1. Bauer J, Hildebrandt M, Baumgartl M, Fiedler F, Robert C, Buvat I,  Enghardt W, Parodi K. Quantitative assessment of radionuclide production yields in in-beam and offline PET measurements at different proton irradiation facilities. Phys Med Biol, in press, 2022. 

  2. 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 
  3. 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.

  4. 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.

  5. 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.
  6. Kolinger GD, García DV, Kramer GM, Frings V, Zwezerijnen GJC, Smit EF, De Langen AJ, Buvat I, Boellaard R. Effects of tracer uptake time in non-small cell lung cancer 18F-FDG PET radiomics. J Nucl Med. 63(6):919-924, 2022. DOI: 10.2967/jnumed.121.262660

  7. 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

  8. 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
  9. 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

  10. 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 
  11. Créhange G, Goudjil F, Krhili SL, Minsat M, de Marzi L, Dendale R. The role of proton therapy in esophageal cancer. Cancer radiotherapie 26(4):602-610, 2022. DOI: https://doi.org/10.1016/j.canrad.2021.08.015

  12. 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

  13. 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
  14. 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

  15. 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.

  16. 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
  17. 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.

  18. 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 
  19. 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

  20. 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

  21. 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.