What's New

Last Posted: Aug 25, 2020

• Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks.
  Majdi Mohammad S et al. Magnetic resonance imaging 2020 Aug
• AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size.
  Ladefoged Claes Nøhr et al. NeuroImage 2020 Aug 117221
• Diagnostic Accuracy of Quantitative Multi-Contrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement.
  Chaudhari Akshay S et al. AJR. American journal of roentgenology 2020 Aug
• Influence of hereditary haemochromatosis on left ventricular wall thickness: does iron overload exacerbate cardiac hypertrophy?
  Rozwadowska K et al. Folia morphologica 2019 78(4) 746-753
• Biventricular imaging markers to predict outcomes in non-compaction cardiomyopathy: a machine learning study.
  Rocon Camila et al. ESC heart failure 2020 Jun
• Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy.
  Savenije Mark H F et al. Radiation oncology (London, England) 2020 May 15(1) 104
• Development of novel machine learning model for right ventricular quantification on echocardiography-A multimodality validation study.
  Beecy Ashley N et al. Echocardiography (Mount Kisco, N.Y.) 2020 May
• Real-time automatic ejection fraction and foreshortening detection using deep learning.
  Smistad Erik et al. IEEE transactions on ultrasonics, ferroelectrics, and frequency control 2020 Mar
• Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.
  Narayana Ponnada A et al. Journal of magnetic resonance imaging : JMRI 2019 Oct
• Understanding Precision Medicine And AI Within The Life Cycle Of Technology Revolutions
  D Shaywitz, Forbes, October 16, 2019
• MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI.
  Aggarwal Hemant K et al. IEEE transactions on medical imaging 2019 Oct
• Improving Access to Care in Sickle Cell Disease
  E Ivy, HRSA, September 23, 2019
• Feasibility of a voice-enabled automated platform for medical data collection: CardioCube.
  Jadczyk Tomasz et al. International journal of medical informatics 2019 Jul 129388-393
• All Your Data Is Health Data- And Big Tech has it all.
  C Warzel, NY Times, August 13, 2019
• Characterization of clot composition in acute cerebral infarct using machine learning techniques.
  Chung Jong-Won et al. Annals of clinical and translational neurology 2019 Apr 6(4) 739-747