Novel Features in Object Detection for Image Segmentation Tasks - Andrea Manno-Kovács (2013)

Direction selective vector field convolution for contour detection. - Andrea Manno-Kovacs (ICIP, 2014)

Detection of buildings from high resolution satellite images using urban area knowledge. - Ali Özgün Ok; Andrea Manno-Kovacs (SIU, 2015)

Building Detection From Monocular VHR Images by Integrated Urban Area Knowledge. - Andrea Manno-Kovacs; Ali Özgün Ok (IEEE Geosci. Remote. Sens. Lett., 2015)

Content based image retrieval using salient orientation histograms. - Andrea Manno-Kovacs (ICIP, 2016)

Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion. - Andrea Manno-Kovacs; Levente Kovács (ICCV Workshops, 2017)

MRI Brain Tumor Segmentation Combining Saliency and Convolutional Network Features. - Petra Takacs; Andrea Manno-Kovacs (CBMI, 2018)

Satellite and Aerial Image Processing for Smart Farming and Biodiversity Conservation. - Andrea Manno-Kovács; András L. Majdik; Tamás Szirányi (ERCIM News, 2018)

Automatic liver segmentation on CT images combining region-based techniques and convolutional features. - Vanda Czipczer; Andrea Manno-Kovacs (CBMI, 2019)

Content-Based Analysis of Medical Image Data for Augmented Reality Based Health Applications. - Andrea Manno-Kovacs; Csaba Benedek; Levente Kovács (ERCIM News, 2019)

Direction Selective Contour Detection for Salient Objects. - Andrea Manno-Kovacs (IEEE Trans. Circuits Syst. Video Technol., 2019)

A fusion of salient and convolutional features applying healthy templates for MRI brain tumor segmentation. - Petra Takacs; Levente Kovács; Andrea Manno-Kovacs (Multim. Tools Appl., 2021)

Adaptable volumetric liver segmentation model for CT images using region-based features and convolutional neural network. - Vanda Czipczer; Andrea Manno-Kovacs (Neurocomputing, 2022)