no code implementations • 17 Apr 2024 • Zooey Nguyen, Anthony Annunziata, Vinh Luong, Sang Dinh, Quynh Le, Anh Hai Ha, Chanh Le, Hong An Phan, Shruti Raghavan, Christopher Nguyen
This paper investigates the impact of domain-specific model fine-tuning and of reasoning mechanisms on the performance of question-answering (Q&A) systems powered by large language models (LLMs) and Retrieval-Augmented Generation (RAG).
no code implementations • 16 Apr 2023 • JieLin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen
Self-supervised learning is crucial for clinical imaging applications, given the lack of explicit labels in healthcare.
no code implementations • 3 Apr 2023 • Thomas Kunz, Christian Fisher, James La Novara-Gsell, Christopher Nguyen, Li Li
In particular, training a blue agent jointly with a red agent increases the blue agent's capability to thwart sophisticated red agents.
no code implementations • 22 Jul 2022 • Jonah Weigand-Whittier, Maria Sedykh, Kai Herz, Jaume Coll-Font, Anna N. Foster, Elizabeth R. Gerstner, Christopher Nguyen, Moritz Zaiss, Christian T. Farrar, Or Perlman
GAN-CEST images from a brain-tumor subject yielded a semi-solid volume fraction and exchange rate NRMSE of 3. 8$\pm$1. 3% and 4. 6$\pm$1. 3%, respectively, and SSIM of 96. 3$\pm$1. 6% and 95. 0$\pm$2. 4%, respectively.
Generative Adversarial Network Magnetic Resonance Fingerprinting +1
no code implementations • 25 May 2022 • Makiya Nakashima, Inyeop Jang, Ramesh Basnet, Mitchel Benovoy, W. H. Wilson Tang, Christopher Nguyen, Deborah Kwon, Tae Hyun Hwang, David Chen
Training deep learning models on cardiac magnetic resonance imaging (CMR) can be a challenge due to the small amount of expert generated labels and inherent complexity of data source.
1 code implementation • BME Frontiers 2022 • Angela Zhang, Amil Khan, Saisidharth Majeti, Judy Pham, Christopher Nguyen, Peter Tran, Vikram Iyer, Ashutosh Shelat, Jefferson Chen, B. S. Manjunath
The segmentation and network features are used to train a model for NPH prediction.