Benjamin H. Kann

Brigham and Women's Hospital — United States

Medicine · Health Sciences

29h-index4.0kcitations248works8.62yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(112), Head and Neck Cancer Studies(58), Artificial Intelligence in Healthcare and Education(42), Lung Cancer Diagnosis and Treatment(37), Advanced Radiotherapy Techniques(35)

Publications248 total

External validation of self-supervised transfer learning for noninvasive molecular subtyping of pediatric low-grade glioma using T2-weighted MRI
2026Open Access
Validation of Claims-Based Algorithms to Classify Thoracic Radiation Therapy Courses
JCO Clinical Cancer Informatics·2026
Automated Lymph Node and Extranodal Extension Assessment Improves Risk Stratification in Oropharyngeal Carcinoma
Journal of Clinical Oncology·2025· 1 citedOpen Access
Clinical Validation and Prospective Deployment of an Automated Deep Learning-Based Coronary Segmentation and Cardiac Toxicity Risk Prediction System.
PubMed·2025
FaceAge as a biomarker for prognosis and treatment stratification in large-scale oncology cohort
JNCI Journal of the National Cancer Institute·2025
RBIO-16. Mapping the Spatiotemporal Evolution of Diffuse Midline Glioma Under Radiotherapy
Neuro-Oncology·2025Open Access
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art
The Lancet Oncology·2025· 4 cited
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation
The Lancet Oncology·2025· 2 cited
Ratio of PTV to normal lung volumes as a dosimetric predictor for lung metrics in peripheral lung SBRT
Medical dosimetry·2025
Validation of Claims-Based Algorithms to Characterize Thoracic Radiation Therapy Treatment Courses: Are Claims Enough to Study Radiation Therapy?
International Journal of Radiation Oncology*Biology*Physics·2025Open Access
Automated Radiation Response Assessment with Deep Learning and Radiomics in Pediatric Diffuse Midline Glioma
International Journal of Radiation Oncology*Biology*Physics·2025Open Access
Geriatric assessment among vulnerable older adults undergoing stereotactic body radiotherapy for early-stage non-small cell lung cancer
Journal of Geriatric Oncology·2025
Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer
Scientific Reports·2025Open Access
Imaging biomarkers of ageing: a review of artificial intelligence-based approaches for age estimation
The Lancet Healthy Longevity·2025· 7 citedOpen Access
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
The Journal of Machine Learning for Biomedical Imaging·2025· 6 citedOpen Access
From Sim to Treat in Twenty Minutes With Your Artificial Intelligence Copilot
International Journal of Radiation Oncology*Biology*Physics·2025· 1 cited
Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
ArXiv.org·2025· 1 citedOpen Access
TissUnet: Improved Extracranial Tissue and Cranium Segmentation for Children through Adulthood
arXiv (Cornell University)·2025Open Access
Artificial Intelligence for Head and Neck Squamous Cell Carcinoma: From Diagnosis to Treatment
American Society of Clinical Oncology Educational Book·2025· 11 citedOpen Access
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
American Journal of Neuroradiology·2025· 1 citedOpen Access
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Frequent Co-authors

Hugo J.W.L. Aerts(20), Raymond H. Mak(11), Zezhong Ye(11), Danielle S. Bitterman(9), James B. Yu(9), Henry S. Park(9), Barbara Burtness(7), Daphne A. Haas‐Kogan(6), Skyler B. Johnson(6), Anna Zapaishchykova(6), Tina Young Poussaint(6), Christian V. Guthier(5), Sanjay Aneja(5), Paul J. Catalano(5), Seyedmehdi Payabvash(5), Jirapat Likitlersuang(5), Ariana Familiar(5), Ali Nabavizadeh(5), Aidan Boyd(5), Sridhar Vajapeyam(5)