BioMedIA
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September 2016
BioMedIA Talk: Enrico Grisan (University of Padova)
Segmenting 2D+T ultrasound imaging data in fetus: improving the estimation of biomarkers of risky adaptations Abstract: Approximately 10% of the pregnancies are complicated by growth restriction and 7% of pregnancies are complicated by gestational diabetes mellitus (GDM). In addition, the increasing rate of obesity will likely rise the proportion of pregnancies complicated by both Type 2 diabetes mellitus and GDM. Exposure to either dysglycaemia and poor nutrition may have a long-term impact on the developing child's physiology, potentially programming for…
Find out more »October 2016
CSI 2016: Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging
Fourth MICCAI Workshop & Challenge on Spine Imaging In this workshop, we are inviting researchers to share and exchange their experience and expertise in spinal imaging and method development. Topics of interest include, but are not limited to: Clinical applications of spine imaging Computer-aided diagnosis of spine conditions Image-guided spine intervention and treatment Segmentation, registration, detection, and localization of spinal anatomy Statistical modelling of spinal shape and appearance Novel imaging and visualization techniques in spine imaging
Find out more »BACON: Workshop on Brain Analysis using Connectivity Networks
Understanding brain connectivity in a network-theoretic context has shown much promise in recent years. This type of analysis identifies brain organisational principles, bringing a new perspective to neuroscience. At the same time, large public databases of connectomic data are now available. However, connectome analysis is still an emerging field and there is a crucial need for robust computational methods to fully unravel its potential. This workshop provides a platform to discuss the development of new analytic techniques; methods for evaluating…
Find out more »RAMBO: Workshop on Reconstruction and Analysis of Moving Body Organs
This year we are co-organising the Workshop on Brain Analysis using Connectivity Networks at MICCAI’16 in Athens in the morning of Monday 17/10/2016. Please consider to submit your work until 10/06/2016! This workshop targets researchers for whom the effects of motion are critical in image analysis or visualisation. By inviting contributions across application areas we aim to bring together ideas from different fields without being confined to a particular methodology. In particular, the move from model-based to learning-based methods of…
Find out more »January 2017
BioMedIA Talk: Olaf Ronneberger (Google DeepMind / Albert-Ludwigs-Universität Freiburg)
U-net: Convolutional Networks for Biomedical Image Segmentation Abstract: In this talk I will present our u-net for biomedical image segmentation. The architecture consists of an analysis path and a synthesis path with additional shortcut-connections. The network is trained end-to-end from scratch with a very low number of annotated images per application. The surprisingly simple strategy to train a network with such a low number of samples is a data augmentation with elastic deformations. Furthermore the u-net can segment arbitrarily large images…
Find out more »February 2017
BioMedIA Talk: Matthan Caan (Academic Medical Centre & Spinoza Centre for Neuroimaging, Amsterdam)
Quantifying MRI: from reconstruction to application in neuroimaging Abstract: To understand the origin and development of neurological disorders, Magnetic Resonance Imaging (MRI) has proven to provide valuable quantitative measures. In this overview presentation, I will touch upon several topics. Volumetric measures obtained via segmentation find their application in prenatal famine exposure, HIV and ischemic stroke. We developed a scattering transform that has no learnable parameters for computing convolutional neural networks in small patient studies. Diffusion MRI is a sensitive method…
Find out more »March 2017
BioMedIA Talk: Raphael Sznitman (University of Bern, Switzerland)
Finding the needle in the haystack: detection, tracking and registration in biomedical imaging Abstract From centimeter-sized observations visible in endoscopy to nanometer large intra-cellular structures discernible with Electron Microscopes, searching and locating objects of interest in images is a central problem in medical image computing. If anything, the need for efficient object detection techniques has never been higher due to the advent of cheaper and ever more sophisticated imaging devices, able of amassing unprecedented quantities of data. And while…
Find out more »BioMedIA Talk: Wenzhe Shi (Twitter)
Neural network's for super resolution Abstract The most important parts for using neural network's for super resolution are data, network architecture and the objective functions. In this talk we will discuss our innovation in network architecture to make our algorithms running real time on mobile devices as well as how we achieved a new level of perceived qualities for super resolved images by redefining the object functions. Finally we will close the talk by showing what's the best practice…
Find out more »August 2017
BioMedIA Talk: Loic Le Folgoc (Microsoft Research)
Title: Learning structure in complex data: machine learning for medical image segmentation, registration and shape analysis
Find out more »September 2017
BioMedIA Talk: Polina Golland (MIT CSAIL)
Title: MRI of placenta: from pixels to function
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