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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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Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves

Precision agriculture leverages data and machine learning so that farmers can monitor their crops ...

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B2Net: Camouflaged Object Detection via Boundary Aware and Boundary Fusion

Camouflaged object detection (COD) aims to identify objects in images that are well hidden in the ...

A Shifted Boundary Method for Thermal Flows

This paper presents an incomplete Octree mesh implementation of the Shifted Boundary Method (Octre...

A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis

The proliferation of healthcare data has expanded opportunities for collaborative research, yet st...

Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition

Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confident...

BCR-Net: Boundary-Category Refinement Network for Weakly Semi-Supervised X-Ray Prohibited Item Detection with Points

Automatic prohibited item detection in X-ray images is crucial for public safety. However, most ex...

Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection

Unsupervised anomaly detection methods can identify surface defects in industrial images by levera...

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A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction

Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructi...

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary

Open intent classification is critical for the development of dialogue systems, aiming to accurate...

In-context learning for medical image segmentation

Annotation of medical images, such as MRI and CT scans, is crucial for evaluating treatment effica...

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps

Data privacy is a major concern in industries such as healthcare or finance. The requirement to sa...

LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages

The rise of chronic diseases and pandemics like COVID-19 has emphasized the need for effective pat...

Fast 3D Partial Boundary Data EIT Reconstructions using Direct Inversion CGO-based Methods

The first partial boundary data complex geometrical optics based methods for electrical impedance ...

Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer

Segmentation of ultra-high resolution (UHR) images is a critical task with numerous applications, ...

ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement

Medical image segmentation plays an important role in clinical decision making, treatment planning...

CPFI-EIT: A CNN-PINN Framework for Full-Inverse Electrical Impedance Tomography on Non-Smooth Conductivity Distributions

This paper introduces a hybrid learning framework that combines convolutional neural networks (CNN...

BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans

Spinal cord tumors significantly contribute to neurological morbidity and mortality. Precise morph...

Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics

Spatial transcriptomics (ST) has emerged as an advanced technology that provides spatial context t...

Reducibility among NP-Hard graph problems and boundary classes

Many NP-hard graph problems become easy for some classes of graphs, such as coloring is easy for b...

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Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering

Combating money laundering has become increasingly complex with the rise of cybercrime and digital...

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