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- Harvard UniversityUS95 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS39 papers
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- Boston Children's HospitalUS8 papers
- Harvard–MIT Division of Health Sciences and TechnologyUS8 papers
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18 papers · 1 filter
Foundation Models in Biomedical Imaging: Turning Hype into Reality
Amgad Muneer, Kai Zhang, Ibraheem Hamdi +6
Foundation models (FMs) are driving a prominent shift in biomedical imaging from task-specific models to unified backbone models for diverse tasks. This opens an avenue to integrat…
GACELLE: GPU-accelerated tools for model parameter estimation and image reconstruction
Kwok-Shing Chan, Hansol Lee, Yixin Ma +4
Quantitative MRI (qMRI) offers tissue-specific biomarkers that can be tracked over time or compared across populations; however, its adoption in clinical research is hindered by si…
Closed-loop Control of Steerable Balloon Endoscopes for Robot-assisted Transcatheter Intracardiac Procedures
Max McCandless, Jonathan Hamid, Sammy Elmariah +2
To move away from open-heart surgery towards safer transcatheter procedures, there is a growing need for improved imaging techniques and robotic solutions to enable simple, accurat…
Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation
Jyun-Ping Kao, Shinyeong Rho, Shahar Lazarev +5
Early diagnosis of attention-deficit/hyperactivity disorder (ADHD) in children plays a crucial role in improving outcomes in education and mental health. Diagnosing ADHD using neur…
MC BTS: simultaneously resolving magnetization transfer effect and relaxation for multiple components
Albert Jang, Hyungseok Jang, Nian Wang +2
We propose a signal acquisition and modeling framework for multi-component tissue quantification that encompasses transmit field inhomogeneity, multi-component relaxation and magne…
SingleStrip: learning skull-stripping from a single labeled example
Bella Specktor-Fadida, Malte Hoffmann
Deep learning segmentation relies heavily on labeled data, but manual labeling is laborious and time-consuming, especially for volumetric images such as brain magnetic resonance im…