Brian Piening

According to our database, Brian Piening authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.

Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang

CoRR, 2024

Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer.

Narmada Naik, Ayush Khandelwal, Mohit Joshi, Madhusudan Atre, Hollis Wright, Kavya Kannan, Scott Hill, Giridhar Mamidipudi, Ganapati Srinivasa, Carlo Bifulco, Brian Piening, Kevin Matlock

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.

Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon

Patterns, April, 2023

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models.

Javier González Hernández, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Oravkin, Emre Kiciman, Aditya V. Nori, Roshanthi Weerasinghe, Rom S. Leidner, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

CoRR, 2023

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.

Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision.

Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon

CoRR, 2022

2021

iNetModels 2.0: an interactive visualization and database of multi-omics data.

Muhammad Arif, Cheng Zhang, Xiangyu Li, Cem Güngör, Bugra Çakmak, Metin Arslantürk, Abdellah Tebani, Berkay Özcan, Oguzhan Subas, Wenyu Zhou, Brian Piening, Hasan Turkez, Linn Fagerberg, Nathan Price, Leroy Hood, Michael Snyder, Jens Nielsen, Mathias Uhlen, Adil Mardinoglu

Nucleic Acids Res., 2021