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2023

Conference Publication

Uncertainty-guided cross-modality semi-supervised learning for MRI segmentation

Li, Chaoyi and Lovell, Brian C. (2023). Uncertainty-guided cross-modality semi-supervised learning for MRI segmentation. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW, Australia, 28 November - 1 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/dicta60407.2023.00018

Uncertainty-guided cross-modality semi-supervised learning for MRI segmentation

2023

Conference Publication

Knowing the unknown: open-set bacteria classification in gram stain microscopic images

Alhammad, Sarah and Lovell, Brian C. (2023). Knowing the unknown: open-set bacteria classification in gram stain microscopic images. 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, QLD, Australia, 18-23 June 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ijcnn54540.2023.10191073

Knowing the unknown: open-set bacteria classification in gram stain microscopic images

2023

Conference Publication

Dynamic curriculum learning via in-domain uncertainty for medical image classification

Li, Chaoyi, Li, Meng, Peng, Can and Lovell, Brian C. (2023). Dynamic curriculum learning via in-domain uncertainty for medical image classification. MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, 8-12 October 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-43904-9_72

Dynamic curriculum learning via in-domain uncertainty for medical image classification

2023

Conference Publication

End to end generative meta curriculum learning for medical data augmentation

Li, Meng, Li, Chaoyi, Peng, Can, Liu, Liangchen and Lovell, Brian (2023). End to end generative meta curriculum learning for medical data augmentation. 30th IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 8-11 October 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICIP49359.2023.10222093

End to end generative meta curriculum learning for medical data augmentation

2022

Conference Publication

MedViTGAN: end-to-end conditional GAN for histopathology image augmentation with vision transformers

Li, Meng, Li, Chaoyi, Hobson, Peter, Jennings, Tony and Lovell, Brian C. (2022). MedViTGAN: end-to-end conditional GAN for histopathology image augmentation with vision transformers. 26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA), Montreal, Canada, 21-25 August 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icpr56361.2022.9956431

MedViTGAN: end-to-end conditional GAN for histopathology image augmentation with vision transformers

2022

Conference Publication

Efficient cell labelling for gram stain WSIs

Alhammad, Sarah, Zhang, Teng, Zhao, Kun, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2022). Efficient cell labelling for gram stain WSIs. 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 21-25 August 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icpr56361.2022.9956490

Efficient cell labelling for gram stain WSIs

2022

Conference Publication

Few-Shot Class-Incremental Learning from an Open-Set Perspective

Peng, Can, Zhao, Kun, Wang, Tianren, Li, Meng and Lovell, Brian C. (2022). Few-Shot Class-Incremental Learning from an Open-Set Perspective. 17th European Conference on Computer Vision - ECCV 2022, Tel Aviv, Israel, 23–27 October 2022. Cham, Switzlerland: Springer Nature. doi: 10.1007/978-3-031-19806-9_22

Few-Shot Class-Incremental Learning from an Open-Set Perspective

2021

Conference Publication

Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology

Alhammad, Sarah, Zhao, Kun, Jennings, Anthony, Hobson, Peter, Smith, Daniel F., Baker, Brett, Staweno, Justin and Lovell, Brian C. (2021). Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology. 2021 Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD Australia, 29 November - 1 December 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta52665.2021.9647415

Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology

2021

Conference Publication

Minimizing labeling cost for nuclei instance segmentation and classification with cross-domain images and weak labels

Yang, Siqi, Zhang, Jun, Huang, Junzhou, Lovell, Brian C. and Han, Xiao (2021). Minimizing labeling cost for nuclei instance segmentation and classification with cross-domain images and weak labels. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual, 2-9 February 2021. Menlo Park, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i1.16150

Minimizing labeling cost for nuclei instance segmentation and classification with cross-domain images and weak labels

2021

Conference Publication

Boundary guided image translation for pose estimation from ultra-low resolution thermal sensor

Kurihara, Kohei, Wang, Tianren, Zhang, Teng and Lovell, Brian C. (2021). Boundary guided image translation for pose estimation from ultra-low resolution thermal sensor. 25th International Conference on Pattern Recognition (ICPR), Online, 10-15 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPR48806.2021.9412250

Boundary guided image translation for pose estimation from ultra-low resolution thermal sensor

2021

Conference Publication

Deep adaptive few example learning for microscopy image cell counting

Li, Meng, Zhao, Kun, Peng, Can, Hobson, Peter, Jennings, Tony and Lovell, Brian C. (2021). Deep adaptive few example learning for microscopy image cell counting. 2021 Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD, Australia, 29 November - 1 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/DICTA52665.2021.9647246

Deep adaptive few example learning for microscopy image cell counting

2021

Conference Publication

Minimizing labeling cost for nuclei instance segmentation and classification with cross-domain images and weak labels

Yang, Siqi, Zhang, Jun, Huang, Junzhou, Lovell, Brian C. and Han, Xiao (2021). Minimizing labeling cost for nuclei instance segmentation and classification with cross-domain images and weak labels. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, Electr Network, 2-9 February 2021. Washington, DC, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i1.16150

Minimizing labeling cost for nuclei instance segmentation and classification with cross-domain images and weak labels

2021

Conference Publication

Faces à la carte: Text-to-face generation via attribute disentanglement

Wang, Tianren, Zhang, Teng and Lovell, Brian (2021). Faces à la carte: Text-to-face generation via attribute disentanglement. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-8 January 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV48630.2021.00342

Faces à la carte: Text-to-face generation via attribute disentanglement

2021

Conference Publication

Unsupervised domain adaptive object detection using forward-backward cyclic adaptation

Yang, Siqi, Wu, Lin, Wiliem, Arnold and Lovell, Brian C. (2021). Unsupervised domain adaptive object detection using forward-backward cyclic adaptation. 15th Asian Conference on Computer Vision, Kyoto, Japan, 30 November-4 December 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-69535-4_8

Unsupervised domain adaptive object detection using forward-backward cyclic adaptation

2020

Conference Publication

SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification

Maksoud, Sam, Zhao, Kun, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2020). SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA United States, 13-19 June 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/cvpr42600.2020.00392

SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification

2019

Conference Publication

Early experience of depth estimation on intricate objects using generative adversarial networks

San, Wai Y. K., Zhang, Teng, Chen, Shaokang, Wiliem, Arnold, Stefanelli, Dario and Lovell, Brian C. (2019). Early experience of depth estimation on intricate objects using generative adversarial networks. 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, Canberra, ACT, Australia, 10-13 December 2018. New York, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2018.8615783

Early experience of depth estimation on intricate objects using generative adversarial networks

2019

Conference Publication

Deep-learning from mistakes: automating cloud class refinement for sky image segmentation

Dianne, Gemma, Wiliem, Arnold and Lovell, Brian C. (2019). Deep-learning from mistakes: automating cloud class refinement for sky image segmentation. 2019 Digital Image Computing: Techniques and Applications, DICTA 2019, Perth, WA, Australia, 2-4 December 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA47822.2019.8946028

Deep-learning from mistakes: automating cloud class refinement for sky image segmentation

2019

Conference Publication

Cannygan: Edge-Preserving Image Translation with Disentangled Features

Wang, Tianren, Zhang, Teng, Liu, Liangchen, Wiliem, Arnold and Lovell, Brian (2019). Cannygan: Edge-Preserving Image Translation with Disentangled Features. 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICIP.2019.8803828

Cannygan: Edge-Preserving Image Translation with Disentangled Features

2019

Conference Publication

CORAL8: Concurrent object regression for area localization in medical image panels

Maksoud, Sam, Wiliem, Arnold, Zhao, Kun, Zhang, Teng, Wu, Lin and Lovell, Brian (2019). CORAL8: Concurrent object regression for area localization in medical image panels. MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention, Shenzhen, China, 13-17 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-32239-7_48

CORAL8: Concurrent object regression for area localization in medical image panels

2019

Conference Publication

DGDI: a dataset for detecting glomeruli on renal direct immunofluorescence

Zhao, Kun, Tang, Yu Ji Jerry, Zhang, Teng, Carvajal, Johanna, Smith, Daniel F., Wiliem, Arnold, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2019). DGDI: a dataset for detecting glomeruli on renal direct immunofluorescence. 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, Canberra, ACT, Australia, 10-13 December 2018. New York, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2018.8615769

DGDI: a dataset for detecting glomeruli on renal direct immunofluorescence