关注
Nikoo Dehghani
标题
引用次数
引用次数
年份
Colorectal polyp classification using confidence-calibrated convolutional neural networks
KC Kusters, T Scheeve, N Dehghani, QEW van der Zander, ...
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 456-468, 2022
132022
Robust colorectal polyp characterization using a hybrid bayesian neural network
N Dehghani, T Scheeve, QEW van der Zander, A Thijssen, RM Schreuder, ...
MICCAI Workshop on Cancer Prevention through Early Detection, 108-117, 2022
42022
Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction
QEW van der Zander, R Roumans, CHJ Kusters, N Dehghani, ...
Gastrointestinal Endoscopy 100 (6), 1070-1078. e10, 2024
32024
Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems
QEW van der Zander, RM Schreuder, A Thijssen, CHJ Kusters, ...
Artificial Intelligence in Gastrointestinal Endoscopy 5 (1), 2024
12024
Real-time classification of colorectal polyps using artificial intelligence–a prospective pilot study comparing two computer-aided diagnosis systems and one expert endoscopist
QE van der Zander, RM Schreuder, A Thijssen, KC Kusters, N Dehghani, ...
Gastrointestinal Endoscopy 95 (6), AB250-AB251, 2022
12022
A Multi-Focus Image Fusion Method based on Fractal Dimension and Guided Filtering
N Dehghani, E Kabir
2020 25th International Conference on Pattern Recognition (ICPR), 10697-10703, 2021
12021
Improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence: current evidence and future directions
A Thijssen, RM Schreuder, N Dehghani, M Schor, F van der Sommen, ...
Endoscopy international open, 2024
2024
Effect of Post-Training Pruning and Quantization on Endoscopic Computer-Aided Diagnosis Models
WJ Menu, N Dehghani, PHN de With, F van der Sommen
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024
2024
Current evidence and future directions on improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence–a scoping review
A Thijssen, RM Schreuder, N Dehghani, M Schor, F Van Der Sommen, ...
Endoscopy 56 (S 02), eP088, 2024
2024
Evaluating Confidence Calibration in Endoscopic Diagnosis Models
N Dehghani, A Thijssen, QEW Van Der Zander, RM Schreuder, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization
N Dehghani, T Scheeve, TGW Boers, QEW van der Zander, A Thijssen, ...
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 327-332, 2023
2023
How does image quality affect computer-aided diagnosis of colorectal polyps?
T Scheeve, N Dehghani, QEW van der Zander, A Thijssen, RM Schreuder, ...
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 156-163, 2023
2023
The effect of image quality on the performance of computer-aided diagnosis systems for colorectal polyps
QE van der Zander, T Scheeve, A Thijssen, N Dehghani, RM Schreuder, ...
Endoscopy 55 (S 02), OP270, 2023
2023
Confidence Calibration using a Bayesian Variational Inference-based approach for Colorectal Polyp Classification
N Dehghani, T Scheeve, QEW van der Zander, A Thijssen, RM Schreuder, ...
26th UK Conference on Medical Image Understanding and Analysis: WiMIUA workshop, 2022
2022
REAL-TIME CHARACTERIZATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE–A PROSPECTIVE PILOT STUDY COMPARING TWO COMPUTER-AIDED DIAGNOSIS SYSTEMS AND ONE EXPERT ENDOSCOPIST
QE van der Zander, RM Schreuder, A Thijssen, KC Kusters, N Dehghani, ...
Endoscopy 54 (S 01), eP206, 2022
2022
Trust in artificial intelligence: do confidence scores increase the appropriate trust of a medical doctor in computer-aided diagnosis systems?
R Roumans, QEW van der Zander, T Scheeve, K Kusters, N Dehghani, ...
Digestive Disease Days, 2022
2022
系统目前无法执行此操作,请稍后再试。
文章 1–16