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
Overby CL, Tarczy-Hornoch P, Demner-Fushman D.The potential for automated question answering in the context of genomic medicine: An assessment of existing resources and properties of answers Summit on Translat Bioinforma. 2009 Mar 1;2009:1-25.
Antani SK, You D, Simpson M, Rahman M, Demner-Fushman D, Thoma GR.The role of image modality and visual characteristics in archiving biomedical images. Proc of IS&T Archiving Conference. Volume 2013, Number 1, 2013, pp. 31-35.
Pearson G, Gill MJ, Antani SK, Neve L, Miernicki G, Phichaphop K, Kanduru A, Jaeger S, Thoma GR.The Role of Location For Family Reunification During Disasters. HealthGIS 2012. Redondo Beach, CA. November 2012.
Huang X, Wang W, Xue Z, Antani SK, Long LR, Jeronimo J.Tissue Classification using Cluster Features for Lesion Detection in Digital Cervigrams Proc. SPIE Medical Imaging 2008. April 2008;6914:69141Z-1-8
Misra D, Thoma GR.Use of descriptive metadata as a knowledgebase for analyzing data in large textual collections. Proc. IS&T Archiving 2013. Washington D.C. Proc. IS&T Archiving 2013. Washington D.C. pg 193-199.
De Herrera A, Schaer R, Antani SK, Müller H.Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation. In: Carneiro G. et al. (eds) Deep Learning and Data Labeling for Medical Applications. LABELS 2016, DLMIA 2016. Lecture Notes in Computer Science, vol 10008. Springer, Cham
Xue Z, Antani SK, Long LR, Thoma GR.Using deep learning for detecting gender in adult chest radiographs. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790D (6 March 2018) pp. doi: 10.1117/12.2293027.
Kim J, Lobuglio PS, Thoma GR.Visualization of Statistics from MEDLINE. 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS 2016), Dublin and Belfast, Ireland, pp. 290-291, June, 2016.
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.
Rajaraman S, Candemir S, Thoma G, Antani SK.Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109500S (13 March 2019); doi: 10.1117/12.2512752.
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.