:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Guanchen, Huang, Zhe, Xie, Yuzhang, Yan, Runze, Chopra, Akul, Qiu, Deqiang, Hu, Xiao, Wang, Fei, Yang, Carl
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.02434
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Utilizing Large Language Models for Zero-Shot Medical Ontology Extension from Clinical Notes
by: Wu, Guanchen, et al.
Published: (2025)

Towards Automatic Evaluation and Selection of PHI De-identification Models via Multi-Agent Collaboration
by: Wu, Guanchen, et al.
Published: (2025)

HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare
by: Xie, Yuzhang, et al.
Published: (2025)

LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
by: Shao, Mingchen, et al.
Published: (2026)

Diffusion-Based Synthesis of 3D T1w MPRAGE Images from Multi-Echo GRE with Multi-Parametric MRI Integration
by: Fang, Sizhe, et al.
Published: (2025)

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
by: Xie, Yuzhang, et al.
Published: (2024)

Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training
by: Xie, Yuzhang, et al.
Published: (2026)

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs
by: Xie, Yuzhang, et al.
Published: (2025)

Class-based Subset Selection for Transfer Learning under Extreme Label Shift
by: Goyal, Akul, et al.
Published: (2024)

MIRAGE: The Illusion of Visual Understanding
by: Asadi, Mohammad, et al.
Published: (2026)

BioMedJImpact: A Comprehensive Dataset and LLM Pipeline for AI Engagement and Scientific Impact Analysis of Biomedical Journals
by: Wang, Ruiyu, et al.
Published: (2025)

Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer
by: Cheng, Runze, et al.
Published: (2025)

Multi-modal MRI-Based Alzheimer's Disease Diagnosis with Transformer-based Image Synthesis and Transfer Learning
by: Qiu, Jason
Published: (2026)

Linking Circadian Rhythms to Gut‐Brain Axis Lipid Metabolism Associated With Endoplasmic Reticulum Stress in Alzheimer's Disease
by: Jianhui Su, et al.
Published: (2025)

MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
by: Gokce, Abdulkadir, et al.
Published: (2026)

Plasma pTau217 Predicts AD and Disease Progression in a Diverse Cohort
by: James J. Lah, et al.
Published: (2024)

Rage Music Classification and Analysis using K-Nearest Neighbour, Random Forest, Support Vector Machine, Convolutional Neural Networks, and Gradient Boosting
by: Kumar, Akul
Published: (2024)

The Evolution of RWKV: Advancements in Efficient Language Modeling
by: Datta, Akul
Published: (2024)

Cross-modal Causal Intervention for Alzheimer's Disease Prediction
by: Jin, Yutao, et al.
Published: (2025)

MIRAGE: Patient-Specific Mixed Reality Coaching for MRI via Depth-Only Markerless Registration and Immersive VR
by: Brooks, Daniel, et al.
Published: (2025)

NLDF: Neural Light Dynamic Fields for Efficient 3D Talking Head Generation
by: Guanchen, Niu
Published: (2024)

Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion
by: Zhang, Jiasheng, et al.
Published: (2024)

MIRAGE: Towards AI-Generated Image Detection in the Wild
by: Xia, Cheng, et al.
Published: (2025)

Knowledge Graph Augmented Large Language Models for Disease Prediction
by: Wang, Ruiyu, et al.
Published: (2025)

EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning
by: Wei, Mingyang, et al.
Published: (2026)

TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
by: Zhang, Ziyang, et al.
Published: (2024)

MRI Embeddings Complement Clinical Predictors for Cognitive Decline Modeling in Alzheimer's Disease Cohorts
by: Putera, Nathaniel, et al.
Published: (2025)

Multimodal MRI Accurately Identifies Amyloid Status in Unbalanced Cohorts in Alzheimer's Disease Continuum
by: Dolci, Giorgio, et al.
Published: (2024)

Architectural Isolation as a Timing Safety Primitive for Edge AI Medical Devices: Controlled Experimental Evidence on a Shared-Silicon Platform
by: Swami, Akul Mallayya
Published: (2026)

Knowledge Graph-Guided Retrieval Augmented Generation
by: Zhu, Xiangrong, et al.
Published: (2025)

MIRAGE: Multimodal Immersive Reasoning and Guided Exploration for Red-Team Jailbreak Attacks
by: You, Wenhao, et al.
Published: (2025)

Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis
by: Zhang, Shijia, et al.
Published: (2025)

QoSDiff: An Implicit Topological Embedding Learning Framework Leveraging Denoising Diffusion and Adversarial Attention for Robust QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)

Zero Resource Cross-Lingual Part Of Speech Tagging
by: Chopra, Sahil
Published: (2024)

MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations
by: Dongre, Vardhan, et al.
Published: (2025)

Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis
by: Ma, Delin, et al.
Published: (2025)

A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individuals
by: Wei, Yuxiang, et al.
Published: (2024)

ORCHID: Streaming Threat Detection over Versioned Provenance Graphs
by: Goyal, Akul, et al.
Published: (2024)

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
by: Han, Wenkang, et al.
Published: (2025)

Harnessing LLMs for Cross-City OD Flow Prediction
by: Yu, Chenyang, et al.
Published: (2024)