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Overview of Scanner Invariant Representations: Moyer et al. 2020, Magn. Reson. Med. Daniel Moyer , Greg ver Steeg, Paul M Thompson MIDL 2020 USC ISI / MIT CSAIL The Scanner Problem Multi-site analyses have varying site signals. Site signals

  1. Overview of Scanner Invariant Representations: Moyer et al. 2020, Magn. Reson. Med. Daniel Moyer , Greg ver Steeg, Paul M Thompson MIDL 2020 USC ISI / MIT CSAIL

  2. The Scanner Problem Multi-site analyses have varying site signals. Site signals don’t generalize. 1

  3. The Scanner Problem Latent factors z without s -bias. 2. Then free to use z about s from x . 1. Remove just the info Inv Representation , , , } { z Data x 2 q ( z | x ) ⊥ s such that z ⊥ s

  4. Architecture x inputs Const Compression Cond. Reconstruction Conditional Auto Encoder: x recon. s site id. x Bound from Moyer et al. 2018: x Conditional Encoder s z 3 Decoder ˆ q ( z | x ) p ( x | z , s ) ˆ I ( z , s ) ≤ − E x , s , z ∼ q [log p ( x | z , s )] + E x [ KL [ q ( z | x ) ∥ q ( z ) ] ] − H ( x | s ) . � �� � � �� � � �� �

  5. Comparison MICCAI CDMRI Challenge 2018 dataset, Mirzaalian et al. 2018 Baseline 4

  6. End Links: • Paper: arxiv:1904.05375 • NeurIPS Paper: arxiv:1805.09458 arxiv:1904.07199 • Inv. Code: https://github.com/dcmoyer/ • Questions: dmoyer@csail.mit.edu Funding: NIH Grants P41 EB015922, R01 MH116147, R56 AG058854, RF1 AG041915, and U54 EB020403, DARPA grant W911NF-16-1-0575, NSF Grant Number DGE-1418060 5

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