publications

For the full list, see google scholar.

2023

  1. dsformer_preview.png
    DSFormer: a dual-domain self-supervised transformer for accelerated multi-contrast MRI reconstruction
    Bo Zhou, Neel Dey, Jo Schlemper, and 4 more authors
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

  1. mls_preview.png
    Point-of-Care MRI with Artificial Intelligence to Measure Midline Shift in Acute Stroke Follow-Up
    Prantik Kundu, Seyed Sadegh Mohseni Salehi, Bradley A Cahn, and 8 more authors
    medRxiv, 2022
  2. contrareg_preview.png
    ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration
    Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, and 3 more authors
    In Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VI, 2022
  3. ddss_2_preview.png
    Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction
    Bo Zhou, Jo Schlemper, Neel Dey, and 5 more authors
    Medical Image Analysis, 2022

2021

  1. systematic_preview.png
    Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination
    Kerstin Hammernik, Jo Schlemper, Chen Qin, and 3 more authors
    Magnetic Resonance in Medicine, 2021

2020

  1. dlmri_patent_preview.png
    Deep learning techniques for magnetic resonance image reconstruction
    Jo Schlemper, Seyed Sadegh Moshen Salehi, Michal Sofka, and 7 more authors
    Jan 2020
    US Patent US2020/0033431 A1
  2. dccnn_pocmri_preview.png
    Deep learning MRI reconstruction in application to point-of-care MRI
    Jo Schlemper, Seyed Sadegh Mohseni Salehi, Carole Lazarus, and 8 more authors
    In Proceedings of the annual meeting of the ISMRM, Jan 2020

2019

  1. attention_preview.jpg
    Attention gated networks: Learning to leverage salient regions in medical images
    Jo Schlemper, Ozan Oktay, Michiel Schaap, and 4 more authors
    Medical image analysis, Jan 2019
  2. biventricular_preview.png
    Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
    Jinming Duan, Ghalib Bello, Jo Schlemper, and 7 more authors
    IEEE transactions on medical imaging, Jan 2019
  3. nvn_preview.png
    Nonuniform variational network: deep learning for accelerated nonuniform MR image reconstruction
    Jo Schlemper, Seyed Sadegh Mohseni Salehi, Prantik Kundu, and 4 more authors
    In Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III 22, Jan 2019

2018

  1. crnn_preview.png
    Convolutional recurrent neural networks for dynamic MR image reconstruction
    Chen Qin, Jo Schlemper, Jose Caballero, and 3 more authors
    IEEE transactions on medical imaging, Jan 2018
  2. gan_mrirecon_preview.png
    Adversarial and perceptual refinement for compressed sensing MRI reconstruction
    Maximilian Seitzer, Guang Yang, Jo Schlemper, and 8 more authors
    In Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, Jan 2018
  3. cardiac_latent_net_preview.png
    Cardiac MR segmentation from undersampled k-space using deep latent representation learning
    Jo Schlemper, Ozan Oktay, Wenjia Bai, and 5 more authors
    In Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, Jan 2018

2017

  1. dccnn_architecture.png
    A deep cascade of convolutional neural networks for MR image reconstruction
    Jo Schlemper, Jose Caballero, Joseph V Hajnal, and 2 more authors
    In Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings 25, Jan 2017