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| 1 | MIMO instantaneous blind identification based on second-order temporal structure 显示文摘 | Laar J Moonen M and Sommen P C W | 2008 | IEEE Transactions on Signal Processing2008，56，9： | 1 |
| 2 | An analysis of real-Fourier domain-based adaptive algorithms implemented with the Hartley transform using cosine-sine symmetries显示文摘 | Vasanthan Raghavan Prabhu K M M Sommen Piet C W | 2005 | IEEE Transactions on signal processing2005，53，2： | 1 |
| 3 | A sensitive and specific diagnostic test for hearing loss using a micro- droplet PCR-hased approach and next Generation sequen- cing显示文摘 | Schrauwen I Sommen M Corneveaux J J | 2013 | Am J Med Genet A2013，161，1： | 1 |
| 4 | Polypyrrole Materials for Detection and Discrimination of Wolatile Organic Compounds显示文摘 | Hamihon S Hepher M J Sommen'ille J | 2005 | Sensors and Actuators B2005，107，： | 1 |
| 5 | Characterization of the microporosity of chromia and titania-pillared montmorillonites differing in the pillar density显示文摘 | SYCHEV M SHUBINA T ROZWADOWSKI M SOMMEN A P B DE BEER V H J VAN SANTEN R A | 2000 | Microporous Mesoporous Materials2000，37，12： | 1 |
| 6 | Chemical structure and properties of coal,XII sorption capacity of methane显示文摘 | Van der Sommen J Zwietering P Eillebrecht B J M | 1955 | Fuel1955，34，： | 1 |
| 7 | Artificial intelligence for characterization of diminutive colorectal polyps:A feasibility study comparing two computer-aided diagnosis systems显示文摘BACKGROUND Artificial intelligence(AI)has potential in the optical diagnosis of colorectal polyps.AIM To evaluate the feasibility of the real-time use of the computer-aided diagnosis system(CADx)AI for ColoRectal Polyps(AI4CRP)for the optical diagnosis of diminutive colorectal polyps and to compare the performance with CAD EYE^(TM)(Fujifilm,Tokyo,Japan).CADx influence on the optical diagnosis of an expert endoscopist was also investigated.METHODS AI4CRP was developed in-house and CAD EYE was proprietary software provided by Fujifilm.Both CADxsystems exploit convolutional neural networks.Colorectal polyps were characterized as benign or premalignant and histopathology was used as gold standard.AI4CRP provided an objective assessment of its characterization by presenting a calibrated confidence characterization value(range 0.0-1.0).A predefined cut-off value of 0.6 was set with values<0.6 indicating benign and values≥0.6 indicating premalignant colorectal polyps.Low confidence characterizations were defined as values 40%around the cut-off value of 0.6(<0.36 and>0.76).Self-critical AI4CRP’s diagnostic performances excluded low confidence characterizations.RESULTS AI4CRP use was feasible and performed on 30 patients with 51 colorectal polyps.Self-critical AI4CRP,excluding 14 low confidence characterizations[27.5%(14/51)],had a diagnostic accuracy of 89.2%,sensitivity of 89.7%,and specificity of 87.5%,which was higher compared to AI4CRP.CAD EYE had a 83.7%diagnostic accuracy,74.2%sensitivity,and 100.0%specificity.Diagnostic performances of the endoscopist alone(before AI)increased nonsignificantly after reviewing the CADx characterizations of both AI4CRP and CAD EYE(AI-assisted endoscopist).Diagnostic performances of the AI-assisted endoscopist were higher compared to both CADx-systems,except for specificity for which CAD EYE performed best.CONCLUSION Real-time use of AI4CRP was feasible.Objective confidence values provided by a CADx is novel and self-critical AI4CRP showed higher diagnostic performances compared to AI4CRP. | Quirine Eunice Wennie van der Zander Ramon M Schreuder Ayla Thijssen Carolus H J Kusters Nikoo Dehghani Thom Scheeve Bjorn Winkens Mirjam C M van der Ende-van Loon Peter H N de With Fons van der Sommen Ad A M Masclee Erik J Schoon | 2024 | Artificial Intelligence in Gastrointestinal Endoscopy2024，5，1： | 0 |
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