Kevin Keraudren
18 SlideShares 13 Followers 12 Followings
Personal Information
Organization / Workplace
London, United Kingdom United Kingdom
Occupation
Research Engineer at VisionRT
Industry
Medical / Health Care / Pharmaceuticals
Website
kevin-keraudren.blogspot.co.uk/
About
I am particularly interested in medical imaging, computer vision and machine learning. I have experience in image segmentation, object localisation and image registration applied to cell microscopy, fetal MRI, cardiac 3D ultrasound and whole-body MRI.
Contact Details
Tags
medical imaging python cython jupyter pydata random forests miccai autocontext cetus xkcd cell segmentation image processing phd reading group irtk
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Presentations

(11)
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Segmenting Epithelial Cells in High-Throughput RNAi Screens (MIAAB 2011)

10 years ago • 885 Views

Introduction to cython: example of GCoptimization

10 years ago • 1237 Views

Reading group - 22/05/2013

10 years ago • 604 Views

Slides presented at the Steiner Unit, Hammersmith Hospital, 08/06/2012

10 years ago • 548 Views

Slides on Photosynth.net, from my MSc at Imperial

9 years ago • 438 Views

Faceccrumbs: Manifold Learning on 1M Face Images, MSc group project

9 years ago • 364 Views

Endocardial 3D Ultrasound Segmentation using Autocontext Random ForestsPresentation

9 years ago • 554 Views

Sparsity Based Spectral Embedding: Application to Multi-Atlas Echocardiography Segmentation

9 years ago • 1141 Views

Automated Fetal Brain Segmentation from 2D MRI Slices for Motion Correction

9 years ago • 2228 Views

PyData London 2015 - Localising Organs of the Fetus in MRI Data Using Python

8 years ago • 1520 Views

PhD viva - 11th November 2015

8 years ago • 660 Views

Documents

(7)
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Keraudren-K-2015-PhD-Thesis

7 years ago • 241 Views

Segmenting Epithelial Cells in High-Throughput RNAi Screens (Miaab 2011)

7 years ago • 213 Views

Automatic Localisation of the Brain in Fetal MRI (Miccai 2013)

7 years ago • 164 Views

Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features (Miccai 2015 poster)

7 years ago • 193 Views

Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features (Miccai 2015)

7 years ago • 134 Views

Automated Fetal Brain Segmentation from 2D MRI Slices for Motion Correction (NeuroImage 2014)

7 years ago • 320 Views

Automatic Localisation of the Brain in Fetal MRI (Miccai 2013 poster)

7 years ago • 279 Views

Likes

(4)
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Surface Guided Radiotherapy for Accuracy, Volume Reduction, Real time Tracking and Dose Verification

SGRT Community • 6 years ago

MRI artifacts

Sudil Paudyal • 10 years ago

IXI(CO): Progressing a scientific GRID project to an end-to-end solution.

hartkens • 10 years ago

Hot Topics 2009

MRC Clinical Sciences Centre • 14 years ago
Personal Information
Organization / Workplace
London, United Kingdom United Kingdom
Occupation
Research Engineer at VisionRT
Industry
Medical / Health Care / Pharmaceuticals
Website
kevin-keraudren.blogspot.co.uk/
About
I am particularly interested in medical imaging, computer vision and machine learning. I have experience in image segmentation, object localisation and image registration applied to cell microscopy, fetal MRI, cardiac 3D ultrasound and whole-body MRI.
Tags
medical imaging python cython jupyter pydata random forests miccai autocontext cetus xkcd cell segmentation image processing phd reading group irtk
See more