Yang F, Yu H, Silamut K, Maude R, Jaeger S, Antani SK.Smartphone-Supported Malaria Diagnosis Based on Deep Learning. Proceedings of 10th Workshop on Machine Learning in Medical Imaging (MLMI 2019) in conjunction with MICCAI, Shenzhen, China, Oct 13-17, 2019.
Yang F, Yu H, Silamut K, Maude RJ, Jaeger S, Antani SK.Smartphone-Supported Malaria Diagnosis Based on Deep Learning. In: Suk HI., Liu M., Yan P., Lian C. (eds) Machine Learning in Medical Imaging. MLMI 2019. Lecture Notes in Computer Science, vol 11861. Springer, Cham.
Rosemblat G, Fiszman, M, Shin D, Kilicoglu H.Towards a characterization of apparent contradictions in the biomedical literature using context analysis. Journal of Biomedical Informatics. 2019. In Press. https://doi.org/10.1016/j.jbi.2019.103275.
Ben Abacha A, Mrabet Y, Sharp M, Goodwin T, Shooshan S, Demner-Fushman D.Bridging the Gap Between Consumers’ Medication Questions and Trusted Answers. Stud Health Technol Inform. 2019 Aug 21;264:25-29. doi: 10.3233/SHTI190176.
Vasilakes J, Fan Y, Rizvi R, Bompelli A, Bodenreider O, Zhang R.Normalizing Dietary Supplement Product Names Using the RxNorm Model. Stud Health Technol Inform. 2019 Aug 21;264:408-412. doi: 10.3233/SHTI190253.
Rajaraman S, Candemir S, Xue Z, Alderson P, Thoma G, Antani SK.A Novel Stacked Model Ensemble for Improved TB Detection in Chest Radiographs. In Santosh KC et al. (Eds.). Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques. (pp. 1-26). New York, NY: CRC Press, Taylor & Francis Group.
Datta S, Si Y, Rodriguez L, Shooshan S, Demner-Fushman D, roberts K.Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. arXiv preprint arXiv:1908.04485, 2019.
Ben Abacha A, Shivade C, Demner-Fushman D.Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. Proceedings of the 18th BioNLP Workshop and Shared Task, Florence, Italy, August 1, 2019.
Ganesan P, Rajaraman S, Long LR, Ghoraani B, Antani SK.Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 841 – 844.
Ganesan P, Xue Z, Singh S, Long LR, Ghoraani B, Antani SK.Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 4487 – 4490.
Rajaraman S, Sornapudi S, Kohli M, Antani SK.Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 3689 – 3692.
Rajaraman S, Antani SK.Visualizing Salient Network Activations in Convolutional Neural Networks for Medical Image Modality Classification. Santosh K., Hegadi R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1036. Springer, Singapore
Kim J, Tran L, Chew E, Antani SK.Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning 2019 IEEE 32th International Symposium on Computer-Based Medical Systems (CBMS), pp 489-494, Cordoba, Spain, June 2019.