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Keynote Speakers

Keynote Speaker I

Prof. Bártfai György
University of Szeged, Hungary

1995 Acquisition of the title Dr. med. habil
1974 Specialization in Obstetrics and Gynaecology
Academic qualifications:
1999 Doctor of the Hungarian Academy of Science
1984 Ph.D. Degree
Professional assignments:
2014- Emeritus Professor
2000-2014 Professor
Professional memberships and awards:
2008- Head of the working group of the “Reproductive Health” at the Secretariat of the South-Hungarian Regional Committee of the Hungarian Academy of Sciences
2008- Honorary member of the Society of the Serbian Obstetricians & Gynaecologists
2008- Honorary member of the Society of the Romanian Obstetricians & Gynaecologists
2010- European Society of Contraception, member of the Board of Directors
2012- President of the ESC Internal Scientific Committee
2013 Doctor Honoris Causa, Arad University
2013 Batthyány-Strattmann Award by the Ministry of Education and Heath, Hungary
Other activities:
President of the Egon and Ann Diczfalusy Foundation (at present)
World Health Organisation (WHO) obligations:
Temporary Advisor and Principal Investigator in the following multicentre studies:
Multicenter IUD trials
Cardiovascular diseases & hormonal contraception
Emergency postcoital contraception
Vaginal Ring study B300
Pericoital contraception with Levenorgestrel

Speech Title: "The Role of Telemedicine in the Medical Practice, Special Emphasis on E-Learning and Monitoring the Patient"

Nowadays using mobile phone is rather popular all over the word. However, it is under utilised in the medicine. The computer technique and the mobile phone application will revolutionaries the learning-teaching process in the medicine as well as the distance monitoring and diagnosis. Telemedicine by definition is a kind of service in the healthcare during which the patient and the healthcare provider do not meet personally. The contact realise through info-communication data transfer system. Thus specialists change information remote in favour of the better health care of a patient. The major fields of telemedicine are e-learning, distance monitoring the patient robotic operating technique, distance diagnosis, remote consilium and distance diagnosis. This presentation will focus on the following fields: Online evaluation of the cartiotocographic (CTG) traces lay emphasis on e-learning. Monitoring of the pregnancies with diabetes using mobile phone. Infertility work up: evaluation, home monitoring, helping therapeutic decision. Online diagnosis in the obstetrical and gynaecological ultrasound and evaluation of the onco-cytologic smears in cervical cancer screening.

Keynote Speaker II

Prof. Wiro Niessen
Delft University of Technology, The Netherlands

Wiro Niessen is full professor in Biomedical Image Analysis at Erasmus MC, Rotterdam where he leads the Biomedical Imaging Group Rotterdam (www.bigr.nl) and at Delft University of Technology. His interest is in the development, validation and implementation of quantitative image analysis methods in clinical practice and biomedical research, in linking imaging and genetics data, radio(geno)mics, and image guided interventions. Focus areas are improved diagnosis and prognosis of neurodegenerative and cardiovascular disease, and treatment guidance in oncology, by developing and using advanced medical image analysis and machine learning methods. He has published over 250 journal articles in these areas. He is member of the Netherlands Royal Academy of Arts & Sciences, fellow and president of the Medical Image Computing and Computer Assisted Interventions Society (MICCAI), director of the Biomedical Image Analysis Platform of the European Institute of Biomedical Imaging Research (EIBIR), and member of the International Society of Strategic Studies in Radiology (IS3R). In 2012 he founded the spin-off company Quantib, which develops methods to automatically extract relevant information from medical imaging data, and he is currently Chief Scientific Officer of Quantib.

Speech Title: "Biomedical Imaging and Genetic (BIG) Data Analytics in Dementia and Oncology"

The large scale analysis of biomedical, genetic, clinical and -omics data are dramatically increasing the possibilities for prevention, cure and care, and changing the landscape of the healthcare system. In this presentation I will show examples of possible large benefits of large scale analysis of imaging and genetic data in dementia and oncology.

With the ageing society, there is an urgent need to develop new preventive and therapeutic strategies for common age-related diseases, such as Alzheimer’s disease, the most common form of dementia, and cancer. In Alzheimer’s disease, neuroimaging plays an increasingly important role, as it helps in understanding disease etiology and diagnosing different forms of dementia. In this presentation I will show how large scale data analytics in longitudinal population neuroimaging studies, especially when combining imaging with other clinical, biomedical and genetic data, provides a unique angle to study the brain, both in normal ageing and disease. I will also show how it can be the basis of new methods for disease detection, diagnosis, and prognosis in clinical practice. I will also discuss some of the promises and challenges of using deep learning in the field of image analysis and imaging genetics in dementia. In oncology, I will discuss how radiomics and deep learning techniques can be employed to improve cancer diagnostics and therapy planning.