no code implementations • 10 Apr 2024 • Nicholas Konz, YuWen Chen, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski
Modern medical image translation methods use generative models for tasks such as the conversion of CT images to MRI.
no code implementations • 16 Mar 2024 • YuWen Chen, Nicholas Konz, Hanxue Gu, Haoyu Dong, Yaqian Chen, Lin Li, Jisoo Lee, Maciej A. Mazurowski
We evaluate our method by training a segmentation model on images translated from CT to MRI with their original CT masks and testing its performance on real MRIs.
1 code implementation • 7 Feb 2024 • Nicholas Konz, YuWen Chen, Haoyu Dong, Maciej A. Mazurowski
Diffusion models have enabled remarkably high-quality medical image generation, yet it is challenging to enforce anatomical constraints in generated images.
1 code implementation • 23 Jan 2024 • Hanxue Gu, Roy Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, YuWen Chen, Lin Li, Jichen Yang, Jay Willhite, Alex M. Meyer, Brian Guo, Yashvi Atul Shah, Emily Luo, Shipra Rajput, Sally Kuehn, Clark Bulleit, Kevin A. Wu, Jisoo Lee, Brandon Ramirez, Darui Lu, Jay M. Levin, Maciej A. Mazurowski
In our study, we propose a versatile, publicly available deep-learning model for bone segmentation in MRI across multiple standard MRI locations.
no code implementations • 26 Dec 2023 • Xin Yuan, Ning li, Tuo Zhang, Muqing Li, YuWen Chen, Jose Fernan Martinez Ortega, Song Guo
Specifically, when the mobile user has a large model inference task needed to be calculated in the NOMA-based MEC, it will take the energy consumption of both device and edge server and the inference latency into account to find the optimal model split strategy, subchannel allocation strategy (uplink and downlink), and transmission power allocation strategy (uplink and downlink).
no code implementations • 15 Nov 2023 • YuWen Chen, Helen Zhou, Zachary C. Lipton
Medical imaging data is often siloed within hospitals, limiting the amount of data available for specialized model development.
1 code implementation • 22 May 2023 • Helen Zhou, YuWen Chen, Zachary C. Lipton
Machine learning (ML) models deployed in healthcare systems must face data drawn from continually evolving environments.
no code implementations • 14 Nov 2022 • Helen Zhou, YuWen Chen, Zachary C. Lipton
Machine learning models deployed in healthcare systems face data drawn from continually evolving environments.
no code implementations • 21 Sep 2022 • Hui Su, Xiao Zhou, Houjin Yu, Xiaoyu Shen, YuWen Chen, Zilin Zhu, Yang Yu, Jie zhou
Large Language Models pre-trained with self-supervised learning have demonstrated impressive zero-shot generalization capabilities on a wide spectrum of tasks.
1 code implementation • Geoscientific Model Development 2019 • Xiaomeng Huang, Xing Huang, Dong Wang, Qi Wu, Yi Li, Shixun Zhang, YuWen Chen, Mingqing Wang, Yuan Gao, Qiang Tang, Yue Chen, Zheng Fang, Zhenya Song, Guangwen Yang
In this work, we design a simple computing library to bridge the gap and decouple the work of ocean modeling from parallel computing.