119 results on '"Boers, Tim"'
Search Results
2. An anthropomorphic thyroid phantom for ultrasound-guided radiofrequency ablation of nodules
3. 3D ultrasound guidance for radiofrequency ablation in an anthropomorphic thyroid nodule phantom
4. The use of a real-time computer-aided detection system for visible lesions in the Barrett’s esophagus during live endoscopic procedures: a pilot study (with video)
5. CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis
6. Investigating the Impact of Image Quality on Endoscopic AI Model Performance
7. Computer-aided diagnosis improves characterization of Barrett’s neoplasia by general endoscopists (with video)
8. Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization
9. Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency
10. Deep learning-based segmentation of 3D ultrasound images of the thyroid
11. Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies
12. Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review
13. Investigating the Impact of Image Quality on Endoscopic AI Model Performance
14. CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis
15. Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett’s Neoplasia Detection
16. A CAD System for Real-Time Characterization of Neoplasia in Barrett’s Esophagus NBI Videos
17. COMPUTER-AIDED DIAGNOSIS IMPROVES CHARACTERIZATION OF BARRETT’S NEOPLASIA BY GENERAL ENDOSCOPISTS
18. The use of a real-time computer-aided detection system for visible lesions in the Barrett’s esophagus during live endoscopic procedures, a pilot study
19. A CAD System for Real-Time Characterization of Neoplasia in Barrett’s Esophagus NBI Videos
20. Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett’s Neoplasia Detection
21. Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study
22. Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)
23. An anthropomorphic thyroid phantom for ultrasound‐guided radiofrequency ablation of nodules
24. A deep learning system for detection of early Barrett's neoplasia: a model development and validation study
25. An anthropomorphic thyroid phantom for ultrasound‐guided radiofrequency ablation of nodules.
26. COMPUTER-AIDED DIAGNOSIS (CADX) IMPROVES CHARACTERIZATION OF BARRETT’S NEOPLASIA BY ENDOSCOPISTS
27. VIDEO-BASED COMPUTER AIDED DETECTION SYSTEM IMPROVES BARRETT’S NEOPLASIA DETECTION OF GENERAL ENDOSCOPISTS IN A MULTI-STEP BENCHMARKING STUDY
28. Towards a robust and compact deep learning system for primary detection of early Barrett’s neoplasia: Initial image‐based results of training on a multi‐center retrospectively collected data set
29. Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization
30. Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network
31. Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration
32. Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head
33. Barrett's lesion detection using a minimal integer-based neural network for embedded systems integration
34. Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head
35. Towards a robust and compact deep learning system for primary detection of early Barrett’s neoplasia: Initial image-based results of training on a multi-center retrospectively collected data set
36. A deep learning system for detection of early Barrett's neoplasia: a model development and validation study
37. Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network
38. Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head.
39. Ultrasound imaging in thyroid nodule diagnosis, therapy, and follow‐up: Current status and future trends
40. Prediction of treatment success after radiofrequency ablation of benign thyroid nodules
41. An anthropomorphic thyroid nodule phantom for testing novel needle-based interventions
42. Stationary Computed Tomography for Space and other Resource-constrained Environments
43. A ROBUST AND COMPACT DEEP LEARNING SYSTEM FOR PRIMARY DETECTION OF EARLY BARRETT’S NEOPLASIA OUTPERFORMS GENERAL ENDOSCOPISTS
44. Tu2011 IMAGE QUALITY CHALLENGES IN AI: IMPROVING ROBUSTNESS OF A COMPUTER AIDED DETECTION SYSTEM FOR BARRETT'S NEOPLASIA.
45. Efficient endoscopic frame informativeness assessment by reusing the encoder of the primary CAD task
46. Real-time Barrett's neoplasia characterization in NBI videos using an int8-based quantized neural network
47. VIDEO-BASED COMPUTER AIDED DETECTION SYSTEM DETECTS BARRETT’S NEOPLASIA WITH HIGH ACCURACY DURING LIVE ENDOSCOPIC PROCEDURES: A MULTI-CENTER PILOT AND FEASIBILITY STUDY
48. 1016 DOMAIN-SPECIFIC PRETRAINING OF DEEP LEARNING SYSTEMS IN GASTROINTESTINAL ENDOSCOPY IMPROVES PERFORMANCE OVER CURRENT STATE-OF-THE-ART PRETRAINING METHODS
49. Liraglutide decreases energy expenditure and does not affect the fat fraction of supraclavicular brown adipose tissue in patients with type 2 diabetes
50. EVALUATING GRAPHICAL USER INTERFACES FOR COMPUTER-AIDED DETECTION OF BARRETT'S NEOPLASIA.
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