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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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Causal Inference with Unstructured Outcomes

Causal inference has traditionally centered on scalar outcomes: whether a patient recovers, how much...

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference

Video diffusion transformers (vDiTs) generate high quality but pay quadratic self-attention cost, ma...

When Do Fewer Visual Tokens Accelerate Multimodal Inference? A Break-Even Study Across Decision Locations and Hardware

Fewer visual tokens do not guarantee lower end-to-end latency. We evaluate break-even with a reprodu...

A PRISMA-Aligned Agentic Framework for Medical Systematic Reviews and Evidence Synthesis

Medical systematic reviews are central to evidence-based medicine, but they remain slow, labor-inten...

On the Efficacy of Self-Supervised Point Cloud Encoders for Efficient 3D Large Language Models

3D point cloud-language models (3D-LLMs) enable 3D understanding by pairing point cloud encoders wit...

End-to-End Fairness Optimization with Fair Decision-Focused Learning

Many real-world systems rely on predictive models to inform decisions, and fairness concerns arise i...

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation

The deep learning revolution, kicked off by AlexNet, taught us that end-to-end training beats decomp...

The LAIA Dataset: Labelled Attention for Intelligent Automobiles

The development of autonomous vehicles (AVs) usually relies heavily on data-driven artificial intell...

MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving

End-to-end autonomous driving systems commonly follow a cascaded two-stage pipeline where a percepti...

An Exploratory Analysis of Pain Localization via Explainable Computational Modeling

Automatic pain localization, which involves identifying the anatomical origin of pain from periphera...

Bio-SFT: Asymmetric Cortical Guidance and Retinal Adaptation for Robust HDR Reconstruction

Recovering high dynamic range (HDR) radiance from a single standard dynamic range (SDR) image is hig...

Pixel-Space Diffusion Transformers

Latent diffusion models (LDMs) enable efficient high-resolution image synthesis by denoising in a VA...

G$^2$SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction

Few-view surface reconstruction recovers the visible surfaces of a scene from a few posed RGB images...

OvisOCR2 Technical Report

We introduce OvisOCR2, a 0.8B document parsing model. OvisOCR2 is designed as an end-to-end parser: ...

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment

Video aesthetic assessment (VAA) aims to predict how aesthetically pleasing a video is, yet remains ...

Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences

How can an agent build a structured map of its world from nothing but an ongoing sequence of raw sen...

Color Pass-Through via Camera-Display Coupling

When a real-world scene is captured by a smartphone camera and viewed on its screen, the displayed i...

Automated Design of Patient-Specific 4D-Printed Phantoms for Quality Assurance of Adaptive Radiotherapy on a 1.5T MR-Linac

Background: Independent end-to-end verification of adaptive radiotherapy on MR-Linac systems is limi...

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MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI

Perineural invasion (PNI) is a critical prognostic factor in cholangiocarcinoma. Non-invasive predic...

NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study

Agentic research systems are emerging as a new paradigm for coordinating scientific workflows beyond...

Training-Free Off-Screen Player Imputation for Broadcast-Based Spatial Football Analytics

Spatial football metrics such as pitch control assume access to the positions of all 22 players, yet...

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