Ghent University Academic Bibliography

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CRISPR-Cas-Docker : web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins

Homin Park (UGent) , Jong Bum Won, Yunseol Park (UGent) , Esla Timothy Anzaku (UGent) , Joris Vankerschaver (UGent) , Arnout Van Messem (UGent) , Wesley De Neve (UGent) and Hyunjin Shim

(2023) BMC BIOINFORMATICS. 24(1).
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Tryp : a dataset of microscopy images of unstained thick blood smears for trypanosome detection

Esla Timothy Anzaku, Mohammed Aliy Mohammed (UGent) , Utku Özbulak, Jongbum Won, Hyesoo Hong, Janarthanan Krishnamoorthy, Sofie Van Hoecke (UGent) , Stefan Magez (UGent) , Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2023) SCIENTIFIC DATA. 10(1).
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Know your self-supervised learning : a survey on image-based generative and discriminative training

Utku Özbulak, Hyun Jung Lee (UGent) , Beril Boga, Esla Timothy Anzaku, Homin Park (UGent) , Arnout Van Messem (UGent) , Wesley De Neve (UGent) and Joris Vankerschaver (UGent)

(2023) TRANSACTIONS ON MACHINE LEARNING RESEARCH.
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Rethinking protein drug design with highly accurate structure prediction of anti-CRISPR proteins

Homin Park (UGent) , Yunseol Park, Joris Vankerschaver (UGent) , Arnout Van Messem (UGent) , Wesley De Neve (UGent) and Hyunjin Shim

(2022) PHARMACEUTICALS. 15(3).
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MP-Net : deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams

Homin Park (UGent) , Sanghyeon Park, Maria Krishna de Guzman (UGent) , Ji Yeon Baek, Tanja Cirkovic Velickovic (UGent) , Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2022) PLOS ONE. 17(6).
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In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobials

Homin Park (UGent) , Yunseol Park, Urta Berani, Eunkyu Bang (UGent) , Joris Vankerschaver (UGent) , Arnout Van Messem (UGent) , Wesley De Neve (UGent) and Hyunjin Shim

(2022) BIOLOGY DIRECT. 17(1).
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Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis

Hanul Kang, Homin Park (UGent) , Yuju Ahn, Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2021) MEDICAL IMAGING 2021 : IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT. In Proceedings of SPIE 11599.
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Developing a segmentation model for microscopic images of microplastics isolated from clams

Ji Yeon Baek, Maria Krishna de Guzman (UGent) , Homin Park (UGent) , Sanghyeon Park, Boyeon Shin, Tanja Cirkovic Velickovic (UGent) , Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2021) Pattern recognition, ICPR international workshops and challenges, Proceedings, Part VI. In Lecture Notes in Computer Science 12666. p.86-97
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Automatic detection of Trypanosomosis in thick blood smears using image pre-processing and deep learning

Taewoo Jung, Esla Timothy Anzaku (UGent) , Utku Özbulak, Stefan Magez (UGent) , Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2021) Intelligent Human Computer Interaction 12th International Conference, IHCI 2020. In Lecture Notes in Computer Science 12616. p.254-266
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Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems

Utku Özbulak, Baptist Vandersmissen, Azarakhsh Jalalvand (UGent) , Ivo Couckuyt (UGent) , Arnout Van Messem (UGent) and Wesley De Neve (UGent)

(2021) COMPUTER VISION AND IMAGE UNDERSTANDING. 202.

Academic Bibliography

CRISPR-Cas-Docker : web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins

Tryp : a dataset of microscopy images of unstained thick blood smears for trypanosome detection

Know your self-supervised learning : a survey on image-based generative and discriminative training

Rethinking protein drug design with highly accurate structure prediction of anti-CRISPR proteins

MP-Net : deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams

In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobials

Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis

Developing a segmentation model for microscopic images of microplastics isolated from clams

Automatic detection of Trypanosomosis in thick blood smears using image pre-processing and deep learning

Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems

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