
Inferring a Continuous Distribution of Atom Coordinates from CryoEM Images using VAEs
Cryoelectron microscopy (cryoEM) has revolutionized experimental prote...
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On the unreasonable effectiveness of CNNs
Deep learning methods using convolutional neural networks (CNN) have bee...
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Kernel of CycleGAN as a Principle homogeneous space
Unpaired imagetoimage translation has attracted significant interest d...
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A unified representation network for segmentation with missing modalities
Over the last few years machine learning has demonstrated groundbreaking...
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MultiScale Learned Iterative Reconstruction
Modelbased learned iterative reconstruction methods have recently been ...
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Deep Bayesian Inversion
Characterizing statistical properties of solutions of inverse problems i...
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Task adapted reconstruction for inverse problems
The paper considers the problem of performing a task defined on a model ...
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Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction
Digital breast tomosynthesis is rapidly replacing digital mammography as...
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Banach Wasserstein GAN
Wasserstein Generative Adversarial Networks (WGANs) can be used to gener...
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A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images
CBCT images suffer from acute shading artifacts primarily due to scatter...
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Learning to solve inverse problems using Wasserstein loss
We propose using the Wasserstein loss for training in inverse problems. ...
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Learned Primaldual Reconstruction
We propose the Learned PrimalDual algorithm for tomographic reconstruct...
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Solving illposed inverse problems using iterative deep neural networks
We propose a partially learned approach for the solution of ill posed in...
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Jonas Adler
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