1. B. Harangi: Skin Lesion Classification with Ensembles of Deep Convolutional Neural Networks, Journal of Biomedical Informatics (Q1), vol. 86., no. 10., pp. 25-32., 2018, IF. 2.882.

  2. P. Török, B. Harangi: Digital Image Analysis with Fully Connected Convolutional Neural Network to Facilitate Hysteroscopic Fibroid Resection, Gynecologic and Obstetric Investigation (Q2), pp. 1-5, 2018, IF. 1.183.
 
  1. A. Hajdu, B. Harangi, J. Toth, M. Pap, A. 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. A. Hajdu, L. Hajdu, B. Harangi, A. Tiba: Detecting periodicity in digital images by the LLL algorithm, 20th European Conference on Mathematics for Industry (ECMI), Budapest, Hungary, p. 279., 2018.

  3. B. Harangi, A. Baran, A. 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.

  4. B. Harangi, J. Toth, A. 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.

  5. P. Burai, A. Hajdu, F. E. Manuel, B. 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.

  6. P. Török, B. Harangi: Digital Image Analysis with Full Connected Convolutional Neural Network to Facilitate Complete Fibroid Resection, Journal of Minimally Invasive Gynecology, vol. 24., no. 7., pp. 161-162., 2017.

  7. B. Harangi, A. Hajdu, P. Torok, R. Lampe: Differentiating ureter and arteries in the pelvic area via endoscope camera using deep neural network, 10th International Symposium on Image and Signal Processing and Analysis (ISPA 2017), Ljubljana, Slovenia, pp. 86-89, 2017.

  8. P. Burai, B. Harangi: Pixelwise segmentation of uterine wall in endoscopic video frame using convolutional neural networks, 10th International Symposium on Image and Signal Processing and Analysis (ISPA 2017), Ljubljana, Slovenia, pp. 95-98., 2017.

  9. 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.

  10. D. Kupás, Gy. Czifra, G. Andrassy, B. Harangi: Decision support system for the diagnosis of neurological disorders based on gaze tracking, 10th International Symposium on Image and Signal Processing and Analysis (ISPA 2017), Ljubljana, Slovenia, pp. 37-40, 2017.

  11. P. Török, J. Lorincz, B. Harangi: Differentiating tissues and organs in endoscopic images using a convolutional neural network, The 33rd Annual Meeting of ESHRE, Geneva, Switzerland, 2017.

  12. M. Pap, B. Harangi, A. Hajdu: Automatic Pigment Network Classification Using a Combination of Classical Texture Descriptors and CNN Features, 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2017), Thessaloniki, Greece, 2017, pp. 343-748.

  13. B. Harangi, A. Hajdu, R. Lampe, P. Torok: Recognizing ureter and uterine artery in endoscopic images using a convolutional neural network, 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2017), Thessaloniki, Greece, 2017, pp. 726-727.

  14. B. Harangi: Skin lesion detection based on an ensemble of deep convolutional neural network, arXiv preprint arXiv:1705.03360, 2017.

  15. A. Hajdu, B. Harangi, R. Besenczi, I. Lázár, G. Emri, L. Hajdu, R. Tijdeman: Measuring Regularity of Network Patterns by Grid Approximations using the LLL Algorithm, 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, Mexico, pp. 1524-1529.

  16. B. Harangi, A. Hajdu: Exudate Detection in Fundus Images Using Active Contour Methods and Regionwise Classification, Biomedical Image Segmentation: Advances and Trends (CRC Press), pp. 157-184, 2016.

  17. B. Harangi, A. Hajdu: Detection of the Optic Disc in Fundus Images by Combining Probability Models, Computers in Biology and Medicine, vol. 65, pp. 10-24, 2015, IF. 1.459.

  18. J. Tóth, L. Bartha, T. Szabó, I. Lázár, B. Harangi, A. Hajdu: An Online Application for Storing, Analyzing, and Sharing Dermatological Data, 6th IEEE International Conference on Cognitive Infocommunications, (CogInfoCom 2015), Győr, Hungary, 2015, pp. 339-342.

  19. K. Szitha, R. Besenczi, B Harangi, A. Csutak, A. Hajdu: Automatic Optic Disc and Optic Cup Detection in Retinal Images Acquired by Mobile Phone, Conference of the International Symposium on Image and Signal Processing and Analysis, 9th International Symposium on Image and Signal Processing and Analysis (ISPA 2015), Zagreb, Croatia, 2015, pp. 195-200.

  20. J. Toth, L. Kovacs, B. Harangi, Cs. Kiss, A. Mohacsi, Z. Orosz, A. Hajdu: An Online Benchmark System for Image Processing Algorithms, 5th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2014), Vietri sul Mare, Italy, 2014, pp. 377-382.

  21. J. Toth, L. Kovacs, B. Harangi, Cs. Kiss, A. Mohacsi, Z. Orosz, A. Hajdu: An Online System for Algorithm Benchmarking, 5th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2014), Vietri sul Mare, Italy, 2014, pp. 383.

  22. B. Harangi, A. Hajdu: Automatic Exudate Detection by Fusing Multiple Active Contours and Regionwise Classification, Computers in Biology and Medicine, vol. 54, pp. 156-171, 2014, IF. 1.475

  23. B. Harangi, A. Hajdu: Detection of Exudates in Fundus Images Using a Markovian Segmentation Model, 36th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC 2014), Chicago, IL, USA, 2014, pp. 130-133.

  24. B. Harangi, A. Hajdu: Improving automatic exudate detection based on the fusion of the results of multiple active contours, 10th IEEE International Symposium on Biomedical Imaging (ISBI 2013), San Francisco, CA, USA, 2013, pp. 45-48.

  25. B. Harangi, A. Hajdu: Aktív kontúr használatával és régió alapú osztályozással pontosított exudátum detektáló algoritmus, Képfeldolgozók es Alakfelismerők Országos Konferenciája (KEPAF 2013), Bakonybél, Hungary, 2013, pp. 379-392.

  26. B. Harangi, A. Hajdu: Automatic Exudate Detection Using Active Contour Model and Regionwise Classification, 34th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC 2012), San-Diego, California, USA, 2012, pp. 5951-5954.

  27. B. Harangi, B. Antal, A. Hajdu: Automatic Exudate Detection with Improved Naïve-Bayes Classifier, 25th IEEE International Symposium on Computer-Based Medical System (CBMS 2012), Rome, Italy, 2012, pp. 1-4.

  28. B. Harangi, B. Nagy, A. Hajdu: Improving the detection of excessive activation of ciliaris muscle by clustering thermal images, 11th Quantitative InfraRed Thermography (QIRT 2012), Naples, Italy, 2012, pp. 1-6.

  29. B. Harangi, A. Hajdu: Improving the accuracy of optic disc detection by finding maximal weighted clique of multiple candidates of individual detectors, IEEE International Symposium on Biomedical Imaging (ISBI 2012), Barcelona, Spain, 2012, pp. 602-605.

  30. B. Nagy, B. Harangi, B. Antal, A. Hajdu: Ensemble-based exudate detection in color fundus images, 7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011), Dubrovnik, Croatia, 2011, pp. 700-703.

  31. R. J. Qureshi, L. Kovacs, B. Harangi, B. Nagy, T. Peto, A. Hajdu: Combining algorithms for automatic detection of optic disc and macula in fundus images, ELSEVIER Computer Vision and Image Understanding”, Computer Vision and Image Understanding, vol. 116, no. 1, pp 138-145, 2012.

  32. L. Kovacs, B. Harangi, B. Nagy, A. Hajdu, R. J. Qureshi: Gráf alapú vakfolt és sárgafolt detektálás retina felvételeken, Alakfelismerők Társaságának 8. konferenciája (KÉPAF 2011), Szeged, Magyarország, 2011. január 25-28, pp. 329-341.

  33. B. Harangi, T. Csordás, A. Hajdu: Detecting the excessive activation of the ciliaris muscle on thermal images, IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI), Slovakia, 2011, pp. 329-331.

  34. R. J. Qureshi, L. Kovacs, B. Harangi, B. Nagy, A. Hajdu: Graph Based Detection of optic disc and fovea in retinal images, 4th International Workshop on Soft Computing Applications (IEEE SOFA 2010), Arad, 15-17 July, 2010, pp. 143-148.

  35. B. Harangi, T. Csordás, A. Hajdu: Detecting the excessive activation of the ciliaris muscle on thermal images, 8th International Conference on Applied Informatics (ICAI 2010), Eger, 2010, pp. 795.

  36. B. Nagy, L. Kovacs, B. Harangi, R. J. Qureshi, A. Hajdu: Automatic detection of the fovea and optic disk in digital retinal images by combining algorithms, 8th International Conference on Applied Informatics (ICAI 2010), Eger, pp. 143-152.
  
 
  1. R. J. Qureshi, L. Kovács, B. Harangi, B. Nagy, A. Hajdu, T. Peto: Detection of the optic disc and the macula through combining algorithms, University of Debrecen, Faculty of Informatics, Preprints No. 380 (Technical Reports No. 7/2010.)link

  2. 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 International Symposium on Biomedical Imaging (ISBI 2010), Rotterdam, The Netherlands, 2010, pp. 1329-1332.

  3. Harangi B., Csordás T., Hajdu A.: A ciliaris izom túlzott működésének vizsgálata szomatoinfrával készített képeken, Magyar Képfeldolgozók és Alakfelismerők Társaságának 7. konferenciája (KÉPAF 2009), Budapest, Magyarország, 2009. január 28-30, 8 oldal.
  
  Elérhetőség: Frissítve: Február 8., 2016.
email: harangi dot balazs at inf dot unideb dot hu