95 citations
- University of California, San FranciscoUS3 papers
- Stanford UniversityUS2 papers
- Amazon (United States)US1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Association for the Advancement of Artificial IntelligenceUS1 paper
- Chang Gung Memorial HospitalTW1 paper
- City St George's, University of LondonGB1 paper
- Cornell UniversityUS1 paper
- Hospital Israelita Albert EinsteinBR1 paper
- Hospital São PauloBR1 paper
- Imperial College LondonGB1 paper
- Indiana University HealthUS1 paper
5 papers
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
Initial Experience of Metabolic Imaging with Hyperpolarized [1-13C]pyruvate MRI in Kidney Transplant Patients
Xiaoxi Liu, Ying-Chieh Lai., Di Cui +5
BACKGROUND: Kidney transplant is the treatment of choice for patients with end-stage renal disease. Early detection of allograft injury is important to delay or prevent irreversibl…
A dataset and benchmark for hospital course summarization with adapted large language models
Asad Aali, Dave Van Veen, Yamin Ishraq Arefeen +9
Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automati…
Label-free segmentation from cardiac ultrasound using self-supervised learning
Danielle L. Ferreira, Connor Lau, Zaynaf Salaymang +1
Segmentation and measurement of cardiac chambers is critical in cardiac ultrasound but is laborious and poorly reproducible. Neural networks can assist, but supervised approaches r…
Function Constrains Network Architecture and Dynamics: A Case Study on the Yeast Cell Cycle Boolean Network
Kai-Yeung Lau, Surya Ganguli, Chao Tang
We develop a general method to explore how the function performed by a biological network can constrain both its structural and dynamical network properties. This approach is ortho…