Research output per year
Research output per year
Personal profile
Education/Academic qualification
Computer Science, PHD, Turku Centre for Computer Science
… → 2001
Computer Science, MS, North China Institute of Computing Technology
… → 1990
Computer Science, BS, University of Science and Technology
… → 1987
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Dive into the research topics where Jianming Liang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Research output
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Machine-learning enabled wireless wearable sensors to study individuality of respiratory behaviors
Chen, A., Zhang, J., Zhao, L., Rhoades, R. D., Kim, D. Y., Wu, N., Liang, J. & Chae, J., Feb 1 2021, In: Biosensors and Bioelectronics. 173, 112799.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Models Genesis
Zhou, Z., Sodha, V., Pang, J., Gotway, M. B. & Liang, J., Jan 2021, In: Medical image analysis. 67, 101840.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
Haghighi, F., Taher, M. R. H., Zhou, Z., Gotway, M. B. & Liang, J., 2021, (Accepted/In press) In: IEEE Transactions on Medical Imaging.Research output: Contribution to journal › Article › peer-review
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Learning semantics-enriched representation via self-discovery, self-classification, and self-restoration
Haghighi, F., Hosseinzadeh Taher, M. R., Zhou, Z., Gotway, M. B. & Liang, J., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 137-147 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12261 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Parts2Whole: Self-supervised Contrastive Learning via Reconstruction
Feng, R., Zhou, Z., Gotway, M. B. & Liang, J., 2020, Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - 2nd MICCAI Workshop, DART 2020, and 1st MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Albarqouni, S., Bakas, S., Kamnitsas, K., Cardoso, M. J., Landman, B., Li, W., Milletari, F., Rieke, N., Roth, H., Xu, D. & Xu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 85-95 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12444 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Projects
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Computer-Aided Diagnosis of Pulmonary Embolism
HHS: National Institutes of Health (NIH)
7/1/16 → 4/30/21
Project: Research project
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(Marley application Spring 2017) Robust intensity-modulated proton therapy to spare high linear energy transfer in organs at risk
8/1/17 → 2/28/18
Project: Research project
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Towards a Comprehensive Decision Support Enviornment in Biomedical Imaging for Value based Health Care Delivery
6/5/17 → 7/14/17
Project: Research project
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Towards Precise Intensity-Modulated Proton Therapy for Lung Cancer
3/1/17 → 5/25/18
Project: Research project