Author
Dr. Andreas Heindl
Dr Andreas Heindl is a Machine Learning Product Manager at Encord. He has spent the past 10 years applying computer vision and deep learning techniques in Healthcare at Encord, The Institute of Cancer Research, and Kheiron Medical. The main focus of Andreas' research and work until now has been to aid radiologists accurately diagnosing cancer by using artificial intelligence and computer vision.
All blogs by Dr. Andreas Heindl
The Top 6 Artificial Intelligence Healthcare Trends of 2024
7 m
Future for Computer Vision in Healthcare
7 m
The Comprehensive Guide to Medical Annotations
10 m
7 Features to Look for in a DICOM Annotation Tool
6 m
What’s the Difference Between DICOM and NIfTI?
5 m
How To Obtain CE Approval for Medical Diagnostic Models
8 m
7 Ways to Improve Medical Imaging Dataset
7 m
How to Structure QA Workflows for Medical Images
12 m
Best LiDAR Annotation Platforms (2025): Fast, Accurate, Sensor-Fusion Ready
Best Data Labeling Platform (2025 Buyer’s Guide)
Best DICOM Annotation Platforms (2025): Radiology-Grade Tools
Best Image Labeling Platforms (2025): When Encord Wins and What Else to Consider
The Step-by-Step Guide to Getting Your AI Models Through FDA Approval
10 m
Best DICOM Annotation Tools for Radiology AI [2024 Review]
6 m
6 Best Open Source DICOM Annotation Tools
10 m
How to Annotate DICOM and NIfTI Files
5 m
Top 10 Free Healthcare Datasets for Computer Vision
6 m