292 results on '"Summers, Ronald"'
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2. Weakly supervised detection of pheochromocytomas and paragangliomas in CT
3. Utilizing domain knowledge to improve intravenous contrast phase classification of CT scans
4. Unsupervised multi-parametric MRI registration using neural optimal transport
5. The pancreas is all you need: fusion models for opportunistic screening of diabetes using pancreatic CT volumes
6. Self and mixed supervision to improve training labels for multi-class medical image segmentation
7. Automated classification of body MRI sequence type using convolutional neural networks
8. Weakly-supervised detection of bone lesions in CT
9. Weakly supervised learning for subcutaneous edema segmentation of abdominal CT using pseudo-labels and multi-stage nnU-Nets
10. Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
11. Automated classification of intravenous contrast enhancement phase of CT scans using residual networks
12. 3D universal lesion detection and tagging in CT with self-training
13. Improved ascites segmentation with bladder identification using anatomical location residual U-Net
14. Universal lymph node detection in multiparametric MRI with selective augmentation
15. Correcting class imbalances with self-training for improved universal lesion detection and tagging
16. Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor
17. Radiology data warehouses: data preparation and dissemination (Conference Presentation)
18. Body location embedded 3D U-Net (BLE-U-Net) for ovarian cancer ascites segmentation on CT scans
19. Development of multiscale 3D residual U-Net to segment edematous adipose tissue by leveraging annotations from non-edematous adipose tissue
20. Universal lesion detection in CT scans using neural network ensembles
21. Lymph node detection in T2 MRI with transformers
22. A graph-theoretic algorithm for small bowel path tracking in CT scans
23. Graph-Based Small Bowel Path Tracking with Cylindrical Constraints
24. Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature
25. Weakly Supervised Lesion Co-Segmentation on Ct Scans
26. Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble
27. Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation
28. Bone suppression on chest radiographs with adversarial learning
29. Accurately identifying vertebral levels in large datasets
30. Weakly-supervised lesion segmentation on CT scans using co-segmentation
31. Automatic recognition of abdominal lymph nodes from clinical text
32. A self-attention based deep learning method for lesion attribute detection from CT reports
33. Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology
34. Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports
35. Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier
36. Segmenting The Kidney On CT Scans Via Crowdsourcing
37. A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection
38. Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining
39. Deep adversarial one-class learning for normal and abnormal chest radiograph classification
40. A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans
41. Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
42. TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays
43. Unsupervised body part regression via spatially self-ordering convolutional neural networks
44. Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans
45. Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans
46. Self-learning to detect and segment cysts in lung CT images without manual annotation
47. Tracking diaphragm and chest wall movement on cine-MRI
48. A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans
49. Deep Adversarial One-Class Learning for Normal and Abnormal Chest Radiograph Classification.
50. CT-Realistic Data Augmentation Using Generative Adversarial Network for Robust Lymph Node Segmentation.
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