Jacques J. G. H. M. Bergman - researchr alias

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Viewing Publication 1 - 7 from 7

2022

Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD taskFidan Mammadli, Fons van der Sommen, Tim Boers, Joost van der Putten, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jacques J. G. H. M. Bergman, Peter H. N. de With. micad 2022: [doi]

2021

Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's EsophagusS. Cornelissen, J. A. van der Putten, T. G. W. Boers, Jelmer B. Jukema, Kiki N. Fockens, Jacques J. G. H. M. Bergman, Fons van der Sommen, Peter H. N. de With. icip 2021: 66-70 [doi]

Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networksSanne E. Okel, Fons van der Sommen, Endi Selmanaj, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With. micad 2021: [doi]

Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approachEndi Selmanaj, Fons van der Sommen, Sanne E. Okel, Joost van der Putten, Maarten R. Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. N. de With. miip 2021: [doi]

2020

Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopyJoost van der Putten, Maarten R. Struyvenberg, Jeroen de Groof, Thom Scheeve, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With, Fons van der Sommen. cmig, 80:101701, 2020. [doi]

2019

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