Publications

Google Scholar

26. William C McGough, Lorena Escudero Sánchez, Cathal McCague, Grant D Stewart, Carola-Bibiane Schönlieb, Evis Sala, Mireia Crispin-Ortuzar
AI for Early Detection of Renal Cancer in Computed Tomography: A Review
Cambridge Prisms: Precision Medicine (Accepted, 2022)
26. Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation
arXiv:2209.09563
26. Stephen J. Sammut, M. Crispin-Ortuzar, et al.
Multi-omic machine learning predictor of breast cancer therapy response
Nature, 601, 623–629 (2022)
25. Stephan Ursprung, Helen Mossop, ..., M. Crispin-Ortuzar, et al.
The WIRE study a phase II, multi-arm, multi-centre, non-randomised window-of-opportunity clinical trial platform using a Bayesian adaptive design for proof-of-mechanism of novel treatment strategies in operable renal cell cancer – a study protocol
BMC Cancer volume 21, 1238 (2021)
24. M. Crispin-Ortuzar* Ramona Woitek*, Vlad Bura, Leonardo Rundo, Cathal McCague, et al.
Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer
Under review [medRxiv]
23. P. Martin-Gonzalez, M. Crispin-Ortuzar* and F. Markowetz*
Predictive Modelling of Highly Multiplexed Tumour Tissue Images by Graph Neural Networks
TDA4MedicalData, MICCAI (2021)
22. A. Maiter, F. Riemer, K. Allinson, F. Zaccagna, M. Crispin-Ortuzar et al.
Investigating the relationship between diffusion kurtosis tensor imaging (DKTI) and histology within the normal human brain
Scientific Reports 11, 8857 (2021)
21. M. Crispin-Ortuzar and E. Sala
Precision radiogenomics: fusion biopsies to target tumour habitats in vivo
British Journal of Cancer volume 125, pages 778–779 (2021)
20. M. Gehrung, M. Crispin-Ortuzar, A. G. Berman, M. O'Donovan, R. C. Fitzgerald, F. Markowetz
Triage-driven diagnosis of Barrett esophagus for early detection of esophageal adenocarcinoma using deep learning
Nature Medicine 27, 833–841 (2021)
19. L. Beer, P. Martin-Gonzalez, ..., M. Crispin-Ortuzar, H. Addley, and E. Sala
Ultrasound-guided targeted biopsies of CT-based radiomic tumour habitats: technical development and initial experience in metastatic ovarian cancer
European Radiology (2020)
18. H. Veeraraghavan, H.A. Vargas, A.-J. Sánchez, M. Micco, E. Mema, Y. Lakhman, M. Crispin-Ortuzar, et al.
Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian Carcinoma
Cancers 12, 3403 (2020)
17. S. Sanduleanu, A. Jochems, T. Upadhaya, A.J.G. Even, R.T.H. Leijenaar, F.J.W.M. Dankers, ..., M. Crispin-Ortuzar, A. Apte, et al.
Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures
Radiotherapy and Oncology 153, 97 (2020)
16. P. Martin-Gonzalez, M. Crispin-Ortuzar, L. Rundo, M. Delgado-Ortet, M. Reinius, L. Beer, R. Woitek, S. Ursprung, H. Addley, J.D. Brenton, F. Markowetz and E. Sala
Integrative radiogenomics for virtual biopsy and treatment monitoring in ovarian cancer
Insights into Imaging 11, 94 (2020)
15. M. Crispin-Ortuzar, M. Gehrung, S. Ursprung, A.B. Gill, A.Y. Warren, L. Beer, F.A. Gallagher, T.J. Mitchell, I.A. Mendichovszky, A.N. Priest, G.D. Stewart, E. Sala and F. Markowetz
Three-Dimensional Printed Molds for Image-Guided Surgical Biopsies: An Open Source Computational Platform
Journal of Clinical Oncology: Clinical Cancer Informatics 4, 736 (2020)
14. L. Rundo, L. Beer, S. Ursprung, P. Martin-Gonzalez, F. Markowetz, J.D. Bernton, M. Crispin-Ortuzar, E. Sala and R. Woitek
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering
Computers in Biology and Medicine 120, 103751 (2020)
13. A. Apte, A. Iyer, M. Crispin-Ortuzar, R. Pandya, L. van Dijk, E. Spezi, M. Thor, H. Um, H. Veeraraghavan, J.H. Oh, A. Shukla-Dave and J.O. Deasy
Extension of CERR for computational radiomics: a comprehensive MATLAB platform for reproducible radiomics research
Medical Physics 45, 3713 (2018)
12. M. Crispin-Ortuzar, A. Apte, M. Grkovski, J.H. Oh, N.Y. Lee, H. Schoder, J.L. Humm, J.O. Deasy
Predicting hypoxia status using a combination of contrast-enhanced computed tomography and [18F]-Fluorodeoxyglucose positron emission tomography radiomics features
Radiotherapy and Oncology 127, 36 (2018)
11. M. Crispin-Ortuzar, J. Jeong, A.N. Fontanella and J.O. Deasy
A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables
Physics in Medicine and Biology 62, 2658 (2017)
10. M. Crispin-Ortuzar, M. Grkovski, B. Beattie, N.Y. Lee, N. Riaz, J.L. Humm, J. Jeong, A.N. Fontanella and J.O. Deasy
Radiobiological Modeling of Tumor Response During Radiotherapy Based On Pre-Treatment Dynamic PET Imaging Data
Medical Physics 43, 3797 (2016)
9. M. Crispin-Ortuzar
High Jet Multiplicity Physics at the LHC
Springer International Publishing, ISBN 978-3-319-43460-5
8. M. Crispin-Ortuzar and the ATLAS Collaboration
Measurement of four-jet differential cross-sections in sqrt(s)=8 TeV proton-proton collisions using the ATLAS experiment
Journal of High Energy Physics 12, 105 (2015)
7. M. Crispin Ortuzar, A. Haas, Z. Marshall, M. Ronzani, A. Sfyrla
Limits on metastable gluinos from ATLAS SUSY searches at 8 TeV
ATL-COM-PHYS-2014-037, Geneva, CERN
6. M. Crispin-Ortuzar and the ATLAS Collaboration
Search for new phenomena in final states with large jet multiplicities and missing transverse momentum at sqrt(s)=8 TeV proton-proton collisions using the ATLAS experiment
Journal of High Energy Physics 10, 130 (2013)
5. J. Alconada, M. Corradi, M. Crispin Ortuzar, M. T. Dova, P. Francavilla, A. Khanov, F. Monticelli, E. Moyse, C. Pizio, C. Pollard, P. S. Wells
Performance assumptions based on full simulation for an upgraded ATLAS detector at a High-Luminosity LHC
ATL-COM-PUB-2013-009, Geneva, CERN
4. A. Barr, K. Boone, A. Canepa, M. Crispin-Ortuzar, M. D'Onofrio, C. Young, G. Polesello, G. Redlinger
Searches for Supersymmetry at the high luminosity LHC with the ATLAS Detector
ATL-COM-PUB-2013-002, Geneva, CERN
3. A. Barr, M. Crispin-Ortuzar, A. Mincer, R. Neves, A. Robichaud Veronneau, A. Sfyrla, A. Tua and C. Young
Search for new phenomena using large jet multiplicities and missing transverse momentum with ATLAS in 5.8 ifb of sqrt(s) = 8 TeV proton-proton collisions
ATL-COM-PHYS-2012-964, Geneva, CERN
2. K. Cannon, R. Cariou, A. Chapman, M. Crispin-Ortuzar, N. Fotopoulos, M. Frei, C. Hanna, E. Kara, D. Keppel, L. Liao, S. Privitera, A. Searle, L. Singer and A. Weinstein
Toward early-warning detection of gravitational waves from compact binary coalescence
The Astrophysical Journal 748, 136 (2012)
1. C. Candela Juan, M. Crispin-Ortuzar and M. Aslaninejad
Depth-dose distribution of proton beams using inelastic-collision cross sections of liquid water
Nuclear Instruments and Methods B 269, 189 (2011)