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institute Quantivision Conference 2017

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What's it about?

The iQ Conference is about exchange among researchers from institute QuantiVision.

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Mission Statement

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.

When & where?

Koninklijke Industrieele Groote Club

Dam 27, 1012 JS Amsterdam

24th of February 2017






Registration, coffee & tea



Opening by Chris Polman (board member of VUmc)

Plenary Room

Video Search by Deep Learning

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.


Validation of two methods of measuring contact area for estimation of applied compression pressure in mammography

Woutjan Branderhorst


Performance of four research-domain automated WM lesion segmentation methods in a multi-center MS study

Alexandra de Sitter


Semi-Automatic Hippocampus Delineation using Bi-Laplacian Interpolation

Fabian Bartel


Coffee & tea // Interactive session // Poster preparation

Hall // Plenary Room // Library


Measuring Local Pulse Wave Velocity in the Carotid Arteries using a Compressed Sensing reconstruction for high temporal resolution (4 ms) 2D PC CINE MRI

Eva Peper


Accelerated bowel motility imaging: Compressed Sensing vs. SENSE

Sofieke de Jonge


Longitudinal characterization of deformation-induced skeletal muscle damage by T2-mapping, DWI and MRE

Jules Nelissen


Compressed Sensing accelerated 4D flow MRI using a pseudo spiral Cartesian sampling technique with random undersampling in time

Lukas Gottwald


Lunch // Poster sessions

Hall // Library


Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation

Jacob Bauer


31P MRS in a liver metastasis patient using a surface coil at 7T

Irene van Kalleveen


Improved screening of esophageal cancer by combining Optical Coherence Tomography and Single Fiber Reflectance Spectroscopy

Anouk Post


Interleaved 31P-MR spectroscopy and cine 1H-MR imaging of the human heart at 3 Tesla

Maddy Daemen


A novel handheld 1050nm optical coherence tomography system for diagnostic imaging of pediatric retinoblastoma patients: technology transfer and clinical study

Oleg Nadyarnykh


Coffee & tea // Interactive sessions // Poster removal

Hall // Plenary Room // Library


4DMRI for RT planning: novel precise amplitude binning in the presence of irregular breathing

Zdenko van Kesteren


Robust arterial input functions by fitting the complex DCE-MRI signal: a test-retest study in prostate cancer

Edzo Klawer


Dose warping uncertainties for the cumulative rectal wall dose from brachytherapy in cervical cancer

Laura van Heerden


A back-projection algorithm in the presence of an extra attenuating medium: towards portal dosimetry for the MR-Linac

Iban Torres-Xirau

Computational models of MRI glioma growth : past, present and future clinical applications

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.


Award Ceremony & Closure by Aart Nederveen (board member of iQ)

Plenary Room


Drinks & Snacks, Pub quiz




Plenary Room