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Aboian Lab - Brain Tumor Research Group
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INFORMATION FOR

Lab Publications

2024

2023

2022

2021

2020

2019

Book Chapters

Book Chapters:

  1. Pedersen C, Messina S, Daldrup-Link H, Aboian M (2021) “PET/MRI Applications in Neuroimaging: Overview of Pediatric Neuroimaging” Springer
  2. Pedersen C, Messina S, Daldrup-Link H, Aboian M (2021) “PET/MRI Applications in Neuroimaging: Pediatric Epilepsy Neuroimaging” Springer
  3. Pedersen C, Messina S, Daldrup-Link H, Aboian M (2021) “PET/MRI Applications in Neuroimaging: Pediatric Oncologic Brain and Head and Neck Neuroimaging” Springer
  4. Pedersen C, Messina S, Daldrup-Link H, Aboian M (2021) “PET/MRI Applications in Neuroimaging: Pediatric Oncologic Spine Neuroimaging” Springer
  5. Shooli H, Assadi M, Nabavizadeh SA, Aboian M (2021) “Amino Acid PET Imaging applications in Neuro-Oncology” Springer
  6. Shooli H, Aboian M (2021) “FDG PET/MRI Imaging applications in Neuro-Oncology” Springer

Abstracts and Presentations

  1. Aboian M, Bousabarah K, Holler W, Kazarian E, Mahajan A, Malhotra A, Lin M, Westerhoff M “A workflow efficient PACS based automated brain tumor segmentation and radiomic feature extraction” ASNR Oral Presentation
  2. Kazarian M, Cui J, Mahajan A, Aboian M “Comprehensive analysis of driver mutation profile in a cohort of lung cancer patients using targeted gene panel analysis” ASNR Oral Presentation, Cornelius Dyke Semi-Finalist
  3. Subramanian H, Brim WR, Brackett A, Hans M, Johnson M, Malhotra A, Aboian M “How to begin your first AI project: A tutorial based on the diagnosis and management of glioma” ASNR Educational Exhibit
  4. Kazarian W, Marks A, Cui J, Darbinian A, Tong E, Kline C, Cha S, Aboian M “Topographical expression patterns of genes implicated as driver mutations in pediatric high grade gliomas” ASNR Oral Presentation
  5. Najmi Varzaneh F, Cui J, Aboian M “Time is of the essence: Longitudinal Imaging Characteristics of High Grade Gliomas before and after Immunotherapy” ASNR Oral Presentation
  6. Najmi Varzaneh F, Aboian M “Deciphering the clinical trials of immunotherapy in High-grade Gliomas: What a Neuroradiologist Needs to Know.” ASNR Educational Exhibit, Certificate of Merit Award
  7. Lee M, Brackett A, Brim W, Aboian M, Johnson M “Endovascular devices for the treatment of intracranial aneurysms and post procedure imaging”, ASNR Educational Exhibit
  8. Sikder J, Mahajan A, Aboian M “Immunotherapy Clinical Trials in Melanoma: Imaging Melanoma Metastatic Disease during Treatment with Immunotherapy”, ASNR Educational Exhibit
  9. Kazarian E, Port J, Aboian M “Novel Machine learning method for clinically significant cortical lesion detection in multiple sclerosis”, ASNR Oral Presentation
  10. Pedersen C, Messina G, Daldrup-Link H, Franeschi A, Aboian MS “PET/MRI in pediatric imaging: primer for implementation in clinical practice and research” ASNR Educational Exhibit, Summa Cum Laude Award
  11. Kazarian EK, Aboian MS, Tillema JM, Krecke KN, Morris PP, Cohen A, Dahl DR, Singh M, Port JD “Novel machine learning method for clinically significant cortical lesion detection in multiple sclerosis” ISMRM, Oral Presentation
  12. Verma T, Lost JP, Tillmanns NJ, Brim WR, Subramanian H, Ikuta I, Bronen R, Zucconi W, Lin M, Bousabarah K, Johnson MH, Cui J, Malhotra A, Sabel M, Aboian MS “Classification of Glioma Molecular Subtype via Artificial Intelligence Algorithms using Pre-Therapy MR Imaging: A Systematic Literature Review” SIIM, Oral presentation
  13. Kazarian M, Cui J, Tocino I, Mahajan A, Aboian M OTHR-11 “Comprehensive analysis of Driver Mutation Profile in a Cohort of Lung Cancer Patients Using Targeted Gene Panel Analysis with Focus on Brain Metastatic Disease” SNO Brain Metastases Neuro-Oncology Advances, Volume 3, Issue Supplement_3, August 2021, Page iii16, https://doi.org/10.1093/noajnl/vdab071.066
  14. Brim WR, Jekel L, Cassinelli Petersen G, Subramanian H, Zeevi T, Payabvash S, Bousabarah K, Lin M, Cui J, Brackett A, Malhotra A, Johnson M, Mahajan A, Aboian M OTHR-12. “The development of machine learning algorithms for the differentiation of glioma and brain metastases – a systematic review” SNO Brain Metastases Neuro-Oncology Advances, Volume 3, Issue Supplement_3, August 2021, Page iii17, https://doi.org/10.1093/noajnl/vdab071.067
  15. Jang B, Lin M, Owens R, Bousabarah K, Mahajan A, Abi Fadel S, Ikuta I, Tocino I, Aboian M OTHR-06. “PACS Lesion Tracking Tool provides real time automatic information on brain tumor metastasis growth curves and RECIST criteria” SNO Brain Metastases Neuro-Oncology Advances, Volume 3, Issue Supplement_3, August 2021, Page iii15, https://doi.org/10.1093/noajnl/vdab071.061
  16. Jekel L, Brim WR, Cassinelli Petersen G, Subramanian H, Zeevi T, Payabvash S, Bousabarah K, Lin M, Cui J, Brackett A, Johnson M, Malhotra A, Aboian M OTHR-15. “Assessment of TRIPOD adherence in articles developing machine learning models for differentiation of glioma from brain metastasis” SNO Brain Metastases Neuro-Oncology Advances, Volume 3, Issue Supplement_3, August 2021, Pages iii17–iii18, https://doi.org/10.1093/noajnl/vdab071.070
  17. Bahar R, Merkaj S, Aboian MS “Machine learning models for classifying high-and low-grade gliomas: A systematic review and quality of reporting analysis” Eastern Neuroradiology Annual Meeting, Oral Presentation
  18. Cassinelli Petersen G, Jang B, Jekel L, Lin M, Owens R, Bousabarah K, Mahajan A, Abi Fadel S, Ikuta I, Tocino I, Aboian M “Characterization Of Heterogenous Response To Treatment of Brain Metastases Using Growth Curves In PACS-Integrated Lesion Tracking Tool” Eastern Neuroradiology Annual Meeting, Oral Presentation
  19. Verma T, Lost JP, Tillmanns NJ, Brim WR, Subramanian H, Ikuta I, Bronen R, Zucconi W, Lin M, Bousabarah K, Johnson MH, Cui J, Malhotra A, Sabel M, Aboian MS “Classification of Glioma Molecular Subtype via Artificial Intelligence Algorithms using Pre-Therapy MR Imaging: A Systematic Literature Review” Eastern Neuroradiology Annual Meeting, Oral Presentation
  20. Merkaj S, Bousabarah K, Zeevi T, Lin M, Aboian MS “PACS based glioma segmentation and grade prediction for clinical implementation” ASFNR-ASNR AI workshop
  21. Cassinelli Petersen G, Merkaj S, Shatalov J, Verma T, Brim WR, Zeevi T, Subramanian H, Brackett A, Cui J, Johnson M, Malhotra A, Aboian MS “Machine Learning models for differentiation of gliomas versus primary CNS lymphomas – A systematic review” ASFNR Poster presentation
  22. Merkaj S, Bahar R, Cassinelli Petersen G, Tillmanns N, Subramanian H, Brim WR, Zeevi T, Staib L, Kazarian E, Lin M, Bousabarah K, Pala A, Payabvash S, Ivanidze J, Cui J, Tocino I, Malhotra A, Aboian MS “Machine learning models for classifying high – and low-grade gliomas: A systematic review and quality of reporting analysis” ASFNR Poster presentation
  23. Cassinelli Petersen G, Jang B, Jekel L, Lin M, Owens R, Bousabarah K, Mahajan A, Abi Fadel S, Ikuta I, Tocino I, Aboian M “Characterization of heterogeneous response to treatment of brain metastases using growth curves in PACS-integrated Lesion Tracking Tool” ASFNR Oral Presentation
  24. Merkaj S, Bahar RC, Brim WR, Subramanian H, Zeevi T, Kazarian E, Lin M, Bousabarah K, Payabvash S, Ivanidze J, Cui J, Tocino I, Malhotra A, Aboian M “Machine learning glioma grade prediction literature: A TRIPOD analysis of reporting quality” SNO Poster presentation
  25. Cassinelli Petersen G, Shatalov J, Brim WR, Subramanian H, Brackett A, Cui J, Johnson M, Malhotra A, Aboian M “A systematic review on the development of machine learning models for differentiating PCNSL from Gliomas” SNO Poster presentation
  26. Bahar RC, Merkaj S, Brim WR, Subramanian H, Zeevi T, Kazarian E, Lin M, Bousabarah K, Payabvash S, Ivanidze J, Cui J, Tocino I, Malhotra A, Aboian M “Machine learning Methods in Glioma Grade Prediction: A systematic review” SNO Poster presentation
  27. Lost JP, Verma T, Tillmans NJ, Brim WR, Subramanian H, Ikuta I, Bronen R, Zucconi W, Lin M, Bousabarah K, Johnson MH, Cui J, Malhotra A, Sabel M, Aboian MS “Systematic literature review of artificial intelligence algorithms using pre-therapy MR imaging for glioma molecular subtype classification” SNO Poster presentation
  28. Tillmans N, Lum A, Brim WR, Subramanian H, Payabvash S, Ikuta I, Lin M, Bousabarah K, Johnson M, Cui J, Malhotra A, Turowski B, Aboian MS “Measuring adherence to TRIPOD of Artificial Intelligence papers in the glioma segmentation” SNO Poster presentation
  29. Tillmans N, Lum A, Brim WR, Subramanian H, Payabvash S, Ikuta I, Lin M, Bousabarah K, Johnson M, Cui J, Malhotra A, Turowski B, Aboian MS “Identifying clinically applicable machine learning algorithms for glioma segmentation using a systematic literature review” SNO Poster presentation
  30. Shatalov J, Verma T, Subramanian H, Brim WR, Bazaar J, Johnson M, Aboian M “Systematic review of literature evaluating machine learning algorithms to develop outcome prediction models in gliomas using molecular imaging with FDG and Amino Acid PET” SNO Poster presentation
  31. Shooli H, Asadi M, Aboian MS “Amino Acid PET-MRI in Gliomas: A review from molecular principles to clinical applications” RSNA Educational exhibit
  32. Tillmans NJ, Lum AE, Brim WR, Subramanian H, Payabvash S, Ikuta I, Lin M, Bousabarah K, Johnson MH, Cui J, Malhotra A, Aboian MS “Identifying clinically applicable machine learning algorithms for glioma segmentation using a systematic literature review” RSNA Poster presentation
  33. Tillmans NJ, Lum AE, Brim WR, Subramanian H, Payabvash S, Ikuta I, Lin M, Bousabarah K, Johnson MH, Cui J, Malhotra A, Aboian MS “Measuring adherence to TRIPOD of artificial intelligence papers in the glioma segmentation” RSNA Poster presentation, RSNA Trainee Award
  34. Subramanian H, Dey R, Brim WR, Brackett A, Mahajan A, Malhotra A, Aboian M “Trends in development of novel machine learning methods for segmentation of gliomas in datasets that include non-glioma images: Systematic Review” RSNA Poster presentation
  35. Jekel L, Brim WR, Cassinelli Petersen GI, Subramanian H, Zeevi T, Payabvash S, Bousabarah K, Lin M, Cui J, Johnson MH, Malhotra A, Scheffler B, Aboian MS “Assessment of TRIPOD adherence in articles applying machine learning for differentiation of glioma from brain metastasis” RSNA Poster presentation