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  • Bryant B, Sari-Sarraf H, Long LR, Antani SK. A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2017, Austin, Texas, USA, December 2017. Pp. 267-8 DOI: https://doi.org/10.1145/3148055.3149206
  • de Herrera G, Long LR, Antani SK. Graph Representation for Content–based fMRI Activation Map Retrieval. Proceedings of 1st Life Sciences Conference, Sydney, Australia, December 2017 pp. 129-32 DOI: https://doi.org/10.1109/LSC.2017.8268160.
  • 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.
  • Almubarak HA, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Convolutional Neural Network Based Localized Classification of Uterine Cervical Cancer Digital Histology Images. Procedia Computer Science, Volume 114, 2017, Pages 281-287, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.09.044.
  • 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.
  • 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.
  • Jaeger S. Malaria Datasets
  • Candemir S, Antani SK, Xue Z, Thoma GR. Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 30th IEEE International Symposium on Computer-Based Medical Systems
  • Candemir S. Chest X-ray Screening System: Segmentation Module – v3
  • Ding M, Antani SK, Jaeger S, Xue Z, Candemir S, Kohli M, Thoma GR. Local-Global Classifier Fusion for Screening Chest Radiographs. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380A (March 13, 2017); doi:10.1117/12.2252459
  • 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.
  • Lure F, Jaeger S, Antani SK. Automated Systems for microscopic and radiographic tuberculosis screening. Electronic Journal of Emerging Infectious Diseases, Vol. 2, No. 1, pp. 5-9, February 2017. [In Chinese]
  • KC S, Antani SK. Automated chest X-ray screening: Can lung region symmetry help detect pulmonary abnormalities? IEEE Transactions on Medical Imaging. doi: https://doi.org/10.1109/TMI.2017.2775636.
  • KC S, Aafaque A, Antani SK, Thoma GR. Line Segment-Based Stitched Multipanel Figure Separation for Effective Biomedical CBIR. Int. J. Patt. Recogn. Artif. Intelligence 31, 1757003 (2017) https://doi.org/10.1142/S0218001417570038.
  • Guo P, Almubarak H, Banerjee K, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier S, Moss R, Stoecker W. Enhancements in localized classification for uterine cervical cancer digital histology image assessment. J Pathol Inform. 2016 Dec 30;7:51. doi: 10.4103/2153-3539.197193. eCollection 2016.
  • Borovikov E, Vajda S. FaceMatch: real-world face image retrieval. In: Santosh K., Hangarge M., Bevilacqua V., Negi A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. 405-419.
  • De Herrera A, Long LR, Antani SK. Content-Based fMRI Brain Maps Retrieval. International Conference on Brain and Health Informatics, Omaha, NE, USA, October 13-16, 2016.
  • Liang Z, Powell A, Ersoy I, Poostchi M, Silamut K, Palaniappan K, Guo P, Hossain M, Antani SK, Maude R, Huang J, Jaeger S, Thoma GR. CNN-Based Image Analysis for Malaria Diagnosis. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Shenzhen, China, 2016.
  • Guo P, Stanley RJ, De S, Long LR, Antani SK, Thoma GR, Demner-Fushman D, Sornapudia S. Features Advances to Automatically Find Images for Application to Clinical Decision Support. Medical Research Archives. 4(7) 2016. DOI: 10.18103/mra.v4i7.761
  • Borovikov E, Vajda S, Lingappa G, Bonifant MC. Parallel Computing in Face Image Retrieval: Practical Approach to the Real-World Image Search. Multi-Core Computer Vision and Image Processing for Intelligent Applications. IGI Global, 2017. 155-189. Web. 12 Sep. 2016. doi:10.4018/978-1-5225-0889-2.ch006
  • Mrabet Y, Vougiouklis P, Kilicoglu H, Gardent C, Demner-Fushman D, Hare J, Simperl E. Aligning Texts and Knowledge Bases with Semantic Sentence Simplification. WebNLG 2016.
  • KC S, Vajda S, Antani S, Thoma GR. Edge map analysis in chest X-rays for automatic pulmonary abnormality screening. Int J Comput Assist Radiol Surg. 2016 Sep;11(9):1637-46. doi: 10.1007/s11548-016-1359-6. Epub 2016 Mar 19.
  • Xu T, Zhang H, Xin C, Kim E, Long LR, Xue Z, Antani SK, Huang Z. Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation. Pattern Recognition. ISSN 0031-3203, DOI: 10.1016/j.patcog.2016.09.027.
  • Shin HC, Roberts K, Lu L, Demner-Fushman D. Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13.

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