14.3k citations
- Harvard UniversityUS75 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS32 papers
- Massachusetts Institute of TechnologyUS14 papers
- Harvard University PressUS11 papers
- Brigham and Women's HospitalUS8 papers
- German Center for Neurodegenerative DiseasesDE7 papers
- Harvard–MIT Division of Health Sciences and TechnologyUS6 papers
- InsermFR6 papers
- University College LondonGB6 papers
- Boston Children's HospitalUS5 papers
- Boston UniversityUS5 papers
- Centre National de la Recherche ScientifiqueFR5 papers
7 papers · 1 filter
Correcting User Decisions Based on Incorrect Machine Learning Decisions
Saveli Goldberg, Lev Salnikov, Noor Kaiser +2
. It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average a…
Hevelius Report: Visualizing Web-Based Mobility Test Data For Clinical Decision and Learning Support
Hongjin Lin, Tessa Han, Krzysztof Z. Gajos +1
Hevelius, a web-based computer mouse test, measures arm movement and has been shown to accurately evaluate severity for patients with Parkinson's disease and ataxias. A Hevelius se…
Fast Whole-Brain MR Multi-Parametric Mapping with Scan-Specific Self-Supervised Networks
Amir Heydari, Abbas Ahmadi, Tae Hyung Kim +1
Quantification of tissue parameters using MRI is emerging as a powerful tool in clinical diagnosis and research studies. The need for multiple long scans with different acquisition…
Transformer-Based Local Feature Matching for Multimodal Image Registration
Remi Delaunay, Ruisi Zhang, Filipe C. Pedrosa +4
Ultrasound imaging is a cost-effective and radiation-free modality for visualizing anatomical structures in real-time, making it ideal for guiding surgical interventions. However,…
Precision game engineering through reshaping strategic payoffs
Elie Eshoa, Ali R. Zomorrodi
Nash equilibrium is a key concept in game theory fundamental for elucidating the equilibrium state of strategic interactions, finding applications in diverse fields such as economi…
A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising with Neural Network Approaches
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi +4
Low-dose emission tomography (ET) plays a crucial role in medical imaging, enabling the acquisition of functional information for various biological processes while minimizing the…