Ghent University Academic Bibliography

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Data-efficient sensor upgrade path using knowledge distillation

Pieter Van Molle (UGent) , Cedric De Boom, Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Jonas De Vylder (UGent) , Bart Diricx, Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2021) SENSORS. 21(19).
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Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks

Pieter Van Molle (UGent) , Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Jonas De Vylder (UGent) , Bart Diricx, Tom Kimpe, Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2021) NEURAL COMPUTING & APPLICATIONS. 33(16). p.10259-10275
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Quantifying uncertainty of deep neural networks in skin lesion classification

Pieter Van Molle (UGent) , Tim Verbelen (UGent) , Cedric De Boom, Bert Vankeirsbilck (UGent) , Jonas De Vylder (UGent) , Bart Diricx, Tom Kimpe (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2019) UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING AND CLINICAL IMAGE-BASED PROCEDURES. In Lecture Notes in Computer Science 11840. p.52-61
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Assessing uncertainty for computer assisted skin lesion diagnosis

Pieter Van Molle (UGent) , Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Sofie Mylle, Evelien Verhaeghe (UGent) , Lieve Brochez (UGent) , Jonas De Vylder (UGent) , Bart Diricx, Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2019) EADV, 28th Congress, Abstracts.
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A study on confidence in classification of skin lesions by deep neural networks

Pieter Van Molle (UGent) , Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Sofie Mylle (UGent) , Evelien Verhaeghe (UGent) , Lieve Brochez (UGent) , Jonas De Vylder, Bart Diricx, Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2019) OncoPoint, 7th Research seminar, Abstracts.
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A study on confidence in classification of skin lesions by deep neural networks

Pieter Van Molle (UGent) , Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Sofie Mylle (UGent) , Evelien Verhaeghe (UGent) , Lieve Brochez (UGent) , Jonas De Vylder, Bart Diricx, Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2019) European Association of Dermato-Oncology, 15th Congress, Abstracts.
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Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy

Joris Roels (UGent) , Jonas De Vylder (UGent) , Jan Aelterman (UGent) , Yvan Saeys (UGent) and Wilfried Philips (UGent)

(2017) 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017). p.633-637
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Accurate detection of dysmorphic nuclei using dynamic programming and supervised classification

Marlies Verschuuren, Jonas De Vylder (UGent) , Hannes Catrysse, Joke Robijns, Wilfried Philips (UGent) and Winnok De Vos (UGent)

(2017) PLOS ONE. 12(1).
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Quasar: A Programming Framework for Rapid Prototyping

Jonas De Vylder (UGent) and Bart Goossens (UGent)

(2016)
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Quasar: rapid prototyping for image/video processing on heterogeneous hardware.

Dirk Van Haerenborgh (UGent) , Jonas De Vylder (UGent) and Bart Goossens (UGent)

(2016)

Academic Bibliography

Data-efficient sensor upgrade path using knowledge distillation

Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks

Quantifying uncertainty of deep neural networks in skin lesion classification

Assessing uncertainty for computer assisted skin lesion diagnosis

A study on confidence in classification of skin lesions by deep neural networks

A study on confidence in classification of skin lesions by deep neural networks

Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy

Accurate detection of dysmorphic nuclei using dynamic programming and supervised classification

Quasar: A Programming Framework for Rapid Prototyping

Quasar: rapid prototyping for image/video processing on heterogeneous hardware.

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