3 papers
cs.CV2025
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
In medical image segmentation, convolutional neural networks (CNNs) and transformers are dominant. For CNNs, given the local receptive fields of convolutional layers, long-range sp…
cs.CL2024
Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings
Razi Mahmood, Pingkun Yan, Diego Machado Reyes +5
Several evaluation metrics have been developed recently to automatically assess the quality of generative AI reports for chest radiographs based only on textual information using l…
cs.LG2024
Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical Considerations
Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi +3
Content-addressable memories such as Modern Hopfield Networks (MHN) have been studied as mathematical models of auto-association and storage/retrieval in the human declarative memo…