Explainable Artificial Intelligence for Human-Machine Interaction in Brain Tumor Localization

Survival prediction of patients suffering from glioblastoma based on two-branch DenseNet using multi-channel features

(2021) Xue Fu et al.   International Journal of Computer Assisted Radiology and Surgery

Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging

(2021) Yunyan Zhang et al.   JOURNAL OF NEUROSCIENCE METHODS

Visual interpretability in 3D brain tumor segmentation network

(2021) Hira Saleem et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

(2021) Anna Markella Antoniadi et al.   Applied Sciences-Basel

Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex

(2020) Iván Sánchez Fernández et al.   PLoS One

Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net

(2020) Nader Aldoj et al.   Scientific Reports

A Convolutional Neural Network to Perform Object Detection and Identification in Visual Large-Scale Data

(2020) Riadh Ayachi et al.   Big Data

Explainable AI: A Review of Machine Learning Interpretability Methods

(2020) Pantelis Linardatos et al.   Entropy

NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image

(2020) Zhou Tao et al.   Biomed Research International

Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey

(2020) Khan Muhammad et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features

(2019) Clinton J. Wang et al.   EUROPEAN RADIOLOGY

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

(2019) Taeho Jo et al.   Frontiers in Aging Neuroscience

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation

(2019) Jean-Marc Fellous et al.   Frontiers in Neuroscience

Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation

(2018) Sérgio Pereira et al.   MEDICAL IMAGE ANALYSIS

The Direction of Tumour Growth in Glioblastoma Patients

(2018) Morteza Esmaeili et al.   Scientific Reports

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas

(2015)   NEW ENGLAND JOURNAL OF MEDICINE

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING