24 January 2019

Ioannis was named Fellow of the AAPM due to his distinguished contributions to medical physics and the esteem in which he is held by his peers

Ioannis Sechopoulos is member of theme Women's cancers.

Related news items

Supplemental MRI screening for women with extremely dense breast tissue

9 January 2020 In the New England Journal of Medicine, the DENSE trial study group including RIHS researchers Ritse Mann and Nico Karssemeijer showed that additional MRI after the nationwide breast screening, reduces interval breast cancer in women with extremely dense breast tissue. read more

Awarded KWF grants for Radboudumc researchers

18 December 2019 KWF is investing 2.7 million euros in five different studies at Radboudumc. The awards are part of the new round of funding by DCS, in which over 34 million euros will be granted to Dutch cancer research. We congratulate our researchers with this funding and wish them success with their great work. read more

ERC Consolidator Grant for Bousema and Sechopoulos

12 December 2019 Teun Bousema and Ioannis Sechopoulos each receive an ERC Consolidator Grant of around two million euros. This European research subsidy will enable them to carry out research for the next five years. read more

Technology for Oncology II grant application funded

21 November 2019 The grant application called "aiREAD – Accurate and Intelligent Reading for EArlier breast cancer Detection” by project leader Ioannis Sechopoulos, has been selected for funding under the NWO TTW – KWF Kankerbestrijding – Top Sector LSH Partnership “Technology for Oncology II”. read more

VIDI grant for Ritse Mann

27 May 2019 Ritse Mann, theme Women's cancers, receives up to 800,000 euros to develop an innovative research theme and to build up his own research group. NWO is awarding the Vidi grant as part of the Innovational Research Incentives Scheme. read more

Artificial intelligence vs. 101 radiologists for breast cancer detection

7 March 2019 In an article appearing in the journal of the National Cancer Institute, Ioannis Sechopoulos and colleagues showed that current artificial intelligence systems can detect breast cancer in mammograms as well as a breast radiologists. read more