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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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End-to-End Cell Detection via Instance-aware Graph Modeling

Accurate cell detection and classification are crucial for pathological analysis, directly affecting...

Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove

AI-based automated vehicle testing is challenging because a model that passes every test condition c...

End-to-end plaque counting and virus titration from laboratory plate images with deep learning

Plaque assays are the gold standard for quantifying infectious virus, yet plaque enumeration is stil...

CARDEA: Auditable Reasoning Grounded in Spatial Evidence for End-to-End Coronary Angiography Interpretation

Invasive coronary angiography (CAG) is the gold standard for diagnosing coronary artery disease, but...

A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle

This paper presents a low-cost, open experimental platform for research in end-to-end autonomous dri...

Population-Calibrated Graph Screening at 835-Million-Address Scale, with Label-Free Transfer to New Chains

Compliance screening of blockchain addresses is, in practice, a lookup against sanctions registries ...

RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generation

Novel view synthesis from sparse inputs requires both geometric grounding from the observed views an...

Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System

While unified multimodal models (UMMs) jointly perform visual understanding and generation within a ...

Clinically Generalisable End-to-End Graph Learning for CT Image-Based Multitask Stroke Diagnosis

Stroke remains a leading cause of mortality and long-term disability worldwide, yet rapid diagnosis ...

4DStreamCtrl: Interactive Video Generation with Online 4D Control

Generative video models now synthesize footage nearly indistinguishable from reality. Their promise ...

4DStreamCtrl: Interactive Video Generation with Online 4D Control

Generative video models now synthesize footage nearly indistinguishable from reality. Their promise ...

Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images

Document processing pipelines traditionally cascade optical character recognition (OCR) engines with...

When does fusing hand-crafted knowledge with learned representations pay? A cost-normalized benchmark of stacking, substitution, and interference

Fusing prior knowledge with data-driven learning is attractive where data is scarce, yet no controll...

A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans

Reliable spatial understanding is an important prerequisite for future medical vision-language syste...

Accelerating Visual On-Policy Distillation with Batched Speculative Jacobi Rollouts

Visual on-policy distillation (OPD) improves the training of compact visual autoregressive models by...

UMPIRE-Net: Unrolled Magnitude-Phase Regularization Network for Accelerated MRI

MRI reconstruction from undersampled k-space measurements is an ill-posed inverse problem. Physics-d...

When Offline Evaluation Misleads: A Diagnostic Protocol for Reward and Policy Selection in Delayed-Feedback Contextual Bandits

Personalizing marketing messages with contextual multi-armed bandits (CMABs) drives real business va...

DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation

Visual document retrieval (VDR) is dominated by multi-billion-parameter models that are slow to inde...

Bridging Severe Cross-Modal Misalignment: End-to-End Visible-Infrared Object Detection via Explicit Feature-Domain Affine Registration

Visible-infrared object detection relies on complementary RGB and thermal cues, but its performance ...

GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care

Healthcare data, such as Intensive Care Unit (ICU) records, comprise heterogeneous multivariate time...

DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models

The proliferation of AI-generated images produced by Latent Diffusion Models (LDMs) has raised criti...

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