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. (In Press)

Kong, Zhengmin, Ouyang, Hui, Cao, Yiyuan, Huang, Tao, Ahn, Euijoon, Zhang, Maoqi, and Liu, Hunan (2023) Automated periodontitis bone loss diagnosis in panoramic radiographs using a bespoke two-stage detector. Computers in Biology and Medicine, 152. 106374.

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, Shijia, Ahn, Euijoon, Wang, Hao, Quinton, Ann, Kennedy, Narelle, Sridar, Pradeeba, Nanan, Ralph, and Kim, Jinman (2023) Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. In: Lecture Notes in Computer Science (14226) pp. 283-292. From: MICCAI 2023: 26th International Conference on Medical Image Computing and Computer Assisted Intervention, 8-12 October 2023, Vancouver, Canada.

Napier, Thomas, Ahn, Euijoon, Allen-Ankins, Slade, and Lee, Ickjai (2023) An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification. In: Lecture Notes in Computer Science (14471) pp. 468-479. From: AI 2023: 36th Australasian Joint Conference on Artificial Intelligence, 28 November - 1 December 2023, Brisbane, QLD, Australia.

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.

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.

Wang, Hao, Ahn, Euijoon, and Kim, Jinman (2022) Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (36) From: AAAI-22: 36th AAAI Conference on Artificial Intelligence, 22 February - 1 March 2022, Virtual.

Ahn, Euijoon, Liu, Na, Parekh, Tej, Patel, Ronak, Baldacchino, Tanya, Mullavey, Tracy, Robinson, Amanda, and Kim, Jinman (2021) A mobile app and dashboard for early detection of infectious disease outbreaks: development study. JMIR Public Health and Surveillance, 7 (3). e14837.

Ahn, Euijoon, Feng, Dagan, and Kim, Jinman (2021) A spatial guided self-supervised clustering network for medical image segmentation. In: Lecture Notes in Computer Science (12901) pp. 379-388. From: MICCAI 2021: International Conference on Medical Image Computing and Computer-Assisted Intervention, 27 September - 1 October 2021, Strasbourg, France.

Guo, Yuyu, Bi, Lei, Ahn, Euijoon, Feng, Dagan, Wang, Quian, and Kim, Jinman (2020) A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4725-4734. From: CVPR 2020: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 13-19 June 2020, Seattle, WA, USA.

Ahn, Euijoon, Kumar, Ashnil, Fulham, Michael, Feng, Dagan, and Kim, Jinman (2020) Unsupervised domain adaptation to classify medical images using zero-bias convolutional auto-encoders and context-based feature augmentation. IEEE Transactions on Medical Imaging, 39 (7). pp. 2385-2394.

Ahn, Euijoon, Kumar, Ashnil, Fulham, Michael, Feng, Dagan, and Kim, Jinman (2019) Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Analysis, 56. pp. 140-151.

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.

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, Rahman, Khairunnessa, Baldacchino, Tanya, and Baird, Christine (2018) Development of a risk predictive scoring system to identify patients at risk of representation to emergency department: a retrospective population-based analysis in Australia. BMJ Open, 8. e021323.

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.

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.

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.

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.