Vaneeda Allken

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning

Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI

SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

AI in health and medicine

DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images

On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Integrating uncertainty in deep neural networks for MRI based stroke analysis

Deep learning in histopathology: the path to the clinic

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Deep learning in bioinformatics: Introduction, application, and perspective in the big data era

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

The false hope of current approaches to explainable artificial intelligence in health care

Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation

A review of medical image data augmentation techniques for deep learning applications

Desarrollo de estados de la cuestión robustos: Revisiones Sistemáticas de Literatura

Improving predictive uncertainty estimation using Dropout–Hamiltonian Monte Carlo

On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment

Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

A Survey of Deep Active Learning

Bayesian neural networks for flight trajectory prediction and safety assessment

Leveraging uncertainty information from deep neural networks for disease detection