AI Research Engineer @Philips, obtained PhD @ErasmusMC, AI for Medical Imaging, Machine Learning, Image-guided procedures, Cardiovascular Image Analysis
Looking for material to dive into geometric deep learning?
As part of the @AIMS_Next #AMMI2021, we (@mmbronstein@joanbruna@TacoCohen) have delivered a course on GDL, which closely follows our proto-book. We make all materials publicly available!
https://t.co/ZsBDVa82Cp
My group @BIGR_ErasmusMC is looking for an enthousiastic PhD student who will work on the border between AI/image processing and the clinic to improve the diagnosis of soft tissue tumors. Interrested? Feel free to apply or send me a PM!
https://t.co/JuxY0Thl3v
When I learned scrum in our company, I was already thinking how this could be applied in an acamedic team. It's interesting to see this has actually been implemented.
On 12-Feb-2020, I successfully defended my PhD thesis titled "Dynamic Analysis of X-ray Angiography for Image-Guided Coronary Interventions" at Erasmus MC. It was a great experience at the ceremony. Thank everyone who helped me on my PhD journey and finally make this possible!
I'm happy to announce that our paper "Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering" has been accepted for publication in Medical Image Analysis: https://t.co/G36KI2kD1m
arXiv: https://t.co/K4YMG8aMn1
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering
https://t.co/iZRN0F8j1o
by Hua Ma et al.
#ConvolutionalNeuralNetworks#DeepLearning
Schmidhuber's opinion piece about citations in 2011
They are comparable to the less-than-worthless collateralized debt obligations that drove the recent financial bubble, and, unlike concrete goods and real exports, they are easy to print and inflate. 🔥
https://t.co/LweILXvnNQ
Medis Medical Imaging Systems B.V. is pleased to announce that it has received clearance from the U.S. Food and Drug Administration for its QANGIO XA 3D technology (QFR®).
Read complete press release >> https://t.co/3xZjj1JpRz
Here once again the #MICCAI2018@miccai2018 word cloud of submitted paper titles, now compared against 5 years ago at @miccai2013 in Nagoya (courtesy of Ken Mori @kensakum)
2018: "Image segmentation using deep learning”
2013: "Image segmentation and registration in brain MRI”
The last day after the program of medical imaging summer school in Favignana, lucky to have the chance to see such a beautiful sun set #Favignana#MISS2018#Sicily
My personal lesson (in addition to this slide) I learned from Larry Zitnick's talk: No idea comes from nothing. Every great idea in deep learning must have its own root in the dark age of computer vision. #MISS2018#DeepLearning#ComputerVision