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Works (14)

Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction

American Journal of Neuroradiology
2023-10 | Journal article
Contributors: Jan Lost; Tej Verma; Leon Jekel; Marc von Reppert; Niklas Tillmanns; Sara Merkaj; Gabriel Cassinelli Petersen; Ryan Bahar; Ayyüce Gordem; Muhammad A. Haider et al.
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Crossref

Comparing Deep Learning and Classical Machine Learning Methods For Differentiating Primary CNS Lymphomas From Gliomas – A Systematic Review (P14-9.004)

Neurology
2022 | Journal article
Part of ISSN: 0028-3878
Source: Self-asserted source
Ryan Bahar

Development of a workflow efficient PACS based automated brain tumor segmentation and radiomic feature extraction for clinical implementation (N2.003)

Neurology
2022 | Journal article
Part of ISSN: 0028-3878
Source: Self-asserted source
Ryan Bahar

Integration of Machine Learning Into Clinical Radiology Practice – Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002)

Neurology
2022 | Journal article
Part of ISSN: 0028-3878
Source: Self-asserted source
Ryan Bahar

Semi-Automated Longitudinal Lesion Tracking In PACS Reveals High Proportion of Metastatic Lesions Showing Mixed Response To Radiosurgery (P14-9.001)

Neurology
2022 | Journal article
Part of ISSN: 0028-3878
Source: Self-asserted source
Ryan Bahar

The pipeline starts in medical school: characterizing clinician-educator training programs for U.S. medical students

Medical Education Online
2022-12-31 | Journal article
Contributors: Ryan C. Bahar; Aidan W. O’Shea; Eric S. Li; Madisen A. Swallow; August A. Allocco; Judy M. Spak; Janet P. Hafler
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Crossref

Deciphering the Clinical Trials of Immunotherapy in Glioblastoma: What a Neuroradiologist Needs to Know

Neurographics
2022-10-01 | Journal article
Part of ISSN: 2637-8329
Contributors: F.N. Varzaneh; S. Merkaj; G.C. Petersen; R.C. Bahar; L. Jekel; A. Pala; A. Malhotra; J. Ivanidze; M. Aboian
Source: Self-asserted source
Ryan Bahar

Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries

Neuro-Oncology Advances
2022-06-14 | Journal article
Part of ISSN: 2632-2498
Source: Self-asserted source
Ryan Bahar

Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities

Cancers
2022-05-25 | Journal article
Contributors: Sara Merkaj; Ryan C. Bahar; Tal Zeevi; MingDe Lin; Ichiro Ikuta; Khaled Bousabarah; Gabriel I. Cassinelli Petersen; Lawrence Staib; Seyedmehdi Payabvash; John T. Mongan et al.
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Crossref
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Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment

American Journal of Neuroradiology
2022-04 | Journal article
Contributors: G.I. Cassinelli Petersen; J. Shatalov; T. Verma; W.R. Brim; H. Subramanian; A. Brackett; R.C. Bahar; S. Merkaj; T. Zeevi; L.H. Staib et al.
Source: check_circle
Crossref

Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis

Frontiers in Oncology
2022-04-22 | Journal article
Part of ISSN: 2234-943X
Source: Self-asserted source
Ryan Bahar

NIMG-23. MACHINE LEARNING METHODS IN GLIOMA GRADE PREDICTION: A SYSTEMATIC REVIEW

Neuro-Oncology
2021-11-12 | Journal article
Part of ISSN: 1522-8517
Part of ISSN: 1523-5866
Source: Self-asserted source
Ryan Bahar

NIMG-35. MACHINE LEARNING GLIOMA GRADE PREDICTION LITERATURE: A TRIPOD ANALYSIS OF REPORTING QUALITY

Neuro-Oncology
2021-11-12 | Journal article
Part of ISSN: 1522-8517
Part of ISSN: 1523-5866
Source: Self-asserted source
Ryan Bahar

Acetylcholine Regulates Olfactory Perceptual Learning through Effects on Adult Neurogenesis

iScience
2019-12 | Journal article
Part of ISSN: 2589-0042
Source: Self-asserted source
Ryan Bahar