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Dimitar Petrov
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2020 – today
- 2022
- [c8]Stien Van Steen, Dimitar Petrov, Rik Godon, Stijn Bonte, Hilde Bosmans
:
Image quality assessment of chest CT scans used in functional respiratory imaging. Medical Imaging: Image Processing 2022 - 2020
- [c7]Dimitar Petrov, Nicholas Marshall
, Liesbeth Vancoillie, Lesley Cockmartin, Hilde Bosmans
:
Deep learning channelized Hotelling observer for multi-vendor DBT system image quality evaluation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160X - [c6]Dimitar Petrov, Nicholas Marshall
, Liesbeth Vancoillie, Lesley Cockmartin, Hilde Bosmans
:
Anthropomorphic ResNet18 for multi-vendor DBT image quality evaluation. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 1131616
2010 – 2019
- 2018
- [c5]Alex Van den Bossche, Salim Haddad
, Dimitar Petrov, Vencislav C. Valchev:
Mosfets used in ideal diode circuits for Lundell alternator rectifiers. EVER 2018: 1-5 - [c4]Liesbeth Vancoillie, Lesley Cockmartin, Kristina Tri Wigati, Dimitar Petrov, Guozhi Zhang, Nicholas Marshall
, Hilde Bosmans
:
Performance evaluation of a 3D structured phantom with simulated lesions on breast imaging systems. IWBI 2018: 107180Y - [c3]Dimitar Petrov, Nicholas Marshall
, Lesley Cockmartin, Hilde Bosmans
:
First results with a deep learning (feed-forward CNN) approach for daily quality control in digital breast tomosynthesis. IWBI 2018: 1071819 - [c2]Dimitar Petrov, Nicholas Marshall
, Kenneth C. Young, Hilde Bosmans
:
Model and human observer reproducibility for detecting microcalcifications in digital breast tomosynthesis images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770B - 2016
- [c1]Dimitar Petrov, Koen Michielsen
, Lesley Cockmartin, Gouzhi Zhang, Kenneth C. Young, Nicholas Marshall
, Hilde Bosmans
:
Development and application of a channelized Hotelling observer for DBT optimization on structured background test images with mass simulating targets. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97871K
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