Marianna Inglese is a research associate working in the post-processing of MRI and PET data. Her key interest is in developing combined approaches for the improvement of perfusion PET and MRI quantification. She is also interested in developing new and advanced tools for the early diagnosis of Alzheimer's disease.
Marianna joined Imperial College London in 2017, while she was a PhD student. In 2018 she received her PhD from University of Rome La Sapienza, titled "Advanced perfusion quantification methods for dynamic PET and MRI data modelling" and supervised by Prof. Eric Aboagye and Prof. Febo Cincotti. Previously, she obtained her MSc in Biomedical Engineering with a project focused on the carrection of attenuation of breast RF coils in a hybrid PET/MRI scanner.She was supervised by Prof. Frank Prato, University of Western Ontario (Canada).
et al., 2020, Monitoring response to transarterial chemoembolization in hepatocellular carcinoma using 18F-Fluorothymidine Positron Emission Tomography, The Journal of Nuclear Medicine, Vol:61, ISSN:0161-5505, Pages:1743-1748
et al., 2020, [18F]Fluciclatide PET as a biomarker of response to combination therapy of pazopanib and paclitaxel in platinum-resistant/refractory ovarian cancer, European Journal of Nuclear Medicine and Molecular Imaging, Vol:47, ISSN:0340-6997, Pages:1239-1251
et al., 2019, Reliability of dynamic contrast enhanced magnetic resonance imaging data in primary brain tumours: a comparison of Tofts and shutter speed models, Neuroradiology, Vol:61, ISSN:0028-3940, Pages:1375-1386
et al., 2019, RELIABILITY OF DCE MRI DATA IN PRIMARY BRAIN TUMOURS: A COMPARISON OF TOFTS AND SHUTTER SPEED MODELS, Meeting of the British-Neuro-Oncology-Society (BNOS), OXFORD UNIV PRESS INC, Pages:11-11, ISSN:1522-8517
et al., 2019, [F-18]fluciclatide Pet As A Biomarker Of Response To Combination Therapy Of Pazopanib And Paclitaxel In Platinum-resistant/refractory Ovarian Cancer, 32nd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM), SPRINGER, Pages:S223-S223, ISSN:1619-7070