Biography
Alison Noble was an undergraduate and a postgraduate research student at St Hugh’s College, Oxford studying Engineering Science and Computer Vision respectively. She became a research scientist at the GE Corporate R&D Center, Schenectady NY USA following DPhil (PhD) graduation before appointment to the Oxford Engineering Science faculty in 1995. Alison Noble was elected a Professor of Engineering Science in 2002, and the Technikos Professor in Biomedical Engineering in 2011. Professor Alison Noble was the Director of the Institute of Biomedical Engineering from 2012-16 and an Associate Head of the Mathematical, Physical and Life Sciences Division at the University of Oxford, 2016-19.
Alison’s research interests are in ultrasound imaging, computational (machine-learning based) analysis of images, and the development of decision-support tools for medical professionals. Her research is motivated by clinical unmet needs in western and developing world healthcare settings. She co-founded Intelligent Ultrasound Ltd to commercial research from her laboratory which was acquired by MedaPhor Group Plc (now called Intelligent Ultrasound Group) in 2017.
Alison is a former president of the Medical Image Computing and Computer-Assisted Interventions (MICCAI) Society. She has served as a member and then Chair of the EPSRC Healthcare Technologies Strategic Advisory Team (2014-19) and a Trustee of the Institute of Engineering Technology (IET) 2016-19. She is a member of REF 2021 Subpanel 12 (Engineering). Professor Alison Noble is a Fellow of the Royal Academy and of the Royal Society, and a Trustee of the Oxford Trust. She received an OBE for services to science and engineering in the Queen's Birthday Honours list in June 2013.
Publications
View a list of Professor Noble's publications on Google Scholar, or by using her ORCID ID.
Most Recent Publications
End-to-end first trimester fetal ultrasound video automated CRL and NT segmentation
Yasrab R, Fu Z, Drukker L, Lee L, Zhao H et al. (2022), Proceedings of the 19th International Symposium on Biomedical Imaging (ISBI 2022), 1-5
Image quality assessment for machine learning tasks using meta-reinforcement learning.
Saeed SU, Fu Y, Stavrinides V, Baum ZMC, Yang Q et al. (2022), Med Image Anal, 78, 102427
International consensus on anatomical structures to identify on ultrasound for the performance of basic blocks in ultrasound-guided regional anesthesia.
Bowness JS, Pawa A, Turbitt L, Bellew B, Bedforth N et al. (2022), Regional anesthesia and pain medicine, 47(2), 106-112
Scene context-aware salient object detection
Siris A, Jiao J, Tam GKL, Xie X & Lau RWH (2022), Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 4136-4146
Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia.
Bowness JS, El-Boghdadly K, Woodworth G, Noble JA, Higham H et al. (2022), Regional anesthesia and pain medicine
Research Interests
- Biomedical imaging and image analysis
- Machine learning applied to healthcare
- Ultrasound image analysis
- Point-of-care ultrasound
- Global health technologies
Professor Noble's collaborators and research partners include:
- Nuffield Department of Women’s and Reproductive Health, University of Oxford
- Visual Geometry Group, University of Oxford
- Translational Health Science and Technology Institute (THSTI), Faridabad, India
- PRECISE Network supported by GCRF
- Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD) supported by NIAAA
- SmartHeart EPSRC programme grant
Other
For more information about Professor Noble’s research see here.
Most Recent Publications
End-to-end first trimester fetal ultrasound video automated CRL and NT segmentation
Yasrab R, Fu Z, Drukker L, Lee L, Zhao H et al. (2022), Proceedings of the 19th International Symposium on Biomedical Imaging (ISBI 2022), 1-5
Image quality assessment for machine learning tasks using meta-reinforcement learning.
Saeed SU, Fu Y, Stavrinides V, Baum ZMC, Yang Q et al. (2022), Med Image Anal, 78, 102427
International consensus on anatomical structures to identify on ultrasound for the performance of basic blocks in ultrasound-guided regional anesthesia.
Bowness JS, Pawa A, Turbitt L, Bellew B, Bedforth N et al. (2022), Regional anesthesia and pain medicine, 47(2), 106-112
Scene context-aware salient object detection
Siris A, Jiao J, Tam GKL, Xie X & Lau RWH (2022), Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 4136-4146
Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia.
Bowness JS, El-Boghdadly K, Woodworth G, Noble JA, Higham H et al. (2022), Regional anesthesia and pain medicine
Enquiries from potential postgraduate research students who have interests in any of my research areas are welcome.
Most Recent Publications
End-to-end first trimester fetal ultrasound video automated CRL and NT segmentation
Yasrab R, Fu Z, Drukker L, Lee L, Zhao H et al. (2022), Proceedings of the 19th International Symposium on Biomedical Imaging (ISBI 2022), 1-5
Image quality assessment for machine learning tasks using meta-reinforcement learning.
Saeed SU, Fu Y, Stavrinides V, Baum ZMC, Yang Q et al. (2022), Med Image Anal, 78, 102427
International consensus on anatomical structures to identify on ultrasound for the performance of basic blocks in ultrasound-guided regional anesthesia.
Bowness JS, Pawa A, Turbitt L, Bellew B, Bedforth N et al. (2022), Regional anesthesia and pain medicine, 47(2), 106-112
Scene context-aware salient object detection
Siris A, Jiao J, Tam GKL, Xie X & Lau RWH (2022), Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 4136-4146
Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia.
Bowness JS, El-Boghdadly K, Woodworth G, Noble JA, Higham H et al. (2022), Regional anesthesia and pain medicine
