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2. A machine learning approach using clinical data for recurrence risk-stratification following radiotherapy for non-small cell lung cancer. (March 2022)

3. ASSOCIATION BETWEEN METABOLIC PARAMETERS FROM DYNAMIC 18F-FLUOROMETHYLCHOLINE PET, PHARMACOKINETIC PARAMETERS FROM DCE-MRI, CHOLINE TO CREATINE RATIOS FROM MRS AND TISSUE IMMUNOHISTOCHEMISTRY FOR CHOLINE KINASE ALPHA EXPRESSION IN HUMAN BRAIN GLIOMA. (3rd October 2018)

4. Combined CT radiomics of primary tumour and metastatic lymph nodes improves prediction of recurrence following radiotherapy for non-small cell lung cancer. (March 2022)

5. CT-radiomics to predict recurrence following curative-intent radiotherapy for stage I–III non-small-cell lung cancer. (November 2022)

6. Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy study. Issue 10 (5th October 2022)

7. Inhibition of fatty acid desaturation is detrimental to cancer cell survival in metabolically compromised environments. Issue 1 (December 2016)

8. Inhibition of fatty acid desaturation is detrimental to cancer cell survival in metabolically compromised environments. Issue 1 (December 2016)

9. NIMG-37. ASSOCIATION BETWEEN METABOLIC PARAMETERS FROM DYNAMIC 18FMC PET, PHARMACOKINETIC DCE-MRI PARAMETERS, MRS CHOLINE TO CREATINE RATIOS AND TISSUE IMMUNOHISTOCHEMISTRY FOR CHOLINE KINASE ALPHA EXPRESSION IN HUMAN BRAIN GLIOMA. (5th November 2018)