260 citations
- University of PennsylvaniaUS8 papers
- Mayo Clinic in FloridaUS3 papers
- California Institute of TechnologyUS2 papers
- Children's Hospital of PhiladelphiaUS2 papers
- Cornell UniversityUS2 papers
- Harvard UniversityUS2 papers
- Heidelberg UniversityDE2 papers
- Lund UniversitySE2 papers
- Massachusetts General HospitalUS2 papers
- Mayo Clinic in ArizonaUS2 papers
- McGill UniversityCA2 papers
- National Institutes of HealthUS2 papers
12 papers
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…
A sensitive, high-resolution, wide-field IRAM NOEMA CO(1-0) survey of the very nearby spiral galaxy IC 342
M. Querejeta, J. Pety, A. Schruba +31
We present a new wide-field 10.75 x 10.75 arcmin^2 (~11x11 kpc^2), high-resolution (theta = 3.6" ~ 60 pc) NOEMA CO(1-0) survey of the very nearby (d=3.45 Mpc) spiral galaxy IC 342.…
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
Kai Zhang, Rong Zhou, Eashan Adhikarla +20
Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to ut…
Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI
Mengjin Dong, Long Xie, Sandhitsu R. Das +5
Longitudinal assessment of brain atrophy, particularly in the hippocampus, is a well-studied biomarker for neurodegenerative diseases, such as Alzheimer's disease (AD). In clinical…
The Correlation Calibration of PAPER-64 data
Tamirat G. Gogo, Yin-Zhe Ma, Piyanat Kittiwisit +21
Observation of redshifted 21-cm signal from the Epoch of Reionization (EoR) is challenging due to contamination from the bright foreground sources that exceed the signal by several…
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline
Long Xie, Laura E. M. Wisse, Jiancong Wang +6
Deep learning (DL) is the state-of-the-art methodology in various medical image segmentation tasks. However, it requires relatively large amounts of manually labeled training data,…