Mr. Joost A. van der Putten Profile

Joost A. van der Putten

promovendus at Technische Univ Eindhoven

SPIE Involvement:

Author

Publications (9)

Proceedings Article | 4 April 2022 Presentation + Paper

Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task

Fidan Mammadli, Fons van der Sommen, Tim Boers, Joost van der Putten, Kiki Fockens, Jelmer Jukema, Martijn de Jong, Jacques J.G.H.M. Bergman, Peter H. de With

Proceedings Volume 12033, 120331C (2022) https://doi.org/10.1117/12.2611133

KEYWORDS: Convolutional neural networks, Computer aided diagnosis and therapy, Computer vision technology, Artificial intelligence, Artificial neural networks, Endoscopy, CAD systems, Image quality, Algorithm development, Network architectures, Video, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Tissue-border detection in volumetric laser endomicroscopy using bi-directional gated recurrent neural networks

Sanne Okel, Fons van der Sommen, Endi Selmanaj, Joost van der Putten, Maarten Struyvenberg, Jacques J.G.H.M. Bergman, Peter H. de With

Proceedings Volume 11597, 115972H (2021) https://doi.org/10.1117/12.2579751

KEYWORDS: Image segmentation, Tissues, Neural networks, Endomicroscopy, Laser tissue interaction, Solid modeling, Computer aided diagnosis and therapy, Esophagus, Convolutional neural networks, Computer aided design

Read Abstract +

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Fast tissue detection in volumetric laser endomicroscopy using convolutional neural networks: an object-detection approach

Endi Selmanaj, Fons van der Sommen, Sanne Okel, Joost van der Putten, Maarten Struyvenberg, Jacques J. G. H. M. Bergman, Peter H. de With

Proceedings Volume 11596, 1159635 (2021) https://doi.org/10.1117/12.2579573

KEYWORDS: Tissues, Laser tissue interaction, Endomicroscopy, Convolutional neural networks, Esophagus, Cancer, New and emerging technologies, Network architectures, Laser applications, Computer-aided diagnosis

Read Abstract +

Proceedings Article | 16 March 2020 Paper

The field effect in Barrett's Esophagus: a macroscopic view using white light endoscopy and deep learning

Levi Verhage, Joost van der Putten, Fons van der Sommen, Jeroen de Groof, Maarten Struyvenberg, Peter H. de With

Proceedings Volume 11314, 1131437 (2020) https://doi.org/10.1117/12.2549391

KEYWORDS: Data modeling, Esophagus, Algorithm development, Tissues, Performance modeling, Endoscopy, Evolutionary algorithms, Computer aided diagnosis and therapy, Image segmentation, Image classification

Read Abstract +

Proceedings Article | 16 March 2020 Paper

First steps into endoscopic video analysis for Barrett’s cancer detection: challenges and opportunities

Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H. de With

Proceedings Volume 11314, 1131431 (2020) https://doi.org/10.1117/12.2544229

KEYWORDS: Video, Video surveillance, Endoscopy, Cancer, Esophagus, Computer aided design, Image classification

Read Abstract +

Proceedings Article | 10 March 2020 Presentation + Paper

Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks

T. G. W. Boers, J. van der Putten, J. de Groof, M. Struyvenberg, K. Fockens, W. Curvers, E. Schoon, F. van der Sommen, J. Bergman, P.H. de With

Proceedings Volume 11313, 1131315 (2020) https://doi.org/10.1117/12.2545734

KEYWORDS: Endoscopy, Image quality, Video, Neural networks, Artificial intelligence, Esophagus, Visualization, Image classification, Evolutionary algorithms, Binary data

Read Abstract +

Proceedings Article | 10 March 2020 Presentation + Paper

Influence of decoder size for binary segmentation tasks in medical imaging

Joost van der Putten, Fons van der Sommen, Peter H. de With

Proceedings Volume 11313, 1131318 (2020) https://doi.org/10.1117/12.2542199

KEYWORDS: Image segmentation, Binary data, Medical imaging, Skin, Computer programming, Data modeling, RGB color model, Network architectures, Statistical modeling, Convolution

Read Abstract +

Proceedings Article | 15 March 2019 Paper

Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function

Joost van der Putten, Fons van der Sommen, Maarten Struyvenberg, Jeroen de Groof, Wouter Curvers, Erik Schoon, Jacques J.G.H.M. Bergman, Peter H. de With

Proceedings Volume 10949, 109492J (2019) https://doi.org/10.1117/12.2512192

KEYWORDS: Image segmentation, Optical coherence tomography, Computer aided diagnosis and therapy, Esophagus, Endomicroscopy, Endoscopy

Read Abstract +