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2020 – today
- 2023
[c4]Nikoo Dehghani, Thom Scheeve, T. G. W. Boers, Quirine E. W. van der Zander, Ayla Thijssen
, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization. Medical Imaging: Computer-Aided Diagnosis 2023- [c3]Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
How does image quality affect computer-aided diagnosis of colorectal polyps? Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [c2]Koen C. Kusters, Thom Scheeve, Nikoo Dehghani, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Colorectal polyp classification using confidence-calibrated convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2022 - [c1]Nikoo Dehghani, Thom Scheeve, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network. CaPTion@MICCAI 2022: 108-117 - 2021
- [j1]Roger Fonolla, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Sharmila Subramaniam, Pradeep Bhandari, Ad A. M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Automatic image and text-based description for colorectal polyps using BASIC classification. Artif. Intell. Medicine 121: 102178 (2021)
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