Geoffrey D Rubin

Calculated based on number of publications stored in Pure and citations from Scopus
1986 …2024

Research activity per year

Filter
Conference contribution

Search results

  • 2022

    Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT

    Tushar, F. I., Danniballe, V. M., Rubin, G. D., Samei, E. & Lo, J. Y., 2022, Medical Imaging 2022: Computer-Aided Diagnosis. Drukker, K. & Iftekharuddin, K. M. (eds.). SPIE, 120332J. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12033).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2020

    Attention-guided classification of abnormalities in semi-structured computed tomography reports

    Faryna, K., Tushar, F. I., D'Anniballe, V. M., Hou, R., Rubin, G. D. & Lo, J. Y., 2020, Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (eds.). SPIE, 113141P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
  • Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features

    Saha, A., Tushar, F. I., Faryna, K., D'Anniballe, V. M., Hou, R., Mazurowski, M. A., Rubin, G. D. & Lo, J. Y., 2020, Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (eds.). SPIE, 1131408. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations
  • 2019

    2.5D CNN model for detecting lung disease using weak supervision

    Geng, Y., Ren, Y., Hou, R., Han, S., Rubin, G. D. & Lo, J. Y., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 109503O. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations
  • Classification of chest CT using case-level weak supervision

    Tang, R., Tushar, F. I., Han, S., Hou, R., Rubin, G. D. & Lo, J. Y., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 1095017. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models

    Han, S., Tian, J., Kelly, M., Selvakumaran, V., Henao, R., Rubin, G. D. & Lo, J. Y., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 109504H. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports

    Benitez, M., Tian, J., Kelly, M., Selvakumaran, V., Phelan, M., Mazurowski, M., Lo, J. Y., Rubin, G. D. & Henao, R., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 109500V. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Deep learning of 3D computed tomography (CT) images for organ segmentation using 2D multi-channel SegNet model

    Liu, Y., Fu, W., Selvakumaran, V., Phelan, M., Segars, W. P., Samei, E., Mazurowski, M., Lo, J. Y., Rubin, G. D. & Henao, R., 2019, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications. Chen, P.-H. & Bak, P. R. (eds.). SPIE, 109541D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10954).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
  • Multi-organ segmentation in clinical-computed tomography for patient-specific image quality and dose metrology

    Fu, W., Sharma, S., Smith, T., Hou, R., Abadi, E., Selvakumaran, V., Tang, R., Lo, J. Y., Segars, W. P., Kapadia, A. J., Solomon, J. B., Rubin, G. D. & Samei, E., 2019, Medical Imaging 2019: Physics of Medical Imaging. Schmidt, T. G., Chen, G.-H. & Bosmans, H. (eds.). SPIE, 1094829. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10948).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • 2017

    Development of local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging

    Solomon, J., Rubin, G., Smith, T., Harrawood, B., Choudhury, K. R. & Samei, E., 2017, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment. Nishikawa, R. M. & Kupinski, M. A. (eds.). SPIE, 101360X. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10136).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Quantification of the uncertainty in coronary CTA plaque measurements using dynamic cardiac phantom and 3D-printed plaque models

    Richards, T., Sturgeon, G. M., Ramirez-Giraldo, J. C., Rubin, G., Segars, P. & Samei, E., 2017, Medical Imaging 2017: Physics of Medical Imaging. Schmidt, T. G., Lo, J. Y. & Flohr, T. G. (eds.). SPIE, 101325E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10132).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2009

    Automated coronary CT angiography plaque-lumen segmentaton

    Cline, H. E., Krishnan, K., Napel, S., Rubin, G. D., Turner, W. D. & Avila, R. S., 2009, Medical Imaging 2009: Computer-Aided Diagnosis. 726003. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7260).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • Thin client architecture in support of remote radiology learning

    Schmitzberger, F. F., Roos, J., Napel, S., Rubin, G. D. & Paik, D., 2009, 24th Annual ACM Symposium on Applied Computing, SAC 2009. p. 842-846 5 p. (Proceedings of the ACM Symposium on Applied Computing).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2006

    Flattening the abdominal aortic tree for effective visualization

    Joong, H. W., Rubin, G. D. & Napel, S., 2006, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. p. 3345-3348 4 p. 4029471. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • 1996

    Assessment of several virtual endoscopy techniques using computed tomography and perspective volume rendering

    Shahidi, R., Argiro, V., Nape, S., Gray, L., McAdams, H. P., Rubin, G. D., Beaulieu, C. F., Jeffrey, R. B. & Johnson, A., 1996, Visualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings. Hohne, K. H. & Kikinis, R. (eds.). Springer-Verlag, p. 521-528 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1131).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    12 Scopus citations