Benjamin H Kann (Benjamin Kann)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Convolutional Neural Network

Top Venues

Radiology. Artificial intelligence

NPJ digital medicine

Communications medicine

Prostate cancer and prostatic diseases

This page only lists publications with an associated author ORCID identifier.

Publications

Jaakko Sahlsten, Joel Jaskari, Kareem A Wahid, Sara Ahmed, Enrico Glerean, Renjie He, Benjamin H Kann, Antti Aarni Mäkitie, Clifton David Fuller, Mohammed A Naser, Kimmo Kaski
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning. Communications medicine 4 (1) (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Jaakko Sahlsten, Joel Jaskari, Kareem A Wahid, Sara Ahmed, Enrico Glerean, Renjie He, Benjamin H Kann, Antti Aarni Mäkitie, Clifton David Fuller, Mohammed A Naser, Kimmo Kaski
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning. Communications medicine 4 (1) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-Level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-Level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam C Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence 6 (3) (2024)
Jaakko Sahlsten, Joel Jaskari, Kareem A Wahid, Sara Ahmed, Enrico Glerean, Renjie He, Benjamin H Kann, Antti Aarni Mäkitie, Clifton David Fuller, Mohammed A Naser, Kimmo Kaski
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning. Communications medicine 4 (1) (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam C Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence 6 (3) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Divyanshu Tak, Zezhong Ye, Anna Zapaishchykova, Yining Zha, Aidan Boyd, Sridhar Vajapeyam, Rishi Chopra, Hasaan Hayat, Sanjay P Prabhu, Kevin X Liu, Hesham Elhalawani, Ali Nabavizadeh, Ariana M Familiar, Adam C Resnick, Sabine Mueller, Hugo J W L Aerts, Pratiti Bandopadhayay, Keith L Ligon, Daphne A Haas-Kogan, T Young Poussaint, Benjamin H Kann
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial intelligence 6 (3) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Michal Kazmierski, Mattea L Welch, Sejin Kim, Christopher McIntosh, Katrina Rey-McIntyre, Shao Hui Huang, Tirth Patel, Tony Tadic, Michael F Milosevic, Fei-Fei Liu, Adam Ryczkowski, Joanna Kazmierska, Zezhong Ye, Deborah Plana, Hugo J W L Aerts, Benjamin H Kann, Scott V Bratman, Andrew J Hope, Benjamin Haibe-Kains
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics. Cancer research communications 3 (6) (2023)
Anna Zapaishchykova, Kevin X Liu, Anurag Saraf, Zezhong Ye, Paul J Catalano, Viviana Benitez, Yashwanth Ravipati, Arnav Jain, Julia Huang, Hasaan Hayat, Jirapat Likitlersuang, Sridhar Vajapeyam, Rishi B Chopra, Ariana M Familiar, Ali Nabavidazeh, Raymond H Mak, Adam C Resnick, Sabine Mueller, Tabitha M Cooney, Daphne A Haas-Kogan, Tina Y Poussaint, Hugo J W L Aerts, Benjamin H Kann
Automated temporalis muscle quantification and growth charts for children through adulthood. Nature communications 14 (1) (2023)
Osbert Zalay, Dennis Bontempi, Danielle S Bitterman, Nicolai Juul Birkbak, Derek Shyr, Fridolin Haugg, Jack M Qian, Hannah J Roberts, Subha Perni, Vasco Prudente, Suraj Pai, Andre Dekker, Benjamin Haibe-Kains, Christian Guthier, Tracy Balboni, Laura Warren, Monica Krishan, Benjamin H Kann, Charles Swanton, Dirk De Ruysscher, Raymond H Mak, Hugo J W L Aerts
Decoding biological age from face photographs using deep learning. medRxiv : the preprint server for health sciences (2023)
John S Peterson, Trevor F Wilson, Joshua D Gruhl, Sydney Davis, Jaxon Olsen, Matthew J Parsons, Benjamin H Kann, Angela Fagerlin, Melissa H Watt, Skyler B Johnson
Timing and Motivations for Alternative Cancer Therapy With Insights From a Crowdfunding Platform: Cross-sectional Mixed Methods Study. JMIR cancer 8 (2) (2022)
Zezhong Ye, Jack M Qian, Ahmed Hosny, Roman Zeleznik, Deborah Plana, Jirapat Likitlersuang, Zhongyi Zhang, Raymond H Mak, Hugo J W L Aerts, Benjamin H Kann
Deep Learning-based Detection of Intravenous Contrast Enhancement on CT Scans. Radiology. Artificial intelligence 4 (3) (2022)
Roman Zeleznik, Jakob Weiss, Jana Taron, Christian Guthier, Danielle S Bitterman, Cindy Hancox, Benjamin H Kann, Daniel W Kim, Rinaa S Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T Lu, Udo Hoffmann, Raymond H Mak, Hugo J W L Aerts
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. NPJ digital medicine 4 (1) (2021)
Joseph A Miccio, Wesley J Talcott, Vikram Jairam, Henry S Park, James B Yu, Michael S Leapman, Skyler B Johnson, Martin T King, Paul L Nguyen, Benjamin H Kann
Quantifying treatment selection bias effect on survival in comparative effectiveness research: findings from low-risk prostate cancer patients. Prostate cancer and prostatic diseases 24 (2) (2020)
Stefan P Haider, Tal Zeevi, Philipp Baumeister, Christoph Reichel, Kariem Sharaf, Reza Forghani, Benjamin H Kann, Benjamin L Judson, Manju L Prasad, Barbara Burtness, Amit Mahajan, Seyedmehdi Payabvash
Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma. Cancers 12 (7) (2020)