Posts

• Focus: Translational research on hyperspectral-based quantitative fluorescence imaging linked with a neurosurgery clinical study
• Line manager: Tom Vercauteren
• Clinical collaborator: King’s College Hospital
• Industry collaborator: Hypervision Surgical
• Salary: Grade 6, £38,826 - £45,649 per annum, including London Weighting Allowance

• Focus: Real-time learning-based processing of hyperspectral imaging and its integration in complex robotic systems
• Line manager: Tom Vercauteren
• Related research project: FAROS
• Salary: Grade 6, £38,826 - £45,649 or Grade 7, £46,934 - £50,919 per annum, including London Weighting Allowance

• Title: Joint learning of stereo vision reconstruction and hyperspectral imaging upsampling for binocular surgical guidance
• First supervisor: Tom Vercauteren
• Second supervisor: Christos Bergeles
• Clinical Supervisor: Jonathan Shapey
• Start date: October 2022

• Title: Exploiting multi-task learning for endoscopic vision in robotic surgery
• First supervisor: Miaojing Shi
• Second supervisor: Tom Vercauteren
• Clinical Supervisor: Asit Arora
• Start date: October 2022

Project summary

Multi-task learning is common in deep learning, where clear evidence shows that jointly learning correlated tasks can improve on individual performances. Notwithstanding, in reality, many tasks are processed independently. The reasons are manifold:

CAI4CAI will be presenting their work at MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer Assisted Intervention, held from 27 September to 1 October 2021 as a virtual event.

Join us at the IEEE International Ultrasonics Symposium where CAI4CAI members will present their work.

Christian Baker will be presenting on “Real-Time Ultrasonic Tracking of an Intraoperative Needle Tip with Integrated Fibre-optic Hydrophone” as part of the Tissue Characterization & Real Time Imaging (AM) poster session.

Join us for the TRABIT conference (7-10 Sept 2021) with outstanding speakers and fun networking events. Registration is free but mandatory.

You can check all the videos made by the PhD students of TRABIT to present their research projects on youtube.

CAI4CAI members are contributing to guest editing the Medical Image Analysis Special Issue on Explainable and Generalizable Deep Learning Methods for Medical Image Computing. The final submission dealine is on December 1, 2021 but papers will be reviewed as they arrive.