Research output per year
Research output per year
Personal profile
Research interests
Elaine is a research fellow based in the Division of Informatics, Imaging and Data Sciences. She currently works on REVAL a rapid service evaluation team based at the University of Manchester. REVAL is funded by the NIHR and is commissioned to carry out independent evaluations of services within the NHS.
Teaching
Joint supervisor for two split-site PhD students.
Teaching literature review and presentation skills on the Masters of Medical Imaging.
Supervisor for 3rd year medical student APEP projects.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Beacons, Institutes and Platforms
- Digital Futures
- Christabel Pankhurst Institute
- Healthier Futures
Fingerprint
Dive into the research topics where Elaine Harkness is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Breast density prediction from low and standard dose mammograms using deep learning: effect of image resolution and model training approach on prediction quality
Squires, S., Harkness, E. F., Mackenzie, A., Evans, D. G., Howell, S. J. & Astley, S. M., 15 May 2024, In: Biomedical Physics & Engineering Express . 10, 4, 045021.Research output: Contribution to journal › Article › peer-review
Open Access -
Evaluation of enhanced midwifery continuity of carer. REVAL Insights Report
Gillibrand, S., Dumville, J., Wilson, P., Kletter, M. & Harkness, E., 5 Sept 2024, 33 p.Research output: Book/Report › Other report › peer-review
Open AccessFile47 Downloads (Pure) -
Evaluation of the enhanced midwifery continuity of carer model
Gillibrand, S., Dumville, J., Wilson, P., Kletter, M. & Harkness, E., 2 Aug 2024, 33 p.Research output: Book/Report › Other report › peer-review
-
Initial signals of impact from the urgent and emergency care 10 high-impact initiatives
Kletter, M., Harkness, E., Dumville, J. & Wilson, P., 30 Apr 2024, 12 p.Research output: Book/Report › Other report › peer-review
-
A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
CTS Consortium, 9 Aug 2023, In: Breast cancer research : BCR. 25, 1, 93.Research output: Contribution to journal › Article › peer-review
Open Access
Activities
-
The Effect of Radiographic Parameters on Measurement of Change in Breast Density
Elaine Harkness (Speaker)
5 Nov 2017 → 7 Nov 2017Activity: Talk or presentation › Oral presentation › Research
-
The Impact of Weight Change from Age 20 to Age at Breast Screening on Mammographic Density
Elaine Harkness (Speaker)
5 Nov 2017 → 7 Nov 2017Activity: Talk or presentation › Oral presentation › Research
-
European Journal of Radiology (Journal)
Elaine Harkness (Peer reviewer of publications)
5 Aug 2017Activity: Publication peer-review and editorial work › Publication peer-review › Research
-
A comparison of four methods of mammographic density measurement in the UK Predicting Risk Of Cancer At Screening (PROCAS) study − on behalf of the PROCAS Study team
Elaine Harkness (Speaker)
9 Jul 2016 → 12 Jul 2016Activity: Talk or presentation › Oral presentation › Research
-
International Workshop on Digital Mammography
Elaine Harkness (Poster presenter)
19 Jun 2016 → 22 Jun 2016Activity: Participating in or organising event(s) › Participating in a conference, workshop, exhibition, performance, inquiry, course etc › Research
Impacts
-
Mammographic density added to the Tyrer-Cuzick breast cancer risk model
Elaine Harkness (Corresponding participant)
Impact: Health and wellbeing
Datasets
-
A comparison of five methods of measuring mammographic density: a case-control study
Astley, S. (Contributor), Harkness, E. (Contributor), Sergeant, J. (Contributor), Warwick, J. (Contributor), Stavrinos, P. (Contributor), Warren, R. (Contributor), Wilson, M. (Contributor), Beetles, U. (Contributor), Gadde, S. (Contributor), Lim, Y. (Contributor), Jain, A. (Contributor), Bundred, S. (Contributor), Barr, N. (Contributor), Reece, V. (Contributor), Brentnall, A. R. (Contributor), Cuzick, J. (Contributor), Howell, A. (Contributor) & Evans, D. (Contributor), figshare , 5 Feb 2018
DOI: 10.6084/m9.figshare.c.3996891.v1, https://figshare.com/collections/A_comparison_of_five_methods_of_measuring_mammographic_density_a_case-control_study/3996891/1
Dataset
-
Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort
Brentnall, A. R. (Contributor), Harkness, E. (Contributor), Astley, S. (Contributor), Donnelly, L. S. (Contributor), Stavrinos, P. (Contributor), Sampson, S. (Contributor), Fox, L. (Contributor), Sergeant, J. (Contributor), Harvie, M. N. (Contributor), Wilson, M. (Contributor), Beetles, U. (Contributor), Gadde, S. (Contributor), Lim, Y. (Contributor), Jain, A. (Contributor), Bundred, S. (Contributor), Barr, N. (Contributor), Reece, V. (Contributor), Howell, T. (Contributor), Cuzick, J. (Contributor) & Evans, D. (Contributor), figshare , 1 Dec 2015
DOI: 10.6084/m9.figshare.c.3640301.v1, https://figshare.com/collections/Mammographic_density_adds_accuracy_to_both_the_Tyrer-Cuzick_and_Gail_breast_cancer_risk_models_in_a_prospective_UK_screening_cohort/3640301/1
Dataset
-
Breast cancer risk in a screening cohort of Asian and white British/Irish women from Manchester UK
Evans, D. (Creator), Brentnall, A. (Creator), Harvie, M. (Creator), Astley, S. (Creator), Harkness, E. (Creator), Stavrinos, P. (Creator), Donnelly, L. (Creator), Sampson, S. (Creator), Idries, F. (Creator), Watterson, D. (Creator), Cuzick, J. (Creator), Wilson, M. (Creator), Jain, A. (Creator), Harrison, F. (Creator), Maxwell, A. (Creator) & Howell, T. (Creator), figshare , 25 Jan 2018
DOI: 10.6084/m9.figshare.c.3987780
Dataset
-
Tumour Infiltrating Lymphocytes in Follicular Lymphoma - additional data
Astley, S. (Contributor), Byers, R. (Contributor), Dave, M. (Contributor), Fergie, M. (Contributor), Harkness, E. (Contributor), Linton, K. (Contributor), Rosenberg, A. (Contributor), Sperrin, M. (Contributor), Tsakiroglou, A. M. (Creator) & West, C. (Contributor), Mendeley Data, 4 Jan 2021
DOI: 10.17632/274xbhc5rx.3, https://data.mendeley.com/datasets/274xbhc5rx
Dataset
-
A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies
Wang, C. (Contributor), Brentnall, A. (Contributor), Cuzick, J. (Contributor), Harkness, E. (Contributor), Evans, D. (Contributor) & Astley, S. (Contributor), figshare , 18 Oct 2017
DOI: 10.6084/m9.figshare.c.3908383.v1, https://figshare.com/collections/A_novel_and_fully_automated_mammographic_texture_analysis_for_risk_prediction_results_from_two_case-control_studies/3908383/1
Dataset