P. Prasanna et al. (B. Harangi, A. Hajdu, A. Baran, J. Toth),  “IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge”, Elsevier - Medical Image Analysis, (2019) submitted.
  2. János Tóth, Henrietta Tomán, András Hajdu: Efficient Sampling-based Energy FunctionEvaluation for Ensemble Optimization UsingSimulated Annealing, IEEE Trans. on Image Processing (2019), submitted.
  3. Andras Hajdu, Gyorgy Terdik, Attila Tiba, Henrietta Toman: A stochastic approach to handle knapsack problems in the creation of ensembles, IEEE Trans. on Pattern Analysis and Machine Intelligence (2019), submitted.
  4. Andras Hajdu, Lajos Hajdu, Robert Tijdeman: Finding well approximating lattices for a finite set of points, Mathematics of Computation 88 (315), (2019) 369-387, IF=1.75.
  5. Bálint Antal, Mayo Kayann Guerra Silva Tavares, László Kovács, Balázs Harangi, István Lázár, Brigitta Nagy, György Kovács, József Szakács, János Tóth, Tünde Pető, Adrienne Csutak, András Hajdu: Data analysis applied to diabetic retinopathy screening: performance evaluation, Annales Mathematicae et Informaticae 49 (2018) pp. 3–9, IF=0.5.
  6. Gyorgy Kovacs, Andras Hajdu: A Self-Calibrating Approach for the Segmentation of Retinal Vessels by Template Matching and Contour Reconstruction, Medical Image Analysis 29 (2016 Apr), 24-46, IF=3.654.
  7. Ramin Karimi, Andras Hajdu: HTSFinder: Powerful Pipeline of DNA Signature Discovery by Parallel and Distributed Computing, Evolutionary Bioinformatics 12 (2016 Feb), 73-85, IF=1.452.
  8. Renato Besenczi, Janos Toth, Andras Hajdu: A review on automatic analysis techniques for color fundus photographs, Computational and Structural Biotechnology Journal 14 (2016), 371-384.
  9. Istvan Lazar, Andras Hajdu: Segmentation of retinal vessels by means of directional response vector similarity and region growing, Computers in Biology and Medicine (Elsevier) (2015), 66 (November 2015), 209-221, IF=1.240. (Esteemed Paper 2015, Top 10 - 15 Papers of the Year)
  10. Balazs Harangi, Andras Hajdu: Detection of the optic disc in fundus images by combining probability models, Computers in Biology and Medicine (Elsevier) (2015), 65 (October 2015), 10-24, IF=1.240.
  11. Mohammad Reza Azodinia, Andras Hajdu. Article: A method for image retrieval using combination of color and frequency layers, International Journal of Computer Applications 118(3) (May 2015), 10-13.
  12. Zsolt Torok, Tunde Peto, Eva Csosz, Edit Tukacs, Agnes Molnar, András Berta, Jozsef Tozser, Andras Hajdu, Valéria Nagy, Balint Domokos, Adrienne Csutak: Combined methods for diabetic retinopathy screening, using retina photographs and tear fluid proteomics biomarkers, Journal of Diabetes Research (2014), Paper 623619, 8 pages, IF=3.536.
  13. Balazs Harangi, Andras Hajdu: Automatic exudate detection by fusing multiple active contours and regionwise classification, Computers in Biology and Medicine (Elsevier) 54(1) (November 2014), 156-171, IF=1.475.
  14. Balint Antal, Andras Hajdu: An ensemble-based system for automatic screening of diabetic retinopathy, Knowledge-Based Systems (Elsevier) 60 (April 2014), 20-27, IF=4.104.
  15. Zsolt Torok, Tunde Peto, Eva Csosz, Edit Tukacs, Agnes Marta Molnar, Zsuzsanna Maros-Szabo1, Andras Berta, Jozsef Tozser, Andras Hajdu, Valeria Nagy, Balint Domokos, Adrienne Csutak: Tear fluid proteomics multimarkers for diabetic retinopathy screening, BMC Opthalmology 13(40) (August 2013), 8 pages, IF=1.44.
  16. Andras Hajdu, Lajos Hajdu, Agnes Jonas, Laszlo Kovacs, Henrietta Toman: Generalizing the majority voting scheme to spatially constrained voting, IEEE Trans. on Image Processing 22(11) (November 2013), 4182-4194, IF=3.042.
  17. Balint Antal, Andras Hajdu: Improving microaneurysm detection in color fundus images by using context-aware approaches, Computerized Medical Imaging and Graphics (Elsevier) 37(5-6) (September 2013), 403-408, IF=1.467.
  18. István Lázár and András Hajdu: Retinal microaneurysm detection through local rotating cross-section profile analysis, IEEE Trans. on Medical Imaging 32(2) (February 2013), 400-407, IF=3.643.
  19. György Kovacs and András Hajdu: Translation Invariance in the Polynomial Kernel Space and Its Applications in kNN Classification, Neural Processing Letters (Springer) (September 2012), 1-27, IF=1.088.
  20. András Hajdu, Lajos Hajdu and Robert Tijdeman: Approximation of the Euclidean distance by chamfer distances, Acta Cybernetica 20(3) (2012), 399-417. PDF
  21. Edit Tukacs, Agnes Korotij, Zsuzsanna Maros-Szabo, Agnes Marta Molnar, Andras Hajdu, Zsolt Torok: Model requirements for Biobank Software Systems, Bioinformation 8(6) (2012), 290-292. IF*=1.15. PDF
  22. Balint Antal, Andras Hajdu: An Ensemble-based System for Microaneurysm Detection and Diabetic Retinopathy Grading, IEEE Trans. on Biomedical Engineering 59(6) (2012), 1720-1726. IF=2.278. PDF
  23. Balint Antal, Andras Hajdu, Zsuzsa Szabo-Maros, Zsolt Torok, Adrienne Csutak, Tunde Peto: A Two-phase Decision Support Framework for the Automatic Screening of Digital Fundus Images, Journal of Computational Science (Elsevier) 3(5) (2012), 262-268. PDF
  24. Ahmed Ayoub, Andras Hajdu, Arpad Nagy: Automatic Detection of Pigmented Network in Melanoma Dermoscopic Images, The International Journal of Computer Science and Communication Security (IJCSCS) 2 (January 2012), 58-63. PDF
  25. Bálint Antal, András Hajdu:  Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods, Pattern Recognition 45 (2012), 255-261, IF=2.607. PDF
  26. Rashid Jalal Qureshi, Laszlo Kovacs, Balazs Harangi, Brigitta Nagy, Tunde Peto, Andras Hajdu: Combining algorithms for automatic detection of optic disc and macula in fundus images, Computer Vision and Image Understanding (CVIU) 116 (2012), 138–145, IF=2.404. PDF
  27. Bálint Antal, András Hajdu: A stochastic approach to improve macula detection in retinal images, Acta Cybernetica 20 (2011), 5-15. PDF
  28. András Hajdu and Ioannis Pitas: Piecewise linear digital curve representation and compression using graph theory and a line segment alphabet, IEEE Trans. on Image Processing 17/2 (February 2008), 126-133. PDF
  29. András Hajdu and Tamás Tóth: Approximating non-metrical Minkowski distances in 2D, Pattern Recognition Lett. 29/6 (April 2008), 813-821. PDF
  30. András Hajdu and Ioannis Pitas: Optimal approach for fast object-template matching, IEEE Trans. on Image Processing 16/8 (August 2007), 2048-2057. PDF
  31. András Hajdu, Lajos Hajdu and Robert Tijdeman: General neighbourhood sequences in Zn, Discrete Appl. Math. 155 (2007), 2507-2522. PDF
  32. András Hajdu, János Kormos, Zsolt Lencse, Lajos Trón and Miklós Emri: The "MEDIP-Platform Independent Software System for Medical Image Processing" project, Journal of Universal Computer Science 12/9 (2006), 1229-1239. PDF
  33. András Hajdu, János Kormos, Tamás Tóth and Krisztián Veréb: Applications of neighborhood sequence in image processing and database retrieval, Journal of Universal Computer Science 12/9 (2006), 1240-1253. PDF
  34. Attila Fazekas, András Hajdu and Lajos Hajdu: Metrical neighborhood sequences in Zn, Pattern Recognition Lett. 26/13 (2005), 2022-2032. PDF
  35. András Hajdu, János Kormos, Benedek Nagy, Zoltán Zörgő: Choosing appropriate distance measurement in digital image segmentation, Annales Univ.Sci. Budapest. Sect. Comp. 24 (2004), 193-208. PDF
  36. András Hajdu and Lajos Hajdu: Approximating the Euclidean distance using non-periodic neighbourhood sequences, Discrete Math. 283/1-3 (2004), 101-111. PDF
  37. András Hajdu: Geometry of neighbourhood sequences, Pattern Recognition Lett. 24/15 (2003), 2597-2606. PDF
  38. András Hajdu and Lajos Hajdu: Velocity and distance of neighbourhood sequences, Acta Cybernet. 16 (2003), 133-145. PDF
  39. Attila Fazekas, András Hajdu and Lajos Hajdu: Lattice of generalized neighbourhood sequences in nD and ¥D, Publ. Math. Debrecen 60 (2002), 405-427. PDF
  40. Attila Fazekas, András Hajdu: Recognizing typeset documents using Walsh transformation, J. Comput. Inf. Technol. 9 (2001), 101-112. PDF
  41. Attila Fazekas and András Hajdu: An algorithm using Walsh transformation for compressing typeset documents, Acta Math. Acad. Paedagog. Nyházi. (N.S.) 15 (1999), 61-68. PDF
  42. Attila Fazekas and András Hajdu: Analysing the noise sensitivity of skeletonization algorithms, Studia Universitatis "Babes-Bolyai", Vol. II (1997), 55-70. PDF

Konferenciakiadványok

  1. Andras Hajdu, Balazs Harangi, Janos Toth, Melinda Pap and Agnes Baran: Combining convolutional neural networks and hand-crafted features in medical image classification tasks, 20th European Conference on Mathematics for Industry (ECMI), Budapest, Hungary, p. 299., 2018.
  2. Andras Hajdu, Lajos Hajdu, Balazs Harangi and Attila Tiba: Detecting periodicity in digital images by the LLL algorithm, 20th European Conference on Mathematics for Industry (ECMI), Budapest, Hungary, p. 279., 2018.
  3. Attila Tiba, Andras Hajdu, Gyorgy Terdik, Henrietta Toman: Optimizing majority voting based systems under a resource constraint for multiclass problems, The 20th European Conference on Mathematics for Industry (ECMI), Budapest, Hungary, 2018.
  4. Balazs Harangi, Agnes Baran, Andras Hajdu: Classification of Skin Lesions Using an Ensemble of Deep Neural Networks, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Hawaii, USA, pp. 2575-2578., 2018.
  5.  Balazs Harangi, Janos Toth, Andras Hajdu: Fusion of Deep Convolutional Neural Networks for Microaneurysm Detection in Color Fundus Images, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Hawaii, USA, pp. 3705-3708., 2018.
  6. Peter Burai, Andras Hajdu, Felipe-Riverón Edgardo Manuel, Balazs Harangi, Segmentation of the uterine wall by an ensemble of fully convolutional neural networks, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Hawaii, USA, pp. 49-52., 2018.
  7. A. Tiba, B. Harangi, A. Hajdu: Efficient Texture Regularity Estimation for Second Order Statistical Descriptors, 10th International Symposium on Image and Signal Processing and Analysis (ISPA 2017), Ljubljana, Slovenia, pp. 90-94, 2017.
  8. A. Hajdu, B. Harangi, R. Besenczi, I. Lazar, G. Emri, L. Hajdu, R. Tijdeman: Title Measuring Regularity of Network Patterns by Grid Approximations using the LLL Algorithm, 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 2016, 1525-1530.
  9. A. Hajdu, H. Toman, L. Kovacs, L. Hajdu: Composing ensembles of object detectors under execution time constraint, 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 2016, 217-222.
  10. J. Toth, L. Bartha, T. Szabo, I. Lazar, B. Harangi, A. Hajdu: An Online Application for Storing, Analyzing, and Sharing Dermatological Data, 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2015), Gyor. Hungary, 339-342.                                                                       
  11. R. Besenczi, K. Szitha, B. Harangi, A. Csutak, A. Hajdu: Automatic Optic Disc and Optic Cup Detection in Retinal Images Acquired by Mobile Phone, 9th International Symposium on Image and Signal Processing and Analysis (ISPA 2015), Zagreb, Croatia, pp. 195-200.
  12. R. Karimi, A. Hajdu: SRIdent: A novel pipeline for real-time identification of species from high-throughput sequencing reads in metagenomics and clinical diagnostic assays, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2015), Milano, Italy, 2015, 6481-6484.
  13. J. Toth, H. Toman, A. Hajdu: Improving the performance of an ensemble-based exudate detection system using stochastic parameter optimization, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2015), Milano, Italy, 2015, 5243-5246.
  14. Mohammad Reza Azodinia, Andras Hajdu: A recommender system that deals with items having an image as well as quantitative features,  IEEE 12th International Symposium on Intelligent Signal Processing (WISP2015), 15-17 May 2015, Siena, Italy, 1-6.
  15. Renato Besenczi, Kristof Szitha, Andras Hajdu: A framework for distributed processing on an offline cell phone network, 5th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2014), Vietri sul Mare, Italy, 2014, 257-262.
  16. Janos Toth, Laszló Kovacs, Balazs Harangi, Csaba Kiss, Andras Mohacsi, Zoltan Orosz, Andras Hajdu: An Online Benchmark System for Image Processing Algorithms, 5th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2014), Vietri sul Mare, Italy, 2014, 377-382.
  17. Janos Toth, Laszló Kovacs, Balazs Harangi, Csaba Kiss, Andras Mohacsi, Zoltan Orosz, Andras Hajdu: An Online System for Algorithm Benchmarking, 5th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2014), Vietri sul Mare, Italy, 2014, abstract, 383.
  18. Renato Besenczi, Kristof Szitha, Andras Hajdu: Distributed eye lesion detection on an offline cell phone network, 5th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2014), Vietri sul Mare, Italy, 2014, abstract, 467.
  19. B. Harangi, A. Hajdu: Detection of exudates in fundus images using a Markovian segmentation model, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2014), Chicago, USA, 2014, 130-133.
  20. R. Karimi, L. Bellatreche, P. Girard, A. Boukorca, A. Hajdu: BINOS4DNA: Bitmap indexes and NoSQL for identifying species with DNA signatures through metagenomics samples, 5th International Conference on Information Technology in Bio- and Medical Informatics (ITBAM 2014), Munich, Germany, Lecture Notes in Computer Science 8649, 2014, 1-14.
  21. J. Toth, L. Szakacs, A. Hajdu: Finding the optimal parameter setting for an ensemble-based lesion detector, IEEE 21st International Conference on Image Processing (ICIP2014), Paris, France, 2014, accepted.
  22. J. Toth, I. Papp, R. Tornai, I. Labancz, E. H. Pocsai, A. Hajdu: Cognitive visualization for the design of complex systems, 4th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2013), Budapest, Hungary, 2013, 363-368.
  23. Cs. Lamfalusi, D. Girus, K. Kruppa, J. Toth, E. H. Pocsai, R. Kunkli, A. Hajdu, B. L. Balint: Extending the visualization capabilities of a genome browser, 4th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2013), Budapest, Hungary, 2013, 419-422.
  24. Cs. Lamfalusi, D. Girus, K. Kruppa, J. Toth, E. H. Pocsai, R. Kunkli, A. Hajdu, B. L. Balint: Adding a scalable visualization technique to the UCSC genome browser, 4th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2013), Budapest, Hungary, 2013, 943 (demo paper).
  25. A. Hajdu, L. Hajdu, L. Kovacs, H. Toman: Diversity Measures for Majority Voting in the Spatial Domain, 8th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2013), Lecture Notes in Artificial Intelligence 8073, 2013, 314-323.
  26. B. Antal, A. Hajdu: Evaluation of Preprocessing Methods for Microaneurysm Detection, IEEE-EURASIP 8th Int'l Symposium on Image and Signal Processing and Analysis, Trieste, Italy, 2013, 716-719.
  27. B. Nagy, B. Antal, A. Hajdu: Image Database Clustering To Improve Exudate Detection In Color Fundus Images, IEEE-EURASIP 8th Int'l Symposium on Image and Signal Processing and Analysis, Trieste, Italy, 2013, 720-724.
  28. B. Antal, B. Remenyik, A. Hajdu: An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation, 10th International Conference on Signal Processing and Multimedia Applications (SIGMAP 2013), Reykjavík, Iceland, 2013, accepted.
  29. B. Harangi, A. Hajdu: Improving Automatic Exudate Detection Based on the Fusion of the Results of Multiple Active Contours, IEEE 10th International Symposium on Biomedical Imaging (ISBI2013), San Francisco, CA, USA, 2013, 45-48.
  30. A. Hajdu, J. Tóth, Z. Pistar, B. Domokos, Zs. Török: An ensemble-based collaborative framework to support customized user needs, 3rd IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2012), Kosice, Slovakia, 2012, 285-290. PDF
  31. I. Lazar, A. Hajdu: Segmentation of Vessels in Retinal Images Based on Directional Height Statistics, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2012), San Diego, USA, 2012, 1458-1461.
  32. B. Antal, I. Lazar, A. Hajdu: An adaptive weighting approach for ensemble-based detection of microaneurysms in color fundus images, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2012), San Diego, USA, 2012, 5955-5958.
  33. B. Harangi, A. Hajdu, I. Lazar: Automatic Exudate Detection Using Active Contour Model and Regionwise Classification, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2012), San Diego, USA, 2012, 5951-5954.
  34. B. Nagy, B. Antal and A. Hajdu: Image Database Clustering To Improve Microaneurysm Detection In Color Fundus Images, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012), Rome, Italy, 2012, 1-6. PDF
  35. B. Harangi, B. Antal and A. Hajdu: Automatic Exudate Detection with Improved Naïve-Bayes Classifier, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012), Rome, Italy, 2012, 1-4. PDF
  36. B. Harangi, A. Hajdu: Improving the accuracy of optic disc detection by finding maximal weighted clique of multiple candidates of individual detectors, IEEE 9th International Symposium on Biomedical Imaging (ISBI2012), Barcelona, Spain, 2012, 602-605. PDF
  37. H. Toman, L. Kovacs, A. Jonas, L. Hajdu, A. Hajdu: Generalized weighted majority voting with an application to algorithms having spatial output, 7th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), Salamanca, Spain, 2012, Volume Part II, Lecture Notes in Computer Science 7209, 2012, 56-67. PDF
  38. B. Antal, I. Lazar, A. Hajdu, Zs. Torok, A. Csutak, T. Peto: Evaluation of the grading performance of an ensemble-based microaneurysm detector, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2011), Boston, USA, 2011, 5943-5946. PDF
  39. B. Antal, A. Hajdu: An Ensemble-Based Microaneurysm Detector for Retinal Images, IEEE 18th International Conference on Image Processing (ICIP2011), Brussels, Belgium, 2011, 1621-1624. PDF
  40. Gy. Kovacs, A. Hajdu: Extraction of vascular system in retina images using averaged one-dependence estimators and orientation estimation in Hidden Markov Random Fields, IEEE 8th International Symposium on Biomedical Imaging (ISBI2011), Chicago, USA, 2011, 693-696. PDF
  41. I. Lazar, A. Hajdu: Microaneurysm detection in retinal images using a rotating cross-section based model, IEEE 8th International Symposium on Biomedical Imaging (ISBI2011), Chicago, USA, 2011, 1405-1409. PDF
  42. Adrienne Csutak, Balint Antal, Istvan Lazar, Tunde Peto, Zsolt Torok, Attila Biro, Andras Hajdu: Diabetic retinopathy screening with computational support, European Association for Vision and Eye Research Congress (EVER 2011), Crete, Greece, abstract. PDF
  43. B. Nagy, B. Harangi, B. Antal, A. Hajdu: Ensemble-based exudate detection in color fundus images, IEEE 7th International Symposium on Image and Signal Processing and Analysis (ISPA2011), Dubrovnik, Croatia, 2011, 700 - 703. PDF
  44. Gy. Kovacs, A. Fazekas, A. Hajdu: Exponential contrast maximization of intensity images, IEEE 7th International Symposium on Image and Signal Processing and Analysis (ISPA2011), Dubrovnik, Croatia, 2011, 139 - 142. PDF
  45. H. Toman, L. Kovacs, A. Jonas, L. Hajdu, A. Hajdu: A generalization of majority voting scheme for medical image detectors, 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2011), Wroclaw, Poland, in Lecture Notes in Artificial Intelligence 6679/2 (2011), 189-196. PDF
  46. B. Harangi, T. Csordas, A. Hajdu: Detecting the excessive activation of the ciliaris muscle on thermal images, IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI 2011), Smolenice, Slovakia, 2011, 4 pages. PDF
  47. B. Antal, I. Lazar, A. Hajdu: Mikroaneurizma-detektálás összetett rendszerrel, Képfeldolgozók és Alakfelismerők Országos Konferenciája (KÉPAF), Szeged, Hungary, 2011, in Hungarian, accepted. PDF
  48. L. Kovacs, B. Harangi, B. Nagy, R.J. Qureshi, A. Hajdu: Gráf-alapú vakfolt és sárgafolt detektálás retinaképeken, Képfeldolgozók és Alakfelismerők Országos Konferenciája (KÉPAF), Szeged, Hungary, 2011, in Hungarian, accepted. PDF
  49. I. Lazar, R.J. Qureshi, A. Hajdu: A novel approach for the automatic detection of microaneurysms in retinal images, 6th IEEE International Conference on Emerging Technologies (ICET), Islamabad, Pakistan, 2010, 193-197. PDF
  50. R. J. Qureshi, L. Kovacs, B. Nagy, B. Harangi, A. Hajdu: Graph based detection of optic disc and fovea in retinal images, 4th IEEE International Workshop on Soft Computing Applications, Arad, Romania, 2010, 143-148. PDF
  51. B. Antal, I. Lázár, A. Hajdu, Zs. Török, A. Csutak, T. Pető: A multi-level ensemble-based system for detecting microaneurysms in fundus images, 4th IEEE International Workshop on Soft Computing Applications, Arad, Romania, 2010, 137-142. PDF
  52. B. Antal, A. Hajdu: Improving microaneurysm detection in color fundus images by using an optimal combination of preprocessing methods and candidate extractors, 18th European Signal Processing Conference (EUSIPCO 2010), Aalborg Denmark, 2010, 1224-1228. PDF
  53. B. Antal, A. Csutak, T. Peto, A. Hajdu: A two-phase pre-filtering approach to the automatic screening of digital fundus images, 5th International Conference on Signal Processing and Multimedia Applications (SIGMAP 2010), Athens, Greece, 2010, 155-158. PDF
  54. B. Antal, I. Lazar, A. Hajdu: An optimal voting scheme for microaneurysm candidate extractors using simulated annelaing, 5th International Conference on Signal Processing and Multimedia Applications (SIGMAP 2010), Athens, Greece, 2010, 80-87. PDF
  55. B. Harangi, R.J. Qureshi, A. Csutak, T. Peto, A. Hajdu: Automatic detection of the optic disc using majority voting in a collection of optic disc detectors, IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010), Rotterdam, The Netherlands, 2010, 1329-1332. PDF
  56. I. Csosz, A. Csutak, T. Peto, A. Hajdu: Well-fitting curve models with few parameters for vascular systems on retinal images, Fifth Hungarian Conference on Computer Graphics and Geometry, Budapest, SZTAKI, Hungary, 2010, 140-144. PDF
  57. H. Toman, A. Hajdu, J. Szakacs, D. Hornyik, A. Csutak, T. Peto: Thickness-based binary morphological improvement of distorted digital line intersections, Fifth Hungarian Conference on Computer Graphics and Geometry, Budapest, SZTAKI, Hungary, 2010, 133-139. PDF
  58. R. Harangozo, P. Veres, A. Hajdu: Subsampling strategies to improve learning-based retina vessel segmentation, IEEE 16th International Conference on Image Processing (ICIP2009), 7 – 11 November 2009, Cairo, Egypt, 3349 - 3352. PDF
  59. A. Hajdu, P. Veres, A. Tanacs, R. Harangozo: Object subsampling strategies to improve computational performance, IEEE 6th International Symposium on Image and Signal Processing and Analysis (ISPA2009), 16 – 19 September 2009, Salzburg, Austria, 448 - 453. PDF
  60. B. Antal, A. Hajdu: A prefiltering approach for an automatic screening system, IEEE 6th International Symposium on Intelligent Signal Processing (WISP2009), 26 – 28 August 2009, Budapest, Hungary, 265 - 268. PDF
  61. A. Hajdu, T. Peto, A. Csutak, Zs. Torok, R. Harangozo, J. Hulvely, A. Biro: Extracting metadata from fundus images for the screening of diabetic retinopathy, IEEE 6th International Symposium on Intelligent Signal Processing (WISP2009), 26 – 28 August 2009, Budapest, Hungary, 259 - 263. PDF
  62. András Hajdu, Péter Veres, Ioannis Pitas: Model-based subsampling: Theory, KÉPAF 2009, Budapest, Hungary (2009), 8 pages. PDF
  63. András Hajdu, Péter Veres, Attila Tanács, Tünde Pető, Roland Harangozó, Julianna Hülvely, Zsolt Török, Attila Biró, Adrienne Csutak: Model-based subsampling: Applications, KÉPAF 2009, Budapest, Hungary (2009), 8 pages. PDF
  64. Balázs Harangi, Tibor Csordás, András Hajdu: A ciliaris izom tulzott mukodesenek vizsgalata szomatoinfraval keszitett kepeken, KÉPAF 2009, Budapest, Hungary (2009), 8 pages, in Hungarian. PDF
  65. András Hajdu, Ioannis Pitas: Digital curve compression based on graph theory, KÉPAF 2009, Budapest, Hungary (2009), 10 pages. PDF
  66. András Hajdu, Péter Veres, Attila Tanács, Ioannis Pitas: Simplification of objects for faster registration, International conference "Numerical geometry, grid generation and scientific computing" (NUMGRID2008) &  "Voronoi-2008" workshop, (2008) Moscow, Russia, 8 pages. PDF
  67. András Hajdu, Tamás Tóth and Péter Veres: Fast discrete approximations of non-metrical distances, Fourth Hungarian Conference on Computer Graphics and Geometry (2007), Budapest, Hungary, 164-171. PDF
  68. András Hajdu, Péter Veres and Attila Tanács: Simplification of objects for adaptive matching and visualization, Fourth Hungarian Conference on Computer Graphics and Geometry (2007), Budapest, Hungary, 157-163. PDF
  69. András Hajdu, Lajos Hajdu and Attila Fazekas: Properties of natural ordering relation for octagonal neighborhood sequences, 5th International Symposium on Image and Signal Processing and Analysis (ISPA 2007), September 27-29, 2007, Istanbul, Turkey, 168-173. PDF
  70. András Hajdu and Ioannis Pitas: Compression optimized tracing of digital curves using graph theory, International Conference on Image Processing (IEEE ICIP 2007) (2007), San Antonio, Texas, USA, Vol. VI, 453-456. PDF
  71. András Hajdu and Ioannis Pitas: Content adaptive heterogeneous snakes, International Conference on Image Processing (IEEE ICIP 2007) (2007), San Antonio, Texas, USA, Vol. I, 253-256. PDF
  72. András Hajdu, Charalambos Giamas, Nikolas Vretos and Ioannis Pitas: Metadata description of thermal videos for rescue operations, 8th International Symposium on Signals, Circuits and Systems (IEEE ISSCS 2007) (2007), Iasi, Romania Vol 2, 4 pages. PDF
  73. András Hajdu, Charalambos Giamas and Ioannis Pitas: Object simplification using skeleton-based weight function, 8th International Symposium on Signals, Circuits and Systems (IEEE ISSCS 2007) (2007), Iasi, Romania, Vol 2, 4 pages. PDF
  74. András Hajdu, Charalambos Giamas and Ioannis Pitas: Thermal video processing support for rescue operations, KÉPAF6 (2007), Debrecen, Hungary, 207-211. PDF
  75. András Hajdu and Tamás Tóth: Approximating non-metrical Minkowski distances in 2D, KÉPAF6 (2007), Debrecen, Hungary, 54-62. PDF
  76. András Hajdu and Ioannis Pitas: Tracing on heterogeneous grids to improve concavity performance of snake algorithms, International Symposium on Signal Processing and its Applications (ISSPA 2007) (2007), Sharjah, United Arab Emirates (U.A.E.). PDF
  77. Stelios Asteriadis, Nikolaos Nikolaidis, András Hajdu and Ioannis Pitas, A novel eye-detection algorithm utilizing edge-related geometrical information, 14th European Signal Processing Conference (EUSIPCO06) (2006), Florence, Italy. PDF
  78. András Hajdu, Athanasios Roubies and Ioannis Pitas, Optimized chamfer matching for snake-based image contour representations, IEEE International Conference on Multimedia & Expo (ICME  2006) (2006), Toronto, Canada, 1017-1020. PDF
  79. Stelios Asteriadis, Nikolaos Nikolaidis, András Hajdu and Ioannis Pitas, An Eye detection algorithm, 2nd IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (2006), Marrakech, Morocco. PDF
  80. Athanasios Roubies, András Hajdu and Ioannis Pitas, Improving the performance of the GVF snake algorithm, 2nd IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (2006), Marrakech, Morocco. PDF
  81. András Hajdu and Lajos Hajdu: On the lattice structure of subsets of octagonal neighborhood sequences in Zn, Lecture Notes in Computer Science 4245 (2006), 211-222. PDF
  82. András Hajdu, Tamás Tóth, Krisztián Veréb: Neighborhood sequences for comparing similarity vectors in image retrieval, Summer University on Information Technology in Agriculture and Rural, Proc. SU2006 (2006), Debrecen, Hungary, 118-123. PDF
  83. Attila Fazekas, András Hajdu, István Sánta and Tamás Tóth: Neighborhood sequences and their applications in the digital image processing, Lectures Notes in Computer Science 3691 (2005), 766-772. PDF
  84. András Hajdu, Lajos Hajdu and Tamás Tóth, Properties and applications of Neighborhood Sequences, Third Hungarian Conference on Computer Graphics and Geometry, Budapest, (2005), 148-154. PDF
  85. András Hajdu, János Kormos, Tamás Tóth and Krisztián Veréb, Szomszédsági szekvenciák és alkalmazásaik a képfeldolgozásban és képi adatbázisokban, Informatika a Felsőoktatásban 2005 (2005), Debrecen, Hungary, ISBN 963 472 909 6, (in Hungarian). PDF
  86. Miklós Emri, András Hajdu, János Kormos and Zsolt Lencse, MEDIP - platformfüggetlen szoftver keretrendszer orvosi képfeldolgozáshoz, Informatika a Felsőoktatásban 2005 (2005), Debrecen, Hungary, ISBN 963 472 909 6, (in Hungarian). PDF
  87. András Hajdu, János Kormos, Attila Lukács, Árpád Pányik, Csilla Szabó, Péter Veres and Zoltán Zörgő: Multipurpose 3D modeling for virtual clinical interventions, 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2005) (2005), Lisbon, Portugal. PDF
  88. András Hajdu, Attila Fazekas and Lajos Hajdu, Lattices of metrical neighborhood sequences, Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (HACIPPR 2005) (2005), Veszprém, Hungary, 143-147. PDF
  89. András Hajdu, Tamás Tóth and Krisztián Veréb: Novel approach for comparing similarity vectors in image retrieval, Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (HACIPPR 2005) (2005), Veszprém, Hungary, 87-94. PDF
  90. András Hajdu, Márton István Hodnics, Kornél Kovács and Antal Ungvári: Machine vision systems in human user environments  – The Turk 2, Norwegian Conference on Image Processing and Pattern Recognition (NOBIM 2004) (2004), Stavanger, Norway, 58-61. PDF
  91. András Hajdu, János Kormos and Zoltán Zörgő: Finding optimal distance functions for statistical image segmentation, 6th World Congress of the Bernoulli Society for Mathematical Statistics and Probability (2004), Barcelona, Spain, pp. 128 (extended abstract). PDF
  92. András Hajdu, Sándor Manó and Zoltán Zörgő: The "spiral cut" technique for leg lengthening, 1st Hungarian Conference on Biomechanics (2004), Budapest, Hungary, 151-160. PDF
  93. András Hajdu, János Kormos and Zoltán Zörgő: Statistical analysis of distance functions for digital image processing applications, 6th International Conference on Applied Informatics (2004), Eger-Noszvaj, Hungary, 499. PDF
  94. Attila Fazekas, Lajos Kollár, Zoltán Zörgő, András Hajdu, János Kormos and Krisztián Veréb: Intelligent urban traffic development support system, 6th International Conference on Applied Informatics (2004), Eger-Noszvaj, Hungary, 17-26. PDF
  95. Zoltán Csernátony, András Hajdu, Sándor Manó and Zoltán Zörgő: 3D modell készítése ortopédiai műtétek szimulálásához, KÉPAF4 (2004), Miskolc-Tapolca, Hungary, 43-49, (in Hungarian). PDF
  96. András Hajdu and Lajos Hajdu: Analytical and approximation properties of neighborhood sequences, KÉPAF4 (2004), Miskolc-Tapolca, Hungary, 97-105. PDF
  97. András Hajdu, Tamás Tóth, Krisztián Veréb and Zoltán Zörgő: Distance functions in multidimensional image processing applications, KÉPAF4 (2004), Miskolc-Tapolca, Hungary, 106-111. PDF
  98. András Hajdu, Márton István Hodnics, Kornél Kovács and Antal Ungvári: Gépi látáson alapuló rendszerek humán felhasználói környezetben – A Török 2, KÉPAF4 (2004), Miskolc-Tapolca, Hungary, 112-117, (in Hungarian). PDF
  99. András Hajdu, Benedek Nagy and Zoltán Zörgő: Indexing and segmenting colour images using neighbourhood sequences, IEEE International Conference of Image Processing (ICIP 2003) (2003), Barcelona, Spain, I/957-960. PDF
  100. Zoltán Zörgő, András Hajdu, Sándor Manó, Zoltán Csernátony and Szabolcs Molnár: Analyzis of a new femur lengthening surgery, IEEE IASTED International Conference on Biomechanics (BioMech 2003) (2003), Rhodes, Greece, Biomechanics/34-38. PDF
  101. Attila Fazekas, András Hajdu and Lajos Hajdu: Lattice of generalized neighbourhood sequences in nD, IEEE 3rd International Symposium on Image and Signal Processing and Analysis (ISPA 2003) (2003), Rome, Italy, 107-111. PDF
  102. Attila Fazekas and András Hajdu: Extracting Feature Vectors for Character Recognition by Walsh Transformation, KÉPAF 3 (2002), Domaszék, Hungary, 272-278. PDF
  103. András Hajdu and Benedek Nagy: Approximating the Euclidean circle using neighbourhood sequences, KÉPAF 3 (2002), Domaszék, Hungary, 260-271. PDF
  104. András Hajdu and Zoltán Zörgő: Orvosi szoftver keretrendszer mûtéti tervezéshez, KÉPAF 3 (2002), Domaszék, Hungary, 140-151, (in Hungarian). PDF
  105. András Hajdu and János Kormos: A Debreceni Egyetem intézeteinek együttműködése különböző képfeldolgozási projektekben, Informatika a Felsőoktatásban 2002 (2002), Debrecen, Hungary, 773-780, (in Hungarian). PDF
  106. Attila Fazekas, Gábor Fazekas, András Hajdu and János Kormos: A digitális képfeldolgozás oktatásának eredményei és néhány aktuális kérdése a Debreceni Egyetemen, Informatika a Felsőoktatásban 2002 (2002), Debrecen, Hungary, 758-765, (in Hungarian). PDF
  107. Attila Fazekas, András Hajdu and Lajos Hajdu: Analyzing the structure of the set of neighbourhood sequences, 5th International Conference on Applied Informatics (2001), Eger-Noszvaj, Hungary, 41-48. PDF
  108. Attila Fazekas, András Hajdu and Lajos Hajdu: Véges dimenziós szekvenciák strukturális vizsgálata, KÉPAF 2 (2000), Noszvaj, Hungary, 29-32, (in Hungarian). PDF
  109. Attila Fazekas, András Hajdu and Lajos Hajdu: Végtelen dimenziós szekvenciák strukturális vizsgálata, KÉPAF 2 (2000), Noszvaj, Hungary, 33-36, (in Hungarian). PDF
  110. Attila Fazekas, András Hajdu and Lajos Hajdu: Properties of generalized neighbourhood sequences in finite dimension, 4th International Conference on Applied Informatics (1999), Eger-Noszvaj, Hungary, 129-134. PDF
  111. Baráz Ákos, Fazekas Attila, Hajdu András és Jónás Richárd: A gyakorlati feladatok szerepe a digitális képfeldolgozás oktatásában és megoldásukat támogató szoftverek, Informatika a Felsôoktatásban'99 (1999), Debrecen, Hungary, 116-121, (in Hungarian). PDF
  112. Attila Fazekas and András Hajdu: Analysing the noise sensitivity of skeletonization process, Conference of PhD Students in Computer Science (CS2) (1998), Szeged, Hungary, 40 (extended abstract). PDF

Ismeretterjesztő cikkek

  1. András Hajdu and Zoltán Zörgő: ANSYS for Virtual Surgery: FEA is a valuable tool that aids doctors in orthopedic operations, ANSYS Solutions Summer 2004 (2004), 10-13. PDF
  2. Miklós Emri, András Hajdu, János Kormos and Zoltán Zörgő: MEDIP – Platformfüggetlen keretrendszer orvosi képfeldolgozáshoz, Informatika és Menedzsment az Egészségügyben (IME) III/5 (2004), 44-48, (in Hungarian). PDF

További előadások

  1. András Hajdu: Térbeli szavazórendszerek alkalmazásokkal, Informatikai Tanszékcsoport szemináriuma, (in Hungarian), Szeged, 2012.
  2. András Hajdu: Component Reuse in Ensemble-based Medical Image Processing Applications, 12th Symposium on Programming Languages and Software Tools - SPLST'11, Tallin, Estonia, Invited Lecture.
  3. Summer School on Image Processing 2011, Szeged, Hungary, Invited Lecture.
  4. András Hajdu: Digital Image Processing in Complex Systems, ICAI 2010 - 8th International Conference on Applied, Eger, Hungary, Invited Lecture.
  5. András Hajdu: Alakzatok egyszerűsítése célzott mintavételezéssel, Informatikai Tanszékcsoport szemináriuma, (in Hungarian), Szeged, 2008.
  6. András Hajdu, Sándor Manó and Zoltán Zörgő: Csontos műtéti technikák kidolgozása ANSYS végeselem rendszerrel, 3. Végeselem Felhasználói Konferencia, BME, Budapest, Hungary, 2004, (in Hungarian).
  7. András Hajdu, Szomszédsági szekvenciák és műtétek számítógépes tervezése, TRB-előadás, BME, Budapest, Hungary, 2003, (in Hungarian).
  8. András Hajdu, Medical Image Processing and Finite Element Analysis, 11th Summer School on Image Processing, Timisoara, Romania, 2003.
  9. Zoltán Csernátony, András Hajdu, Sándor Manó and Zoltán Zörgő: Egy új csontnyújtási eljárás elemzése az Ansys-szal, Magyarországi ANSYS Felhasználói Konferencia, Budapest, Hungary, 2003, (in Hungarian).
  10. András Hajdu, as a member of the IKTA-4 0006/2001 consortium: MEDIP Platformfüggetlen szoftver keretrendszer orvosi képfeldolgozáshoz (projektindító előadás), Budapest, Hungary, 2001, (in Hungarian).
  11. András Hajdu, Image Processing Applications at the University of Debrecen, 9th Summer School on Image Processing, Szeged, Hungary, 2001.
  12. Attila Fazekas and András Hajdu: A character recognition algorithm based on Walsh transformation, 2nd Conference of PhD Students in Computer Science, Miskolc, Hungary, 1999.

Szoftver

  1. HTSFinder: Powerful Pipeline of k-mers Counting and DNA Signature Discovery by Using Hadoop and Hive as Applications of Parallel and Distributed Computing
  2. SRIdent: A Novel Pipeline for Real-time Identification of Species from High-throughput Sequencing Reads in Metagenomics and Clinical Diagnostic Assays  
  3. DermDB: An Online Application for Storing, Analyzing, and Sharing Dermatological Data