output
20122025
most citedIntegrative modeling of eQTLs and cis-regulatory elements suggest mechanisms underlying cell type specificity of eQTLs

204 citations

11 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…

eess.IV2024★ 14 cited

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023

Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +77

Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%.…

eess.IV2024★ 9 cited

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

Dominic LaBella, Ujjwal Baid, Omaditya Khanna +119

We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in…

q-bio.OT2024★ 9 cited

Enabling Global Image Data Sharing in the Life Sciences

Peter Bajcsy, Sreenivas Bhattiprolu, Katy Boerner +20

Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in the life sciences. In this White Paper, we tak…

cs.SE2023★ 2 cited

Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful?

Awan Afiaz, Andrey Ivanov, John Chamberlin +24

Software is vital for the advancement of biology and medicine. Analysis of usage and impact metrics can help developers determine user and community engagement, justify additional…

cs.LG2022★ 98 cited

A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models

Chao Yan, Yao Yan, Zhiyu Wan +5

Synthetic health data have the potential to mitigate privacy concerns when sharing data to support biomedical research and the development of innovative healthcare applications. Mo…