443 citations
- National Institutes of HealthUS7 papers
- Rush UniversityUS5 papers
- University of ChicagoUS5 papers
- University of KansasUS5 papers
- Johns Hopkins UniversityUS4 papers
- Massachusetts Institute of TechnologyUS4 papers
- Northwestern UniversityUS4 papers
- RWTH Aachen UniversityDE4 papers
- Tel Aviv UniversityIL4 papers
- University College LondonGB4 papers
- University of Bari Aldo MoroIT4 papers
- University of PannoniaHU4 papers
48 papers
Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
Andrew H. Zhang, Alex He-Mo, Richard Fei Yin +9
Study Objectives: We investigate a Mamba-based deep learning approach for sleep staging on signals from ANNE One (Sibel Health, Evanston, IL), a non-intrusive dual-module wireless…
The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods
Ziv Yaniv, Ifeanyichukwu U. Anidi, Leanne Arakkal +59
The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The d…
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
Chenyu Gao, Michael E. Kim, Karthik Ramadass +27
Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting ea…
The IBEX Knowledge-Base: Achieving more together with open science
Andrea J. Radtke, Ifeanyichukwu Anidi, Leanne Arakkal +55
Iterative Bleaching Extends multipleXity (IBEX) is a versatile method for highly multiplexed imaging of diverse tissues. Based on open science principles, we created the IBEX Knowl…
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…
The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning
Shan Guleria, Benjamin Schwartz, Yash Sharma +12
Introduction: Technical burdens and time-intensive review processes limit the practical utility of video capsule endoscopy (VCE). Artificial intelligence (AI) is poised to address…