Mireia Crispin-Ortuzar

Also affiliated with Cancer Research UK, Cancer Research UK Cambridge Center

Physics and AstronomyMedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “SMMILe enables accurate spatial quantification in digital pathology using multiple-instance learning”.

SMMILe enables accurate spatial quantification in digital pathology using multiple-instance learning

Nature Cancer(2025)10.1038/s43018-025-01060-8

N/A

0DataRank · unranked

0 citations

Anyu Mao, Yuxing Dong, Hannah Clayton, Jialun Wu, Jiashuai Liu +6 more

PO-1583: Non-invasive radiomic imaging prediction of tumour hypoxia: biomarker for FLASH irradiation?

Radiotherapy and Oncology(2020)10.1016/s0167-8140(21)01601-7

N/A

0DataRank · unranked

0 citations

T. Tamanupadhaya gmail.com, Remy Klaassen, Henry C. Woodruff, Mathieu Hatt, Johannes H.A.M. Kaanders +19 more

Deep learning-based segmentation of multisite disease in ovarian cancer

European Radiology Experimental(2023)10.1186/s41747-023-00388-z

N/A

0DataRank · unranked

22 citations

Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar +22 more

Deep learning-based Segmentation of Multi-site Disease in Ovarian Cancer

medRxiv(2023)10.1101/2023.01.10.22279679

N/A

0DataRank · unranked

7 citations

Leonardo Rundo, Ramona Woitek, L. Escudero, Lucian Beer, Mireia Crispin-Ortuzar +22 more