1. Durmo R, Donati B, Rebaud L, Cottereau AS, Ruffini A, Nizzoli M, Ciavarella S, Vegliante M, Nioche C, Meignan M, Merli F, Versari A, Ciarrocchi A, Buvat I, Luminari S. Prognostic value of lesion dissemination in ABVD-treated, iPET-negative cHL patients: a radio-genomic study. Hemat Oncol. in press, 2022. DOI: 10.1002/hon.3025 
  2. Jha AK, Bradshaw TJ, Buvat I, Hatt M, Kc P, Liu C, Obuchowski NF, Saboury B, Slomka PJ, Sunderland JJ, Wahl RL, Yu Z, Zuehlsdorff S, Rahmim A, Boellaard R. Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE guidelines). J Nucl Med. in press, 2022.

  3. Guesdon-Vennerie A, Couvreur P, Ali F, Pouzoulet F, Roulin C, Martínez-Rovira I, Bernadat G, Legrand FX, Bourgaux C, Mazars C, Marco S, Trépout S, Mura S, Mériaux S, Bort G. Breaking photoswitch activation depth limit using ionising radiation stimuli adapted to clinical application. Nat Comm. in press, 2022.

  4. Girum KB, Rebaud L, Cottereau AS, Meignan M, Clerc J, Vercellino L, Casasnovas O, Morschhauser F, Thieblemont C, Buvat I. 18F-FDG PET maximum intensity projections and artificial intelligence: a win-win combination to easily measure prognostic biomarkers in DLBCL patients. J Nucl Med. in press, 2022.
  5. Comte V, Schmutz H, Humbert O, Orlhac F, Chardin D, Darcourt J. Development and validation of a radiomic model for the diagnosis of dopaminergic denervation on [18F]FDOPA PET/CT. Eur J Nucl Med Mol Imaging. in press, 2022. DOI: 10.1007/s00259-022-05816-7

  6. Peltier A, Seban R, Buvat I, Bidard FC, Mechta-Grigoriou F. Fibroblast heterogeneity in solid tumors: from single cell analysis to whole-body imaging. Semin Cancer Biol. in press, 2022. DOI: 10.1016/j.semcancer.2022.04.008
  7. Dal Toso L, Chalampalakis Z, Buvat I, Comtat C, Cook G, Goh V, Schnabel JA, Marsden PK. Improved 3D Tumour Definition and Quantification of Uptake in Simulated Lung Tumours Using Deep Learning. Phys Med Biol. 67:095013, 2022. DOI: 10.1088/1361-6560/ac65d6

  8. Bradshaw TJ, Boellaard R, Dutta J, Jha AK, Jacobs P, Li Q, Liu C, Sitek A, Saboury B, Scott PJH, Slomka PJ, Sunderland JJ, Wahl RL, Yousefirizi F, Zuehlsdorff S, Rahmim A, Buvat I. Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. J Nucl Med. 63(4):500-510, 2022. DOI: https://doi.org/10.2967/jnumed.121.262567 
  9. Beddok A, Calugaru V, de Marzi L, Graff P, Dumas JL, Goudjil F, Dendale R, Minsat M, Verrelle P, Buvat I, Créhange G. Clinical and technical challenges of cancer reirradiation: Words of wisdom. Crit Rev Oncol Hematol. 174:103655, 2022. DOI: 10.1016/j.critrevonc.2022.103655

  10. Escobar T, Vauclin S, Orlhac F, Nioche C, Pineau P, Champion L, Brisse H, Buvat I. Voxel-wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns. Med Phys. in press, 2022. DOI: 10.1002/mp.15603
  11. Wallis D, Buvat I. Clever Hans effect found in a widely used brain tumour MRI dataset. Med Image Anal. 77:102368, 2022. DOI: 10.1016/j.media.2022.102368

  12. Loap P, Mirandola A, De Marzi L, Vitolo V, Barcellini A, Iannalfi A, Dendale R, Kirova Y, Orlandi E. Cardiac conduction system exposure with modern radiotherapy techniques for mediastinal Hodgkin lymphoma irradiation (Letter). Acta Oncol. 11:1-4, 2022. DOI: 10.1080/0284186X.2021.2025265.

  13. Seban RD, Champion L, Muneer I, Synn S, Schwartz LH, Dercle L. Potential theranostic role of bone marrow glucose metabolism on baseline [18F]-FDG PET/CT in metastatic melanoma (letter to the Editor). J Nucl Med. 63:166, 2022. DOI: 10.2967/jnumed.121.262361
  14. Cardoen L, Tauziède-Espariat A, Dangouloff-Ros V, Moalla S, Nicolas N, Roux CJ, Bouchoucha Y, Bourdeaut F, Beccaria K, Bolle S, Pierron G, Dufour C, Doz F, Boddaert N, Brisse HJ. Imaging Features with Histopathologic Correlation of CNS High-Grade Neuroepithelial Tumors with a BCOR Internal Tandem Duplication. AJNR Am J Neuroradiol. 43:151-156, 2022. DOI: 10.3174/ajnr.A7367.

  15. Orlhac F, Eertink JJ, Cottereau AS, Zijlstra JM, Thieblemont C, Meignan M, Boellaard R, Buvat I. A guide to ComBat harmonization of imaging biomarkers in multi center studies. J Nucl Med. 63(2):172-179, 2022. DOI: https://doi.org/10.2967/jnumed.121.262464 
  16. Wallis D, Soussan M, Lacroix M, Akl P, Duboucher C, Buvat I. An FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients. Eur J Nucl Med Mol Imaging. 49(3):881-888, 2022. DOI: https://doi.org/10.1007/s00259-021-05513-x

  17. Hahn C, Ödén J, Dasu A, Vestergaard A, Fuglsang Jensen M, Sokol O, Pardi C, Bourhaleb F, Leite A, de Marzi L, Smith E, Aitkenhead A, Rose C, Merchant M, Kirkby K, Grzanka L, Pawelke J, Lühr A. Towards harmonizing clinical linear energy transfer (LET) reporting in proton radiotherapy: a European multi-centric study. Acta oncologica, 61:206-214, 2022. DOI:  https://doi.org/10.1080/0284186X.2021.1992007

  18. Loap P, De Marzi L, Almeida CE, Barcellini A, Bradley J, de Santis MC, Dendale R, Jimenez R, Orlandi E, Kirova Y. Hadrontherapy techniques for breast cancer. Crit Rev Oncol Hematol. 169:103574, 2022. DOI: https://doi.org/10.1016/j.critrevonc.2021.103574.