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EP23.10: Comparing handheld point of care ultrasound with high specification ultrasound in gynecology.
Published in:
Ultrasound in Obstetrics & Gynecology, 2024, v. 64, p. 330, doi. 10.1002/uog.28946
By:
- Novak, A.M.;
- Cooper, N.;
- Parker, N.;
- Pikovsky, M.;
- Barcroft, J.;
- Murugesu, S.;
- Kyriacou, C.;
- Lockett, G.;
- Thomson, A.R.;
- Stalder, C.;
- Landolfo, C.;
- Al‐Memar, M.;
- Bourne, T.
Publication type:
Article
EP21.27: Reducing intrusive memories after early pregnancy loss using a brief cognitive task involving Tetris computer gameplay: a randomised controlled trial.
Published in:
Ultrasound in Obstetrics & Gynecology, 2024, v. 64, p. 315, doi. 10.1002/uog.28869
By:
- Parker, N.;
- Elhag, B.;
- Barcroft, J.;
- Kyriacou, C.;
- Novak, A.M.;
- Pikovsky, M.;
- Holmes, E.A.;
- Bourne, T.
Publication type:
Article
OP09.02: Comparing handheld point of care ultrasound to standard care with transvaginal ultrasound in early pregnancy.
Published in:
Ultrasound in Obstetrics & Gynecology, 2024, v. 64, p. 82, doi. 10.1002/uog.27943
By:
- Novak, A.M.;
- Cooper, N.;
- Parker, N.;
- Pikovsky, M.;
- Barcroft, J.;
- Murugesu, S.;
- Kyriacou, C.;
- Elhag, B.;
- Lockett, G.;
- Thomson, A.R.;
- Stalder, C.;
- Al‐Memar, M.;
- Bourne, T.
Publication type:
Article
OC15.01: Radiomics analysis of early pregnancy ultrasound images to predict viability at the end of first trimester.
Published in:
Ultrasound in Obstetrics & Gynecology, 2024, v. 64, p. 38, doi. 10.1002/uog.27822
By:
- Murugesu, S.;
- Linton‐Reid, K.;
- Barcroft, J.;
- Pikovsky, M.;
- Cooper, C.;
- Ijaiya, B.;
- Novak, A.M.;
- Cooper, N.;
- Saso, S.;
- Aboagye, E.;
- Bourne, T.
Publication type:
Article
OC15.07: Application of machine learning methods to predict the success of expectant or medical management of miscarriage.
Published in:
Ultrasound in Obstetrics & Gynecology, 2024, v. 64, p. 40, doi. 10.1002/uog.27828
By:
- Murugesu, S.;
- Linton‐Reid, K.;
- Braun, E.;
- Barcroft, J.;
- Cooper, N.;
- Pikovsky, M.;
- Novak, A.M.;
- Parker, N.;
- Stalder, C.;
- Al‐Memar, M.;
- Saso, S.;
- Aboagye, E.;
- Bourne, T.
Publication type:
Article
OC05.01: *Prospective validation of an end‐to‐end machine learning‐based model for the classification of adnexal masses using ultrasonography.
Published in:
Ultrasound in Obstetrics & Gynecology, 2024, v. 64, p. 12, doi. 10.1002/uog.27748
By:
- Barcroft, J.;
- Linton‐Reid, K.;
- Munaretto, M.;
- Fantauzzi, M.;
- Kim, J.;
- Murugesu, S.;
- Parker, N.;
- Kyriacou, C.;
- Novak, A.M.;
- Pikovsky, M.;
- Cooper, N.;
- Lee, S.;
- Savelli, L.;
- Thomson, A.R.;
- Yazbek, J.;
- Stalder, C.;
- Bharwani, N.;
- Posma, J.;
- Timmerman, D.;
- Al‐Memar, M.
Publication type:
Article

Found: 6

EP23.10: Comparing handheld point of care ultrasound with high specification ultrasound in gynecology.

EP21.27: Reducing intrusive memories after early pregnancy loss using a brief cognitive task involving Tetris computer gameplay: a randomised controlled trial.

OP09.02: Comparing handheld point of care ultrasound to standard care with transvaginal ultrasound in early pregnancy.

OC15.01: Radiomics analysis of early pregnancy ultrasound images to predict viability at the end of first trimester.

OC15.07: Application of machine learning methods to predict the success of expectant or medical management of miscarriage.

OC05.01: *Prospective validation of an end‐to‐end machine learning‐based model for the classification of adnexal masses using ultrasonography.