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Medical Ethics / Professional Responsibility

Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.

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FSB-Net: Frequency-Spatial Boundary Network for Brain Stroke Lesion Segmentation in Non-Contrast CT

Accurate segmentation of brain stroke lesions in non-contrast computed tomography (NCCT) scans is cr...

U-CFR: Uncertainty-Guided Cascade Forward Refinement for Interactive Segmentation

Interactive image segmentation is critical for efficient image annotation; however, existing methods...

PhaseAware: Interpretable Human-in-the-Loop Rehabilitation Scoring with Boundary Monitoring

Rehabilitation scoring systems are most useful when their outputs can be reviewed and interpreted wi...

Delineate Anything v2: A Global Foundation Model for Field Delineation

Accurate agricultural field boundary delineation at large scale is a foundational task for food secu...

BMFA: Boundary-Minority Free-Energy Adaptive Screening

Vision Transformers process spatially redundant tokens efficiently only when coarse token summaries ...

Bifurcation Structure and Cross Nuclei Universality Govern Frequency-Selective Deep Brain Stimulation

High-frequency deep brain stimulation (DBS, >90 Hz) reliably suppresses Parkinsonian motor symptoms,...

DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation

Existing 3D generative models predominantly rely on implicit volumetric representations, which enfor...

Rough Path Signature-Guided Geometry Augmentation for Few-Shot Industrial Surface Defect Detection

Few-shot industrial defect detection remains difficult for standard supervised detectors, which achi...

Steering Diffusion Models via Class-Contrastive Influence for Few-Shot Medical Classification

When labeled data are scarce, off-the-shelf diffusion models can augment training sets for few-shot ...

The Emerging Paradigm of Geospatial Foundation Models: From Pre-Training to Agentic Reasoning

The analysis of satellite and aerial imagery has entered a new era with the advent of foundation mod...

LoSA-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI

Perineural invasion (PNI) is a clinically relevant indicator of tumor aggressiveness and can influen...

Rethinking Monocular Depth Embedding for Generalized Stereo Matching

Generally, monocular methods capture rich contextual priors but lack geometric precision, whereas st...

ConRad: Efficient Conformal Prediction for Radiomics

Radiomic features derived from medical images and segmentation masks are used to support decision ma...

Equivariant Quantum Clustering with Differential Privacy: Parameter-Efficient Privacy-Preserving Analysis Across Heterogeneous Sensitive Datasets

Privacy-preserving clustering is critical for analyzing sensitive data in healthcare, cybersecurity,...

Metrics or Mirage? An Audit of Evaluation Inconsistencies in Colonoscopy Polyp Segmentation Benchmarks

Progress in colonoscopy polyp segmentation is routinely reported through leaderboard comparisons on ...

TACoS: Weakly Supervised Learning of Two-Dimensional Materials from Scribble Annotations to Precise Segmentation

The precise pixel-level localization of 2D material flakes is crucial for high-throughput screening....

PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails

Image guardrails are typically trained and evaluated under a fixed safety policy, implicitly treatin...

Topology-Driven Transferability Estimation for 3D Medical Vision Foundation Models

The growing number of medical vision foundation models highlights the need for effective model selec...

Identifiability Limits of Physics-Informed Inference for Spatial Stochastic Dynamics from Static Snapshots

Despite increasing scale and resolution, many biological measurements remain destructive, revealing ...

ProSAC-CT: Progressive Spectral-Anatomical Co-Guided Multi-Stage Diffusion Model for Low-Dose CT Denoising

Low-dose computed tomography (LDCT) reduces radiation exposure but introduces stronger quantum noise...

Automated Melanoma Screening: A Machine Learning Pipeline for Mole Detection, Boundary Segmentation, and ABCD(E) Feature Extraction

Early detection of suspicious moles remains the most effective means of reducing mortality from skin...

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