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…
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
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…
ismrm.org/19/program_fil…
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
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!
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…
cds.ismrm.org/protected/19MP…
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…
cds.ismrm.org/protected/19MP…
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/
pacmusee.qc.ca/en/
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/
pacmusee.qc.ca/en/
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
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
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…
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
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
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
arxiv.org/abs/1809.04182
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
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
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
arxiv.org/abs/1808.01200
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
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 ;)