Projects per year
Personal profile
Biography
Cong did his PhD degree in Computer Science from the University of New South Wales from 2020 to 2024.
During his PhD candidature, he received the "Norman Foo Memorial Best Research Paper Prize" in 2023 and the "Reviewer of the Month" from the Journal of Medical Artificial Intelligence in 2023.
His PhD study primarily focuses on the preprocessing step, particularly on stain normalization of histopathology images, and downstream histopathology image classification.
Research interests
I am particularly interested in applying computer vision-related approaches to solve tasks related to medical imaging. My research interests include stain normalization, class imbalance learning, and prompt-based learning.
Education/Academic qualification
Computer Science, PhD, University of New South Wales
1 Jun 2020 → 20 Jun 2024
Award Date: 20 Jun 2024
Computer science, Master of IT, University of New South Wales Sydney
Award Date: 30 Nov 2019
External positions
Tutor, University of New South Wales Sydney
Jun 2023 → Dec 2023
Teaching Assistant, Carnegie Mellon University
Aug 2019 → Oct 2019
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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AI-Assisted Digital Histopathology Image Computing for Tumor Diagnosis
Liu, S., Song, Y., Di Ieva, A., Cong, T. & Jose, L.
1/01/21 → 31/12/23
Project: Research
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Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification
Cong, C., Liu, S., Rana, P., Pagnucco, M., Di Ieva, A., Berkovsky, S. & Song, Y., 1 Oct 2024, In: Expert Systems with Applications. 251, p. 1-13 13 p., 123783.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)117 Downloads (Pure) -
Computer vision in digital neuropathology
Cong, C., Liu, S., Di Ieva, A., Russo, C., Suero Molina, E., Pagnucco, M. & Song, Y., 2024, Computational neurosurgery. Di Ieva, A., Suero Molina, E., Liu, S. & Russo, C. (eds.). Switzerland: Springer, Springer Nature, p. 123-138 16 p. (Advances in Experimental Medicine and Biology; vol. 1462).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Computer vision in histopathology image analysis: preprocessing and classification
Cong, T., 2024, (Unpublished) 202 p.Research output: Thesis › Doctoral Thesis
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Correction-based Defense Against Adversarial Video Attacks via Discretization-Enhanced Video Compressive Sensing
Song, W., Cong, C., Zhong, H. & Xue, J., 2024, 33rd USENIX Security Symposium (USENIX Security 24). United States: USENIX Association, p. 3603-3620 18 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Dataset distillation for histopathology image classification
Cong, C., Xuan, S., Liu, S., Pagnucco, M., Zhang, S. & Song, Y., 19 Aug 2024, (Submitted) 22 p. (arXiv).Research output: Working paper › Preprint
Prizes
Activities
- 1 Organising a conference, workshop or event series
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AI in Medical Imaging
Thomas Cong (Organiser)
20 Feb 2024Activity: Participating in or organising an event › Organising a conference, workshop or event series