Benjamin H. Kann

Also affiliated with Harvard University, Maastricht University, Dana-Farber Cancer Institute, Dana-Farber Brigham Cancer Center, Artificial Intelligence in Medicine (Canada), Mass General Brigham

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 37 papers. Top paper: “Artificial intelligence in radiation oncology”.

Artificial intelligence in radiation oncology

Nature Reviews Clinical Oncology(2020)10.1038/s41571-020-0417-8

N/A

0.903DataRank · unranked

410 citations

Ahmed Hosny, Christian V. Guthier, Danielle S. Bitterman, Steven Petit, Daphne A. Haas‐Kogan +4 more

Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas

Neuro-Oncology(2024)10.1093/neuonc/noae173

N/A

0.515DataRank · unranked

30 citations

Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Jirapat Likitlersuang, Juan Carlos Pardo +18 more

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer

npj Digital Medicine(2021)10.1038/s41746-021-00416-5

N/A

0.510DataRank · unranked

29 citations

Jakob Weiß, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox +11 more

Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning

medRxiv(2023)10.1101/2023.08.04.23293673

N/A

0.269DataRank · unranked

5 citations

Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam +16 more

Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs

American Journal of Neuroradiology(2024)10.3174/ajnr.a8581

N/A

0.269DataRank · unranked

5 citations

Neda Khalili, Nastaran Khalili, Cassidy Schuman, Evan Grove, Karthik Viswanathan +10 more

The impact of responding to patient messages with large language model assistance

arXiv (Cornell University)(2023)10.48550/arxiv.2310.17703

N/A

0.208DataRank · unranked

3 citations

Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann +10 more

Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: benchmarking data sharing and artificial intelligence use-cases

medRxiv(2022)10.1101/2022.01.22.22269695

N/A

0DataRank · unranked

1 citations

Kareem A. Wahid, Enrico Glerean, Joel Jaskari, Mohamed A. Naser, Renjie He +5 more

Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00046-8

N/A

0DataRank · unranked

74 citations

Jirapat Likitlersuang, Dennis Bontempi, Zezhong Ye, Sanjay Aneja, Richard L. Bakst +16 more

Automated temporalis muscle quantification and growth charts for children through adulthood

Nature Communications(2023)10.1038/s41467-023-42501-1

N/A

0DataRank · unranked

17 citations

Kevin X. Liu, Anurag Saraf, Zezhong Ye, Paul J. Catalano, Viviana Benitez +18 more

International medical tourism of US cancer patients for alternative cancer treatments: Financial, demographic, and clinical profiles of online crowdfunding campaigns

Cancer Medicine(2023)10.1002/cam4.5636

N/A

0DataRank · unranked

7 citations

Trevor Wilson, Melissa H. Watt, Josh Gruhl, Sydney Davis, Jaxon Olsen +9 more

Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases

Frontiers in Oncology(2023)10.3389/fonc.2023.1120392

N/A

0DataRank · unranked

10 citations

Kareem A. Wahid, Enrico Glerean, Joel Jaskari, Mohamed A. Naser, Renjie He +5 more

Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning

medRxiv(2023)10.1101/2023.06.29.23292048

N/A

0DataRank · unranked

18 citations

Zezhong Ye, Sanjay P. Prabhu, Michael C. Tjong, Yining Zha, Anna Zapaishchykova +12 more

Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-case

medRxiv(2023)10.1101/2023.02.20.23286188

N/A

0DataRank · unranked

7 citations

Joel Jaskari, Kareem A. Wahid, Sara Ahmed, Enrico Glerean, Renjie He +6 more

Large Language Models to Identify Social Determinants of Health in Electronic Health Records

arXiv (Cornell University)(2023)10.48550/arxiv.2308.06354

N/A

0DataRank · unranked

7 citations

Shan Chen, Spencer A. Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann +9 more

Decoding biological age from face photographs using deep learning

medRxiv(2023)10.1101/2023.09.12.23295132

N/A

0DataRank · unranked

6 citations

Dennis Bontempi, Danielle S. Bitterman, Nicolai J. Birkbak, Derek Shyr, Fridolin Haugg +17 more

Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline

medRxiv(2023)10.1101/2023.03.01.23286638

N/A

0DataRank · unranked

1 citations

Anurag Saraf, Yashwanth Ravipati, Frank Hoebers, Yining Zha, Anna Zapaishchykova +16 more

Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

arXiv (Cornell University)(2023)10.48550/arxiv.2310.10867

N/A

0DataRank · unranked

1 citations

Carlos Cárdenas, Barbara Marquez, Tucker Netherton, Benjamin H. Kann, Laurence E. Court +6 more

Large language models to identify social determinants of health in electronic health records

npj Digital Medicine(2024)10.1038/s41746-023-00970-0

N/A

0DataRank · unranked

264 citations

Shan Chen, Spencer A. Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann +10 more

The effect of using a large language model to respond to patient messages

The Lancet Digital Health(2024)10.1016/s2589-7500(24)00060-8

N/A

0DataRank · unranked

129 citations

Marco Guevara-Vega, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann +12 more

Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning

Radiology Artificial Intelligence(2024)10.1148/ryai.230333

N/A

0DataRank · unranked

30 citations

Zezhong Ye, Anna Zapaischykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam +16 more

Towards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation

Neuro-Oncology(2024)10.1093/neuonc/noae093

N/A

0DataRank · unranked

25 citations

Anahita Fathi Kazerooni, Arastoo Vossough, Jeffrey B. Ware, Sina Bagheri, Nastaran Khalili +16 more

Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario

Radiology Artificial Intelligence(2024)10.1148/ryai.230254

N/A

0DataRank · unranked

21 citations

Zezhong Ye, Sanjay P. Prabhu, Michael C. Tjong, Yining Zha, Anna Zapaishchykova +13 more

Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning

Communications Medicine(2024)10.1038/s43856-024-00528-5

N/A

0DataRank · unranked

18 citations

Joel Jaskari, Kareem A. Wahid, Sara Ahmed, Enrico Glerean, Renjie He +6 more

Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

Advances in Radiation Oncology(2024)10.1016/j.adro.2024.101521

N/A

0DataRank · unranked

7 citations

Carlos Cárdenas, Barbara Marquez, Tucker Netherton, Benjamin H. Kann, Laurence E. Court +6 more

Edge roughness quantifies impact of physician variation on training and performance of deep learning auto-segmentation models for the esophagus

Scientific Reports(2024)10.1038/s41598-023-50382-z

N/A

0DataRank · unranked

3 citations

Christopher E. Kehayias, John Cijiang He, Hugo J.W.L. Aerts, Kelly Fitzgerald, Benjamin H. Kann +4 more

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

arXiv (Cornell University)(2024)10.48550/arxiv.2404.15009

N/A

0DataRank · unranked

7 citations

Nastaran Khalili, Xinyang Liu, Deep Gandhi, Zhifan Jiang, Syed Muhammed Anwar +66 more

Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy

arXiv (Cornell University)(2024)10.48550/arxiv.2402.16619

N/A

0DataRank · unranked

0 citations

Benjamin H. Kann, Zezhong Ye, Anna Zapaishchykova, John He, Shu‐Hui Hsu +6 more

FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

The Lancet Digital Health(2025)10.1016/j.landig.2025.03.002

N/A

0DataRank · unranked

33 citations

Osbert C. Zalay, Danielle S. Bitterman, Nicolai J. Birkbak, Derek Shyr, Fridolin Haugg +17 more

International multispecialty expert physician preoperative identification of extranodal extension in patients with oropharyngeal cancer using computed tomography: Prospective blinded human inter‐observer performance evaluation

Cancer(2025)10.1002/cncr.35815

N/A

0DataRank · unranked

6 citations

Serageldin Kamel, Kareem A. Wahid, Cem Dede, Nicolette Taku, Renjie He +42 more

Artificial Intelligence Measured Tumor Burden and Pre‐Treatment Circulating Tumor DNA in Human Papilloma Virus‐Associated Oropharynx Cancer

Head & Neck(2025)10.1002/hed.28180

N/A

0DataRank · unranked

4 citations

Zezhong Ye, Jonathan D. Schoenfeld, Homan Mohammadi, Jeffrey P. Guenette, Eleni M. Rettig +3 more

Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study

Neuro-Oncology Advances(2025)10.1093/noajnl/vdaf145

N/A

0DataRank · unranked

1 citations

Anna Zapaishchykova, Aidan Boyd, Divyanshu Tak, John Zielke, Maryam Mahootiha +16 more

TissUnet: Improved extracranial tissue and cranium segmentation for children through adulthood

Imaging Neuroscience(2025)10.1162/imag.a.1067

N/A

0DataRank · unranked

0 citations

Elvira Yang, Anna Zapaishchykova, Yu-Hui Chen, Lucas Heilbroner, John Zielke +15 more

Artificial intelligence for clinical oncology

Cancer Cell(2021)10.1016/j.ccell.2021.04.002

N/A

0DataRank · unranked

363 citations

Ahmed Hosny, Hugo J.W.L. Aerts, Benjamin H. Kann

The Clinician's Guide to the Machine Learning Galaxy

Frontiers in Physiology(2021)10.3389/fphys.2021.658583

N/A

0DataRank · unranked

9 citations

Benjamin H. Kann, Richard A. Taylor, Dennis Shung, Lin Shen

Surgical complications and clinical outcomes after dose-escalated trimodality therapy for non-small cell lung cancer in the era of intensity-modulated radiotherapy

Radiotherapy and Oncology(2021)10.1016/j.radonc.2021.10.012

N/A

0DataRank · unranked

4 citations

Kailan Sierra-Davidson, Kevin Tyan, Lawrence Orlina, Judith Marcoux, Benjamin H. Kann +5 more

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00129-7

N/A

0DataRank · unranked

72 citations

Danielle S. Bitterman, Christian V. Guthier, Jack M. Qian, Hannah Roberts, Subha Perni +11 more

Deep Learning–based Detection of Intravenous Contrast Enhancement on CT Scans

Radiology Artificial Intelligence(2022)10.1148/ryai.210285

N/A

0DataRank · unranked

22 citations

Jack M. Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang +5 more