Research output per year
Research output per year
Research output
Search results
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2022
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop
Han, Y., Chen, C., Tewfik, A., Glicksberg, B., Ding, Y., Peng, Y. & Wang, Z., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. Institute of Electrical and Electronics Engineers Inc., p. 1789-1798 10 p. (Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
Multi-Dimensional Laboratory Test Score as a Proxy for Health
Ezra, B. H., Havaldar, S., Glicksberg, B. & Rappoport, N., 25 May 2022, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Seroussi, B., Weber, P., Dhombres, F., Grouin, C., Liebe, J-D., Liebe, J-D., Liebe, J-D., Pelayo, S., Pinna, A., Rance, B., Rance, B., Sacchi, L., Ugon, A., Ugon, A., Benis, A. & Gallos, P. (eds.). IOS Press BV, p. 219-223 5 p. (Studies in Health Technology and Informatics; vol. 294).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning
Lee, J., Wanyan, T., Chen, Q., Keenan, T. D. L., Glicksberg, B. S., Chew, E. Y., Lu, Z., Wang, F. & Peng, Y., 2022, Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Lian, C., Cao, X., Rekik, I., Xu, X. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 11-20 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13583 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction
Wanyan, T., Lin, M., Klang, E., Menon, K. M., Gulamali, F. F., Azad, A., Zhang, Y., Ding, Y., Wang, Z., Wang, F., Glicksberg, B. & Peng, Y., 7 Aug 2022, Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2022. Association for Computing Machinery, Inc, 9. (Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
2020
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions
Wanyan, T., Kang, M., Badgeley, M. A., Johnson, K. W., De Freitas, J. K., Chaudhry, F. F., Vaid, A., Zhao, S., Miotto, R., Nadkarni, G. N., Wang, F., Rousseau, J., Azad, A., Ding, Y. & Glicksberg, B. S., 2020, Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Proceedings. Michalowski, M. & Moskovitch, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 14-25 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12299 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
2018
Automatic processing of electronic medical records using deep learning
Osmani, V., Li, L., Danieletto, M., Glicksberg, B., Dudley, J. & Mayora, O., 21 May 2018, Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018. Association for Computing Machinery, p. 251-257 7 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
2014
Leveraging hierarchy in medical codes for predictive modeling
Singh, A., Nadkarni, G., Guttag, J. & Bottinger, E., 20 Sep 2014, ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, p. 96-103 8 p. (ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
12 Scopus citations -
2013
Agent based simulation for training and assessing students in the field of anesthesiology
Epstein, J. H., Levin, M. & Jowell, M. S., 2013, Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems. p. 332-336 5 p. 6627811. (Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations