95 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of California, San FranciscoUS4 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
6 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…
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables
Igor Gotlibovych, Stuart Crawford, Dileep Goyal +6
We present a convolutional-recurrent neural network architecture with long short-term memory for real-time processing and classification of digital sensor data. The network implici…
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…