Vision, Imaging and Visualisation in Durham (VIViD)

Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks (2018)
Journal Article
Lee, S. H., Chan, C. S., & Remagnino, P. (2018). Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks. IEEE Transactions on Image Processing, 27(9), 4287-4301. https://doi.org/10.1109/tip.2018.2836321

HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION (2017)
Presentation / Conference Contribution
Lee, S. H., Chang, Y. L., Chan, C. S., & Remagnino, P. (2017). HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION.

How deep learning extracts and learns leaf features for plant classification (2017)
Journal Article
Lee, S. H., Chan, C. S., Mayo, S. J., & Remagnino, P. (2017). How deep learning extracts and learns leaf features for plant classification. Pattern Recognition, 71, 1-13. https://doi.org/10.1016/j.patcog.2017.05.015

DEEP-PLANT: PLANT IDENTIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS (2015)
Presentation / Conference Contribution
Lee, S. H., Chan, C. S., Wilkin, P., & Remagnino, P. (2015). DEEP-PLANT: PLANT IDENTIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS.

Laplacian Eigenmap With Temporal Constraints for Local Abnormality Detection in Crowded Scenes (2013)
Journal Article
Thida, M., Eng, H., & Remagnino, P. (2013). Laplacian Eigenmap With Temporal Constraints for Local Abnormality Detection in Crowded Scenes. IEEE Transactions on Cybernetics, 43(6), 2147-2156. https://doi.org/10.1109/tcyb.2013.2242059

Reverse engineering expert visual observations: From fixations to the learning of spatial filters with a neural-gas algorithm (2013)
Journal Article
Cope, J., Remagnino, P., Mannan, S., Diaz, K., Ferri, F., & Wilkin, P. (2013). Reverse engineering expert visual observations: From fixations to the learning of spatial filters with a neural-gas algorithm. Expert Systems with Applications, 40(17), 6707-6712. https://doi.org/10.1016/j.eswa.2013.05.042

Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier (2013)
Presentation / Conference Contribution
Fraz, M., Remagnino, P., Hoppe, A., & Barman, S. (2013). Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier.

Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach (2013)
Journal Article
Fraz, M., Remagnino, P., Hoppe, A., Rudnicka, A., Owen, C., Whincup, P., & Barman, S. (2013). Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach. Computerized Medical Imaging and Graphics, 37(1), 48-60. https://doi.org/10.1016/j.compmedimag.2013.01.004

Classification of High-Dimension PDFs Using the Hungarian Algorithm (2012)
Presentation / Conference Contribution
Cope, J. S., & Remagnino, P. (2012, December). Classification of High-Dimension PDFs Using the Hungarian Algorithm. Presented at STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION Int Assoc Pattern Recognit; Int Assoc Pattern Recognit, Tech Comm 1, Stat Pattern Recognit Tech; Int Assoc Pattern Recognit, Tech Comm 2, Struct \& Syntact Pattern Recognit; Tohoku Univ; Hiroshima

Classifying Plant Leaves from Their Margins Using Dynamic Time Warping (2012)
Presentation / Conference Contribution
Cope, J. S., & Remagnino, P. (2012, December). Classifying Plant Leaves from Their Margins Using Dynamic Time Warping. Presented at ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS (ACIVS 2012) Brno Univ Technol; Camea; Ghent Univ; Honeywell; Redhat; Unis; Zoner

Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles (2012)
Presentation / Conference Contribution
Fraz, M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A., Owen, C., & Barman, S. (2012, December). Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles. Presented at IMAGE ANALYSIS AND RECOGNITION, PT II Assoc Image \& Machine Intelligence (AIMI)

A model based approach for vessel caliber measurement in retinal images (2012)
Presentation / Conference Contribution
Fraz, M. M., Remagnino, P., Hoppe, A., Barman, S. A., Rudnicka, A., Owen, C., & Whincup, P. (2012). A model based approach for vessel caliber measurement in retinal images. In K. Yetongnon, R. Chbeir, A. Dipanda, & L. Gallo (Eds.), . https://doi.org/10.1109/sitis.2012.29

An approach to localize the retinal blood vessels using bit planes and centerline detection (2012)
Journal Article
Fraz, M., Barman, S., Remagnino, P., Hoppe, A., Basit, A., Uyyanonvara, B., …Owen, C. (2012). An approach to localize the retinal blood vessels using bit planes and centerline detection. Computer Methods and Programs in Biomedicine, 108(2), 600-616. https://doi.org/10.1016/j.cmpb.2011.08.009

Blood vessel segmentation methodologies in retinal images - A survey (2012)
Journal Article
Fraz, M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A., Owen, C., & Barman, S. (2012). Blood vessel segmentation methodologies in retinal images - A survey. Computer Methods and Programs in Biomedicine, 108(1), 407-433. https://doi.org/10.1016/j.cmpb.2012.03.009

An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation (2012)
Journal Article
Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A. R., Owen, C. G., & Barman, S. A. (2012). An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation. IEEE Transactions on Biomedical Engineering, 59(9), 2538-2548. https://doi.org/10.1109/tbme.2012.2205687

Outputs (35)