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1 | # Radiology-Report-Generation
2 | Important papers on the automatic generation of radiology reports from medical images
3 |
4 | ## 2020
5 |
9 |
10 |
11 | ## 2019
12 |
13 | - Addressing Data Bias Problems for Chest X-ray Image Report Generation - Philipp Harzig et al., 2019
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15 |
16 | - Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment - Jianbo Yuan et al., 2019
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18 |
19 | - Show, Describe, and Conclude: On Exploiting the Structure Information of Chest X-ray reports - Baoyu Jing et al., 2019
20 |
21 |
22 | - Clinically Accurate Chest X-Ray Report Generations - Guanxiong Liu et al., 2019
23 |
24 |
25 | - Reinforced Transformer for Medical Image Captioning - Yuxuan Xiong et al., 2019
26 |
27 |
28 | - Medical Image Labeling and Report Generation - Vasiliki Kougia, MSc Thesis, 2019
29 |
30 |
31 | - Caveats in Generating Medical Imaging Labels from Radiology Reports with Natural Language Processing - Tobi Olatunji et al., 2019
32 |
33 |
34 | - Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network - Changchang Yin et al., 2019
35 |
36 |
37 | - Knowledge-driven Encoder, Retrieve, Paraphrase for Medical Image Report Generation - Li et al., 2019
38 |
39 |
40 | - From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach - Sonit Singh et al., 2019
41 |
42 |
43 | - Caveats in Generating Medical Imaging Labels from Radiology Reports with Natural Language Processing - Tobi Olatunji et al., 2019
44 |
45 |
46 | - Baselines for Chest X-Ray Report Generation - William Boag et al., 2019
47 |
48 |
49 | - Automatic Generation of Pulmonary Radiology Reports with Semantic Tags - Mengdan Gu et al., 2019
50 |
51 |
52 | - An Annotation Model on End-to-End Chest Radiology Reports - Xin Huang et al., 2019
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54 |
55 |
56 | ## 2018
57 |
76 |
77 | ## 2017
78 |
83 |
84 | ## 2015
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90 |
91 |
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