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
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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
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Addressing the Key Computational Challenges in Digital Pathology
Cong, T. (Primary Chief Investigator), Liu, S. (Chief Investigator), Song, Y. (Chief Investigator) & Dorricott, P. (Other)
1/07/24 → 30/06/27
Project: Research
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Generative Artificial Intelligence for Synthetic Medical Imaging
Liu, S. (Primary Chief Investigator), Rana, P. (Chief Investigator), Cong, T. (Chief Investigator), Li, X. (Associate Investigator), Zhong, W. (Associate Investigator), Tabassum, M. (Associate Investigator) & Dorricott, P. (Other)
1/07/24 → 30/06/27
Project: Research
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AI-Assisted Digital Histopathology Image Computing for Tumor Diagnosis
Liu, S. (Primary Chief Investigator), Song, Y. (Chief Investigator), Di Ieva, A. (Chief Investigator), Cong, T. (Associate Investigator) & Jose, L. (Associate Investigator)
1/01/21 → 31/12/23
Project: Research
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Federated learning pipeline for whole-slide image classification in digital neuropathology
Cong, C., Di Ieva, A. & Liu, S., 2026, Computational Neuroscience. Di Ieva, A. & Davidson, J. M. (eds.). New York: Humana Press, p. 233-248 16 p. (Methods in Molecular Biology; vol. 3062).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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FedWSIDD: federated Whole Slide Image Classification via dataset distillation
Jin, H., Liu, S., Cong, C., Feng, Q., Liu, Y., Huang, L. & Hu, Y., 2026, Medical Image Computing and Computer Assisted Intervention - MICCAI 2025: 28th International Conference. Proceedings, Part XIV. Gee, J. C., Alexander, D. C., Hong, J., Iglesias, J. E., Sudre, C. H., Venkataraman, A., Golland, P., Kim, J. H. & Park, J. (eds.). Cham: Springer Nature Switzerland AG, p. 178-188 11 p. (Lecture Notes in Computer Science; vol. 15973).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
3 Link opens in a new tab Citations (Scopus) -
Flexible and scalable federated learning with deep feature prompts for digital pathology
Cong, C., Song, Y., Di Ieva, A., Chou, A., Gill, A. J., Coiera, E. & Liu, S., 14 May 2026, In: npj Digital Medicine. 9, 1, p. 1-15 15 p., 578.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Flexible and scalable federated learning with deep feature prompts for digital pathology
Cong, C., Song, Y., Di Ieva, A., Chou, A., J. Gill, A., Coiera, E. & Liu, S., 14 May 2026, In: npj Digital Medicine. 9, 1, p. 1-15 15 p., 578.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)2 Downloads (Pure) -
FMM-Diff: a feature mapping and merging diffusion model for MRI generation with missing modality
Zhong, W., Cong, C., Wang, Z., Yan, Z., Di Ieva, A. & Liu, S., 2026, Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference. Proceedings, Part XVI. Gee, J. C., Alexander, D. C., Hong, J., Iglesias, J. E., Sudre, C. H., Venkataraman, A., Golland, P., Kim, J. H. & Park, J. (eds.). Switzerland: Springer, Springer Nature, p. 227-236 10 p. (Lecture Notes in Computer Science; vol. 15975).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
1 Link opens in a new tab Citation (Scopus)
Prizes
Activities
- 1 Organising a conference, workshop or event series
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AI in Medical Imaging
Cong, T. (Organiser)
20 Feb 2024Activity: Participating in or organising an event › Organising a conference, workshop or event series