output
20142025
most citedThe Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare

32 citations

7 papers

cs.CL2025★ 4 cited

Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments

Ryan A. Panela, Alex J. Barnett, Morgan D. Barense +1

Understanding how individuals perceive and recall information in their natural environments is critical to understanding potential failures in perception (e.g., sensory loss) and m…

cs.RO2024★ 32 cited

The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare

Souren Pashangpour, Goldie Nejat

The potential use of large language models (LLMs) in healthcare robotics can help address the significant demand put on healthcare systems around the world with respect to an aging…

cs.HC2024★ 3 cited

Image memorability predicts social media virality and externally-associated commenting

Shikang Peng, Wilma A. Bainbridge

Visual content on social media plays a key role in entertainment and information sharing, yet some images gain more engagement than others. We propose that image memorability - the…

q-bio.QM2024★ 1 cited

covSTATIS: a multi-table technique for network neuroscience

Giulia Baracchini, Ju-Chi Yu, Jenny Rieck +5

Similarity analyses between multiple correlation or covariance tables constitute the cornerstone of network neuroscience. Here, we introduce covSTATIS, a versatile, linear, unsuper…

cs.MS2020

Generalized eigen, singular value, and partial least squares decompositions: The GSVD package

Derek Beaton

The generalized singular value decomposition (GSVD, a.k.a. "SVD triplet", "duality diagram" approach) provides a unified strategy and basis to perform nearly all of the most common…

cs.CV2016★ 29 cited

Classification of Alzheimer's Disease Structural MRI Data by Deep Learning Convolutional Neural Networks

Saman Sarraf, Ghassem Tofighi

Recently, machine learning techniques especially predictive modeling and pattern recognition in biomedical sciences from drug delivery system to medical imaging has become one of t…

math.DG2014

Diffeomorphic image matching with left-invariant metrics

Tanya Schmah, Laurent Risser, François-Xavier Vialard

The geometric approach to diffeomorphic image registration known as "large deformation by diffeomorphic metric mapping" (LDDMM) is based on a left action of diffeomorphisms on imag…