Browse by UCL people
Group by: Type | Date
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.
|
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.
|
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).
|
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.
|
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).
|
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).
|
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.
|
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)
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Thesis
Pinnock, Mark A;
(2024)
Applied Deep Learning in
Interventional Computed Tomography.
Doctoral thesis (Ph.D), UCL (University College London).
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