CAI4CAI research to be presented at MICCAI 2024 - 4 full papers (including 2 early accept), one CLINICCAI oral presentation

The main MICCAI 2024 outcomes are now out and it’s a pleasure to announce that our research will be prominently featured. Congrats to the main authors from the group and all co-authors!

Main conference papers:

• Charlie Budd, and Tom Vercauteren. “Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency.”
  • Early accept preprint: https://arxiv.org/abs/2403.06683
  • Code and model: https://github.com/charliebudd/transferring-relative-monocular-depth-to-surgical-vision
• Aaron Kujawa, Reuben Dorent, Sebastien Ourselin, and Tom Vercauteren. “Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation.”
  • Early accept preprint: https://arxiv.org/abs/2404.10572
• Theodore Barfoot, Luis Garcia-Peraza-Herrera, Ben Glocker, and Tom Vercauteren. “Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation.”
  • Preprint: https://arxiv.org/abs/2403.06759
  • Code: https://github.com/cai4cai/ACE-DLIRIS
• Qi Li, Ziyi Shen, Qianye Yang, Dean Barratt, Matthew Clarkson, Tom Vercauteren and Yipeng Hu.“Nonrigid Reconstruction of Freehand Ultrasound without a Tracker.”

CLINICCAI oral presentation:

• N.A. Cavalcanti, F. Carrillo, R. Li, K. van Assche, A. Davoodi, M. Tummers, M. Huber, F. Teyssere, J.A. Perez Velásquez, A. Massalimova, C.J. Laux, R. Sutter, M. Farshad, G. Borghesan, K. Denis, G. Morel, T. Chandanson, T. Vercauteren, E. Vander Poorten, P. Fürnstahl. “Bridging innovation and practice: the journey of FAROS from technical design to in-vivo animal validation”

Contribution to satelite events:

• Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier Villanueva-Meyer et al. “Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.”
  • Preprint: https://arxiv.org/abs/2405.18383
• TUS-REC Challenge
  • Website: https://github-pages.ucl.ac.uk/tus-rec-challenge/