Jianming Liang

Assoc Professor

  • 1412 Citations
  • 16 h-Index
19972020
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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

Fingerprint 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.

Pulmonary Embolism Medicine & Life Sciences
Image analysis Engineering & Materials Science
Polyps Medicine & Life Sciences
Neural networks Engineering & Materials Science
Angiography Engineering & Materials Science
Colonoscopy Medicine & Life Sciences
Computer-aided Detection Mathematics
Lung Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1997 2019

Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation

Tajbakhsh, N., Shin, J. Y., Gotway, M. B. & Liang, J., Dec 2019, In : Medical image analysis. 58, 101541.

Research output: Contribution to journalArticle

Three dimensional computer graphics
Computer aided diagnosis
Data visualization
Computerized tomography
Network architecture

Surrogate supervision for medical image analysis: Effective deep learning from limited quantities of labeled data

Tajbakhsh, N., Hu, Y., Cao, J., Yan, X., Xiao, Y., Lu, Y., Liang, J., Terzopoulos, D. & Ding, X., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1251-1255 5 p. 8759553. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

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

Medical imaging
Diagnostic Imaging
Image segmentation
Image analysis
Learning

An ensemble of convolutional neural networks for the use in video endoscopy

Aksenov, S. V., Kostin, K. A., Ivanova, A. V., Liang, J. & Zamyatin, A. V., Jan 1 2018, In : Sovremennye Tehnologii v Medicine. 10, 2, p. 7-17 11 p.

Research output: Contribution to journalArticle

Endoscopy
Neural networks
Classifiers
Neural Networks (Computer)
Colonoscopy

Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation

Zhou, Z., Shin, J., Feng, R., Hurst, R. T., Kendall, C. B. & Liang, J., Jan 1 2018, (Accepted/In press) In : Journal of Digital Imaging.

Research output: Contribution to journalArticle

Carotid Intima-Media Thickness
Problem-Based Learning
Tuning
Neural networks
Ultrasonography
14 Citations (Scopus)

Unet++: A nested u-net architecture for medical image segmentation

Zhou, Z., Rahman Siddiquee, M. M., Tajbakhsh, N. & Liang, J., Jan 1 2018, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018. Maier-Hein, L., Syeda-Mahmood, T., Taylor, Z., Lu, Z., Stoyanov, D., Madabhushi, A., Tavares, J. M. R. S., Nascimento, J. C., Moradi, M., Martel, A., Papa, J. P., Conjeti, S., Belagiannis, V., Greenspan, H., Carneiro, G. & Bradley, A. (eds.). Springer Verlag, p. 3-11 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11045 LNCS).

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

Computerized tomography
Medical Image
Encoder
Image segmentation
Image Segmentation

Projects 2010 2020