Jo Schlemper
Jo Schlemper
Hyperfine
Verified email at hyperfine.io
Title
Cited by
Cited by
Year
Attention u-net: Learning where to look for the pancreas.
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 2018
7252018
A deep cascade of convolutional neural networks for dynamic MR image reconstruction
J Schlemper, J Caballero, JV Hajnal, AN Price, D Rueckert
IEEE transactions on Medical Imaging 37 (2), 491-503, 2017
4832017
Attention gated networks: Learning to leverage salient regions in medical images
J Schlemper, O Oktay, M Schaap, M Heinrich, B Kainz, B Glocker, ...
Medical image analysis 53, 197-207, 2019
2442019
Convolutional recurrent neural networks for dynamic MR image reconstruction
C Qin, J Schlemper, J Caballero, AN Price, JV Hajnal, D Rueckert
IEEE transactions on medical imaging 38 (1), 280-290, 2018
2022018
A deep cascade of convolutional neural networks for MR image reconstruction
J Schlemper, J Caballero, JV Hajnal, A Price, D Rueckert
International conference on information processing in medical imaging, 647-658, 2017
1742017
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
J Duan, G Bello, J Schlemper, W Bai, TJW Dawes, C Biffi, A de Marvao, ...
IEEE transactions on medical imaging 38 (9), 2151-2164, 2019
662019
Adversarial and perceptual refinement for compressed sensing MRI reconstruction
M Seitzer, G Yang, J Schlemper, O Oktay, T Würfl, V Christlein, T Wong, ...
International conference on medical image computing and computer-assisted …, 2018
642018
Joint learning of motion estimation and segmentation for cardiac MR image sequences
C Qin, W Bai, J Schlemper, SE Petersen, SK Piechnik, S Neubauer, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
632018
Attention-gated networks for improving ultrasound scan plane detection
J Schlemper, O Oktay, L Chen, J Matthew, C Knight, B Kainz, B Glocker, ...
arXiv preprint arXiv:1804.05338, 2018
472018
Stochastic deep compressive sensing for the reconstruction of diffusion tensor cardiac MRI
J Schlemper, G Yang, P Ferreira, A Scott, LA McGill, Z Khalique, ...
International conference on medical image computing and computer-assisted …, 2018
372018
Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension
J Duan, J Schlemper, W Bai, TJW Dawes, G Bello, G Doumou, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
222018
Deep learning techniques for magnetic resonance image reconstruction
J Schlemper, SSM Salehi, M Sofka, P Kundu, Z Wang, C Lazarus, ...
US Patent US2020/0034998 A1, 2020
202020
Unsupervised multi-modal style transfer for cardiac MR segmentation
C Chen, C Ouyang, G Tarroni, J Schlemper, H Qiu, W Bai, D Rueckert
International Workshop on Statistical Atlases and Computational Models of …, 2019
202019
Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging
Q Meng, M Sinclair, V Zimmer, B Hou, M Rajchl, N Toussaint, O Oktay, ...
IEEE transactions on medical imaging 38 (12), 2755-2767, 2019
202019
VS-Net: variable splitting network for accelerated parallel MRI reconstruction
J Duan, J Schlemper, C Qin, C Ouyang, W Bai, C Biffi, G Bello, B Statton, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
192019
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning
J Schlemper, O Oktay, W Bai, DC Castro, J Duan, C Qin, JV Hajnal, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
172018
Deep learning techniques for suppressing artefacts in magnetic resonance images
C Lazarus, P Kundu, S Tang, SSM Salehi, M Sofka, J Schlemper, ...
US Patent US2020/0058106 A1, 2020
162020
Deep learning techniques for magnetic resonance image reconstruction
J Schlemper, SSM Salehi, M Sofka, P Kundu, Z Wang, C Lazarus, ...
US Patent US2020/0033431 A1, 2020
162020
Bayesian deep learning for accelerated MR image reconstruction
J Schlemper, DC Castro, W Bai, C Qin, O Oktay, J Duan, AN Price, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2018
142018
Joint motion estimation and segmentation from undersampled cardiac MR image
C Qin, W Bai, J Schlemper, SE Petersen, SK Piechnik, S Neubauer, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2018
112018
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