Jiaqi Lv

Personal Info

I am a 3rd year PhD student under the supervision of Dr Shan Raza.

I graduated with an MEng degree in Computer Science from the University of Warwick in 2023.

Email: jiaqi.lv@warwick.ac.uk

Office: CS3.02, Department of Computer Science

Research Interests

I'm interested in the development and application of deep learning for the analysis of the tumour micro-environment.

Research Projects

Some of my projects:

• Segmentation of Blood Vessels from H&E Stained Whole-Slide Images.
• Automated Assessment of Tumour-Infiltrating Lymphocytes from H&E Whole-Slide Images.
• MONKEY Grand Challenge:Link opens in a new window Lymphocytes and Monocytes Detection from PAS-Stained Whole-Slide Images. Led the TIAKong team to achieve 1st place in overall detection and 2nd place in subtype classification.
• PUMA Grand Challenge:Link opens in a new window Tissue segmentation and Cell Detection from H&E Images of Advanced Melanoma. Led the TIAKong team to achieve 1st place in Track 1 and joint 1st place in Track 2.
• 2025 MIDOG Grand Challenge: Mitosis Detection from H&E Images. Co-Led the TIAKong team to achieve 1st place in mitosis detection and 2nd place in atypical mitotic figures classification.
• Chimera Grand Challenge: Contributed to TIA-Pegasus team to achieve 1st place in track 1 prostate cancer biochemical recurrence prediction.

Other Interests

I am also interesting in varies software and web applications development.

I have been contributing to the TIAToolBox, a computational pathology toolbox.

Publications

• J. Lv, S. S. Antonowicz and S. E. A. Raza, "Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images", 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), Houston, TX, USA, 2025, pp. 1-5, doi: 10.1109/ISBI60581.2025.10980962.

• Lv, J., Zhu, Y., Tenorio, C.G.C., Chohan, B.S., Eastwood, M., Raza, S.E.A. (2026). "Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images", Medical Image Understanding and Analysis. MIUA 2025. Lecture Notes in Computer Science, vol 15916. Springer, Cham. https://doi.org/10.1007/978-3-031-98688-8_5

• Esha Sadia Nasir, Jiaqi Lv, Mostafa Jahanifar, Shan E Ahmed Raza, "MitoDetect++: A Domain-Robust Pipeline for Mitosis Detection and Atypical Subtyping", https://arxiv.org/abs/2509.02586
• Noorul Wahab, Ethar Alzaid, Jiaqi Lv, Fayyaz Minhas, Adam Shephard, Shan E Ahmed Raza, "ModalSurv: Investigating opportunities and limitations of multimodal deep survival learning in prostate and bladder cancer", https://arxiv.org/abs/2509.05037
• Jiaqi Lv, Esha Sadia Nasir, Kesi Xu, Mostafa Jahanifar, Brinder Singh Chohan, Behnaz Elhaminia, Shan E Ahmed Raza, "KongNet: A Multi-headed Deep Learning Model for Detection and Classification of Nuclei in Histopathology Images", https://arxiv.org/abs/2510.23559.

• Mark Schuiveling, Hong Liu, Daniel Eek, et al., "Associations between spatial distribution of immune cell subsets and clinical outcomes in patients with advanced melanoma treated with immune checkpoint inhibitors: results from the PUMA challenge", https://www.medrxiv.org/content/10.64898/2026.03.09.26347935v1

Teaching Assistant

2022-2023:

• CS118 Programming for Computer Scientists
• CS126 Design of Information Structures

2023-2024:

• CS262 Logic and Verification

• CS435/CS915 Advanced Computer Security

• CS424/CS904 Computational Biology

2024-2025:

• CS435/CS915 Advanced Computer Security

• CS324 Computer Graphics

• CS424/CS904: Computational Biology

2025-2026:

• CS435/CS915 Advanced Computer Security
• CS424/CS904 Computational Biology