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British Journal of Cancer
|
April 17, 2021
Precision radiogenomics: fusion biopsies to target tumour habitats in vivo
Mireia Crispin-Ortuzar, Evis Sala
Physics in Medicine and Biology
|
February 1, 2017
A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables
Mireia Crispin-Ortuzar, Jeho Jeong, Andrew N Fontanella, et al.
NPJ Precision Oncology
|
July 26, 2024
Radiology and multi-scale data integration for precision oncology
Hania Paverd, Konstantinos Zormpas-Petridis, Hannah Clayton, et al.
Nature Medicine
|
April 16, 2021
Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning
Marcel Gehrung, Mireia Crispin-Ortuzar, Adam G Berman, et al.
Cambridge Prisms. Precision Medicine
|
March 29, 2024
Artificial intelligence for early detection of renal cancer in computed tomography: A review
William C McGough, Lorena E Sanchez, Cathal McCague, et al.
Bioinformatics (Oxford, England)
|
July 21, 2025
CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis
William Knottenbelt, William McGough, Rebecca Wray, et al.
Computers in Biology and Medicine
|
May 19, 2020
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering
Leonardo Rundo, Lucian Beer, Stephan Ursprung, et al.
Computers in Biology and Medicine
|
June 11, 2023
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation
Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
December 24, 2017
Predicting hypoxia status using a combination of contrast-enhanced computed tomography and [<sup>18</sup>F]-Fluorodeoxyglucose positron emission tomography radiomics features
Mireia Crispin-Ortuzar, Aditya Apte, Milan Grkovski, et al.
Nature Cancer
|
November 19, 2025
SMMILe enables accurate spatial quantification in digital pathology using multiple-instance learning
Zeyu Gao, Anyu Mao, Yuxing Dong, et al.
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of 4
Search research articles
Search
Showing results (1-10 of 32) with videos related to
Sort By:
Page
of 4
British Journal of Cancer
|
April 17, 2021
Precision radiogenomics: fusion biopsies to target tumour habitats in vivo
Mireia Crispin-Ortuzar, Evis Sala
Physics in Medicine and Biology
|
February 1, 2017
A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables
Mireia Crispin-Ortuzar, Jeho Jeong, Andrew N Fontanella, et al.
NPJ Precision Oncology
|
July 26, 2024
Radiology and multi-scale data integration for precision oncology
Hania Paverd, Konstantinos Zormpas-Petridis, Hannah Clayton, et al.
Nature Medicine
|
April 16, 2021
Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning
Marcel Gehrung, Mireia Crispin-Ortuzar, Adam G Berman, et al.
Cambridge Prisms. Precision Medicine
|
March 29, 2024
Artificial intelligence for early detection of renal cancer in computed tomography: A review
William C McGough, Lorena E Sanchez, Cathal McCague, et al.
Bioinformatics (Oxford, England)
|
July 21, 2025
CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis
William Knottenbelt, William McGough, Rebecca Wray, et al.
Computers in Biology and Medicine
|
May 19, 2020
Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering
Leonardo Rundo, Lucian Beer, Stephan Ursprung, et al.
Computers in Biology and Medicine
|
June 11, 2023
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation
Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
December 24, 2017
Predicting hypoxia status using a combination of contrast-enhanced computed tomography and [<sup>18</sup>F]-Fluorodeoxyglucose positron emission tomography radiomics features
Mireia Crispin-Ortuzar, Aditya Apte, Milan Grkovski, et al.
Nature Cancer
|
November 19, 2025
SMMILe enables accurate spatial quantification in digital pathology using multiple-instance learning
Zeyu Gao, Anyu Mao, Yuxing Dong, et al.
Page
of 4