Peter Bilek

Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders

Is Dermoscopy (Epiluminescence Microscopy) Useful for the Diagnosis of Melanoma?

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

Dermatologist-level classification of skin cancer with deep neural networks

Automated diagnosis of pigmented skin lesions

Diagnostic accuracy of dermoscopy

Semiological Value of ABCDE Criteria in the Diagnosis of Cutaneous Pigmented Tumors

High-Voltage Electrical Pulses in Oncology: Irreversible Electroporation, Electrochemotherapy, Gene Electrotransfer, Electrofusion, and Electroimmunotherapy

Diagnosis and treatment of melanoma. European consensus-based interdisciplinary guideline – Update 2016

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

Artificial intelligence in healthcare

A Convolutional Neural Network Framework for Accurate Skin Cancer Detection

Melanoma Computer-Aided Diagnosis

Transform domain representation-driven convolutional neural networks for skin lesion segmentation

A system for the detection of melanomas in dermoscopy images using shape and symmetry features

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

Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets

Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network

Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms

The ABCD rule of dermatoscopy