The iQC is a one-day event aimed at bringing together fundamental, translational and clinical research in the active fields of institute QuantiVision. Researchers gather to share their work in oral and poster sessions.
The topics of the event enable discussion of the latest developments in medical imaging devices, software and protocols for diagnostic and therapeutic imaging in the fields of oncology and neurology. Participants of the iQC get the chance to share their work, expand their network, and learn about the latest research results and advances in their field of expertise.
In this talk I will present recent progress in making digital video content as accessible as text. Rather than relying on text obtained from speech or social tags, we prefer to automatically translate the video-pixels into searchable text by spatiotemporal deep learning. I will highlight video search engines that translate pixels into nouns like ‘cats’ and ‘dogs’, more complex noun-verb combinations like ‘person dancing’ and ‘rock climbing’, and even complete sentences.
Cees Snoek received the Ph.D. degree in computer science from the University of Amsterdam. He is currently a director of the QUVA Lab, the joint research lab of Qualcomm and the University of Amsterdam on deep learning and computer vision. He is also a principal engineer/manager at Qualcomm and an associate professor at the University of Amsterdam. He was previously a Visiting Scientist at Carnegie Mellon University, Fulbright Junior Scholar at UC Berkeley, and head of R&D at University spin-off Euvision Technologies before it was acquired by Qualcomm. His research interests focus on video and image recognition. Cees is recipient of an NWO Veni award, an NWO Vidi award and the Netherlands Prize for ICT Research.
Alexandra de Sitter
Sofieke de Jonge
Irene van Kalleveen
Zdenko van Kesteren
Laura van Heerden
Emmanuel Mandonnet will give a talk about clinical applications of computational models of MRI glioma growth.
Emmanuel Mandonnet is a full professor of neurosurgery at the University of Paris 7, working at the Lariboisière hospital and affiliated with the “Imaging and Modelling in Neurobiology & Cancerology” lab UMR8165 at Orsay. There he is developing his research activities. Initially trained as a physicist and student of the ENS Lyon, he defended his thesis on atomic physics in 2000. He then turned to medicine, and defended his medical thesis in 2006 and specialised in neurosurgery by 2008. He then sub-specialised in brain tumour surgery, with a special interest in intraoperative mapping techniques in the awake patient. His research work focused on clinical applications of biomathematical modelling of glioma growth from MRI data. More recently, he shifted towards a more functional topic; aiming to elucidate the interaction at the individual level between glioma and brain functional networks on MRI, and behavioural measures.