Professional
Selected Publications:
·
András
Hajdu, Lajos Hajdu, Robert Tijdeman: Finding well
approximating lattices for a finite set of points, Math. Comp. 88 (2019),
369-387.
·
György Kovacs, András
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.
·
István Lázár,
Andras Hajdu: Segmentation
of retinal vessels by means of directional response vector similarity and
region growing, Computers in Biology and
Medicine (2015), 66 (November
2015), 209-221. (Esteemed Paper 2015, Top 10 - 15 Papers of the Year)
·
Balázs Harangi, András Hajdu: Detection of
the optic disc in fundus images by combining probability models, Computers in Biology and Medicine (2015), 65 (October 2015), 10-24
·
Bálint Antal, András Hajdu: An
ensemble-based system for automatic screening of diabetic retinopathy, Knowledge-Based Systems (Elsevier) 60 (April 2014), 20-27.
·
András Hajdu, Lajos Hajdu, Ágnes Jónás, László
Kovács, Henrietta Tomán:
Generalizing the majority voting scheme to spatially constrained voting, IEEE Trans. on Image Processing 22(11) (November 2013), 4182-4194.
·
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.
·
Bálint Antal, András Hajdu: An
Ensemble-based System for Microaneurysm Detection and
Diabetic Retinopathy Grading, IEEE Trans.
on Biomedical Engineering 59(6)
(2012), 1720-1726.
·
Rashid
Jalal Qureshi, László Kovács, Balázs Harangi, Brigitta Nagy, Tünde Pető, András Hajdu: Combining algorithms
for automatic detection of optic disc and macula in fundus images, Computer Vision and Image Understanding
(CVIU) 116 (2012), 138-145.
·
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.
·
András
Hajdu and Tamás Tóth: Approximating non-metrical Minkowski
distances in 2D, Pattern
Recognition Lett. 29/6 (April 2008), 813-821.
·
András
Hajdu and Ioannis Pitas:
Optimal approach for fast object-template matching, IEEE Trans. on Image Processing 16/8 (August 2007), 2048-2057.
·
András Hajdu, Lajos Hajdu and Robert Tijdeman:
General neighbourhood sequences in Zn, Discrete Appl. Math.
(2007), Discrete Appl. Math. 155 (2007), 2507-2522.
·
András Hajdu and Lajos Hajdu: Approximating the Euclidean distance using
non-periodic neighbourhood sequences, Discrete Math. 283/1-3 (2004), 101-111.
·
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.