4 papers
A Structural Causal Model for MR Images of Multiple Sclerosis
Jacob C. Reinhold, Aaron Carass, Jerry L. Prince
Precision medicine involves answering counterfactual questions such as "Would this patient respond better to treatment A or treatment B?" These types of questions are causal in nat…
Validating uncertainty in medical image translation
Jacob C. Reinhold, Yufan He, Shizhong Han +5
Medical images are increasingly used as input to deep neural networks to produce quantitative values that aid researchers and clinicians. However, standard deep neural networks do…
Finding novelty with uncertainty
Jacob C. Reinhold, Yufan He, Shizhong Han +5
Medical images are often used to detect and characterize pathology and disease; however, automatically identifying and segmenting pathology in medical images is challenging because…
Evaluating the Impact of Intensity Normalization on MR Image Synthesis
Jacob C. Reinhold, Blake E. Dewey, Aaron Carass +1
Image synthesis learns a transformation from the intensity features of an input image to yield a different tissue contrast of the output image. This process has been shown to have…