Deep Learning
PhysGNN: APhysics-DrivenGraphNeuralNetwork BasedModelforPredictingSoftTissueDeformationin Image-GuidedNeurosurgery
On the other hand, model-based methods are a set of registration techniques that treat images as a deformable volume--a notion first introduced by Broit [1981]--to better allow for presenting elastic and plastic deformations.
Reversible Recurrent Neural Networks
Matthew MacKay, Paul Vicol, Jimmy Ba, Roger B. Grosse
Neural Information Processing Systems http://nips.cc/
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
Jasper Snoek, Yaniv Ovadia, Emily Fertig, Balaji Lakshminarayanan, Sebastian Nowozin, D. Sculley, Joshua Dillon, Jie Ren, Zachary Nado
Neural Information Processing Systems http://nips.cc/
Powerset Convolutional Neural Networks
Chris Wendler, Markus Püschel, Dan Alistarh
Neural Information Processing Systems http://nips.cc/