Goss FR, Lai KH, Topaz M, Acker WW, Kowalski L, Plasek JM, Blumenthal KG, Seger DL, Slight SP, Fung KW, Chang FY, Bates DW, Zhou L.A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2017 Dec 14. doi: 10.1093/jamia/ocx139. [Epub ahead of print]
Rajaraman S, Antani SK, Xue Z, Candemir S, Jaeger S, Thoma GR.Visualizing abnormalities in chest radiographs through salient network activations in Deep Learning. Proc. IEEE Life Sciences Conference (LSC), Sydney, Australia, 2017. pp. 71-74, DOI:10.1109/LSC.2017.8268146.
Zou J, Antani SK, Thoma GR.Localizing and Recognizing Labels for Multi-Panel Figures in Biomedical Journals. Proceedings of International Conference on Document Analysis and Recognition, November 13, 2017
Moallem G, Poostchi M, Yu H, Palaniappan N, Silamut K, Maude RJ, Hossain Md Amir, Jaeger S, Antani SK, Thoma GR.Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears [Poster]. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Poster, 2017
Guan Y, Li M, Jaeger S, Lure F, Raptopoulos V, Lu P, Folio LR, Candemir S, Antani SK, Siegelman J, Li J, Wu T, Thoma GR, Qu S.Applying Artificial Intelligence and Radiomics for Computer Aided Diagnosis and Risk Assessment in Chest Radiographs. 2nd Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM), Poster, 2017.
Ben Abacha A, De Herrera A, Gayen S, Demner-Fushman D, Antani SK.NLM at ImageCLEF 2017 Caption Task. International Conference of the Cross-Language Evaluation Forum for European Languages 2017 Sep 11 (pp. 358-360). Springer, Cham.
Rajaraman S, Antani SK, Jaeger S.Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
Mrabet Y, Kilicoglu H, Demner-Fushman D.TextFlow: A Text Similarity Measure based on Continuous Sequences. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017, Vancouver, Canada, July 30 - August 4, Volume
Kim I, Thoma GR.Machine Learning with Selective Word Statistics for Automated Classification of Citation Subjectivity in Online Biomedical Articles. Proc. Int’l Conf. Artificial Intelligence (ICAI’17), pp. 201-207, Las Vegas, July 2017.
Kim J, Hong S, Thoma GR.Labeling Author Affiliations in Biomedical Articles Using Markov Model Classifiers. The 13th International Conference on Data Mining (DMIN2017), pp. 105-110, Las Vegas, USA, July 2017.
Zhang, K, Demner-Fushman D.Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations. J Am Med Inform Assoc. 2017 Feb 19. doi: 10.1093/jamia/ocw176. [Epub ahead of print]
Roberts K, Boland MR, Pruinelli L, Dcruz J, Berry A, Georgsson M, Hazen R, Sarmiento RF, Backonja U, Yu K-H, Jiang Y, Brennan PF.Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics. J Am Med Inform Assoc. 2017 Apr 1;24(e1):e185-e190. doi: 10.1093/jamia/ocw103.
Xue Z, Antani SK, Long LR, Thoma GR.Automatic multi-label annotation of abdominal CT images using CBIR. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013807 (March 13, 2017); doi:10.1117/12.2254368.