Jianming Liang

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.

1 Similar Profiles

Polyps Medicine & Life Sciences

Pulmonary Embolism Medicine & Life Sciences

Image analysis Engineering & Materials Science

Angiography Engineering & Materials Science

Neural networks Engineering & Materials Science

Colonoscopy Medicine & Life Sciences

Lung Medicine & Life Sciences

Screening Engineering & Materials Science

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

Research Output 1997 2018

1307 Citations
16 h-Index
30 Conference contribution
22 Article
14 Patent
4 Chapter
1 More
- 1 Review article

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 journal › Article

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 journal › Article

Carotid Intima-Media Thickness

Problem-Based Learning

Tuning

Neural networks

Ultrasonography

8 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 proceeding › Conference contribution

Computerized tomography

Medical Image

Encoder

Image segmentation

Image Segmentation

2 Citations (Scopus)

Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks

Tajbakhsh, N., Shin, J. Y., Hurst, R. T., Kendall, C. B. & Liang, J., Jan 30 2017, Deep Learning for Medical Image Analysis. Elsevier Inc., p. 105-131 27 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Thickness measurement

Ultrasonography

Neural networks

Analysis of variance (ANOVA)

2 Citations (Scopus)

Automatic polyp detection in colonoscopy videos

Yuan, Z., Izadyyazdanabadi, M., Mokkapati, D., Panvalkar, R., Shin, J. Y., Tajbakhsh, N., Gurudu, S. & Liang, J., 2017, Medical Imaging 2017: Image Processing. SPIE, Vol. 10133. 101332K

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Colonoscopy

Polyps

cancer

Neural networks

Edge detection