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Chen, Guo, Wen, Zhiyong, and Hou, Fazhong (2023) Application of computer image processing technology in old artistic design restoration. Heliyon, 9 (11). e21366.

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Jiang, C., Yuan, Y., Gu, B., Ahn, E., Kim, J., Feng, D., Huang, Q., and Song, S. (2023) Preoperative prediction of microvascular invasion and perineural invasion in pancreatic ductal adenocarcinoma with 18F-FDG PET/CT radiomics analysis. Clinical Radiology, 78 (9). pp. 687-696.

Wang, Wei-Chien, Ahn, Euijoon, Feng, Dagan, and Kim, Jinman (2023) A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. Machine Intelligence Research, 20 (4). pp. 483-512.

Chaturvedi, Iti, Chen, Qian, Welsch, Roy E., Thapa, Kishor, and Cambria, Erik (2022) Gaussian correction for Adversarial learning of Boundaries. Signal Processing-Image Communication, 109. 116841.

Chaturvedi, Iti, Cambria, Erik, Chen, Qian, and McConnell, Desmond (2022) Landmark calibration for facial expressions and fish classification. Signal, Image and Video Processing, 16 (2). pp. 377-384.

Chen, Qian, Chaturvedi, Iti, Ji, Shaoxiong, and Cambria, Erik (2021) Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognition Letters, 150. pp. 115-121.

Konovalov, Dmitry A., Swinhoe, Natalie, Efremova, Dina B., Birtles, R. Alastair, Kusetic, Martha, Hillcoat, Suzanne, Curnock, Matthew I., Williams, Genevieve, and Sheaves, Marcus (2020) Automatic sorting of Dwarf Minke Whale underwater images. Information, 11 (4). 200.

Li, Jiwei, Knapp, David E., Fabina, Nicholas S., Kennedy, Emma V., Larsen, Kirk, Lyons, Mitchell B., Murray, Nicholas J., Phinn, Stuart R., Roelfsema, Chris M., and Asner, Gregory P. (2020) A global coral reef probability map generated using convolutional neural networks. Coral Reefs, 39 (6). pp. 1805-1815.

Olsen, Alex, Konovalov, Dmitry A., Philippa, Bronson, Ridd, Peter, Wood, Jake, Johns, Jamie, Banks, Wesley, Girgenti, Benjamin, Kenny, Owen, Whinney, James, Calvert, Brendan, Rahimi Azghadi, Mostafa, and White, Ronald D. (2019) DeepWeeds: a multiclass weed species image dataset for deep learning. Scientific Reports, 9. 2058.

Rehn, E., Rehn, A., and Possemiers, A. (2019) Fossil charcoal particle identification and classification by two convolutional neural networks. Quaternary Science Reviews, 226. 106038.

Chaturvedi, Iti, Satapathy, Ranjan, Cavallari, Sandro, and Cambria, Erik (2019) Fuzzy commonsense reasoning for multimodal sentiment analysis. Pattern Recognition Letters, 125. pp. 264-270.

Orr, Ryan, Pattison, Anthony, East, David, Warman, Noeleen, O'Neill, Wayne, Czislowski, Elizabeth, and Nelson, Paul N. (2019) Image-based quantification of Fusarium wilt severity in banana. Australasian Plant Disease Notes, 14. 14.

Belazi, Akram, Talha, Muhammad, Kharbech, Sofiane, and Xiang, Wei (2019) Novel medical image encryption scheme based on chaos a DNA encoding. IEEE Access, 7. pp. 36667-36681.

Zhou, Yuan, Huo, Shuwei, Xiang, Wei, Hou, Chunping, and Kung, Sun-Yuan (2019) Semi-supervised salient object detection using a linear feedback control system model. IEEE Transactions on Cybernetics, 49 (4). pp. 1173-1185.

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Zhou, Yuan, Wu, Qiong, Yan, Kangming, Feng, Liyang, and Xiang, Wei (2019) Underwater image restoration using color-line model. IEEE Transactions on Circuits and Systems for Video Technology, 29 (3). pp. 907-911.

Boyden, James, Wurm, Penny, Joyce, Karen E., and Boggs, Guy (2019) The spatial dynamics of invasive para grass on a monsoonal floodplain, Kakadu National Park, northern Australia. Remote Sensing, 11 (18). pp. 2090-2128.

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Solomon, George M., Francis, Richard, Chu, Kengyeh K., Birket, Susan E., Gabriel, George, Trombley, John E., Lemke, Kristi L., Klena, Nikolai, Turner, Brett, Tearney, Guillermo J., Lo, Cecilia W., and Rowe, Steven M. (2017) Assessment of ciliary phenotype in primary ciliary dyskinesia by micro-optical coherence tomography. JCI Insight, 2 (5). e91702.

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Marchant, Ross, and Jackway, Paul (2017) A sinusoidal image model derived from the circular harmonic vector. Journal of Mathematical Imaging and Vision, 57 (2). pp. 138-163.

Wang, Gengkun, Xiang, Wei, Pickering, Mark, and Chen, Chang Wen (2016) Light field multi-view video coding with two-directional parallel inter-view prediction. IEEE Transactions on Image Processing, 25 (11). pp. 5104-5117.

Yan, Weiqing, Hou, Chunping, Zhou, Yuan, and Xiang, Wei (2016) Content- and disparity-adaptive stereoscopic image retargeting. Journal of Modern Optics, 63 (3). pp. 207-218.

Bryson, Mitch, Duce, Stephanie, Harris, Dan, Webster, Jody M., Thompson, Alisha, Vila-Concejo, Ana, and Williams, Stefan B. (2016) Geomorphic changes of a coral shingle cay measured using Kite Aerial Photography. Geomorphology, 270. pp. 1-8.

Hamylton, Sarah M., Carvalho, Rafael C., Duce, Stephanie, Roelfsema, Chris M., and Vila-Concejo, Ana (2016) Linking pattern to process in reef sediment dynamics at Lady Musgrave Island, southern Great Barrier Reef. Sedimentology, 63 (6). pp. 1634-1650.

Wang, Gengkun, Xiang, Wei, and Pickering, Mark (2016) A cross-platform solution for light field based 3D telemedicine. Computer Methods and Programs in Biomedicine, 125. pp. 103-116.

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Ahn, Euijoon, Kumar, Ashnil, Kim, Jinman, Li, Changyang, Feng, Dagan, and Fulham, Michael (2016) X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. In: Proceedings of the 13th International Symposium on Biomedical Imaging. pp. 855-858. From: ISBI 2016: 13th International Symposium on Biomedical Imaging, 13-16 April 20216, Prague, Czech Republic.

Ahn, Euijoon, Bi, Lei, Jung, Youn Hyun, Kim, Jinman, Li, Changyang, Fulham, Michael, and Feng, David Dagan (2015) Automated saliency-based lesion segmentation in dermoscopic images. In: Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. pp. 3009-3012. From: EMBC 2015: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 25-29 August 2015, Milan, Italy.

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Thesis

Saleh, Alzayat (2020) Developing deep learning methods for aquaculture applications. Masters (Research) thesis, James Cook University.

Liu, Hong-Bin (2020) Predictive spatio-temporal modelling with neural networks. PhD thesis, James Cook University.