Past Events from December 16, 2015 – July 6, 2015 – BioMedIA Past Events from December 16, 2015 – July 6, 2015 – BioMedIA

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BioMedIA Talk: Purang Abolmaesumi (University of British Columbia)

Quantitative Ultrasound Imaging for Diagnosis and Intervention: A Machine Learning Approach Abstract: In recent years, quantitative ultrasound has emerged as a promising technology to improve diagnosis, increase the precision of interventions, and automate the acquisition of data specially in point-of- care settings. Advancements in machine learning and computation power have contributed significantly to these developments in quantitative imaging. In … Continued

BioMedIA Talk: Enrico Grisan (University of Padova)

Huxley 217/218

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 … Continued

CSI 2016: Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging

MICCAI 2016 Athens, Greece

 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 … Continued

BACON: Workshop on Brain Analysis using Connectivity Networks

MICCAI'16 InterContinental Athenaeum Athens Syngrou Avenue 89-93, Athens 117 45, Greece

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 … Continued

RAMBO: Workshop on Reconstruction and Analysis of Moving Body Organs

MICCAI'16 InterContinental Athenaeum Athens Syngrou Avenue 89-93, Athens 117 45, Greece

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 … Continued

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 … Continued

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. … Continued

BioMedIA Talk: Raphael Sznitman (University of Bern, Switzerland)

Huxley 341 Room 341, Huxley Building, Department of Computing, Imperial College London, 180 Queen's Gate, London, London, United Kingdom

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 … Continued

BioMedIA Talk: Wenzhe Shi (Twitter)

Huxley 218

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 … Continued