Dr. Kann is on Doximity
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Office
450 Brookline Ave
Boston, MA 02215Phone+1 617-632-5734Fax+1 617-394-2667
Education & Training
Yale-New Haven Medical CenterResidency, Radiation Oncology, 2015 - 2019
Newton-Wellesley HospitalInternship, Transitional Year, 2014 - 2015
Icahn School of Medicine at Mount SinaiClass of 2014
Certifications & Licensure
MA State Medical License 2019 - 2026
CT State Medical License 2017 - 2019- American Board of Preventive Medicine Clinical Informatics
- American Board of Radiology Radiation Oncology
Publications & Presentations
PubMed
- Empowering Data Sharing in Neuroscience: A Deep Learning De-identification Method for Pediatric Brain MRIs.Ariana M Familiar, Neda Khalili, Nastaran Khalili, Cassidy Schuman, Evan Grove
AJNR. American Journal of Neuroradiology. 2024-11-12 - 2 citationsTowards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation.Ariana M Familiar, Anahita Fathi Kazerooni, Arastoo Vossough, Jeffrey B Ware, Sina Bagheri
Neuro-Oncology. 2024-09-05 - Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas.Maryamalsadat Mahootiha, Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Jirapat Likitlersuang
Neuro-Oncology. 2024-08-30
Journal Articles
- Dose reduction to dysphagia/aspiration-related structures (DARS) in patients receiving induction chemotherapy (IC) followed by concurrent chemoradiation therapy (CCRT)...Kann BH, Carpenter TJ, Todorov B, Cotter R, Golchin A, Bakst R, Misiukiewicz K, Posner M, Gupta V, Journal of Radiation Oncology, 9/2014
Press Mentions
Yale Cancer Center Research Highlighted at ASTRO 2019September 17th, 2019
AI Algorithm May Improve Oropharynx Cancer Treatment GuidanceJanuary 20th, 1970- Artificial Intelligence Detects Sarcopenia in Head and Neck Cancer Patients, USAugust 14th, 2023
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