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Ahn, Euijoon, Kumar, Ashnil, Feng, Dagan, Fulham, Michael, and Kim, Jinman (2019) Unsupervised Deep Transfer Feature Learning for Medical Image Classification. In: Proceedings of the IEEE 16th International Symposium on Biomedical Imaging. pp. 1915-1918. From: ISB I2019: IEEE 16th International Symposium on Biomedical Imaging, 8-11 April 2019, Venice, Italy.

Ahn, Euijoon, Kim, Jinman, Bi, Lei, Kumar, Ashnil, Li, Changyang, Fulham, Michael, and Feng, David Dagan (2017) Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE Journal of Biomedical and Health Informatics, 21 (6). pp. 1685-1693.

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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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.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Kumar, Ashnil, Feng, Dagan, and Fulham, Michael (2019) Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognition, 85. pp. 78-89.

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.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Kumar, Ashnil, Fulham, Michael, and Feng, Dagan (2017) Dermoscopic image segmentation via multistage fully convolutional networks. IEEE Transactions on Biomedical Engineering, 64 (9). pp. 2065-2074.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2017) Semi-automatic skin lesion segmentation via fully convolutional networks. In: Proceedings of the IEEE 14th International Symposium on Biomedical Imaging. pp. 561-564. From: ISBI 2017: IEEE 14th International Symposium on Biomedical Imaging, 18-21 April 2017, Melbourne, VIC, Australia.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2016) Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. In: Proceedings of the 13th International Symposium on Biomedical Imaging. pp. 1059-1062. From: ISBI 2016: 13th International Symposium on Biomedical Imaging, 13-16 April 20216, Prague, Czech Republic.

Bi, Lei, Kim, Jinman, Ahn, Euijoon, Feng, Dagan, and Fulham, Michael (2016) Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. In: Proceedings of the 13th International Symposium on Biomedical Imaging (4) pp. 1055-1058. From: ISBI 2016: 13th International Symposium on Biomedical Imaging, 13-16 April 20216, Prague, Czech Republic.

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.

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Chaturvedi, Iti, Pandelea, Vlad, Cambria, Erik, Welsch, Roy, and Datta, Bithin (2024) Barrier Function to Skin Elasticity in Talking Head. Cognitive Computation. (In Press)

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

Chen, Qian, Ragusa, Edoardo, Chaturvedi, Iti, Cambria, Erik, and Zunino, Rodolfo (2023) Text-Image Sentiment Analysis. In: Lecture Notes in Computer Science (13397) pp. 169-180. From: CICLing 2018: 19th International Conference on Computational Linguistics and Intelligent Text Processing, 18–24 March 2018, Hanoi, Vietnam.

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.

Chaturvedi, Iti, and Xiang, Jin (2020) Constrained manifold learning for videos. In: Proceedings of the IEEE International Joint Conference on Neural Networks. From: IJCNN 2020: IEEE International Joint Conference on Neural Networks, 19-24 July 2020, Glasgow, UK.

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

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Huo, Shuwei, Zhou, Yuan, Xiang, Wei, and Kung, Sun-Yuan (2019) Semisupervised learning based on a novel iterative optimization model for saliency detection. IEEE Transactions on Neural Networks and Learning Systems, 30 (1). pp. 225-241.

Huang, Yi, and Song, Insu (2018) A better online method of heart diagnosis. In: Proceedings of the 3rd International Conference on Biomedical Signal and Image Processing. pp. 81-86. From: ICBIP 2018: 3rd International Conference on Biomedical Signal and Image Processing, 22-24 August 2018, Seoul, Korea.

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.

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Igoe, Damien P., Parisi, Alfio V., Amar, Abdurazaq, and Rummenie, Katherine J. (2018) Median filters as a tool to determine dark noise thresholds in high resolution smartphone image sensors for scientific imaging. Review of Scientific Instruments, 89 (1). 015003.

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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.

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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.

Konovalov, Dmitry A., Saleh, Alzayat, Efremova, Dina B., Domingos, Jose A., and Jerry, Dean R. (2019) Automatic weight estimation of harvested fish from images. In: Proceedings of the International Conference on Digital Image Computing. pp. 308-314. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.

Konovalov, Dmitry A., Saleh, Alzayat, Bradley, Michael, Sankupellay, Mangalam, Marini, Simone, and Sheaves, Marcus (2019) Underwater fish detection with weak multi-domain supervision. In: Proceedings of the International Joint Conference on Neural Networks. From: 2019 IJCNN: International Joint Conference on Neural Networks, 14-19 July 2019, Budapest, Hungary.

Konovalov, D.A., Domingos, J.A., White, R.D., and Jerry, D.R. (2018) Automatic scaling of fish images. In: Proceedings of the 2nd International Conference on Advances in Image Processing. pp. 48-53. From: ICAIP 18: 2nd International Conference on Advances in Image Processing, 16-18 June 2018, Chengdu, China.

Konovalov, Dmitry A., Saleh, Alzayat, Domingos, Jose A., White, Ron D., and Jerry, Dean R. (2018) Estimating mass of harvested Asian seabass Lates calcarifer from images. World Journal of Engineering and Technology, 6 (3). pp. 15-23.

Konovalov, Dmitry A., Hillcoat, Suzanne, Williams, Genevieve, Birtles, R. Alastair, Gardiner, Naomi, and Curnock, Matthew I. (2018) Individual minke whale recognition using deep learning convolutional neural networks. Journal of Geoscience and Environment Protection, 6 (5). 84616. pp. 25-36.

Konovalov, D.A., Domingos, J.A., Bajema, C., White, R.D., and Jerry, D.R. (2017) Ruler detection for automatic scaling of fish images. In: Proceedings of the International Conference on Advances in Image Processing. pp. 90-95. From: ICAIP 2017: International Conference on Advances in Image Processing, 25-27 August 2017, Bangkok, Thailand.

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Li, Shuoshi, Zhou, Yuan, Ren, Wenqi, and Xiang, Wei (2023) PFONet: A Progressive Feedback Optimization Network for Lightweight Single Image Dehazing. IEEE Transactions on Image Processing, 32. pp. 6558-6569.

Liu, Hongbin, and Lee, Ickjai (2020) Bridging the gap between training and inference for spatio-temporal forecasting. In: Frontiers in Artificial Intelligence and Applications (325) pp. 1316-1323. From: ECAI 2020: 24th European Conference on Artificial Intelligence, 29 August - 8 September 2020, Santiago, Spain.

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

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.

Lapico, Adrian, Sankupellay, Mangalam, Cianciullo, Louis, Myers, Trina, Konovalov, Dmitry A., Jerry, Dean R., Toole, Preston, Jones, David B., and Zenger, Kyall R. (2019) Using image processing to automatically measure pearl oyster size for selective breeding. In: Proceedings of the International Conference on Digital Image Computing. pp. 90-97. From: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia.

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Masood, Anum, Naseem, Usman, and Nasim, Mehwish (2023) Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images. In: Lecture Notes in Computer Science. pp. 29-39. From: CaPTion: 2nd International Workshop on Cancer Prevention through Early Detection, 12 October 2023, Vancouver, Canada.

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.

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Nguwi, Yok-Yen, Kouzani, Abbas Z., Kumar, Jayanth J., and Driscoll, Don (2016) Automatic detection of lizards. In: Proceedings of the International Conference on Advanced Mechatronic Systems. pp. 300-305. From: ICAMechS 2016: International Conference on Advanced Mechatronic Systems, 30 November - 3 December 2016, Melbourne, VIC, Australia.

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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.

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.

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Pratikno, Heri, Ibrahim, Mohd Zamri, and Jusak, Jusak (2024) A novel women's ovulation prediction through salivary ferning using the box counting and deep learning. Bulletin of Electrical Engineering and Informatics, 13 (2). pp. 996-1006.

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Qian, Chen, Chaturvedi, Iti, Poria, Soujanya, Cambria, Erik, and Malandri, Lorenzo (2019) Learning visual concepts in images using temporal convolutional networks. In: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. 8628703. pp. 1280-1284. From: SSCI 2018: IEEE Symposium Series on Computational Intelligence, 18-21 November 2018, Bengalaru, India.

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

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

Suwanwiwat, Hemmaphan, Das, Abhijit, Ferrer, Miguel, Pal, Umapada, and Blumenstein, Michael (2018) An investigation of discrete Hidden Markov Models on handwritten short answer assessment system. In: Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence. pp. 144-149. From: ICPRAI 2018: International Conference on Pattern Recognition and Artificial Intelligence, May 14-17 2018, Montréal, Canada.

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.

Suwanwiwat, Hemmaphan, Pal, Umpanda, and Blumenstein, Michael (2016) An automatic off-line short answer assessment system using novel hybrid features. In: Proceedings of the International Conference on Digital Image Computing: Techniques and Applications. pp. 757-764. From: DICTA 2016: International Conference on Digital Image Computing: Techniques and Applications, 30 November - 2 December 2016, Gold Coast, QLD, Australia.

Suwanwiwat, Hemmaphan, Pal, Umapada, and Blumenstein, Michael (2016) An investigation of novel combined features for a handwritten short answer assessment system. In: Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition. pp. 102-107. From: ICFHR 2016: 15th International Conference on Frontiers in Handwriting Recognition, 23-26 October 2016, Shenzhen, China.

Sharifonnasbi, Fatemeh, Jhanjhi, N.Z., John, Jacob, and Nambiar, Prabhakaran Bone Age Measurement-Based on Dental Radiography, Employing a New Model. In: Lecture Notes in Networks and Systems (248) pp. 51-61. From: ICTIDS 2021: 2nd International Conference on Technology Innovation and Data Sciences, 10 & 20 February 2021, Petaling Jaya, Malaysia.

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Uddamvathanak, Rom, Feng, Yang, Xulei, Yang, Das, Ankit Kumar, Shen, Yan, Salahuddin, Mohamed, Hussain, Shaista, and Chawla, Shailey (2018) Two-stage ensemble of Deep Convolutional Neural Networks for object recognition. In: Proceedings of the IEEE International Conference on Intelligent Rail Transportation. From: ICIRT 2018: IEEE International Conference on Intelligent Rail Transportation, 12-14 December 2018, Singapore.

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Wang, Hao, Ahn, Euijoon, and Kim, Jinman (2024) A multi-resolution self-supervised learning framework for semantic segmentation in histopathology. Pattern Recognition. 110621. (In Press)

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.

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.

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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Xing, Frank, Schuller, Bjorn, Chaturvedi, Iti, Cambria, Erik, and Hussain, Amir (2023) Guest Editorial Neurosymbolic AI for Sentiment Analysis. IEEE Transactions on Affective Computing, 14 (3). pp. 1711-1715.

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Yuan, Yuan, Ahn, Euijoon, Feng, Dagan, Khadra, Mohamad, and Kim, Jinman (2023) SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI*. In: Proceedings of the 45th Auunual International Conference of the Engineering in Medicine & Biology Society. From: EMBC 2023: 45th Annual International Conference of the Engineering in Medicine & Biology Society, 24-27 July 2023, Sydney, NSW, Australia.

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.

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Zhou, Yusheng, Li, Hao, Liu, Jianan, Kong, Zhengmin, Huang, Tao, Ahn, Euijoon, Lv, Zhihan, Kim, Jinman, and Feng, David Dagan (2024) Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging. IEEE Journal of Biomedical and Health Informatics. (In Press)

Zhou, Shijia, Sridar, Pradeeba, Kennedy, Narelle June, Quinton, Anne, Ahn, Euijoon, Nanan, Ralph, and Kim, Jinman (2023) A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm. In: Proceedings of the 45th Auunual International Conference of the Engineering in Medicine & Biology Society. From: EMBC 2023: 45th Annual International Conference of the Engineering in Medicine & Biology Society, 24-27 July 2023, Sydney, NSW, Australia.

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.

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.

Zhang, Can, Du, Yang, Chen, Xiaoyang, and Lu, Dylan D.C. (2018) Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control. In: Proceedings of the IEEE International Conference on Industrial Electronics for Sustainable Energy Systems. pp. 493-498. From: IESES 2018: IEEE International Conference on Industrial Electronics for Sustainable Energy Systems, 31 January - 2 February 2018, Hamilton, New Zealand.