Author Archives: mauricio reyes

new MICCAI 2018 workshop announcement

Glad to announce iMIMIC, a new workshop on Interpretability of Machine Intelligence in Medical Image Computing at Miccai 2018. Check out our website at https://imimic.bitbucket.io where we will be posting more information Check out as well our promotional video here: Enjoy! … Continue reading

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Clinical Neuroscience Bern – Science Slam is back this year!

The Clinical Neuroscience Bern network organises every year the Science Slam event, a great initiative to bring neuroscientists to one place; share ideas and challenges in an entertaining and informative manner. If you haven’t yet, check out our 2017 contribution … Continue reading

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Best seven books to check out in 2018 for Machine/Deep Learning and Medical Image Computing

Whether you are teacher, student, computer scientist, or proficient machine learning programmer, there are many times where having a solid reference library on the topic can save you a lot of time and help you to prepare material for your next … Continue reading

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New findings on enhancing interpretability of automatically extracted machine learning features

Sharing recent findings on Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation https://authors.elsevier.com/c/1WKpf4rfPluH2D Abstract: Machine learning systems are achieving better performances at the cost of becoming increasingly complex. However, because of that, … Continue reading

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New findings in automated GBM volumetry, extent of resection and residual tumor

Discover our new findings on automated volumetry for extent-of-resection and residual-tumor for GBM patients. Journal of NeuroSurgery Meier et al. 2016. http://thejns.org/doi/full/10.3171/2016.9.JNS16146  

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Porz et al. PlosOne2016 – Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded

New findings in #BrainTumors volumetry. BraTumIA @unibern @inselgruppe and @BrainLab SmartBrush. Multiple experts http://dx.doi.org/10.1371/journal.pone.0165302

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Introducing FASTER – Fully automated stroke tissue estimation using random forest classifiers

New developments in stroke tissue estimation. Introducing FASTER – Fully Automated Stroke Tissue Estimation using Random forest classifiers. McKinley et al. JCBFM 2016 http://dx.doi.org/10.1177/0271678X16674221    

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Miccai award

Highly grateful for recognition @miccai2016 Collaborative effort @unibern @inselgruppe Stefan Bauer Young Scientist Publication Impact Award

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Brain Lesions Workshop Miccai 2016

Interested in advances in Glioma, MS, Stroke, and trauma brain injuries? The Brain Lesions Miccai Workshop is happening again this year!  http://www.brainlesion-workshop.org

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FISICO: Fast Image Segmentation Correction

New in Plos One – FISICO: Fast Image SegmentatIon COrrection http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0156035 And!…the software tool is available for download here

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