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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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Showing 841-861 of 3,776 articles
Generalizable Neural Electromagnetic Inverse Scattering

Solving Electromagnetic Inverse Scattering Problems (EISP) is fundamental in applications such as ...

PoseMaster: Generating 3D Characters in Arbitrary Poses from a Single Image

3D characters play a crucial role in our daily entertainment. To improve the efficiency of 3D char...

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine

Technological progress has led to concrete advancements in tasks that were regarded as challenging...

inMOTIFin: a lightweight end-to-end simulation software for regulatory sequences

The accurate development, assessment, interpretation, and benchmarking of bioinformatics framework...

Radiomic fingerprints for knee MR images assessment

Accurate interpretation of knee MRI scans relies on expert clinical judgment, often with high vari...

Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation

We present Sparsh-X, the first multisensory touch representations across four tactile modalities: ...

Implementation of 400 Gbps quantum noise stream cipher encryption for 1520 km fiber transmission using end-to-end deep learning.

In the era of large models and big data, the security of optical fiber communication backbone networ...

Jun 2025 40512879
Self-adaptive hybrid data-model optimization for secure end-to-end radio-over-fiber transmission.

A novel self-adaptive secure end-to-end (E2E) transmission approach is proposed for a radio-over-fib...

Jun 2025 40512893
Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving

Autoregressive Transformers are increasingly being deployed as end-to-end robot and autonomous veh...

On the Effectiveness of Integration Methods for Multimodal Dialogue Response Retrieval

Multimodal chatbots have become one of the major topics for dialogue systems in both research comm...

Optimizing Learned Image Compression on Scalar and Entropy-Constraint Quantization

The continuous improvements on image compression with variational autoencoders have lead to learne...

Hierarchical Feature-level Reverse Propagation for Post-Training Neural Networks

End-to-end autonomous driving has emerged as a dominant paradigm, yet its highly entangled black-b...

Generalized Trajectory Scoring for End-to-end Multimodal Planning

End-to-end multi-modal planning is a promising paradigm in autonomous driving, enabling decision-m...

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning

In complex driving environments, autonomous vehicles must navigate safely. Relying on a single pre...

Deep Learning Reforms Image Matching: A Survey and Outlook

Image matching, which establishes correspondences between two-view images to recover 3D structure ...

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection

The detection of ligand binding sites for proteins is a fundamental step in Structure-Based Drug D...

Geometric Visual Servo Via Optimal Transport

When developing control laws for robotic systems, the principle factor when examining their perfor...

Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology

Pre-trained encoders for offline feature extraction followed by multiple instance learning (MIL) a...

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Robust Federated Learning against Noisy Clients via Masked Optimization

In recent years, federated learning (FL) has made significant advance in privacy-sensitive applica...

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models

Spatial intelligence, encompassing 3D reconstruction, perception, and reasoning, is fundamental to...

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