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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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Generating Medical Image Counterfactuals using Causal Explanations

Deep learning models have achieved impressive performance in medical image diagnosis, yet their depl...

RealOOB: A Definition-Consistent Real-World Oriented Occlusion Boundary Benchmark

Occlusion boundaries (OBs) are pixel-level image boundaries corresponding to surface visibility disc...

FAN-LoRA: A Fourier-Adaptive Nonlinear Low-Rank Adaptor for Medical Foundation Model Domain Adaptation

The advent of vision foundation models, notably the Segment Anything Model (SAM), has catalyzed sign...

Unsupervised Anatomical Feature Learning via Diffusion Models: Enhanced Medical Image Segmentation with Denoising Diffusion Probabilistic Models

Acquiring pixel-level annotations for medical image segmentation is a severe bottleneck. Traditional...

Steer the Sampling, Not the Kernel Grid: Geometry-Guided Sampling Operator for Volumetric Segmentation

Accurate 3D segmentation is central to quantitative lesion assessment and anatomy mapping for clinic...

Image-Conditioned Diffusion Models for Quality Assurance of Organ-at-Risk Segmentations in Radiotherapy

Accurate organ-at-risk segmentation is essential for radiotherapy planning, but reviewing segmentati...

RS$^3$-Prune: Read-Sparse, Store-Sparse Token Pruning for Video Object Segmentation

We introduce RS$^3$-Prune, a training-free token-pruning recipe that instantiates as a small set of ...

GAP-SAM: A Global Artifact Prior for Generalizable AI-Generated Image Manipulation Localization

AI-generated image manipulation localization identifies edited pixels, but its OOD performance lags ...

Dorsal Hand Images for Immersive (XR) and Privacy-preserving Age Assurance and Child Safety

Ensuring that Extended Reality (XR) environments are age-appropriate is an important regulatory and ...

Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning

LGE cardiac MRI is widely used for left atrial fibrosis assessment and ablation planning in atrial f...

Where Grounding Accuracy Lives on the IoU Curve: Label-Free Inference-Time Boundary Refinement

Vision--language models can identify the correct referent while returning an imprecise bounding box....

SGHA: Evidence-Grounded Research Problem Discovery with Local Language Models

Recent efforts toward fully automated AI scientists have demonstrated that language-model agents can...

Optic Disc Segmentation in Fundus Images: From Classical Image Processing and Deformable Models to Modern AI

Accurate localization and segmentation of the optic disc (OD) are important for retinal image analys...

EA-LiteUNet: An Edge-Adaptive and Resource-Efficient U-Net for Boundary-Sensitive Dermoscopic Image Segmentation

Accurate boundary delineation remains a persistent challenge in dermoscopic image segmentation becau...

SteerBench-Work: A Benchmark for Agent Steering at Action Boundaries

Long-running LLM agents act through tools, and a single step can send an email, merge a pull request...

Boundary-Continuous Cross-Camera RGB Mapping via Hue-Split Model Trees

We propose a hue-split model-tree method for boundary-continuous cross-camera RGB mapping. Cross-cam...

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation

Weakly supervised semantic segmentation enables histopathology tissue segmentation from image-level ...

M-Net: Integrating Spectral Features and Physical Field Operators into Deep Learning for Medical Image Segmentation

Purpose: Deep learning-based medical image segmentation has achieved remarkable success, yet purely ...

A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery

Background: Accurate segmentation of the Left Anterior Descending (LAD) artery in 3D free-breathing,...

CoInS-Net: A Continuous Position-Aware Network for Joint Medical Image Interpolation and Segmentation

Accurate medical image interpolation and anatomical structure segmentation are fundamental for compu...

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