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Publication profile

Publication profile

Qinghui (Brian) Liu

Qinghui (Brian), Liu
Name: Qinghui (Brian) Liu
Title: PhD-stipendiat / PhD Fellow
Phone: (+47) 22852564
Email: Brian [dot] Liu [at] nr [dot] no
Scientific areas: Deep learning, Computer vision, Embedded systems
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 Show publications

 

    Academic journal articles

    2017

    Liu, Qinghui; Ramos, Antonio L. L.; Netto, Sergio L.. A highly effective transfer learning framework of DCNNS applied to automatic polyp detection in colonoscopy images. Society for Design and Process Science (ISSN 1090-9389). pp 220-227. 2017.

    2016

    Liu, Qinghui; Ramos, Antonio Luiz Lopes. Advances and future perspectives on computer-aided diagnosis: the case of automatic polyp detection based on gastrointestinal imaging. Society for Design and Process Science (ISSN 1090-9389). pp 216-222. 2016.

    Academic chapters

    2018

    Liu, Qinghui; Salberg, Arnt Børre; Jenssen, Robert. A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. (ISBN 978-1-5386-7150-4). pp 6943-6946. doi: 10.1109/IGARSS.2018.8518533. 2018. Full-text 

    Academic lectures

    2019

    Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre. DDCM Network for Semantic Mapping of Remote Sensing Images. Workshop, NLDL2019: Northern Lights Deep Learning Workshop; Tromsø, 08.01.2019 - 10.01.2019.

    2016

    Ramos, Antonio Luiz Lopes; Liu, Qinghui. ADVANCES AND FUTURE PERSPECTIVES ON COMPUTER-AIDED DIAGNOSIS: THE CASE OF AUTOMATIC POLYP DETECTION BASED ON GASTROINTESTINAL IMAGING. Konferanse, THE 21TH INTERNATIONAL CONFERENCE on Emerging Trends and Technologies in Designing Healthcare Systems; Orlando, Florida, 04.12.2016 - 06.12.2016.

    Posters at scientific conferences

    2018

    Liu, Qinghui; Salberg, Arnt Børre; Jenssen, Robert. A COMPARISON OF DEEP LEARNING ARCHITECTURES FOR SEMANTIC MAPPING OF VERY HIGH RESOLUTION IMAGES. 2018 International Geoscience and Remote Sensing Symposium; Valencia, 22.07.2018 - 27.07.2018.

    Masters thesis

    2017

    Liu, Qinghui. Deep Learning Applied to Automatic Polyp Detection in Colonoscopy Images. 2017. Full-text  Abstract  Review 

Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR