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Number of items: 9.

Article

Pinnock, Mark A; Hu, Yipeng; Bandula, Steve; Barratt, Dean C; (2023) Multi-phase synthetic contrast enhancement in interventional computed tomography for guiding renal cryotherapy. International Journal of Computer Assisted Radiology and Surgery , 18 pp. 1437-1449. 10.1007/s11548-023-02843-z. Green open access
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Saeed, Shaheer U; Ramalhinho, João; Pinnock, Mark; Shen, Ziyi; Fu, Yunguan; Montaña-Brown, Nina; Bonmati, Ester; ... Hu, Yipeng; + view all (2024) Active learning using adaptable task-based prioritisation. Medical Image Analysis , 95 , Article 103181. 10.1016/j.media.2024.103181. Green open access
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Thieme, Anja; Rajamohan, Abhijith; Cooper, Benjamin; Groombridge, Heather; Simister, Robert; Wong, Barney; Woznitza, Nicholas; ... Jacob, Joseph; + view all (2025) Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. ACM Transactions on Computer-Human Interaction 10.1145/3716500. (In press). Green open access
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Proceedings paper

Pinnock, Mark A; Hu, Yipeng; Bainbridge, Alan; Atkinson, David; Mookerjee, Rajeshwar P; Taylor, Stuart A; Barratt, Dean C; (2021) Deep learning-based detection of liver disease using MRI. In: Block, Walter F and Jones, Derek K and Boiteaux,, Sonja K, (eds.) ISMRM Annual Meeting Proceedings 2021. (pp. p. 2988). ISMRM: Concord, CA, USA. Green open access
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Pinnock, M; Hu, Y; Bandula, S; Barratt, D; (2021) End-to-end forecasting of needle trajectory in percutaneous ablation. In: (Proceedings) SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling. International Society for optics and Photonics (In press). Green open access
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Pinnock, M; Hu, Y; Bandula, S; Barratt, D; (2021) Combined 3D super-resolution, de-noising and partial volume correction for percutaneous ablation. In: (Proceedings) SPIE Medical Imaging: Image Processing. International society for optics and photonics (In press). Green open access
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Saeed, SU; Taylor, ZA; Pinnock, MA; Emberton, M; Barratt, DC; Hu, Y; (2020) Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes. In: Martel, AL and Abolmaesumi, P and Stoyanov, D and Mateus, D and Zuluaga, MA and Zhou, SK and Racoceanu, D and Joskowicz, L, (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV. (pp. pp. 650-659). Springer: Cham, Switzerland. Green open access
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Yildirim, Nur; Richardson, Hannah; Wetscherek, Maria Teodora; Bajwa, Junaid; Jacob, Joseph; Pinnock, Mark Ames; Harris, Stephen; ... Thieme, Anja; + view all (2024) Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. In: Proceedings of the CHI Conference on Human Factors in Computing Systems. (pp. pp. 1-22). ACM (Association for Computing Machinery) Green open access
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Thesis

Pinnock, Mark A; (2024) Applied Deep Learning in Interventional Computed Tomography. Doctoral thesis (Ph.D), UCL (University College London). Green open access
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