From the 9 of 128 papers with an AI index.
38 citations
- Australian Regenerative Medicine InstituteAU48 papers
- Massachusetts Institute of TechnologyUS44 papers
- Université Paris-SaclayFR44 papers
- University of ZurichCH44 papers
- Eötvös Loránd UniversityHU43 papers
- Rutherford Appleton LaboratoryGB43 papers
- University of Chinese Academy of SciencesCN43 papers
- University of Maryland, College ParkUS43 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT42 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT42 papers
- Jagiellonian UniversityPL42 papers
- Peking UniversityCN42 papers
5 papers · 1 filter
Boot-and-Feedback Framework for Generalist-Expert Model Collaboration in Breast Ultrasound Diagnosis
Ming Cheng, Hongyu Sun, Zhaolin Chen +3
Breast ultrasound (BUS) is widely used for breast cancer diagnosis yet remains operator-dependent. While deep learning shows promise, ensuring diagnostic reliability and interpreta…
A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras
Gauthier Grimmer, Romain Wenger, Clément Flint +3
The proliferation of floating anthropogenic debris in rivers has emerged as a pressing environmental concern, exerting a detrimental influence on biodiversity, water quality, and h…
A fine-grained attention and geometric correspondence model for musculoskeletal risk classification in athletes using multimodal visual and skeletal features
Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Tamanna Shermin +3
Musculoskeletal disorders pose significant risks to athletes, and early risk assessment is essential for prevention. However, most existing methods are designed for controlled sett…
DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition
Jingmin Zhu, Anqi Zhu, James Bailey +5
Zero-shot skeleton-based action recognition (ZS-SAR) is fundamentally constrained by prevailing approaches that rely on aligning skeleton features with static, class-level semantic…
Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis
Md Nahiduzzaman, Steven Korevaar, Zongyuan Ge +3
To be adopted in safety-critical domains like medical image analysis, AI systems must provide human-interpretable decisions. Variational Information Pursuit (V-IP) offers an interp…