Cover Image

Atherosclerosis through Hierarchical Explainable Neural Network Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Adam, Irsyad, Swee, Steven, Yilin, Erika, Ji, Ethan, Speier, William, Wang, Dean, Bui, Alex, Wang, Wei, Watson, Karol, Ping, Peipei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Platform for Representation and Integration of multimodal Molecular Embeddings
by: Zheng, Erika Yilin, et al.
Published: (2025)

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
by: Baradwaj, Simha Sankar, et al.
Published: (2024)

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models
by: Pelletier, Alexander R., et al.
Published: (2024)

STACT-Time: Spatio-Temporal Cross Attention for Cine Thyroid Ultrasound Time Series Classification
by: Adam, Irsyad, et al.
Published: (2025)

Enhancing Explainability of Graph Neural Networks Through Conceptual and Structural Analyses and Their Extensions
by: Bui, Tien Cuong
Published: (2025)

Exploring the Molecular Functions and Immune Relevance of Macrophage‐Associated Genes in Atherosclerosis
by: Chenchen Yu, et al.
Published: (2025)

Smart Campus as Digital Transformation in Indonesian Universities: A Research Landscape Perspective
by: Yelfi, Vitriani, et al.
Published: (2026)

Mentality: A Mamba-based Approach towards Foundation Models for EEG
by: Panchavati, Saarang, et al.
Published: (2025)

LLEXICORP: End-user Explainability of Convolutional Neural Networks
by: Kůr, Vojtěch, et al.
Published: (2025)

Hidden Conflicts in Neural Networks and Their Implications for Explainability
by: Dejl, Adam, et al.
Published: (2023)

Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN)
by: Batley, Reza T., et al.
Published: (2025)

FlowX: Towards Explainable Graph Neural Networks via Message Flows
by: Gui, Shurui, et al.
Published: (2022)

Endothelial BMP6 Drives Hemodynamic‐Dependent VSMCs Calcification in Carotid Atherosclerosis
by: Shen Li, et al.
Published: (2025)

Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study
by: Zhang, Xuzhe, et al.
Published: (2024)

GenVarFormer: Predicting gene expression from long-range mutations in cancer
by: Laub, David, et al.
Published: (2025)

Explainable AI for Intelligence Analysis
by: Alex Mathew
Published: (2023)

Grokking as Dimensional Phase Transition in Neural Networks
by: Wang, Ping
Published: (2026)

Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification
by: Jahan, Sigma, et al.
Published: (2025)

Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
by: Chen, Weidao, et al.
Published: (2025)

Explainable Graph Neural Networks Under Fire
by: Li, Zhong, et al.
Published: (2024)

sEMG‐Based Explainable Neural Networks Using Transfer Learning for Intersubject Finger‐Joint‐Angle Estimation
by: Zhouping Chen, et al.
Published: (2025)

Progress of Fluorescent Probes for Protein Phosphorylation and Glycosylation in Atherosclerosis
by: Jin Li, et al.
Published: (2024)

PAWN: Piece Value Analysis with Neural Networks
by: Tang, Ethan, et al.
Published: (2026)

Patient-specific Biomolecular Instruction Tuning
by: Adam, Irsyad, et al.
Published: (2025)

HiPreNets: High-Precision Neural Networks through Progressive Training
by: Mulle, Ethan, et al.
Published: (2025)

An Empirical Analysis of Neural Network-Assisted Air Data Estimation for Unmanned Aerial Systems
by: Ethan Thompson, et al.
Published: (2021)

Exploring the Nexus of Many-Body Theories through Neural Network Techniques: the Tangent Model
by: Liang, Senwei, et al.
Published: (2025)

Effective resistance in planar graphs and continued fractions
by: Chan, Swee Hong, et al.
Published: (2025)

Spanning trees and continued fractions
by: Chan, Swee Hong, et al.
Published: (2024)

Atherosclerosis
by: Lusis Aldons J
Published: (2000)

Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
by: Wang, Zekun, et al.
Published: (2025)

Independent Sets and Continued Fractions
by: Chan, Swee Hong, et al.
Published: (2026)

HRR: Hierarchical Retrospection Refinement for Generated Image Detection
by: Yuan, Peipei, et al.
Published: (2025)

Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care
by: Rincon, John, et al.
Published: (2025)

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
by: Oh, YongKyung, et al.
Published: (2025)

Biomimetic Nanoparticles for the Diagnosis and Therapy of Atherosclerosis
by: Yan Wang, et al.
Published: (2024)

Bayesian Neural Networks: An Introduction and Survey
by: Goan, Ethan, et al.
Published: (2020)

Normalized matching property for competing urn models
by: Chan, Swee Hong
Published: (2025)

La estructura de la fuerza de trabajo en los Estados Malayos
by: Swee-Hock Saw
Published: (1968)

The structure of the labour force in Malaya
by: Swee-Hock Saw
Published: (1968)