activity
20242026
most citedWhere Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

6 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang +124

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…

cs.LG2025

Adaptive Correction for Ensuring Conservation Laws in Neural Operators

Chaoyu Liu, Yangming Li, Zhongying Deng +2

Physical laws, such as the conversation of mass and momentum, are fundamental principles in many physical systems. Neural operators have achieved promising performance in learning…

cs.CV2025

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis

Zhongying Deng, Haoyu Wang, Ziyan Huang +6

Brain diseases, such as Alzheimer's disease and brain tumors, present profound challenges due to their complexity and societal impact. Recent advancements in brain foundation model…

eess.IV2025

D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction

Lipei Zhang, Rui Sun, Zhongying Deng +3

Variations in Magnetic resonance imaging (MRI) scanners and acquisition protocols cause distribution shifts that degrade reconstruction performance on unseen data. Test-time adapta…

cs.CV20246 cited

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Amer Essakine, Yanqi Cheng, Chun-Wun Cheng +5

Implicit Neural Representations (INRs) have emerged as a paradigm in knowledge representation, offering exceptional flexibility and performance across a diverse range of applicatio…