#ISMRM19
What a terrific session this morning at #ISMRM19, #ISMRM2019 on uncertainty et al in deep learningOf particular interest, uncertainty estimation for synthetic CT generation by Hemsley&co; joint MR-PET Leynes&co @pezlarson; + Bo Zhu👍

ismrm.org/19/program_fil…
ISMRM19 - Deep Learning: Acquisition, Uncertainty & Prediction
A Course at the 2019 ISMRM Annual Meeting.
www.ismrm.org
December 10, 2024 at 8:52 PM
Tomorrow 13:45-14:45 #ISMRM19 the study group #MRI in #Radiotherapy" will gather in 511A. This is the first time the group will meet, so do not lose the occasion to come and share your ideas!
December 10, 2024 at 8:52 PM
Outstanding presentation by Tom Bruijnen et al from @UMCU_Intl at #ISMRM19, #ISMRM2019 @ISMRM on prospective correction of eddy currents on bSSFP (and beyond

cds.ismrm.org/protected/19MP…
December 10, 2024 at 8:52 PM
Ppsss, #ISMRM19 if you are looking for a quite hour break, just head to the Museum of Archeology and Historywith a nice Belvedere!

pacmusee.qc.ca/en/
December 10, 2024 at 8:52 PM
Nice session at #ISMRM19 on Advances in #MRI-Guided Radiotherapy of Cancer. Here quick sum-up of MR-based synthetic-CT methods presented at the congress from Andreas Wetscherek
December 10, 2024 at 8:52 PM
#ISMRM19 @ISMRM in numbers...
December 10, 2024 at 8:52 PM
Max Zaitev #ISMRM19 setting the pace for the #MRI Open Source software session. Nice intro and overview. It's gonna be a great session...
December 10, 2024 at 8:52 PM
Live from WE-09B in #Montreal, #ISMRM19: What a session on imaging for #prostate #cancer. Highly suggested to get an overview of the #MRI sequences in use and their rationale for PCa diagnosis & treatment. Thanks to Bittencourt L, Takahashi S & Verma S!

ismrm.org/19/program_fil…
ISMRM19 - Hepatobiliary & Imaging of Prostate Cancer
A Course at the 2019 ISMRM Annual Meeting.
www.ismrm.org
December 10, 2024 at 8:52 PM
Pollina Golland at #ISMRM19 from @MIT_CSAIL on an application of Machine Learning. Interesting use of RNN for interactive segmentation on limited data (heart disease):

arxiv.org/abs/1809.04182
Iterative Segmentation from Limited Training Data: Applications to...
We propose a new iterative segmentation model which can be accurately learned from a small dataset. A common approach is to train a model to directly segment an image, requiring a large collection...
arxiv.org
December 10, 2024 at 8:52 PM
In WE-08 prof. Tal Arbel @mcgillu at #ISMRM19 deals with uncertainty in Machine Learning. Key point: Montecarlo dropout to estimate uncertainty + show the uncertainty to your docs, they will move upon. Key ref:

arxiv.org/abs/1808.01200
Exploring Uncertainty Measures in Deep Networks for Multiple...
Deep learning (DL) networks have recently been shown to outperform other segmentation methods on various public, medical-image challenge datasets [3,11,16], especially for large pathologies....
arxiv.org
December 10, 2024 at 8:52 PM
The flight from AMS today was so full of #ISMRM19 participant that the captain wished us a good congress...that's surely a good start ;)
December 10, 2024 at 8:51 PM