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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.

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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

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
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 proceedingConference 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 proceedingChapter

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 proceedingConference contribution

Colonoscopy
Polyps
cancer
Neural networks
Edge detection

Projects 2010 2020