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Christopher Kyriacou

Imperial College London

South Kensington Campus

Exhibition Road

London, SW7 2AZ

United Kingdom

  • Imperial College London

SCHOLARLY PAPERS

2

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254

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0

Scholarly Papers (2)

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1.

Maternal Plasma MicroRNAs as Potential Biomarkers for Triaging Pregnancies of Unknown Location and Ectopic Pregnancy Diagnosis

Downloads 137 (537,489)

Maternal Plasma MicroRNAs as Potential Biomarkers for Triaging Pregnancies of Unknown Location and Ectopic Pregnancy Diagnosis

Number of pages: 36 Posted: 07 Mar 2024
Christopher Kyriacou, Sung Hye Kim, Maria Arianoglu, Shabnam Bobdiwala, Margaret Pikovsky, Nina Parker, Jennifer Barcroft, Maya Al-Memar, Phillip Bennett, David A. MacIntyre, Tom Bourne and Vasso Terzidou
Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London - Imperial College Healthcare NHS Trust, Imperial College London, Imperial College London - Institute of Reproductive and Developmental Biology, Imperial College London, Imperial College London and Imperial College London
Downloads 84 (792,223)

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MicroRNA, Biomarkers, PUL, Ectopic Pregnancy, Plasma

Maternal Plasma Micrornas as Potential Biomarkers for Triaging Pregnancies of Unknown Location and Ectopic Pregnancy Diagnosis

Number of pages: 49 Posted: 23 Dec 2024
Christopher Kyriacou, Sung Hye Kim, Maria Arianoglu, Shabnam Bobdiwala, Margaret Pikovsky, Nina Parker, Jennifer Barcroft, Maya Al-Memar, Phillip Bennett, David A. MacIntyre, Tom Bourne and Vasso Terzidou
Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London - Institute of Reproductive and Developmental Biology, Imperial College London, Imperial College London and Imperial College London
Downloads 53 (1,049,673)

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microRNA, Biomarkers, PUL, Ectopic Pregnancy, plasma

2.

The Use of Machine Learning Models and Radiomics for Segmentation and Classification of Adnexal Masses on Ultrasound: A Multi-Cohort Retrospective Study

Number of pages: 24 Posted: 28 Apr 2023
Jennifer Barcroft, Kristofer Linton-Reid, Chiara Landolfo, Maya Al-Memar, Nina Parker, Christopher Kyriacou, Maria Munaretto, Martina Fantauzzi, Nina Cooper, Joseph Yazbek, Nishat Bharwani, Sara Lee, Ju Hee Kim, Dirk Timmerman, Joram M. Posma, Luca Savelli, Srdjan Saso, Eric O. Aboagye and Tom Bourne
Imperial College London - Imperial College Healthcare NHS Trust, Imperial College London, Imperial College London, Imperial College London, Imperial College London, Imperial College London, Morgagni-Pierantoni Hospital, University of Milano-Bicocca - Faculty of Medicine, Imperial College London, Imperial College London - Imperial College Healthcare NHS Trust, Imperial College London - Imperial College Healthcare NHS Trust, University of Ulsan, College of Medicine, Department of Obstetrics and Gynecology, University of Ulsan, College of Medicine, Department of Obstetrics and Gynecology, KU Leuven - Department of Development and Regeneration, Imperial College London, AUSL Romagna, Imperial College London - Imperial College Healthcare NHS Trust, Imperial College London and Imperial College London
Downloads 117 (613,149)

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Adnexal Mass Classification, Ultrasound, Radiomics, Machine Learning, Imaging, Ovarian Cancer Detection, Deep Learning, Classification Models