From post

MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction.

, , , и . MIDL, том 121 из Proceedings of Machine Learning Research, стр. 696-708. PMLR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

No persons found for author name Ramanarayanan, Sriprabha
add a person with the name Ramanarayanan, Sriprabha
 

Другие публикации лиц с тем же именем

MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction., , , и . MIDL, том 121 из Proceedings of Machine Learning Research, стр. 696-708. PMLR, (2020)Axonal transport velocity estimation from kymographs based on curvilinear feature extraction and spline fitting., , , , , и . EMBC, стр. 4240-4243. IEEE, (2014)Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks., , , и . Appl. Soft Comput., (октября 2023)Reference-Based Texture Transfer For Single Image Super-Resolution Of Magnetic Resonance Images., , , и . ISBI, стр. 579-583. IEEE, (2021)SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction., , , , , и . MILLanD@MICCAI, том 14307 из Lecture Notes in Computer Science, стр. 138-147. Springer, (2023)A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction., , , , , и . Comput. Medical Imaging Graph., (2021)A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction., , , , , и . CoRR, (2022)MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction., , , и . CoRR, (2021)Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning., , , и . EMBC, стр. 1-5. IEEE, (2023)MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss., , , , , , и . EMBC, стр. 1584-1587. IEEE, (2020)