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Andrea Manno-Kovács
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2020 – today
- 2022
- [j4]Vanda Czipczer, Andrea Manno-Kovacs:
Adaptable volumetric liver segmentation model for CT images using region-based features and convolutional neural network. Neurocomputing 505: 388-401 (2022) - 2021
- [j3]Petra Takacs, Levente Kovács, Andrea Manno-Kovacs
:
A fusion of salient and convolutional features applying healthy templates for MRI brain tumor segmentation. Multim. Tools Appl. 80(15): 22533-22550 (2021)
2010 – 2019
- 2019
- [j2]Andrea Manno-Kovacs
Direction Selective Contour Detection for Salient Objects. IEEE Trans. Circuits Syst. Video Technol. 29(2): 375-389 (2019) - [c6]Vanda Czipczer, Andrea Manno-Kovacs:
Automatic liver segmentation on CT images combining region-based techniques and convolutional features. CBMI 2019: 1-6 - [i2]Andrea Manno-Kovacs, Csaba Benedek, Levente Kovács:
Content-Based Analysis of Medical Image Data for Augmented Reality Based Health Applications. ERCIM News 2019(118) (2019) - 2018
- [c5]Petra Takacs, Andrea Manno-Kovacs:
MRI Brain Tumor Segmentation Combining Saliency and Convolutional Network Features. CBMI 2018: 1-6 - [i1]Andrea Manno-Kovács, András L. Majdik, Tamás Szirányi:
Satellite and Aerial Image Processing for Smart Farming and Biodiversity Conservation. ERCIM News 2018(113) (2018) - 2017
- [c4]Andrea Manno-Kovacs, Levente Kovács:
Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion. ICCV Workshops 2017: 734-741 - 2016
- [c3]Andrea Manno-Kovacs:
Content based image retrieval using salient orientation histograms. ICIP 2016: 2480-2484 - 2015
- [j1]Andrea Manno-Kovacs, Ali Özgün Ok:
Building Detection From Monocular VHR Images by Integrated Urban Area Knowledge. IEEE Geosci. Remote. Sens. Lett. 12(10): 2140-2144 (2015) - [c2]Ali Özgün Ok, Andrea Manno-Kovacs:
Detection of buildings from high resolution satellite images using urban area knowledge. SIU 2015: 292-295 - 2014
- [c1]Andrea Manno-Kovacs:
Direction selective vector field convolution for contour detection. ICIP 2014: 4722-4726 - 2013
- [b1]Andrea Manno-Kovács:
Novel Features in Object Detection for Image Segmentation Tasks. Pázmány Péter Catholic University, Hungary, 2013
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