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Mariam S. Aboian, MD, PhD
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Assistant Professor of Radiology at the Children's Hospital of Philadelphia
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Attending Neuroradiologist, Children's Hospital of Philadelphia, Department of Radiology, Division of Neuroradiology, Philadelphia, PA
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Principal Investigator, Aboian Lab, Children’s Hospital of Philadelphia Research Institute, Department of Radiology, Philadelphia, PA
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Department: Radiology
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Contact information
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Children's Hospital of Philadelphia
1f Department of Radiology
3e 3401 Civic Center Boulevard
Philadelphia, PA 19104
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1f Department of Radiology
3e 3401 Civic Center Boulevard
Philadelphia, PA 19104
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Office: 215-590-1000
3e Lab: 267-425-7068
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3e Lab: 267-425-7068
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Education:
21 7 BA 22 (Biology and Chemistry) c
39 Lake Forest College, Chicago, IL, 2000.
21 7 MD 15 (Medicine) c
53 Mayo Clinic College of Medicine and Science, Rochester, NY, 2010.
21 8 PhD 26 (Cell Biology and Genetics) c
53 Mayo Clinic College of Medicine and Science, Rochester, NY, 2010.
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Permanent link21 7 BA 22 (Biology and Chemistry) c
39 Lake Forest College, Chicago, IL, 2000.
21 7 MD 15 (Medicine) c
53 Mayo Clinic College of Medicine and Science, Rochester, NY, 2010.
21 8 PhD 26 (Cell Biology and Genetics) c
53 Mayo Clinic College of Medicine and Science, Rochester, NY, 2010.
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278 Kotecha, R., Chiang, V., Tom, M. C., Parent, E., Nabavizadeh, A., Siegel, B. A., Huang, J., Zan, E., Peddi, S., Brem, S., Ware, M., Sulman, E. P., Kesari, S., Pope, W., Holmes, R., Chau, A., Teoh, E. J., Chao, S. T., Aboian, M., & PURSUE Study Group: 18F-Fluciclovine for Detection of Recurrent Brain Metastases After Radiation Therapy: Image Interpretation Criteria and Diagnostic Performance From the PURSUE Study. International journal of radiation oncology, biology, physics S0360-3016(26): 00431-1, February 2026 Notes: DOI: 10.1016/j.ijrobp.2026.02.239.
1ca Weiss, D., Hager, T., Lin, M., Sritharan, D., Bousabarah, K., Renninghoff, D., Holler, W., Simmons, K., Haubold, J., Loh, S., Fischer, U., Chapiro, J., Deuschl, C., Aboian, M., Aboian, E., & Aneja, S.: Deep learning based volumetric analysis of infrarenal abdominal aortic aneurysms characterized on CTA. NPJ digital medicine 9(1): 87, Jan 2026 Notes: DOI: 10.1038/s41746-025-02262-1.
18f 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.
21c 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.
251 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.
14c 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. 2 104 : 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.
274 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.
24d 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.
1d3 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.
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Selected Publications
27c 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.A8959.278 Kotecha, R., Chiang, V., Tom, M. C., Parent, E., Nabavizadeh, A., Siegel, B. A., Huang, J., Zan, E., Peddi, S., Brem, S., Ware, M., Sulman, E. P., Kesari, S., Pope, W., Holmes, R., Chau, A., Teoh, E. J., Chao, S. T., Aboian, M., & PURSUE Study Group: 18F-Fluciclovine for Detection of Recurrent Brain Metastases After Radiation Therapy: Image Interpretation Criteria and Diagnostic Performance From the PURSUE Study. International journal of radiation oncology, biology, physics S0360-3016(26): 00431-1, February 2026 Notes: DOI: 10.1016/j.ijrobp.2026.02.239.
1ca Weiss, D., Hager, T., Lin, M., Sritharan, D., Bousabarah, K., Renninghoff, D., Holler, W., Simmons, K., Haubold, J., Loh, S., Fischer, U., Chapiro, J., Deuschl, C., Aboian, M., Aboian, E., & Aneja, S.: Deep learning based volumetric analysis of infrarenal abdominal aortic aneurysms characterized on CTA. NPJ digital medicine 9(1): 87, Jan 2026 Notes: DOI: 10.1038/s41746-025-02262-1.
18f 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.
21c 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.
251 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.
14c 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. 2 104 : 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.
274 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.
24d 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.
1d3 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.
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