Fetching the paper…
Reading the bibliography…
Automatic radiology report generation is critical in clinics which can relieve experienced radiologists from the heavy workload and remind inexperienced radiologists of misdiagnosis or missed diagnose.
Mimic-cxr-jpg, a large publicly available database of labeled chest radiographs
Johnson, A.E., Pollard, T.J., Greenbaum, N.R., Lungren, M.P., Deng, C.y., Peng, Y., Lu, Z., Mark, R.G., Berkowitz, S.J., Horng, S., 2019 · 1901
Earlier work this paper cites.
Rotate: Knowledge graph embedding by relational rotation in complex space
Sun, Z., Deng, Z.H., Nie, J.Y., Tang, J., 2019 · 1902
Earlier work this paper cites.
Publicly available clinical bert embeddings
Alsentzer, E., Murphy, J.R., Boag, W., Weng, W.H., Jin, D., Naumann, T., McDermott, M., 2019 · 1904
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation, in: Proceedings of the 40th annual meeting of the Association for Computational Linguistics, pp. 311–318
Papineni, K., Roukos, S., Ward, T., Zhu, W.J., 2002 · 2002
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries, in: Text summarization branches out, pp. 74–81
Lin, C.Y., 2004 · 2004
Earlier work this paper cites.
Open graph benchmark: Datasets for machine learning on graphs
Hu, W., Fey, M., Zitnik, M., Dong, Y., Ren, H., Liu, B., Catasta, M., Leskovec, J., 2020 · 2005
Earlier work this paper cites.
Translating embeddings for modeling multi-relational data
Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O., 2013 · 2013
Earlier work this paper cites.
Meteor universal: Language specific translation evaluation for any target language, in: Proceedings of the ninth workshop on statistical machine translation, pp. 376–380
Denkowski, M., Lavie, A., 2014 · 2014
Earlier work this paper cites.
Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error reduction
Bruno, M.A., Walker, E.A., Abujudeh, H.H., 2015 · 2015
Earlier work this paper cites.
Learning entity and relation embeddings for knowledge graph completion, in: Twenty-ninth AAAI conference on artificial intelligence
Lin, Y., Liu, Z., Sun, M., Liu, Y., Zhu, X., 2015 · 2015
Earlier work this paper cites.
Cider: Consensus-based image description evaluation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4566–4575
Vedantam, R., Lawrence Zitnick, C., Parikh, D., 2015 · 2015
Earlier work this paper cites.
Show and tell: A neural image caption generator, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3156–3164
Vinyals, O., Toshev, A., Bengio, S., Erhan, D., 2015 · 2015
Earlier work this paper cites.
Preparing a collection of radiology examinations for distribution and retrieval
Demner-Fushman, D., Kohli, M.D., Rosenman, M.B., Shooshan, S.E., Rodriguez, L., Antani, S., Thoma, G.R., McDonald, C.J., 2016 · 2016
Earlier work this paper cites.
Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770–778
He, K., Zhang, X., Ren, S., Sun, J., 2016 · 2016
Earlier work this paper cites.
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Shin, H.C., Roberts, K., Lu, L., Demner-Fushman, D., Yao, J., Summers, R.M., 2016 · 2016
Earlier work this paper cites.
Neural message passing for quantum chemistry, in: International conference on machine learning, PMLR. pp. 1263–1272
Gilmer, J., Schoenholz, S.S., Riley, P.F., Vinyals, O., Dahl, G.E., 2017 · 2017
Cited alongside, same era.
Knowing when to look: Adaptive attention via a visual sentinel for image captioning, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 375–383
Lu, J., Xiong, C., Parikh, D., Socher, R., 2017 · 2017
Cited alongside, same era.
Attention is all you need, in: Advances in neural information processing systems, pp. 5998–6008
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I., 2017 · 2017
Cited alongside, same era.
Bottom-up and top-down attention for image captioning and visual question answering, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 6077–6086
Anderson, P., He, X., Buehler, C., Teney, D., Johnson, M., Gould, S., Zhang, L., 2018 · 2018
Cited alongside, same era.
Generating radiology reports via memory-driven transformer, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1439–1449
Chen, Z., Song, Y., Chang, T.H., Wan, X., 2020 · 2020
Later among the works it cites.
Progressive Transformer-Based Generation of Radiology Reports
Nooralahzadeh, F., Gonzalez, N.P., Frauenfelder, T., Fujimoto, K., Krauthammer, M., 2021 · 2020
Later among the works it cites.
Stanza: A Python natural language processing toolkit for many human languages, in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Qi, P., Zhang, Y., Zhang, Y., Bolton, J., Manning, C.D., 2020 · 2020
Later among the works it cites.
When radiology report generation meets knowledge graph, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 12910–12917
Zhang, Y., Wang, X., Xu, Z., Yu, Q., Yuille, A., Xu, D., 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
On the automatic generation of medical imaging reports, in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2577–2586
Jing, B., Xie, P., Xing, E., 2018 · 2018
Cited alongside, same era.
Li, C.Y., Hu, Z., Liang, X., Xing, E.P., 2018 · 2018
Cited alongside, same era.
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 9049–9058
Wang, X., Peng, Y., Lu, L., Lu, Z., Summers, R.M., 2018 · 2018
Cited alongside, same era.
How powerful are graph neural networks?, in: International Conference on Learning Representations
Xu, K., Hu, W., Leskovec, J., Jegelka, S., 2018 · 2018
Cited alongside, same era.
Multimodal recurrent model with attention for automated radiology report generation, in: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer. pp. 457–466
Xue, Y., Xu, T., Long, L.R., Xue, Z., Antani, S., Thoma, G.R., Huang, X., 2018 · 2018
Cited alongside, same era.
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison, in: Proceedings of the AAAI conference on artificial intelligence, pp. 590–597
Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., Marklund, H., Haghgoo, B., Ball, R., Shpanskaya, K., et al., 2019 · 2019
Cited alongside, same era.
Show, describe and conclude: On exploiting the structure information of chest x-ray reports, in: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 6570–6580
Jing, B., Wang, Z., Xing, E., 2019 · 2019
Cited alongside, same era.
Knowledge-driven encode, retrieve, paraphrase for medical image report generation, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 6666–6673
Li, C.Y., Liang, X., Hu, Z., Xing, E.P., 2019 · 2019
Cited alongside, same era.
Automated radiology report generation using conditioned transformers
Alfarghaly, O., Khaled, R., Elkorany, A., Helal, M., Fahmy, A., 2021 · 2021
Closest in time.
Cohen, J.P., Viviano, J.D., Bertin, P., Morrison, P., Torabian, P., Guarrera, M., Lungren, M.P., Chaudhari, A., Brooks, R., Hashir, M., Bertrand, H., 2021 · 2021
Closest in time.
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Jain, S., Agrawal, A., Saporta, A., Truong, S.Q., Nguyen Duong, D., Bui, T., Chambon, P., Lungren, M., Ng, A., Langlotz, C., Rajpurkar, P., 2021 · 2021
Closest in time.
Competence-based Multimodal Curriculum Learning for Medical Report Generation, in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Association for Computational Linguistics, Stroudsburg, PA, USA. pp. 3001–3012
Liu, F., Ge, S., Wu, X., 2021a · 2021
Closest in time.
Liu, F., Yin, C., Wu, X., Ge, S., Zhang, P., Sun, X., 2021c · 2021
Closest in time.
Do transformers really perform bad for graph representation?
Ying, C., Cai, T., Luo, S., Zheng, S., Ke, G., He, D., Shen, Y., Liu, T.Y., 2021 · 2021
Closest in time.
Aligntransformer: Hierarchical alignment of visual regions and disease tags for medical report generation, in: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer. pp. 72–82
You, D., Liu, F., Ge, S., Xie, X., Zhang, J., Wu, X., 2021 · 2021
Closest in time.
Biomedical and clinical english model packages for the stanza python nlp library
Zhang, Y., Zhang, Y., Qi, P., Manning, C.D., Langlotz, C.P., 2021 · 2021
Closest in time.
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
Zhou, S.K., Greenspan, H., Davatzikos, C., Duncan, J.S., Van Ginneken, B., Madabhushi, A., Prince, J.L., Rueckert, D., Summers, R.M., 2021 · 2021
Closest in time.
Show, attend and tell: Neural image caption generation with visual attention, in: International conference on machine learning, pp. 2048–2057
Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhudinov, R., Zemel, R., Bengio, Y., 2015 · 2057
Closest in time.