Image de couverture de livre

People-Centred Medical Image Analysis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Zheng, Masroor, Milad, Nguyen, Cuong, Hassan, Tahir, Chen, Yuanhong, Rosewarne, David, Wells, Kevin, Do, Thanh-Toan, Carneiro, Gustavo
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging
par: Masroor, Milad, et autres
Publié: (2024)

Learning to Complement and to Defer to Multiple Users
par: Zhang, Zheng, et autres
Publié: (2024)

Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging
par: Masroor, Milad, et autres
Publié: (2026)

Coverage-Constrained Human-AI Cooperation with Multiple Experts
par: Zhang, Zheng, et autres
Publié: (2024)

Learning to Complement with Multiple Humans
par: Zhang, Zheng, et autres
Publié: (2023)

Fatigue-Aware Learning to Defer via Constrained Optimisation
par: Zhang, Zheng, et autres
Publié: (2026)

Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Modelling Approach
par: Nguyen, Cuong, et autres
Publié: (2023)

Translation Consistent Semi-supervised Segmentation for 3D Medical Images
par: Liu, Yuyuan, et autres
Publié: (2022)

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
par: Garg, Arpit, et autres
Publié: (2023)

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
par: Garg, Arpit, et autres
Publié: (2023)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
par: Pham, Cuong, et autres
Publié: (2024)

Bidirectional Diffusion Bridge Models
par: Kieu, Duc, et autres
Publié: (2025)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
par: Hoang, Dung Anh, et autres
Publié: (2022)

Self-supervised Learning for Acoustic Few-Shot Classification
par: Liang, Jingyong, et autres
Publié: (2024)

Diffusion Model in Latent Space for Medical Image Segmentation Task
par: Ngoc, Huynh Trinh, et autres
Publié: (2025)

Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
par: Nguyen, Cuong V., et autres
Publié: (2025)

Semi-Markov Reinforcement Learning for City-Scale EV Ride-Hailing with Feasibility-Guaranteed Actions
par: Nguyen, An, et autres
Publié: (2026)

Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
par: Pham, Cuong, et autres
Publié: (2025)

Variational Flow Models: Flowing in Your Style
par: Do, Kien, et autres
Publié: (2024)

Multi-agent decision making: A Blackwell's informativeness approach
par: Zhang, Zheng, et autres
Publié: (2026)

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
par: Nguyen, Huyen, et autres
Publié: (2025)

A Vietnamese Dataset for Text Segmentation and Multiple Choices Reading Comprehension
par: Hai, Toan Nguyen, et autres
Publié: (2025)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
par: Garg, Arpit, et autres
Publié: (2025)

Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
par: Luo, Haocheng, et autres
Publié: (2026)

ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models
par: Nguyen, Trong-Hieu, et autres
Publié: (2024)

ByteRover: Agent-Native Memory Through LLM-Curated Hierarchical Context
par: Nguyen, Andy, et autres
Publié: (2026)

BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression Classification
par: Phan, Bich-Chung, et autres
Publié: (2025)

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
par: Le, Khiem H., et autres
Publié: (2022)

AttentionRetriever: Attention Layers are Secretly Long Document Retrievers
par: Fu, David Jiahao, et autres
Publié: (2026)

Can ChatGPT Diagnose Alzheimer's Disease?
par: Nguyen, Quoc-Toan, et autres
Publié: (2025)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
par: Nguyen, Thanh Tam, et autres
Publié: (2024)

Motion2Meaning: A Clinician-Centered Framework for Contestable LLM in Parkinson's Disease Gait Interpretation
par: Nguyen, Loc Phuc Truong, et autres
Publié: (2025)

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
par: Tong, Anh, et autres
Publié: (2025)

Frequency Attention for Knowledge Distillation
par: Pham, Cuong, et autres
Publié: (2024)

Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data
par: Nguyen, Duy, et autres
Publié: (2025)

MetaAug: Meta-Data Augmentation for Post-Training Quantization
par: Pham, Cuong, et autres
Publié: (2024)

Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
par: Pham, Cuong, et autres
Publié: (2025)

Enhancing Retrieval Augmented Generation with Hierarchical Text Segmentation Chunking
par: Nguyen, Hai Toan, et autres
Publié: (2025)

From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images
par: Vu, Vi, et autres
Publié: (2026)

Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
par: Hoang, Cuong, et autres
Publié: (2026)