Selected Publications

Ivanidze, J., Franceschi, A. M., Wintermark, M., Jordan, J. E., Aboian, M., Anderson, J. C., Assadsangabi, R., Benayoun, M. D., Benzinger, T. L., Chiang, G. C., Ebani, E. J., Famuyide, A., Galldiks, N., Hu, L. S., Johnson, D. R., Johnson, J. M., Khalaf, A., Knight-Greenfield, A., Lohmann, P., Moradi, F., … Barajas, R. F., Jr: American Society of Neuroradiology Consensus Statement: Integrating Neuro-PET Interpretation into Neuroradiology Training and Practice. AJNR. American journal of neuroradiology 47(2): 281-288, Feb 2026 Notes: DOI: 10.3174/ajnr.A8959.

LaBella, D., Schumacher, K., Mix, M., Leu, K., McBurney-Lin, S., Nedelec, P., Villanueva-Meyer, J., Raleigh, D. R., Shapey, J., Vercauteren, T., Chia, K., Ivory, M., Barfoot, T., Al-Salihi, O., Leu, J., Halasz, L. M., Velichko, Y., Wang, C., Kirkpatrick, J. P., Floyd, S. R., … Calabrese, E.: The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset. Scientific data 13(1): 306, January 2026 Notes: DOI: 10.1038/s41597-026-06649-x.

Chadha, S., Sritharan, D. V., Dolezal, D., Chande, S., Hager, T., Bousabarah, K., Aboian, M. S., Chiang, V., Lin, M., Nguyen, D. X., & Aneja, S.: Matched MRI, Segmentations, and Histopathologic Images of Brain Metastases from Primary Lung Cancer. Scientific data 13(1): 40, January 2026 Notes: DOI: 10.1038/s41597-025-06353-2.

Payabvash, S., Sharaf, K., Zeevi, T., Gross, M., Mahajan, A., Kann, B. H., Judson, B. L., Schreier, A., Krenn, J., Prasad, M. L., Burtness, B., Aboian, M., Canis, M., Baumeister, P., Reichel, C. A., & Haider, S. P: FDG-PET Intensity Normalization Improves Radiomics-Based Survival Prediction in Patients with Oropharyngeal Cancer: A Comparison of the Standardized Uptake Value with Alternative Normalization Techniques. AJNR. American journal of neuroradiology 3(46): 2370-2376, Nov 2025 Notes: DOI: 10.3174/ajnr.A8836.

Kann, B. H., Vossough, A., Brüningk, S. C., Familiar, A. M., Aboian, M., Linguraru, M. G., Yeom, K. W., Chang, S. M., Hargrave, D., Mirsky, D., Storm, P. B., Huang, R. Y., Resnick, A. C., Weller, M., Mueller, S., Prados, M., Peet, A. C., Villanueva-Meyer, J. E., Bakas, S., Fangusaro, J. : Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art. The Lancet. Oncology 26(11): e597-e606, Nov 2025 Notes: DOI: 10.1016/S1470-2045(25)00484-X.

Kazerooni, A. F., Familiar, A. M., Aboian, M., Brüningk, S. C., Vossough, A., Linguraru, M. G., Huang, R. Y., Hargrave, D., Peet, A. C., Resnick, A. C., Storm, P. B., Mirsky, D., Yeom, K. W., Weller, M., Prados, M., Chang, S. M., Mueller, S., Villanueva-Meyer, J. E., Bakas, S., Fangusaro, J: Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation. The Lancet Oncology 26(11): e607–e618, Nov 2025 Notes: DOI: 10.1016/S1470-2045(25)00489-9.

Galldiks, N., Lohmann, P., Aboian, M., Barajas, R. F., Jr, Breen, W. G., Ivanidze, J., Johnson, D. R., Kaufmann, T. J., Kim, M. M., Mair, M. J., Minniti, G., Müther, M., Nabavizadeh, A., Palmer, J. D., Rudà, R., Smits, M., Tolboom, N., Veldhuijzen van Zanten, S. E. M., Veronesi, M. C., Werner, J. M., … Albert, N. L.: Update to the RANO working group and EANO recommendations for the clinical use of PET imaging in gliomas. The Lancet. Oncology 26(8): e436–e447, Aug 2025 Notes: 10.1016/S1470-2045(25)00193-7.

von Reppert, M., Chadha, S., Willms, K., Avesta, A., Maleki, N., Zeevi, T., Lost, J., Tillmanns, N., Jekel, L., Merkaj, S., Lin, M., Hoffmann, K. T., Aneja, S., Aboian,: Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features. AJNR. American journal of neuroradiology 46(7): 1421-1428, July 2025 Notes: doi: 10.3174/ajnr.A8805.

Akbari, H., Bakas, S., Sako, C., Fathi Kazerooni, A., Villanueva-Meyer, J., Garcia, J. A., Mamourian, E., Liu, F., Cao, Q., Shinohara, R. T., Baid, U., Getka, A., Pati, S., Singh, A., Calabrese, E., Chang, S., Rudie, J., Sotiras, A., LaMontagne, P., Marcus, D. S., …: Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study. Neuro-oncology 27(4): 1102-1115, May 2025 Notes: doi: 10.1093/neuonc/noae260.

Lost, J., Ashraf, N., Jekel, L., von Reppert, M., Tillmanns, N., Willms, K., Merkaj, S., Petersen, G. C., Avesta, A., Ramakrishnan, D., Omuro, A., Nabavizadeh, A., Bakas, S., Bousabarah, K., Lin, M., Aneja, S., Sabel, M., & Aboian, M. : Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging. Neuro-oncology advances 6(1), Oct 2024 Notes: doi: 10.1093/noajnl/vdae157. eCollection 2024 Jan-Dec.