43 results on '"Matthew S. Brown"'
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2. The Forgotten Margins of AI Ethics.
3. Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy.
4. Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.
5. 3D patch-based CNN for fissure segmentation on CT images to quantitatively assess fissure integrity and evaluate emphysema patients for endobronchial valve treatment.
6. Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing.
7. Examining the Effects of Race on Human-AI Cooperation.
8. AI-human interactive pipeline with feedback to accelerate medical image annotation.
9. High Throughput Lung and Lobar Segmentation by 2D and 3D CNN on Chest CT with Diffuse Lung Disease.
10. Bone Tumor Segmentation on Bone Scans Using Context Information and Random Forests.
11. Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort.
12. Interactively learning a patient specific K-nearest neighbor classifier based on confidence weighted samples.
13. Computer-aided lung nodule diagnosis using a simple classifier.
14. Laser pointer interaction for camera-registered multiprojector displays.
15. The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans.
16. An extensible knowledge-based architecture for segmenting computed tomography images.
17. A machine learning approach for classification of anatomical coverage in CT.
18. Effects of CT dose and nodule characteristics on lung-nodule detectability in a cohort of 90 national lung screening trial patients.
19. A probabilistic model for predicting diameters of lung airways.
20. Patient-specific models for lung nodule detection and surveillance in CT images.
21. Knowledge-based segmentation of pediatric kidneys in CT for measuring parenchymal volume.
22. Extensible knowledge-based architecture for segmenting CT data.
23. Automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces.
24. Preliminary results of automated removal of degenerative joint disease in bone scan lesion segmentation.
25. Improving semi-automated segmentation by integrating learning with active sampling.
26. An improved automatic computer aided tube detection and labeling system on chest radiographs.
27. Automated segmentation of tumors on bone scans using anatomy-specific thresholding.
28. Confidence-based ensemble for GBM brain tumor segmentation.
29. Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists.
30. Sampling-based ensemble segmentation against inter-operator variability.
31. Classification of pulmonary emphysema from chest CT scans using integral geometry descriptors.
32. Scan-rescan reproducibility of CT densitometric measures of emphysema.
33. Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map.
34. The effect of CT technical factors on quantification of lung fissure integrity.
35. Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies.
36. Computer aided detection of endobronchial valves.
37. Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost.
38. The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
39. Differentiating solitary pulmonary nodules (SPNs) with 3D shape features.
40. Forming a reference standard from LIDC data: impact of reader agreement on reported CAD performance.
41. Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features.
42. The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules.
43. Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings
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