Skip to menu Skip to content Skip to footer

2024

Journal Article

Domain-aware triplet loss in domain generalization

Guo, Kaiyu and Lovell, Brian C. (2024). Domain-aware triplet loss in domain generalization. Computer Vision and Image Understanding, 243 103979, 103979. doi: 10.1016/j.cviu.2024.103979

Domain-aware triplet loss in domain generalization

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

Journal Article

Antisunward streaming westward Sub‐Auroral Ion Drifts (SAID) developed in the postmidnight (1‐4) magnetic local time sector during 2013

Horvath, Ildiko and Lovell, Brian C. (2023). Antisunward streaming westward Sub‐Auroral Ion Drifts (SAID) developed in the postmidnight (1‐4) magnetic local time sector during 2013. Journal of Geophysical Research: Space Physics, 128 (9) e2023JA031808. doi: 10.1029/2023ja031677

Antisunward streaming westward Sub‐Auroral Ion Drifts (SAID) developed in the postmidnight (1‐4) magnetic local time sector during 2013

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

Journal Article

DIODE: dilatable incremental object detection

Peng, Can, Zhao, Kun, Maksoud, Sam, Wang, Tianren and Lovell, Brian C. (2023). DIODE: dilatable incremental object detection. Pattern Recognition, 136 109244, 109244. doi: 10.1016/j.patcog.2022.109244

DIODE: dilatable incremental object detection

2023

Journal Article

Sub‐Auroral Ion Drifts (SAID) Developed Over the Northern Winter Hemisphere at Dawn During 2016–2017

Horvath, Ildiko and Lovell, Brian C. (2023). Sub‐Auroral Ion Drifts (SAID) Developed Over the Northern Winter Hemisphere at Dawn During 2016–2017. Journal of Geophysical Research: Space Physics, 128 (4) e2022JA031228, 1-18. doi: 10.1029/2022ja031228

Sub‐Auroral Ion Drifts (SAID) Developed Over the Northern Winter Hemisphere at Dawn During 2016–2017

2023

Journal Article

Subauroral flows and associated magnetospheric and ionospheric phenomena developed during 7‐8 September 2017

Horvath, Ildiko and Lovell, Brian C. (2023). Subauroral flows and associated magnetospheric and ionospheric phenomena developed during 7‐8 September 2017. Journal of Geophysical Research: Space Physics, 128 (3) e2022JA030966, 1-20. doi: 10.1029/2022ja030966

Subauroral flows and associated magnetospheric and ionospheric phenomena developed during 7‐8 September 2017

2023

Journal Article

Abnormal Sub‐Auroral Ion Drifts (ASAID) developed in various inner‐magnetosphere configurations at geomagnetically quiet times

Horvath, Ildiko and Lovell, Brian C. (2023). Abnormal Sub‐Auroral Ion Drifts (ASAID) developed in various inner‐magnetosphere configurations at geomagnetically quiet times. Journal of Geophysical Research: Space Physics, 128 (1) ARTN e2022JA031004, 1-19. doi: 10.1029/2022ja031004

Abnormal Sub‐Auroral Ion Drifts (ASAID) developed in various inner‐magnetosphere configurations at geomagnetically quiet times

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

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

2022

Journal Article

Duskside sub‐auroral polarization streams (SAPS) and dawnside subauroral flows during the magnetically quiet 24 November and moderately active 25–27 November 2008

Horvath, Ildiko and Lovell, Brian C. (2022). Duskside sub‐auroral polarization streams (SAPS) and dawnside subauroral flows during the magnetically quiet 24 November and moderately active 25–27 November 2008. Journal of Geophysical Research: Space Physics, 127 (12) ARTN e2022JA030609. doi: 10.1029/2022ja030609

Duskside sub‐auroral polarization streams (SAPS) and dawnside subauroral flows during the magnetically quiet 24 November and moderately active 25–27 November 2008

2022

Journal Article

Newly formed dawnside, duskside, and nightside subauroral flows developed during magnetically active times

Horvath, Ildiko and Lovell, Brian C. (2022). Newly formed dawnside, duskside, and nightside subauroral flows developed during magnetically active times. Journal of Geophysical Research: Space Physics, 127 (10) e2021JA030215, 1-21. doi: 10.1029/2021ja030215

Newly formed dawnside, duskside, and nightside subauroral flows developed during magnetically active times

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

Journal Article

SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation

Peng, Can, Zhao, Kun, Maksoud, Sam, Li, Meng and Lovell, Brian C. (2021). SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation. Computer Vision and Image Understanding, 210 103229, 103229. doi: 10.1016/j.cviu.2021.103229

SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation

2021

Journal Article

Investigating the coupled Magnetosphere‐Ionosphere‐Thermosphere (M‐I‐T) system’s responses to the 20 November 2003 superstorm

Horvath, Ildiko and Lovell, Brian C. (2021). Investigating the coupled Magnetosphere‐Ionosphere‐Thermosphere (M‐I‐T) system’s responses to the 20 November 2003 superstorm. Journal of Geophysical Research: Space Physics, 126 (9) e2021JA029215. doi: 10.1029/2021ja029215

Investigating the coupled Magnetosphere‐Ionosphere‐Thermosphere (M‐I‐T) system’s responses to the 20 November 2003 superstorm

2021

Journal Article

Subauroral flow channel structures and auroral undulations triggered by Kelvin‐Helmholtz waves

Horvath, Ildiko and Lovell, Brian C. (2021). Subauroral flow channel structures and auroral undulations triggered by Kelvin‐Helmholtz waves. Journal of Geophysical Research: Space Physics, 126 (6) e2021JA029144. doi: 10.1029/2021ja029144

Subauroral flow channel structures and auroral undulations triggered by Kelvin‐Helmholtz waves

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