output
20062025
most citedFunction Constrains Network Architecture and Dynamics: A Case Study on the Yeast Cell Cycle Boolean Network

95 citations

6 papers

cs.CV2025★ 4 cited

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…

physics.med-ph2024★ 4 cited

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…

cs.CL2024★ 31 cited

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…

eess.IV2022★ 22 cited

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…

stat.ML2018★ 21 cited

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…

q-bio.MN2006★ 95 cited

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…