Radiomics: Basic Concepts and Clinical Applications for the Oncologic Patients

8 - 10 Jun 2021

100% Online

Level II - General radiologist

EACCME CME Accreditation Submitted

Radiomics is a novel technology that unlocks new diagnostic capabilities by means of medical images and machine learning techniques. Today, medical imaging interpretation is solely based on subjective radiological opinions that suffers from increased variability and low reproducibility. Including Radiomics in the diagnostic process it is expected to result in improvement of diagnostic accuracy, as well as prediction of treatment response and access to early prognosis valuable information.

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€1600 €1400


In this course, a non-technical review of the basic concepts of machine learning will be provided, while the focus of the second part of the course will be in specific areas of potential clinical applications in oncologic imaging.

Several modules of the Radiomics pipeline will be presented and discussed starting from the first phase where a clinician needs to formulate the clinical question. Consequently, a Radiologist needs to identify the relevant data sources (types of imaging modalities), and after that an imaging scientist should make sure that the data are pre-processed in a way to become exploitable by the next phases in the pipeline. Following the lesion segmentation should take place be more than one Radiologists, then radiomics features should be computed by and Imaging scientist, in order to proceed to model training and validation phases made by a Data Scientist.


Maximum number of seats: 10

Learning objectives

  • To present the basic aspects and techniques in Radiomics
  • To become familiar with practical aspects of a Radiomics Pipeline
  • To discuss potential clinical applications of Radiomics in Oncologic Patients

Programme will include

  • Each module will be covered by means of a short theoretical lecture and Q&A after a practical online demonstration.


Level II - General radiologist
Intermediate level

Technical requirements

  • A computer with Google Chrome and Internet Access
  • Attendees need to download the free software "Rapid Miner" in order to carry the hands on


  • Nickolas Papanikolaou

    Nickolas Papanikolaou, PhD (Male), is a Principal Investigator in Oncologic Imaging at CHAMPALIMAUD FOUNDATION and research group leader of the Computational Clinical Imaging Group. He is an Affiliated Researcher at Karolinska Institute and a Senior Affiliated Researcher at the Institute of Computer Science – FORTH. Dr. Nikolaos Papanikolaou studied biomedical engineering while he obtained his Ph.D. from the Medical School of the University of Crete. He has been a research associate of the Department of Radiology, University Hospital of Heraklion, from 1999 to 2009. He has published 85 scientific papers in peer-reviewed international journals and 17 chapters in international books. At the same time, he edited a series of 3 books on Diffusion-Weighted Imaging Applications in GI, GU, and Hepatobiliary systems. He has delivered more than 100 invited lectures in international congresses and educational courses. He served as a member of the editorial board of European Radiology in the section of experimental radiology while he was a member of the abdominal subcommittee of ECR. He has been awarded two research scholarships from ECR. Finally, he is an honorary member of the Spanish Society of Gastrointestinal Radiology (SEDIA). The main focus of his research is the development and validation of imaging biomarkers on cancer applications. He recently initiated the development of a Radiomics Network comprising luminary clinical sites in the US and Europe to advance research in that area of Radiomics. He is the section editor on AI, Radiomics, and Machine Learning in Cancer Imaging, and he is chairing the e-learning subcommittee of ICIS.


Tuesday - June 8th 2021
13:30 - 13:40(GMT +0200) Introduction to the course Introduction Nickolas Papanikolaou
13:40 - 14:10(GMT +0200) Module 1: Setting the scene Lecture Nickolas Papanikolaou
14:10 - 14:25(GMT +0200) Setting the scene: Discussion Nickolas Papanikolaou
14:25 - 14:30(GMT +0200) Break Break Nickolas Papanikolaou
14:30 - 14:45(GMT +0200) Module 2: Segmentation Lecture Nickolas Papanikolaou
14:45 - 15:00(GMT +0200) Segmentation: Q&A Nickolas Papanikolaou
15:00 - 15:50(GMT +0200) Segmentation: Hands on Case demo Nickolas Papanikolaou
15:50 - 15:55(GMT +0200) Break Break Nickolas Papanikolaou
15:55 - 16:35(GMT +0200) Module 3: Pre-processing and Feature Extraction Lecture Nickolas Papanikolaou
16:35 - 16:55(GMT +0200) Pre-processing and Feature Extraction: Q&A Nickolas Papanikolaou
16:55 - 17:40(GMT +0200) Pre-processing and Feature Extraction: Hands on Case demo Nickolas Papanikolaou
Wednesday - June 9th 2021
13:30 - 14:15(GMT +0200) Module 4: Feature Selection Lecture Nickolas Papanikolaou
14:15 - 14:30(GMT +0200) Feature Selection: Q&A Nickolas Papanikolaou
14:30 - 15:30(GMT +0200) Feature Selection: Hands on Case demo Nickolas Papanikolaou
15:30 - 15:35(GMT +0200) Break Break Nickolas Papanikolaou
15:35 - 16:20(GMT +0200) Module 5: Model Training Case demo Nickolas Papanikolaou
16:20 - 16:35(GMT +0200) Model Training: Q&A Nickolas Papanikolaou
16:35 - 17:35(GMT +0200) Model Training: Hands on Case demo Nickolas Papanikolaou
Thursday - June 10th 2021
13:30 - 14:00(GMT +0200) “Demystifying Radiomics: A blueprint for creating value across the cancer continuum” Lecture Nickolas Papanikolaou
14:00 - 14:30(GMT +0200) Clinical Applications: Brain Case demo Nickolas Papanikolaou
14:30 - 14:35(GMT +0200) Break Break Nickolas Papanikolaou
14:35 - 15:05(GMT +0200) Clinical Applications: Breast Case demo Nickolas Papanikolaou
15:05 - 15:35(GMT +0200) Clinical Applications: GI Case demo Nickolas Papanikolaou
15:35 - 15:40(GMT +0200) Break Break Nickolas Papanikolaou
15:40 - 16:10(GMT +0200) Clinical Applications: Prostate Case demo Nickolas Papanikolaou
16:10 - 16:40(GMT +0200) Clinical Applications: Lung Case demo Nickolas Papanikolaou
16:40 - 16:45(GMT +0200) Break Break
16:45 - 17:15(GMT +0200) Q&A
17:15 - 17:45(GMT +0200) Closing Remarks

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