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1. A framework based on hidden Markov trees for multimodal PET/CT image co‐segmentation. Issue 11 (9th October 2017)

2. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization. (March 2021)

3. Classification and evaluation strategies of auto‐segmentation approaches for PET: Report of AAPM task group No. 211. Issue 6 (18th May 2017)

4. Estrogen receptor‐positive/human epidermal growth factor receptor 2‐negative breast tumors. Issue 11 (15th March 2013)

5. Estrogen receptor‐positive/human epidermal growth factor receptor 2‐negative breast tumors: Early prediction of chemosensitivity with 18F‐fluorodeoxyglucose positron emission tomography/computed tomography during neoadjuvant chemotherapy. Issue 11 (15th March 2013)

6. Evaluation of the tumor registration error in biopsy procedures performed under real‐time PET/CT guidance. Issue 10 (12th July 2017)

7. FDG PET/CT for rectal carcinoma radiotherapy treatment planning: comparison of functional volume delineation algorithms and clinical challenges. (8th September 2014)

8. Haralick textural features on T2‐weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer. Issue 1 (27th June 2016)

9. Independent component analysis for rectal bleeding prediction following prostate cancer radiotherapy. Issue 2 (February 2018)

10. Investigation of realistic PET simulations incorporating tumor patientˈs specificity using anthropomorphic models: Creation of an oncology database. Issue 11 (28th October 2013)