2026

April

  • We are excited to announce that our paper, "Can LLM-Generated Text Empower Surgical Vision-Language Pre-training?", has been accepted to the AI4RWC Workshop at CVPR 2026! We are especially proud that it has been selected for an Oral Presentation. You can read the preprint on arXiv.

    🎤 Oral Presentation
March

  • Our latest research on trustworthy AI in healthcare, "Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation," has just been published in IEEE Transactions on Medical Imaging. This work introduces a novel approach to improve the reliability of uncertainty estimates in medical vision models—a critical step toward safe and effective clinical deployment. You can read the full paper here!

February

  • We are thrilled to announce that three of our papers—BTTF, PL-Stitch, and LEMON—have been accepted to CVPR 2026. Huge congratulations to the entire team!

2025

November

  • Our AIRR Gateway Project, "Optimising Video Counterfactual Explanation Generation for Trusted AI," has been awarded a massive 10,000 GPU hours on the prestigious Isambard-AI AIRR supercomputing service.

October

  • A warm welcome to Jiayuan Huang, who officially joins the VISURG group as a PhD student!

  • Massive congratulations to Dr. Nikolay Manchev for successfully passing his PhD viva with minor corrections.

June
April
March

  • We are excited to welcome two new PhD students to the lab: Xinyue Chen and Zijian Zhou. Great to have you both on board!

January

  • Our new paper on surgical phase segmentation, developed in collaboration with CAI4CAI, has been officially published in Medical Image Analysis (MedIA).

2024

September

  • A warm welcome to Chao Wang, who joins the research group as a new PhD student.

June

  • Our latest paper addressing reliability in image segmentation has been published, marking a successful collaboration with CAI4CAI and BioMedIA.

  • We had the pleasure of hosting Lucas Fidon, Senior Data Scientist at Owkin, for an insightful guest lecture. His presentation on Foundation Models for Computational Pathology sparked fantastic discussions within our team. Thank you, Lucas, for sharing your expertise!

2023

October

  • Dr. Garcia Peraza Herrera was recently featured in an interview series highlighting new academic staff in the Faculty of Natural, Mathematical & Engineering Sciences at KCL.

  • Dr. Garcia Peraza Herrera has been appointed as a member of the EPSRC Peer Review College.

  • We are delighted to welcome Chengan Che, who has joined the group as our newest PhD student.

September