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Nikoo Dehghani
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2020 – today
- 2024
- [c7]Nikoo Dehghani, Ayla Thijssen, Quirine E. W. van der Zander, Ramon-Michel Schreuder, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With:
Evaluating Confidence Calibration in Endoscopic Diagnosis Models. CVPR Workshops 2024: 5020-5025 - [c6]Willem J. Menu, Nikoo Dehghani, Peter H. N. de With, Fons van der Sommen:
Effect of Post-Training Pruning and Quantization on Endoscopic Computer-Aided Diagnosis Models. ISBI 2024: 1-5 - 2023
- [c5]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. Computer-Aided Diagnosis 2023 - [c4]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? Computer-Aided Diagnosis 2023 - 2022
- [c3]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. Computer-Aided Diagnosis 2022 - [c2]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 - 2020
- [c1]Nikoo Dehghani, Ehsanollah Kabir:
A Multi-Focus Image Fusion Method based on Fractal Dimension and Guided Filtering. ICPR 2020: 10697-10703
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