Jo Schlemper
Publications by Year
Research Areas
Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications, Medical Image Segmentation Techniques, Sparse and Compressive Sensing Techniques, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Attention U-Net: Learning Where to Look for the Pancreas(2018)4,524 cited
- → Attention gated networks: Learning to leverage salient regions in medical images(2019)1,835 cited
- → A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction(2017)1,336 cited
- → Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction(2018)609 cited
- → A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction(2017)342 cited
- → Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach(2019)226 cited
- → Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences(2018)149 cited
- → Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction(2018)97 cited
- → Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination(2021)89 cited
- → Attention-Gated Networks for Improving Ultrasound Scan Plane Detection(2018)87 cited